├── .idea ├── misc.xml ├── modules.xml ├── python.iml ├── vcs.xml └── workspace.xml ├── Features ├── Structural.py └── __init__.py ├── README.md ├── SRILM ├── ExtractTestSetByNGram.py ├── ExtractTrainSetByNGram.py ├── IntegrateFeature.py └── __init__.py ├── Train ├── DecisionTree.py ├── SVM.py ├── __init__.py ├── test1.py └── train.py ├── __pycache__ └── config.cpython-35.pyc ├── config.py ├── dataset ├── Features20171110.xlsx ├── condensedFeatures20171115.xlsx └── condensedTestFeatures20171115.xlsx ├── image ├── ExtraTrees test result.png ├── ExtraTrees train result.png ├── Scoring │ ├── Concession_new_features.png │ ├── Conclusion_new_features.png │ ├── Introduction_new_features.png │ └── Reason_new_features.png ├── 分析树.png └── 篇章结构评分系统思维导图.png ├── model └── 20171110 │ ├── modal │ ├── ADMResult │ ├── ADMTrain.txt.count │ ├── ADMTrainLM │ ├── BGResult │ ├── BGTrain.txt.count │ ├── BGTrainLM │ ├── EEXPResult │ ├── EEXPTrain.txt.count │ ├── EEXPTrainLM │ ├── EGResult │ ├── EGTrain.txt.count │ ├── EGTrainLM │ ├── GRLTrain.txt.count │ ├── IRLTrain.txt.count │ ├── PTResult │ ├── PTTrain.txt.count │ ├── PTTrainLM │ ├── RAFMResult │ ├── RAFMTrain.txt.count │ ├── RAFMTrainLM │ ├── REXPResult │ ├── REXPTrain.txt.count │ ├── REXPTrainLM │ ├── RSTrain.txt.count │ ├── RTTResult │ ├── RTTTrain.txt.count │ ├── RTTTrainLM │ ├── SRSResult │ ├── SRSTrain.txt.count │ ├── SRSTrainLM │ └── TSTTrain.txt.count │ ├── test │ ├── BGTest.txt │ └── testFile.txt │ └── train │ ├── ADMFile.txt │ ├── BGFile.txt │ ├── EEXPFile.txt │ ├── EGFile.txt │ ├── GRLFile.txt │ ├── IRLFile.txt │ ├── PTFile.txt │ ├── RAFMFile.txt │ ├── REXPFile.txt │ ├── RSFile.txt │ ├── RTTFile.txt │ ├── SRSFile.txt │ └── TSTFile.txt ├── nltkTest ├── __init__.py ├── __pycache__ │ └── __init__.cpython-35.pyc ├── nltkDemo.py ├── nltkDemo2.py └── nltkDemo3.py ├── preprocessing ├── DataNormalize.py ├── DataProcessing.py └── __init__.py └── result ├── DecisionTreeResult.text ├── DecisionTreeResult20171114.text ├── ExtraTreesCrossValidationResult20171115.text ├── ExtraTreesCrossValidationResult2017111501.text ├── ExtraTreesCrossValidationResult2017111502.text ├── ExtraTreesCrossValidationResult20171116.text ├── ExtraTreesCrossValidationResult20171117.text ├── ExtraTreesCrossValidationResult20171120.text ├── ExtraTreesCrossValidationResult20171121.text ├── ExtraTreesCrossValidationResult20171122.text ├── ExtraTreesPredictResult2017111501.text ├── ExtraTreesPredictResult2017111502.text ├── ExtraTreesPredictResult20171116.text ├── ExtraTreesPredictResult20171117.text ├── ExtraTreesPredictResult20171120.text ├── ExtraTreesPredictResult20171121.text ├── ExtraTreesPredictResult2017112101.text ├── ExtraTreesPredictResult20171122.text ├── ExtraTreesResult.text ├── ExtraTreesResult20171114.text ├── ExtraTreesResult20171115.text ├── RandomForestCrossValidationResult20171116.text ├── RandomForestPredictResult20171116.text ├── RandomForestPredictResult20171117.text ├── RandomForestResult.text ├── RandomForestResult20171114.text ├── RandomForestResult20171115.text ├── SVMPredictResult20171117.text └── SVMResult20171114.text /.idea/misc.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | Buildout 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 30 | 31 | 32 | 33 | 34 | 35 | -------------------------------------------------------------------------------- /.idea/modules.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /.idea/python.iml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /.idea/vcs.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | -------------------------------------------------------------------------------- /Features/Structural.py: -------------------------------------------------------------------------------- 1 | import openpyxl 2 | import nltk 3 | import re 4 | import config 5 | configs = config.configs 6 | import os 7 | from nltk.parse import stanford 8 | from datetime import datetime 9 | # from nltk.tokenize import sent_tokenize 10 | 11 | os.environ["STANFORD_PARSER"] = configs['stanfordParserPath'] 12 | os.environ["STANFORD_MODELS"] = configs['stanfordParserModelsPath'] 13 | parser = stanford.StanfordParser(model_path=u"edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz") 14 | 15 | nltk.data.path.append(configs['nltkDataPath']) 16 | 17 | # 记录程序开始执行时间 18 | start = datetime.now() 19 | 20 | readBook = openpyxl.load_workbook(configs['dataSetPath']) 21 | readSheet = readBook.active 22 | 23 | writeBook = openpyxl.load_workbook(configs['extractFeaturesPath']) 24 | writeSheet = writeBook.active 25 | 26 | writeTestBook = openpyxl.load_workbook(configs['extractTestFeaturesPath']) 27 | writeTestSheet = writeTestBook.active 28 | 29 | # 分割不带标签的句子 注：无法识别标点符号后不带空格的句子，故放弃这种方式 30 | # def segregateSentence(paraContent): 31 | # # sent_tokenizer = nltk.data.load('tokenizers/punkt/english.pickle') 32 | # # sentences = sent_tokenizer.tokenize(paraContent) 33 | # sentences = sent_tokenize(paraContent) 34 | # return sentences 35 | 36 | # 分割带标签的句子 37 | def segregateSentenceByTag(paraContentTag): 38 | sentencesTag = re.split(r'(<[A-Z]{2,4}>)', paraContentTag) 39 | tags = [] 40 | sentences = [] 41 | 42 | for index in range(len(sentencesTag)): 43 | if sentencesTag[index] == "": 44 | continue 45 | elif index%2 == 0: 46 | sentence = re.split(r'()', sentencesTag[index]) 47 | sentences.append(sentence[0].strip()) 48 | continue 49 | else: 50 | tags.append(configs['Tags'][sentencesTag[index]]) 51 | 52 | return sentences, tags 53 | 54 | # 获取一个句子中的单词个数以及句子的标点符号 55 | def getWordCountAndPunctuation(sentence): 56 | words = re.split(r"\s+", sentence) 57 | return len(words), words[-1][-1] 58 | #return len(nltk.word_tokenize(sentence)) 59 | 60 | # 获取一个句子的分析树的深度 61 | def getParseTreeDepth(sentence): 62 | trees = parser.raw_parse(sentence) 63 | tree = next(trees) 64 | if tree is None: 65 | return 0 66 | return tree.height() 67 | 68 | # 获取句子时态特征 69 | def getSentenceTense(sentence): 70 | #分词 71 | tokens = nltk.word_tokenize(sentence) 72 | #词性标注 73 | tags = nltk.pos_tag(tokens) 74 | i_1 = 0 75 | i_2 = 0 76 | for tag in tags: 77 | if tag[1] not in configs['tense']: 78 | continue 79 | elif configs['tense'][tag[1]] == 1: 80 | i_1 += 1 81 | elif configs['tense'][tag[1]] == 2: 82 | i_2 += 1 83 | return 1 if i_1 >= i_2 else 2 84 | 85 | def extractTrainStructuralFeature(): 86 | 87 | rows = [] 88 | 89 | for i in range(readSheet.max_row - 51): 90 | paraContentTag = readSheet.cell(row=i + 2, column=8).value 91 | sentencesAndTag = segregateSentenceByTag(paraContentTag) 92 | 93 | sentences = sentencesAndTag[0] 94 | tags = sentencesAndTag[1] 95 | 96 | for index in range(len(sentences)): 97 | print((i + 2), sentences[index]) 98 | wordCountAndPunctuation = getWordCountAndPunctuation(sentences[index]) 99 | 100 | row = [readSheet.cell(row=i + 2, column=1).value, # ID 101 | readSheet.cell(row=i + 2, column=2).value, # ParaType 102 | readSheet.cell(row=i + 2, column=5).value, # Structure 103 | sentences[index], # SentenceContent 104 | tags[index], # SentenceTag 105 | wordCountAndPunctuation[0], # WordCount 106 | wordCountAndPunctuation[1], # Punctuation 107 | index, # position 108 | getParseTreeDepth(sentences[index]), # parseTreeDepth 109 | getSentenceTense(sentences[index]), # tense 110 | '0%' 111 | ] 112 | 113 | for indicator in configs['indicators']: 114 | row.append(1) if indicator in sentences[index] \ 115 | or indicator.capitalize() in sentences[index] else row.append(0) 116 | 117 | rows.append(row) 118 | 119 | for row in rows: 120 | writeSheet.append(row) 121 | 122 | writeBook.save(configs['extractFeaturesPath']) 123 | 124 | def extractTestStructuralFeature(): 125 | 126 | rows = [] 127 | 128 | for i in range(51): 129 | k = i + readSheet.max_row - 50 130 | paraContentTag = readSheet['H' + str(k)].value 131 | sentencesAndTag = segregateSentenceByTag(paraContentTag.strip()) 132 | 133 | sentences = sentencesAndTag[0] 134 | tags = sentencesAndTag[1] 135 | 136 | for index in range(len(sentences)): 137 | print((k), sentences[index]) 138 | wordCountAndPunctuation = getWordCountAndPunctuation(sentences[index]) 139 | 140 | row = [readSheet['A' + str(k)].value, # ID 141 | readSheet['B' + str(k)].value, # ParaType 142 | readSheet['E' + str(k)].value, # Structure 143 | sentences[index], # SentenceContent 144 | tags[index], # SentenceTag 145 | configs['paraType'][readSheet['B' + str(k)].value], # ParaTag 146 | 0, 0, #BeforeSentenceTag,AfterSentenceTag 147 | wordCountAndPunctuation[0], # WordCount 148 | wordCountAndPunctuation[1], # Punctuation 149 | index, # position 150 | getParseTreeDepth(sentences[index]), # parseTreeDepth 151 | getSentenceTense(sentences[index]), # tense 152 | 0,0,0,0,0,0,0,0,0 153 | ] 154 | 155 | for indicator in configs['indicators']: 156 | row.append(1) if indicator in sentences[index] \ 157 | or indicator.capitalize() in sentences[index] else row.append(0) 158 | 159 | rows.append(row) 160 | 161 | for row in rows: 162 | writeTestSheet.append(row) 163 | 164 | writeTestBook.save(configs['extractTestFeaturesPath']) 165 | 166 | # 测试代码 167 | # paraContentTag = readSheet.cell(row = 68, column = 8).value 168 | # tags = segregateSentenceTag(paraContentTag) 169 | # print(tags) 170 | # print(len(tags)) 171 | # 172 | # paraContent = readSheet.cell(row = 68, column = 4).value 173 | # sentences = segregateSentence(paraContent) 174 | # print(sentences) 175 | # print(len(sentences)) 176 | # 177 | # from nltk.tokenize import sent_tokenize 178 | # sents = sent_tokenize(readSheet.cell(row = 68, column = 4).value) 179 | # print(sents) 180 | # print(len(sents)) 181 | # 182 | # from nltk.tokenize import PunktSentenceTokenizer 183 | # punkts = PunktSentenceTokenizer().tokenize(readSheet.cell(row = 68, column = 4).value) 184 | # print(punkts) 185 | # print(len(punkts)) 186 | 187 | # segregateSentenceTag(readSheet.cell(row = 68, column = 8).value) 188 | # 189 | # for s in sentences: 190 | # print(s) 191 | 192 | # for index in range(len(sentences)): 193 | # print(index) 194 | # print(tags[index]) 195 | 196 | # 计算程序运行总时间(秒) 197 | extractTestStructuralFeature() 198 | 199 | elapsed = (datetime.now() - start).seconds 200 | print('Time used : ', elapsed) -------------------------------------------------------------------------------- /Features/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhouM1118/NLPForDiscourseStructures/37d86f732949f917a14741e4aec04574898d79f6/Features/__init__.py -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## 议论文篇章结构评分系统 2 | 3 | ## 一、项目概述 4 | 5 | 本项目为自动作文评分中篇章结构的评分，第一版本方案（篇章结构评分系统V1.0.0）主要包括篇章结构特征提取模块、篇章结构评分模型训练模块以及模型测试模块三部分，后期根据模型效果再加以优化改进。 6 | 7 | ## 二、功能接口定义 8 | 9 | 输入数据：一篇文章 10 | 输出数据：该文章的篇章结构分数 11 | 12 | ## 三、总体流程 13 | 14 | ### 3.1 篇章结构标签介绍 15 | 16 | 目前的方案主要是判断篇章结构的完整度，一个完整的议论文文章应该包含以下篇章结构： 17 | 18 | #### 3.1.1 开头段 19 | 20 | * 背景（background）：\\ 21 | * 观点（point）：\\ 22 | * 过渡句（transition）：\\ 23 | 24 | #### 3.1.2 理由段 25 | 26 | * 理由（reason）：\\ 27 | * 理由解释（reason explanation）：\\ 28 | * 例子（example）：\\ 29 | * 例子解释（example explanation）：\\ 30 | * 例子泛化（generalization）：\\ 31 | 32 | #### 3.1.3 让步段 33 | 34 | * 承认对方优点（admission）：\\ 35 | * 反驳对方观点（retort）：\\ 36 | 37 | #### 3.1.4 总结段 38 | 39 | * 理由总结（sum reason）：\\ 40 | * 观点重申（reaffirm）：\\ 41 | 42 | #### 3.1.5 无关段 43 | （与文章无关的句子，有没有这部分都不影响篇章结构分数） 44 | 45 | * 与文章无关（irrelevant）：\\ 46 | 47 | 我们使用篇章结构评分系统来对测试集中每篇文章中的每个句子进行篇章结构类别分类，以篇章结构是否完整为评价标准进行作文评分。 48 | 49 | 篇章结构评分系统思维导图见image目录下的“篇章结构评分系统思维导图.png” 50 | 51 | ### 3.2 特征提取 52 | 53 | #### 3.2.1 对于结构特征： 54 | 55 | * 利用NLTK对句子进行词分割，进而统计句子中词的个数; 56 | * 以段落的句子结束的标点符号进行分割句子，位置特征由两部分组成：句子所在段落位置和句子在段落中的位置； 57 | * 标点符号特征分为三类：句号、问号和感叹号； 58 | * 依据评分经验，我们将当前句子前后一句的篇章结构标签作为该句子的一个篇章结构特征，文章首句的前一个句子和末尾句的后一个句子的篇章结构标签设为0； 59 | * 设置句子所属段落标签：开头、理由、让步、总结。 60 | 61 | #### 3.2.2 对于词汇特征： 62 | 63 | * 使用SRILM中的n-gram工具来训练语言模型，分别对不同类别的篇章结构进行训练，构建n-gram训练模型，然后再计算某个句子属于不同类别篇章结构的概率，将这个概率作为一个数值特征； 64 | * 使用NLTK中的POS工具对句子中的单词进行词性标注。 65 | 66 | #### 3.2.3 对于句法特征： 67 | 68 | * 使用NLTK中的Stanford分析器构建分析树（分析树图见image目录下的“分析树图.png”），我们提取分析树的深度作为一个数值特征，分析树如下图3所示； 69 | * 我们主要以一个句子中的动词和谓语的时态作为句子的时态，而动词和谓语的时态识别可以由词性标注步骤来完成。 70 | 71 | #### 3.2.4 对于指示词特征： 72 | 73 | * 将一个句子中的动词、副词、情态动词以及第一人称代词与事先归纳的指示词表进行对比，统计一个指示词与所属类别之间的概率统计。 74 | 75 | ### 3.3 模型训练与测试 76 | 77 | 我们使用sklearn中的SVM和随机森林来训练模型，输入上面我们提取的特征组成的特征向量，训练好分类模型之后使用测试集数据进行测试，并计算准确度。 78 | 79 | ## 四、参考文献 80 | 81 | 1.Christian Stab, Iryna Gurevych. Identifying Argumentative Discourse Structures in Persuasive Essays, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014, pages 46-56. 82 | 83 | 2.Rashmi Prasad, Eleni Miltsakaki, Nikhil Dinesh, Alan Lee, Aravind Joshi, Livio Robaldo, and Bonnie L. Webber. 2007. The Penn Discourse Treebank 2.0 annotation manual. Technical report, Institute for Research in Cognitive Science, University of Pennsylvania. 84 | 85 | 3.Roger Levy.Working with n-grams in SRILM.2015 86 | 87 | 4.http://www.nltk.org/api/nltk.html 88 | 89 | 5.http://scikit-learn.org/stable/modules/classes.html 90 | 91 | 6.https://ynuwm.github.io/2017/05/24/SRILM%E8%AE%AD%E7%BB%83%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B%E5%AE%9E%E6%88%98/ -------------------------------------------------------------------------------- /SRILM/ExtractTestSetByNGram.py: -------------------------------------------------------------------------------- 1 | import openpyxl 2 | import config 3 | configs = config.configs 4 | 5 | # 提取在训练集中所有的句子 6 | def extractTestContent(): 7 | 8 | readBook = openpyxl.load_workbook(configs['extractFeaturesPath']) 9 | # 获取当前正在显示的sheet 10 | readSheet = readBook.active 11 | 12 | testFile = open('/Users/ming.zhou/NLP/datasets/ngram/test/testFile.txt', 'a') 13 | testContent = [] 14 | 15 | for i in range(readSheet.max_row - 1): 16 | sentence = readSheet.cell(row=i + 2, column=4).value 17 | testContent.append(sentence + '\n') 18 | 19 | testFile.writelines(testContent) 20 | testFile.close() 21 | 22 | # 提取测试模型的句子 23 | def extractTestSetContent(): 24 | 25 | readTestBook = openpyxl.load_workbook(configs['extractTestFeaturesPath']) 26 | # 获取当前正在显示的sheet 27 | readTestSheet = readTestBook.active 28 | 29 | testSetFile = open('/Users/ming.zhou/NLP/datasets/ngram/test/testSetFile.txt', 'a') 30 | testSetContent = [] 31 | 32 | for i in range(readTestSheet.max_row - 1): 33 | sentence = readTestSheet['D' + str(i + 2)].value 34 | testSetContent.append(sentence + '\n') 35 | 36 | testSetFile.writelines(testSetContent) 37 | testSetFile.close() 38 | 39 | extractTestSetContent() -------------------------------------------------------------------------------- /SRILM/ExtractTrainSetByNGram.py: -------------------------------------------------------------------------------- 1 | import openpyxl 2 | import config 3 | configs = config.configs 4 | 5 | readBook = openpyxl.load_workbook(configs['extractFeaturesPath']) 6 | # 获取当前正在显示的sheet 7 | readSheet = readBook.active 8 | 9 | BGFile = open('/Users/ming.zhou/NLP/datasets/ngram/BGFile.txt', 'a') 10 | PTFile = open('/Users/ming.zhou/NLP/datasets/ngram/PTFile.txt', 'a') 11 | TSTFile = open('/Users/ming.zhou/NLP/datasets/ngram/TSTFile.txt', 'a') 12 | RSFile = open('/Users/ming.zhou/NLP/datasets/ngram/RSFile.txt', 'a') 13 | REXPFile = open('/Users/ming.zhou/NLP/datasets/ngram/REXPFile.txt', 'a') 14 | EGFile = open('/Users/ming.zhou/NLP/datasets/ngram/EGFile.txt', 'a') 15 | EEXPFile = open('/Users/ming.zhou/NLP/datasets/ngram/EEXPFile.txt', 'a') 16 | GRLFile = open('/Users/ming.zhou/NLP/datasets/ngram/GRLFile.txt', 'a') 17 | ADMFile = open('/Users/ming.zhou/NLP/datasets/ngram/ADMFile.txt', 'a') 18 | RTTFile = open('/Users/ming.zhou/NLP/datasets/ngram/RTTFile.txt', 'a') 19 | SRSFile = open('/Users/ming.zhou/NLP/datasets/ngram/SRSFile.txt', 'a') 20 | RAFMFile = open('/Users/ming.zhou/NLP/datasets/ngram/RAFMFile.txt', 'a') 21 | IRLFile = open('/Users/ming.zhou/NLP/datasets/ngram/IRLFile.txt', 'a') 22 | 23 | BGContent = [] 24 | PTContent = [] 25 | TSTContent = [] 26 | RSContent = [] 27 | REXPContent = [] 28 | EGContent = [] 29 | EEXPContent = [] 30 | GRLContent = [] 31 | ADMContent = [] 32 | RTTContent = [] 33 | SRSContent = [] 34 | RAFMContent = [] 35 | IRLContent = [] 36 | 37 | putSentenceByTag = { 38 | 1 : lambda x: BGContent.append(x) , 39 | 2: lambda x: PTContent.append(x), 40 | 3: lambda x: TSTContent.append(x), 41 | 4: lambda x: RSContent.append(x), 42 | 5: lambda x: REXPContent.append(x), 43 | 6: lambda x: EGContent.append(x), 44 | 7: lambda x: EEXPContent.append(x), 45 | 8: lambda x: GRLContent.append(x), 46 | 9: lambda x: ADMContent.append(x), 47 | 10: lambda x: RTTContent.append(x), 48 | 11: lambda x: SRSContent.append(x), 49 | 12: lambda x: RAFMContent.append(x), 50 | 13: lambda x: IRLContent.append(x) 51 | } 52 | 53 | for i in range(readSheet.max_row - 1): 54 | sentenceTag = readSheet.cell(row = i + 2, column = 5).value 55 | sentence = readSheet.cell(row = i + 2, column = 4).value 56 | putSentenceByTag[sentenceTag](sentence + '\n') 57 | 58 | BGFile.writelines(BGContent) 59 | BGFile.close() 60 | PTFile.writelines(PTContent) 61 | PTFile.close() 62 | TSTFile.writelines(TSTContent) 63 | TSTFile.close() 64 | RSFile.writelines(RSContent) 65 | RSFile.close() 66 | REXPFile.writelines(REXPContent) 67 | REXPFile.close() 68 | EGFile.writelines(EGContent) 69 | EGFile.close() 70 | EEXPFile.writelines(EEXPContent) 71 | EEXPFile.close() 72 | GRLFile.writelines(GRLContent) 73 | GRLFile.close() 74 | ADMFile.writelines(ADMContent) 75 | ADMFile.close() 76 | RTTFile.writelines(RTTContent) 77 | RTTFile.close() 78 | SRSFile.writelines(SRSContent) 79 | SRSFile.close() 80 | RAFMFile.writelines(RAFMContent) 81 | RAFMFile.close() 82 | IRLFile.writelines(IRLContent) 83 | IRLFile.close() -------------------------------------------------------------------------------- /SRILM/IntegrateFeature.py: -------------------------------------------------------------------------------- 1 | import openpyxl 2 | import config 3 | configs = config.configs 4 | 5 | writeBook = openpyxl.load_workbook(configs['extractFeaturesPath']) 6 | writeSheet = writeBook.active 7 | 8 | writeTestBook = openpyxl.load_workbook(configs['extractTestFeaturesPath']) 9 | writeTestSheet = writeTestBook.active 10 | 11 | import re 12 | def integrateNGramFeature(): 13 | 14 | # BGResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/BGResult') 15 | # PTResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/PTResult') 16 | # REXPResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/REXPResult') 17 | # EGResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/EGResult') 18 | # EEXPResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/EEXPResult') 19 | # ADMResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/ADMResult') 20 | # RTTResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/RTTResult') 21 | # SRSResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/SRSResult') 22 | # RAFMResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/RAFMResult') 23 | # TestBGResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/TestBGResult') 24 | # TestPTResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/TestPTResult') 25 | # TestREXPResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/TestREXPResult') 26 | # TestEGResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/TestEGResult') 27 | # TestEEXPResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/TestEEXPResult') 28 | # TestADMResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/TestADMResult') 29 | # TestRTTResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/TestRTTResult') 30 | # TestSRSResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/TestSRSResult') 31 | TestRAFMResultFile = open('/Users/ming.zhou/NLP/datasets/ngram/modal/TestRAFMResult') 32 | 33 | i = 2 34 | for line in TestRAFMResultFile: 35 | result = re.findall('ppl=.*? ppl', line) 36 | if result: 37 | writeTestSheet['V' + str(i)] = re.split('=', result[0])[1].strip().split(' ')[0] 38 | i += 1 39 | # if 'zeroprobs' in line and 'logprob=' in line and 'ppl=' in line and 'ppl1=' in line: 40 | # print(line) 41 | writeTestBook.save(configs['extractTestFeaturesPath']) 42 | 43 | def integrateSentenceTagFeature(): 44 | nowEssayId = 0 45 | beforeEssayId = 0 46 | for i in range(writeSheet.max_row - 1): 47 | nowEssayId = writeSheet['A' + str(i + 2)].value.strip().split('-')[0] 48 | isNewEssay = nowEssayId != beforeEssayId 49 | 50 | if isNewEssay: 51 | writeSheet['G' + str(i + 2)] = 0 #设置当前句的BeforeSentenceTag为0 52 | if i > 0: 53 | writeSheet['H' + str(i + 1)] = 0 #设置上一句的AfterSentenceTag为0 54 | writeSheet['H' + str(i + 2)] = writeSheet['E' + str(i + 3)].value * 10 #设置当前句的AfterSentenceTag 55 | else: 56 | writeSheet['G' + str(i + 2)] = writeSheet['E' + str(i + 1)].value * 10 #设置当前句的BeforeSentenceTag 57 | if (i + 2) == writeSheet.max_row: 58 | writeSheet['H' + str(i + 2)] = 0 59 | else: 60 | writeSheet['H' + str(i + 2)] = writeSheet['E' + str(i + 3)].value * 10 #设置当前句的AfterSentenceTag 61 | 62 | beforeEssayId = writeSheet['A' + str(i + 2)].value.strip().split('-')[0] 63 | writeBook.save(configs['extractFeaturesPath']) 64 | 65 | def integrateParaTagFeature(): 66 | for i in range(writeSheet.max_row - 1): 67 | paraType = writeSheet['B' + str(i + 2)].value 68 | writeSheet['F' + str(i + 2)] = configs['paraType'][paraType] 69 | writeBook.save(configs['extractFeaturesPath']) 70 | 71 | def integratePunctuationFeature(): 72 | for i in range(writeTestSheet.max_row - 1): 73 | punctuation = writeTestSheet['J' + str(i + 2)].value 74 | tag = 0 75 | if punctuation in configs['punctuation']: 76 | tag = configs['punctuation'][punctuation] 77 | writeTestSheet['J' + str(i + 2)] = tag 78 | print('index[', i + 2, ']', punctuation, ',tag=', tag) 79 | 80 | writeTestBook.save(configs['extractTestFeaturesPath']) 81 | 82 | integrateNGramFeature() -------------------------------------------------------------------------------- /SRILM/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhouM1118/NLPForDiscourseStructures/37d86f732949f917a14741e4aec04574898d79f6/SRILM/__init__.py -------------------------------------------------------------------------------- /Train/DecisionTree.py: -------------------------------------------------------------------------------- 1 | import openpyxl 2 | import config 3 | import math 4 | from sklearn.ensemble import RandomForestClassifier 5 | from sklearn.ensemble import ExtraTreesClassifier 6 | from sklearn.tree import DecisionTreeClassifier 7 | from sklearn.metrics import accuracy_score 8 | # from sklearn.cross_validation import cross_val_score 9 | from sklearn.metrics import hamming_loss 10 | from datetime import datetime 11 | 12 | configs = config.configs 13 | 14 | # 记录程序开始执行时间 15 | start = datetime.now() 16 | 17 | # readBook = openpyxl.load_workbook(configs['extractFeaturesPath']) 18 | readBook = openpyxl.load_workbook(configs['extractFeaturesPath']) 19 | readSheet = readBook.active 20 | 21 | readTestBook = openpyxl.load_workbook(configs['extractTestFeaturesPath']) 22 | readTestSheet = readTestBook.active 23 | 24 | # 获取训练集的句子特征向量以及句子标签 25 | def getFeatureVectorAndTag(): 26 | featureVectorList = [] 27 | sentenceTag = [] 28 | for i in range(readSheet.max_row - 1): 29 | 30 | featureVector = [] 31 | sentenceTag.append(readSheet['E' + str(i + 2)].value) 32 | # 先添加段落特征 33 | featureVector.append(float(readSheet['A' + str(i + 2)].value.strip().split('-')[1])) 34 | for j in range(readSheet.max_column - 5): 35 | if isinstance(readSheet.cell(row = i + 2, column = j + 6).value, str): 36 | featureVector.append(float(readSheet.cell(row=i + 2, column=j + 6).value)) 37 | else: 38 | featureVector.append(readSheet.cell(row = i + 2, column = j + 6).value) 39 | featureVectorList.append(featureVector) 40 | return featureVectorList, sentenceTag 41 | 42 | # 获取测试集的句子特征向量以及句子标签 43 | def getTestFeatureVectorAndTag(): 44 | featureVectorList = [] 45 | sentenceTag = [] 46 | for i in range(readTestSheet.max_row - 1): 47 | 48 | featureVector = [] 49 | sentenceTag.append(readTestSheet['E' + str(i + 2)].value) 50 | # 先添加段落特征 51 | featureVector.append(float(readTestSheet['A' + str(i + 2)].value.strip().split('-')[1])) 52 | for j in range(readTestSheet.max_column - 5): 53 | if isinstance(readTestSheet.cell(row = i + 2, column = j + 6).value, str): 54 | featureVector.append(float(readTestSheet.cell(row=i + 2, column=j + 6).value)) 55 | else: 56 | featureVector.append(readTestSheet.cell(row = i + 2, column = j + 6).value) 57 | featureVectorList.append(featureVector) 58 | return featureVectorList, sentenceTag 59 | 60 | def normalizeFeatureBySigmoid(featureVector): 61 | normalizeFeatureVector = [] 62 | for feature in featureVector: 63 | normalizeFeatureVector.append(1.0 / (1 + math.exp(-float(feature)))) 64 | return normalizeFeatureVector 65 | 66 | def normalizeFeatureByMaxMin(featureVector): 67 | normalizeFeatureVector = [] 68 | maxNum = max(featureVector) 69 | minNum = min(featureVector) 70 | for feature in featureVector: 71 | normalizeFeatureVector.append((feature - minNum) / (maxNum - minNum)) 72 | return normalizeFeatureVector 73 | 74 | # 训练并测试训练集的准确度 75 | def doTrain(X, Y): 76 | clf = RandomForestClassifier(n_estimators=10) # 0.99710982659 77 | clf.fit(X, Y) 78 | # clf = clf.fit(X, Y) 79 | 80 | Y_pred = clf.predict(X) 81 | print(accuracy_score(Y, Y_pred)) 82 | print(Y) 83 | print(Y_pred) 84 | print('Y len is ', len(Y),'Y_pred len is ', len(Y_pred)) 85 | # scores = cross_val_score(clf, X, Y) 86 | # print(scores.mean()) 87 | 88 | compare = {} 89 | j = 0 90 | for i in range(len(Y)): 91 | if Y[i] == 5: 92 | j += 1 93 | YAndYpred = str(Y[i]) + '-' + str(Y_pred[i]) 94 | # print(YAndYpred) 95 | if(Y[i] != Y_pred[i]): 96 | if YAndYpred not in compare: 97 | compare[YAndYpred] = 1 98 | else: 99 | compare[YAndYpred] = compare[YAndYpred] + 1 100 | 101 | print(sorted(compare.items(), key=lambda d: -d[1])) 102 | 103 | # 测试测试集的准确度 104 | def doTrainByTestSet(train_X, train_Y, test_X, test_Y, flag='RandomForest'): 105 | 106 | clf = RandomForestClassifier(n_estimators=10) 107 | filePath = '/Users/ming.zhou/NLP/DiscourseStructures/result/' + flag + 'Result.text' 108 | 109 | if flag == 'ExtraTrees': 110 | clf = ExtraTreesClassifier(n_estimators=10) 111 | elif flag == 'DecisionTree': 112 | clf = DecisionTreeClassifier() 113 | 114 | clf.fit(train_X, train_Y) 115 | Y_pred = clf.predict(test_X) 116 | 117 | result = open(filePath, 'a') 118 | resultContent = [] 119 | resultContent.append(str(clf.score(test_X, test_Y)) + '\n') 120 | resultContent.append('test_Y:' + '\n') 121 | resultContent.append(str(test_Y) + '\n') 122 | resultContent.append('Y_pred:' + '\n') 123 | resultContent.append(str(Y_pred) + '\n') 124 | resultContent.append('test_Y len is ' + str(len(test_Y)) + 'Y_pred len is ' + str(len(Y_pred)) + '\n') 125 | 126 | print(clf.score(test_X, test_Y)) 127 | print(accuracy_score(test_Y, Y_pred)) 128 | print(test_Y) 129 | print(Y_pred) 130 | print('test_Y len is ', len(test_Y),'Y_pred len is ', len(Y_pred)) 131 | 132 | compare = {} 133 | j = 0 134 | for i in range(len(test_Y)): 135 | YAndYpred = str(test_Y[i]) + '-' + str(Y_pred[i]) 136 | # print(YAndYpred) 137 | if(test_Y[i] != Y_pred[i]): 138 | if YAndYpred not in compare: 139 | compare[YAndYpred] = 1 140 | else: 141 | compare[YAndYpred] = compare[YAndYpred] + 1 142 | 143 | sortedResult = sorted(compare.items(), key=lambda d: -d[1]) 144 | 145 | resultContent.append(str(sortedResult)) 146 | print(sortedResult) 147 | result.writelines(resultContent) 148 | result.close() 149 | 150 | params = getFeatureVectorAndTag() 151 | testParams = getTestFeatureVectorAndTag() 152 | # doTrain(params[0], params[1]) 153 | doTrainByTestSet(params[0], params[1], testParams[0], testParams[1], 'ExtraTrees') 154 | 155 | # 计算程序运行总时间(秒) 156 | elapsed = (datetime.now() - start).seconds 157 | print('Time used : ', elapsed) -------------------------------------------------------------------------------- /Train/SVM.py: -------------------------------------------------------------------------------- 1 | import openpyxl 2 | import config 3 | import math 4 | from sklearn import svm 5 | from sklearn.metrics import accuracy_score 6 | from sklearn.metrics import hamming_loss 7 | from datetime import datetime 8 | 9 | configs = config.configs 10 | 11 | # 记录程序开始执行时间 12 | start = datetime.now() 13 | 14 | # readBook = openpyxl.load_workbook(configs['extractFeaturesPath']) 15 | readBook = openpyxl.load_workbook(configs['extractFeaturesPath']) 16 | readSheet = readBook.active 17 | 18 | readTestBook = openpyxl.load_workbook(configs['extractTestFeaturesPath']) 19 | readTestSheet = readTestBook.active 20 | 21 | def getFeatureVector(): 22 | featureVectorList = [] 23 | sentenceTag = [] 24 | for i in range(readSheet.max_row - 1): 25 | 26 | featureVector = [] 27 | sentenceTag.append(readSheet['E' + str(i + 2)].value) 28 | # 先添加段落特征 29 | featureVector.append(float(readSheet['A' + str(i + 2)].value.strip().split('-')[1])) 30 | for j in range(readSheet.max_column - 5): 31 | if isinstance(readSheet.cell(row = i + 2, column = j + 6).value, str): 32 | featureVector.append(float(readSheet.cell(row=i + 2, column=j + 6).value)) 33 | else: 34 | featureVector.append(readSheet.cell(row = i + 2, column = j + 6).value) 35 | featureVectorList.append(normalizeFeatureByMaxMin(featureVector)) 36 | return featureVectorList, sentenceTag 37 | 38 | # (0,1)标准化 0.389671361502 39 | # ('4-5', 21), ('1-5', 15), ('12-5', 15), ('10-5', 12), ('11-5', 11), ('9-5', 9), 40 | # ('5-6', 7), ('6-5', 7), ('7-5', 5), ('2-5', 5), ('6-1', 5), ('5-1', 4), ('2-6', 3), 41 | # ('7-6', 2) 42 | def getTestFeatureVector(): 43 | featureVectorList = [] 44 | sentenceTag = [] 45 | for i in range(readTestSheet.max_row - 1): 46 | 47 | featureVector = [] 48 | sentenceTag.append(readTestSheet['E' + str(i + 2)].value) 49 | # 先添加段落特征 50 | featureVector.append(float(readTestSheet['A' + str(i + 2)].value.strip().split('-')[1])) 51 | for j in range(readTestSheet.max_column - 5): 52 | if isinstance(readTestSheet.cell(row = i + 2, column = j + 6).value, str): 53 | featureVector.append(float(readTestSheet.cell(row=i + 2, column=j + 6).value)) 54 | else: 55 | featureVector.append(readTestSheet.cell(row = i + 2, column = j + 6).value) 56 | featureVectorList.append(normalizeFeatureByMaxMin(featureVector)) 57 | return featureVectorList, sentenceTag 58 | 59 | # 归一化处理，使用sigmoid函数 60 | # 2017.11.10 准确率 0.205202312139 61 | # sigmoid函数做归一主要是把两边的一些噪声数据拉回来，不要让噪声数据影响模型效果， 62 | # 而我们是自己提取的特征，已经经过了预处理，没有很多噪声数据 63 | # 这就是在这种情况下使用sigmoid函数准确率低的原因 64 | # ('6-5', 195), ('1-5', 108), ('4-5', 95), ('10-5', 74), ('12-5', 68), ('7-5', 66), 65 | # ('13-5', 60), ('9-5', 51), ('2-5', 45), ('11-5', 44), ('3-5', 17), ('8-5', 2) 66 | def normalizeFeatureBySigmoid(featureVector): 67 | normalizeFeatureVector = [] 68 | for feature in featureVector: 69 | normalizeFeatureVector.append(1.0 / (1 + math.exp(-float(feature)))) 70 | return normalizeFeatureVector 71 | 72 | # 归一化处理，使用(0,1)标准化 73 | # 2017.11.10 准确率 0.401734104046->0.413294797688 74 | # ('1-5', 90), ('4-5', 88), ('10-5', 67), ('12-5', 65), ('7-5', 52), ('9-5', 49), 75 | # ('11-5', 41), ('2-5', 40), ('13-6', 34), ('13-5', 25), ('7-6', 11), ('3-5', 10), 76 | # ('4-6', 6), ('10-6', 6), ('1-6', 6), ('3-6', 5), ('5-6', 3), ('12-6', 3), ('7-1', 3), 77 | # ('2-6', 3), ('9-6', 2), ('3-1', 2), ('8-5', 2), ('11-6', 2), ('2-1', 2), ('13-1', 1), 78 | # ('4-1', 1), ('10-1', 1), ('11-1', 1) 79 | def normalizeFeatureByMaxMin(featureVector): 80 | normalizeFeatureVector = [] 81 | maxNum = max(featureVector) 82 | minNum = min(featureVector) 83 | for feature in featureVector: 84 | normalizeFeatureVector.append((feature - minNum) / (maxNum - minNum)) 85 | return normalizeFeatureVector 86 | 87 | # 训练并测试训练集的准确度 88 | def doTrain(X, Y): 89 | clf = svm.SVC() 90 | clf.fit(X, Y) 91 | 92 | Y_pred = clf.predict(X) 93 | print(accuracy_score(Y, Y_pred)) 94 | print(Y) 95 | print(Y_pred) 96 | print('Y len is ', len(Y),'Y_pred len is ', len(Y_pred)) 97 | 98 | compare = {} 99 | j = 0 100 | for i in range(len(Y)): 101 | if Y[i] == 5: 102 | j += 1 103 | YAndYpred = str(Y[i]) + '-' + str(Y_pred[i]) 104 | # print(YAndYpred) 105 | if(Y[i] != Y_pred[i]): 106 | if YAndYpred not in compare: 107 | compare[YAndYpred] = 1 108 | else: 109 | compare[YAndYpred] = compare[YAndYpred] + 1 110 | 111 | print(sorted(compare.items(), key=lambda d: -d[1])) 112 | 113 | # 测试测试集集的准确度 114 | def doTrainByTestSet(train_X, train_Y, test_X, test_Y): 115 | clf = svm.SVC() 116 | clf.fit(train_X, train_Y) 117 | 118 | Y_pred = clf.predict(test_X) 119 | print(accuracy_score(test_Y, Y_pred)) 120 | print(test_Y) 121 | print(Y_pred) 122 | print('test_Y len is ', len(test_Y),'Y_pred len is ', len(Y_pred)) 123 | 124 | compare = {} 125 | j = 0 126 | for i in range(len(test_Y)): 127 | YAndYpred = str(test_Y[i]) + '-' + str(Y_pred[i]) 128 | # print(YAndYpred) 129 | if(test_Y[i] != Y_pred[i]): 130 | if YAndYpred not in compare: 131 | compare[YAndYpred] = 1 132 | else: 133 | compare[YAndYpred] = compare[YAndYpred] + 1 134 | 135 | print(sorted(compare.items(), key=lambda d: -d[1])) 136 | 137 | params = getFeatureVector() 138 | testParams = getTestFeatureVector() 139 | # doTrain(params[0], params[1]) 140 | doTrainByTestSet(params[0], params[1], testParams[0], testParams[1]) 141 | 142 | # 计算程序运行总时间(秒) 143 | elapsed = (datetime.now() - start).seconds 144 | print('Time used : ', elapsed) -------------------------------------------------------------------------------- /Train/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhouM1118/NLPForDiscourseStructures/37d86f732949f917a14741e4aec04574898d79f6/Train/__init__.py -------------------------------------------------------------------------------- /Train/test1.py: -------------------------------------------------------------------------------- 1 | from sklearn import svm 2 | 3 | X = [[0, 0], [1, 1], [4, 4], [6, 6], [10, 10]] 4 | Y = [0, 0, 0, 1, 1] 5 | clf = svm.SVC() 6 | clf.fit(X, Y) 7 | print(clf.predict([[5.5, 5]])) 8 | # print(clf.support_vectors_) 9 | # print(clf.support_) 10 | # print(clf.n_support_) -------------------------------------------------------------------------------- /__pycache__/config.cpython-35.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhouM1118/NLPForDiscourseStructures/37d86f732949f917a14741e4aec04574898d79f6/__pycache__/config.cpython-35.pyc -------------------------------------------------------------------------------- /config.py: -------------------------------------------------------------------------------- 1 | configs = { 2 | 'featuresPath' : '/Users/ming.zhou/NLP/datasets/Features.xlsx', 3 | 'condensedFeaturesPath' : '/Users/ming.zhou/NLP/datasets/condensedFeatures.xlsx', 4 | 'testFeaturesPath' : '/Users/ming.zhou/NLP/datasets/TestFeatures.xlsx', 5 | 'test2Path' : '/Users/ming.zhou/NLP/datasets/test2.xlsx', 6 | 'test3Path' : '/Users/ming.zhou/NLP/datasets/test3.xlsx', 7 | 'test4Path' : '/Users/ming.zhou/NLP/datasets/test4.xlsx', 8 | 'test5Path' : '/Users/ming.zhou/NLP/datasets/test5.xlsx', 9 | 'new_scores_path' : '/Users/ming.zhou/NLP/datasets/new_scores.xlsx', 10 | 'test_last_20_add30_Path' : '/Users/ming.zhou/NLP/datasets/test_last_20_add30.xlsx', 11 | 'test_last_20_add40_Path' : '/Users/ming.zhou/NLP/datasets/test_last_20_add40.xlsx', 12 | 'test_last_20_add20_Path' : '/Users/ming.zhou/NLP/datasets/test_last_20_add20.xlsx', 13 | 'test_last_20_allFeatures_Path' : '/Users/ming.zhou/NLP/datasets/test_last_20_allFeatures.xlsx', 14 | 'condensedTestFeaturesPath' : '/Users/ming.zhou/NLP/datasets/condensedTestFeatures.xlsx', 15 | 'dataSetPath' : '/Users/ming.zhou/NLP/datasets/AW_MLParaData_1_62.xlsx', 16 | 'data2SetPath' : '/Users/ming.zhou/NLP/datasets/AW_MLParaData_2_60.xlsx', 17 | 'dataset_newScore_122_path' : '/Users/ming.zhou/NLP/datasets/AW_MLParaData_newScore_122.xlsx', 18 | 'allFeaturesPath' : '/Users/ming.zhou/NLP/datasets/allFeatures.xlsx', 19 | 'allFeatures_add20_Path' : '/Users/ming.zhou/NLP/datasets/allFeatures_add20.xlsx', 20 | 'allFeatures_add30_Path' : '/Users/ming.zhou/NLP/datasets/allFeatures_add30.xlsx', 21 | 'allFeatures_add40_Path' : '/Users/ming.zhou/NLP/datasets/allFeatures_add40.xlsx', 22 | 'allFeatures_add60_Path' : '/Users/ming.zhou/NLP/datasets/Regressor/allFeatures_add60.xlsx', 23 | 'Tags' : { 24 | '' : 1, 25 | '' : 2, 26 | '' : 3, 27 | '' : 4, 28 | '': 5, 29 | '': 6, 30 | '': 7, 31 | '': 8, 32 | '': 9, 33 | '': 10, 34 | '': 11, 35 | '': 12, 36 | '': 13 37 | }, 38 | 'stanfordParserPath' : '/Users/ming.zhou/NLP/Tools/stanford-parser/stanford-parser-full-2017-06-09/stanford-parser.jar', 39 | 'stanfordParserModelsPath' : '/Users/ming.zhou/NLP/Tools/stanford-parser/stanford-parser-full-2017-06-09/stanford-parser-3.8.0-models.jar', 40 | 'nltkDataPath' : '/Users/ming.zhou/NLP/Tools/nltk/nltk_data', 41 | 'tense' : { 42 | 'VB' : 1, 43 | 'VBZ' : 1, 44 | 'VBP' : 1, 45 | 'VBG' : 1, 46 | 'VBN' : 2, 47 | 'VBD' : 2 48 | }, 49 | 'indicators' : ('accordingly', 'additionally', 'after', 'afterward', 'also', 'alternatively', 50 | 'alternative', 'although', 'as a result', 'as an alternative', 'as if', 'as long as', 51 | 'as soon as', 'as though', 'as well', 'because', 'before', 'before and after', 52 | 'besides', 'by comparison', 'but', 'by contrast', 'by then', 'consequently', 53 | 'conversely', 'earlier', 'either', 'except', 'finally', 'for example', 'for instance', 54 | 'further', 'furthermore','hence', 'however', 'if', 'if and when', 'in addition', 55 | 'in contrast', 'in fact', 'in other words', 'in particular', 'in short', 'in sum', 56 | 'in the end', 'in turn', 'indeed', 'insofar as', 'instead', 'later', 'lest', 57 | 'likewise', 'meantime', 'meanwhile', 'moreover', 'much as', 'neither', 58 | 'nevertheless', 'now that', 'next', 'nonetheless', 'nor', 'on the contrary', 'on the one hand', 59 | 'on the other hand', 'once', 'otherwise', 'overall', 'plus', 'previously', 'rather', 'regardless', 60 | 'separately', 'similarly', 'simultaneously', 'since', 'so that', 'specifically', 61 | 'still', 'then', 'thereafter', 'thereby', 'therefore', 'though', 'thus', 62 | 'till', 'ultimately', 'unless', 'until', 'when', 'when and if', 'whereas', 'while', 63 | 'yet', 'father', 'mother', 'parents', 'above', 'conclusion', 'agree', 'admittedly'), 64 | 'condensedIndicators' : ('accordingly', 'after', 'also', 65 | 'although', 'as a result', 'as if', 'as long as', 66 | 'as soon as','as well', 'because', 'before', 67 | 'besides', 'but', 'consequently', 68 | 'except', 'finally', 'for example', 'for instance', 69 | 'further', 'furthermore','hence', 'however', 'if', 'in addition', 70 | 'in fact', 'in other words', 'in short', 'in sum', 71 | 'in the end', 'indeed', 'instead', 'later', 72 | 'meanwhile', 'moreover', 73 | 'nevertheless', 'next', 'nor', 'on the contrary', 'on the one hand', 74 | 'on the other hand', 'once', 'rather', 75 | 'separately', 'since', 'so that', 76 | 'still', 'then', 'thereafter', 'therefore', 'though', 'thus', 77 | 'till', 'unless', 'until', 'when', 'whereas', 'while', 'father', 'mother', 78 | 'parents', 'above', 'conclusion', 'agree', 'admittedly'), 79 | 'punctuation' : { 80 | '.' : 1, 81 | '?' : 2, 82 | '!' : 3 83 | }, 84 | 'paraType' : { 85 | 'Introduction' : 50, 86 | 'Reason' : 100, 87 | 'Concession' : 150, 88 | 'Conclusion' : 200 89 | } 90 | } 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-------------------------------------------------------------------------------- /model/20171110/modal/GRLTrain.txt.count: -------------------------------------------------------------------------------- 1 | 2 2 | Cases 1 3 | Cases like 1 4 | Friends 1 5 | Friends are 1 6 | 2 7 | Cases 1 8 | Cases like 1 9 | Cases like my 1 10 | like 1 11 | like my 1 12 | like my family's 1 13 | my 1 14 | my family's 1 15 | my family's are 1 16 | family's 1 17 | family's are 1 18 | family's are many, 1 19 | are 2 20 | are many, 1 21 | are many, your 1 22 | are always 1 23 | are always supportive 1 24 | many, 1 25 | many, your 1 26 | many, your friend 1 27 | your 1 28 | your friend 1 29 | your friend would 1 30 | friend 1 31 | friend would 1 32 | friend would feel 1 33 | would 1 34 | would feel 1 35 | would feel grateful 1 36 | feel 1 37 | feel grateful 1 38 | feel grateful if 1 39 | grateful 1 40 | grateful if 1 41 | grateful if you 1 42 | if 1 43 | if you 1 44 | if you help 1 45 | you 1 46 | you help 1 47 | you help them 1 48 | help 1 49 | help them 1 50 | help them in 1 51 | them 1 52 | them in 1 53 | them in time. 1 54 | in 1 55 | in time. 1 56 | in time. 1 57 | time. 1 58 | time. 1 59 | Friends 1 60 | Friends are 1 61 | Friends are always 1 62 | always 1 63 | always supportive 1 64 | always supportive of 1 65 | supportive 1 66 | supportive of 1 67 | supportive of each 1 68 | of 1 69 | of each 1 70 | of each other 1 71 | each 1 72 | each other 1 73 | each other which 1 74 | other 1 75 | other which 1 76 | other which is 1 77 | which 1 78 | which is 1 79 | which is supposed 1 80 | is 1 81 | is supposed 1 82 | is supposed to 1 83 | supposed 1 84 | supposed to 1 85 | supposed to be. 1 86 | to 1 87 | to be. 1 88 | to be. 1 89 | be. 1 90 | be. 1 91 | -------------------------------------------------------------------------------- /model/20171110/modal/TSTTrain.txt.count: -------------------------------------------------------------------------------- 1 | 17 2 | My 4 3 | My reasons 2 4 | My viewpoint 1 5 | My view 1 6 | and 1 7 | and this 1 8 | There 3 9 | There are 3 10 | I'm 2 11 | I'm going 2 12 | The 1 13 | The reasons 1 14 | I 2 15 | I will 2 16 | Here 2 17 | Here are 2 18 | What 1 19 | What about 1 20 | there 1 21 | there are 1 22 | this 1 23 | this essay 1 24 | this essay will 1 25 | essay 1 26 | essay will 1 27 | essay will develop 1 28 | 17 29 | will 3 30 | will develop 1 31 | will develop in 1 32 | will illustrate 1 33 | will illustrate my 1 34 | will give 1 35 | will give you 1 36 | develop 1 37 | develop in 1 38 | develop in two 1 39 | My 4 40 | My reasons 2 41 | My reasons and 2 42 | My viewpoint 1 43 | My viewpoint can 1 44 | My view 1 45 | My view point 1 46 | reasons 9 47 | reasons and 7 48 | reasons and examples 6 49 | reasons and examples. 1 50 | reasons to 1 51 | reasons to name. 1 52 | reasons are 1 53 | reasons are as 1 54 | two 2 55 | two parts 1 56 | two parts to 1 57 | two typical 1 58 | two typical cases 1 59 | and 8 60 | and examples 6 61 | and examples are 2 62 | and examples given 1 63 | and examples to 3 64 | and this 1 65 | and this essay 1 66 | and examples. 1 67 | and examples. 1 68 | parts 1 69 | parts to 1 70 | parts to prove 1 71 | examples 6 72 | examples are 2 73 | examples are given 1 74 | examples are as 1 75 | examples given 1 76 | examples given below 1 77 | examples to 3 78 | examples to illustrate 3 79 | prove 2 80 | prove my 1 81 | prove my views. 1 82 | prove the 1 83 | prove the validity 1 84 | are 9 85 | are given 1 86 | are given below. 1 87 | are some 6 88 | are some reasons 5 89 | are some reasons. 1 90 | are as 2 91 | are as followed. 1 92 | are as follows. 1 93 | views. 1 94 | views. 1 95 | given 2 96 | given below. 1 97 | given below. 1 98 | given below 1 99 | given below to 1 100 | reasons. 3 101 | reasons. 3 102 | below. 1 103 | below. 1 104 | viewpoint 1 105 | viewpoint can 1 106 | viewpoint can be 1 107 | can 1 108 | can be 1 109 | can be well 1 110 | There 3 111 | There are 3 112 | There are some 3 113 | some 6 114 | some reasons 5 115 | some reasons and 4 116 | some reasons to 1 117 | some reasons. 1 118 | some reasons. 1 119 | be 1 120 | be well 1 121 | be well illustrated 1 122 | well 1 123 | well illustrated 1 124 | well illustrated by 1 125 | below 1 126 | below to 1 127 | below to illustrate 1 128 | to 9 129 | to prove 2 130 | to prove my 1 131 | to prove the 1 132 | to illustrate 4 133 | to illustrate my 4 134 | to elaborate 1 135 | to elaborate my 1 136 | to name. 1 137 | to name. 1 138 | to present 1 139 | to present two 1 140 | illustrated 1 141 | illustrated by 1 142 | illustrated by the 1 143 | illustrate 5 144 | illustrate my 5 145 | illustrate my viewpoint. 1 146 | illustrate my opinion. 1 147 | illustrate my point 3 148 | by 2 149 | by the 2 150 | by the following 2 151 | my 9 152 | my views. 1 153 | my views. 1 154 | my viewpoint. 2 155 | my viewpoint. 2 156 | my point 4 157 | my point in 1 158 | my point of 3 159 | my opinion. 1 160 | my opinion. 1 161 | my friend. 1 162 | my friend. 1 163 | examples. 1 164 | examples. 1 165 | viewpoint. 2 166 | viewpoint. 2 167 | present 1 168 | present two 1 169 | present two typical 1 170 | I'm 2 171 | I'm going 2 172 | I'm going to 2 173 | typical 1 174 | typical cases 1 175 | typical cases to 1 176 | going 2 177 | going to 2 178 | going to elaborate 1 179 | going to present 1 180 | cases 1 181 | cases to 1 182 | cases to prove 1 183 | elaborate 1 184 | elaborate my 1 185 | elaborate my point 1 186 | validity 1 187 | validity of 1 188 | validity of my 1 189 | point 5 190 | point in 1 191 | point in the 1 192 | point of 3 193 | point of view. 2 194 | point of view 1 195 | point is 1 196 | point is based 1 197 | The 1 198 | The reasons 1 199 | The reasons are 1 200 | follows. 1 201 | follows. 1 202 | in 2 203 | in the 1 204 | in the following 1 205 | in two 1 206 | in two parts 1 207 | the 6 208 | the following 4 209 | the following paragraphs. 1 210 | the following reasons 1 211 | the following reasons. 2 212 | the other 1 213 | the other reasons? 1 214 | the validity 1 215 | the validity of 1 216 | I 2 217 | I will 2 218 | I will illustrate 1 219 | I will give 1 220 | view 2 221 | view by 1 222 | view by the 1 223 | view point 1 224 | view point is 1 225 | following 4 226 | following paragraphs. 1 227 | following paragraphs. 1 228 | following reasons 1 229 | following reasons and 1 230 | following reasons. 2 231 | following reasons. 2 232 | paragraphs. 1 233 | paragraphs. 1 234 | give 1 235 | give you 1 236 | give you an 1 237 | Here 2 238 | Here are 2 239 | Here are some 2 240 | you 1 241 | you an 1 242 | you an example 1 243 | name. 1 244 | name. 1 245 | an 1 246 | an example 1 247 | an example of 1 248 | opinion. 1 249 | opinion. 1 250 | example 1 251 | example of 1 252 | example of my 1 253 | What 1 254 | What about 1 255 | What about the 1 256 | friend. 1 257 | friend. 1 258 | about 1 259 | about the 1 260 | about the other 1 261 | there 1 262 | there are 1 263 | there are some 1 264 | is 1 265 | is based 1 266 | is based on 1 267 | other 1 268 | other reasons? 1 269 | other reasons? 1 270 | reasons? 1 271 | reasons? 1 272 | based 1 273 | based on 1 274 | based on the 1 275 | on 1 276 | on the 1 277 | on the following 1 278 | of 5 279 | of view. 2 280 | of view. 2 281 | of my 2 282 | of my viewpoint. 1 283 | of my friend. 1 284 | of view 1 285 | of view by 1 286 | view. 2 287 | view. 2 288 | as 2 289 | as followed. 1 290 | as followed. 1 291 | as follows. 1 292 | as follows. 1 293 | followed. 1 294 | followed. 1 295 | -------------------------------------------------------------------------------- /model/20171110/test/BGTest.txt: -------------------------------------------------------------------------------- 1 | In most cases, borrowing money from others is an injury to our relationship. 2 | However, is it still right under the condition that the man who ask you for money is your friend? 3 | This question triggers an interesting debate. 4 | Friendship is an indispensable part of our life, a profound friendship is the fruit of long term of hard-working. 5 | Within the context of modern society , the issue of money arouses nationwide argument. 6 | It may leave others a bad impression when the issue of some affairs comes to money . 7 | There are always some occasions we need money without having enough cashes at hand. 8 | Do you agree or disagree with the following statement: It is sometimes said that borrowing money from a friend can harm or damage the friendship. 9 | Use specific reasons and examples to support your answer. 10 | aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa 11 | aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa 12 | -------------------------------------------------------------------------------- /model/20171110/train/ADMFile.txt: -------------------------------------------------------------------------------- 1 | Admittedly, because of the greed of our mind, some of your friend may not return the money back. 2 | Somebody thinks that borrowing money will harm the friendship between friends,this may because they take the money as a very sensitive thing,so the relationship referring to money is fragile. 3 | Admittedly, the contact between returning money and borrowing money can enhance friendship. 4 | Admittedly, I am not denying that borrowing money from friends or lending money to friends lead to no problem at all. 5 | It is possible that a friend can borrow money from us without paying back and, under this condition, fellowship might be shaken. 6 | Admittedly, to borrow money means you have to pay it up. 7 | There are a great deal of misunderstandings created by forgetting to return it. 8 | Some critics might oppose the opinion since friends should always give a hand to each other. 9 | Some people think borrowing money from friends may be harmful to friendship because it will relate to money disputes. 10 | Some people may consider that borrowing money from you friends would hurt friendships, because their relationship would break up if their friends refuse to give the money back. 11 | There are also some people may claim that borrowing money will trample the friendship, for some friends always forget to repay, or lending money will creat crevice and suspicion. 12 | Somebody may think that borrowing money may not influence the friendship because making money is for helpping each other. 13 | Although, someone may argue that borrowing money won't do any harm to friendship, for the friendship is valuable. 14 | Somebody thinks that borrowing money will damage the friendship because one may suspect that you are just contacting with him because of money. 15 | Some say borrowing money is harmful to friendship because they think it is money that sabotages their friendship. 16 | Admittedly, some people believe that borrowing money from friends is harmful to fellowship in order that not paying money back for a long time tend to cause to estrangement. 17 | someone might have the thought of brrowing money from friends won,t affect the friendship,they even think it,s a good way to strengthen their friendship. 18 | Some people say that borrowing money from friends will not affect friendship, for lending money can show one's kind. 19 | Someone believe that borrowing money from friends would harm the friendship, because it will change friends' deposits to influence their life. 20 | Some people think that borrowing money from friends is something destructive to friendship because they think that profit will take the place of friendship. 21 | Some people think borrowing money can harm the friendship because money is related to personal interests directly so that borrowing money would damage others' interests more or less. 22 | Some people may think that borrowing money from friends may be harmful to the friendship because if the firend refuse, both sides will feel very embarrased and uncomfortable. 23 | Someone probably think that borrowing money from our friends is innocuous to friendship since help between friends is conducive to friendship. 24 | Some people argue that borrowing money from friends will do harm to friendship because they believe money is a sensitive region in relationship. 25 | Once you mention money, your friendship decays and it will no longer be the previous pure one. 26 | Also someone may think that can be harmful to friendship. 27 | if friends don't have the ability to repay it, their interests will suffer a lot,leading harm between both themselves and their friends.。 28 | Someone think borrow money from friends is harmful for friendship due to no forever friends but interest. 29 | Someone thinks money is too sensitive to give rise to dispute, which will damage the friendship. 30 | Somebody may think that borrowing money from friends may be injury to fellowship, for the reason that it is a sensitive topic of borrowing money, which will test the friendship and lead to the disintegration of friendship. 31 | Although,sending money to friend have to stand the risk of no returning, 32 | some people hold the view that borrowing money will hurt friendship as they think borrowing money from friends may made them seem like they make friends only for money. 33 | However, some believe that borrowing money from friends would be an injury to their fellowship for longtime no sign of payment would damage friends' confidence and patience and gaps could be easily generated. 34 | Some people think borrowing money can hurt the friendship. 35 | In their opinion, people usually wonder why my friends need to borrow money and if they will pay it back. 36 | Of course, someone will support that borrowing money from friends will not effect the friendship, as friends should help each other. 37 | Some people believe that borrow money from friends will hurt friendship, the reason is some friends wil not give money back to us. 38 | Admittedly, it's much easier to borrow money from friends than from the unfamiliar. 39 | In addition, many friends are ready to offer help. 40 | Someone consider that borrowing money from friends is harmful to the companionship because someone would go back on a person when they are faced with some benifit. 41 | Some people hold the view that borrowing money from friends will harm the friendship, because that may dishonor themselves. 42 | Indeed, although you obey your word, sometimes it is hard to predict things happened. 43 | admittedly,i am not denying that friendship must break up because of money. 44 | cash nexus is also a way for friends to get a hold of each other. 45 | Some people are in favor of the idea that borrowing money from friends will not affect the friendship as they take it for granted that friends should help each other. 46 | I admitted that friendship demands offering help selflessly. 47 | However, there are also some other voices saying that borrowing money from friends will do harm to friendship because if borrowers postpone to pay the money back again and again, it will make both of the friends unhappy. 48 | Someone suggests that borrowing money from friends doesn't harm friendship . 49 | In their mind,material relationship can always be treated rationally. 50 | Although some friends become distant after they borrow money from the other, 51 | Someone believes that borrowing money from friends could harm their friendship, because if their friends don't pay them back then they would lose both their money and their friends. 52 | -------------------------------------------------------------------------------- /model/20171110/train/BGFile.txt: -------------------------------------------------------------------------------- 1 | In most cases, borrowing money from others is an injury to our relationship. 2 | However, is it still right under the condition that the man who ask you for money is your friend? 3 | This question triggers an interesting debate. 4 | Friendship is an indispensable part of our life, a profound friendship is the fruit of long term of hard-working. 5 | Within the context of modern society , the issue of money arouses nationwide argument. 6 | It may leave others a bad impression when the issue of some affairs comes to money . 7 | There are always some occasions we need money without having enough cashes at hand. 8 | In this case, we can choose to borrow money from our friends, relatives, banks, or even unauthentic organizations. 9 | Some people claim that borrowing money from friends will be harmful to the friendship. 10 | Sometimes, we may be low on cash. 11 | In this case, turning to our friends may bring lots of convenience. 12 | But is it a good idea to borrow money from friends? 13 | Does it harm the friendship? 14 | Some people claim that the friendship will be harmed as long as it has something to do with money. 15 | Nowadays, with the advent of the society, the relationship between person become more sophisticated. 16 | As a result, a discussion between whether borrowing money from friends might do harm to the friendship was heatedly debated. 17 | Some people embraced the opinion that it might don't do bad effect on the relationship since friends should help each other. 18 | We always have some time that we need much money, such as buying a house or a getting illness, making us having to borrow money if our prosperity is not enough. 19 | At that time, the first person that comes into our mind is usually our friends. 20 | There is a old quotation in China which says,"A hedge between keeps friendship green". 21 | Somebody thought that friendship must not have relationship with money. 22 | Money, which accompanied by materialism, will be harmful to friendship and make it no more pure, but a interest. 23 | That is to say, friendship should maintain its purify and simplicity as it deserved. 24 | As the saying goes, "A good friend on the way is the shortest cut." 25 | Scarcely can one doubt the significance of friendship, while controversies exist when money interferes - some argue that borrowing money from friends can harm friendship. 26 | To most people, money is icon of profits. 27 | Generally speaking, We should make our best to protect our friends from loss of profits. 28 | However, borrowing money from friends may harm their profits. 29 | A lot of people hold an opinion that borrowing money from friends may be an injury to the friendship. 30 | There are always some difficulties in life and lacking money is one of them. 31 | To solve the problem,we can borrow money from a bank,or a relative,or a friend. 32 | The feasible way is borrowing money from a friend. 33 | The first solution is borrowing money from friends when people in poor economic situation and extremely need money. 34 | Some people claim that borrowing money from friends is an injury to friendship. 35 | Money is a sensitive topic. 36 | People tend to keep away from talking about money. 37 | But it is an inevitable topic. 38 | There is a variety of stuff in our normal life, especially you may be badly in need of money. 39 | In this case, It is unavoidably that we borrow money from our friends. 40 | With this phenomenon comes an interesting discussion, some people advocate that borrowing money from our friends would hurt our friendship. 41 | Nowadays, people may often borrow money from friends when people find their wallet empty, this has become a phenomenon in modern days. 42 | Nowadays, some people think borrowing money from friends can harm or damage the friendship so that they tend to avoid this sensitive issue. 43 | They'd rather keep their mouths shut and suffer alone than ask their friends for help even when they are in urgent need. 44 | Because of the wide social activities and increasing price, borrowing money from friends tends to be more and more common. 45 | Some people may think that borrowing money from friends may damage friendship, 46 | Nowadays, plenty of people like to borrow money from their friends. 47 | Someone may think that borrowing money from friends indicates our trust on our friends, which is not bad. 48 | we all cherish our friends in this material-dominated world. 49 | But it's common for everyone to encounter the valley when you lost your way,especially we need help from our friends. 50 | Borrowing money from friends is a typical thing to test the friendship. 51 | Everyone will face to lack of money sometimes, and friends are always on list of people who are suitable to borrow money. 52 | Imaging a situation that you saw commodity and your friends are shopping together, 53 | As we know, friendship plays an important role in one's life. 54 | Helping each other is an unavoidable topic when geting along with friends, especially interacting on finance. 55 | Some people think financial interaction do no harm on friendship, as long as building a great relationship. 56 | it couldn't be more common for people to suffer being in need of money abruptly. 57 | Most of people will meet variety of people during their whole life. 58 | Some of them were just the passengers of life, the others of them will become the soul mate. 59 | In our society, the relationship between people are more and more implicated, due to so many factors involved, just like money. 60 | Borrowing money from others is a common thing in our society, but it is a different thing that borrowing money from our friends. 61 | Borrowing money is a sensitive topic all the time. 62 | In plenty of novels and films, we can always see the same scenes that good friends break up because of borrowing money. 63 | Everyone will meet the shortage og money, which makes them borrow money from others to go through the crisis. 64 | At this moment, friends always comes first. 65 | When you are short of money, the first idea appears in your mind may be to borrow it from the person you familiar with. 66 | Recently, a discussion on if borrowing money from friends is harmful to fellowship has aroused. 67 | In our life , it is a common situation of lack money, and borrowing money from friends is a common method to deal it. 68 | However,somebody worries that borrowing money will be embarrassed for each other. 69 | In the past, borrowing money from each other between friends is a common enough occurrence in China, whereas nowadays, as the development of economy and the influx of new ideological trends, many people begin to hold the opinion that the most essential ties of friendship is built on the communication in the spiritual world. 70 | As a result, borrowing money between friends implies that their spiritual connection has been tainted by money. 71 | We often encounter difficulty in our life time and need help from friends. 72 | Affected by the market economy, providing money with no doubt becomes an efficient way of help. 73 | However, whether friends should borrow money from each other has always been a heated topic in society. 74 | People are concerning about the relationship between morality and interest rather than discussing an economic bahaviour only. 75 | Borrowing money from friends is an usual thing in our life. 76 | Sometimes when you hurry to work and forget to take your wallet, you'll borrow money from your friends. 77 | Sometimes when you go shopping and are really attracted by an expensive watch, you'll borrow money from your friends. 78 | Some people think that borrowing money from friends may damage the friendship. 79 | When we get stuck in some troubles, we are inclined to seek help for families and friends, inevitably, we face a choice-- whither to borrow money from friends or not? 80 | Someone hold the idea that boorrowing money from friends will be harmful to the friendship, however, others consider that borrowing money from friends will not damage the friendship. 81 | Nowadays, many people would borrow money from their friends. 82 | However, some people believes borrow money from their friends is an injurey to fellowship, some are not. 83 | In daily life, it is common that people who is facing difficulties have to borrow money from others. 84 | Many people turn to their relatives, their friends or the bank when they need money. 85 | Friend is someone who you know well and like, and who is the confidant of whole life. 86 | During the whole life, we would face different difficulties. 87 | We used to say that the friendship will be damaged if borrowing money from friends, but nowadays we say that our purses will be hurt if we concern about our friends. 88 | In this complex society, human beings always have to meet different types of people. 89 | Friends are one of the most important people that you have to meet. 90 | Sometimes your friends need your help, or perhaps sometimes you help each other. 91 | Borrowing money is an embarrasing event. 92 | for most chinese people,talking about money is always not a pleasant thing. 93 | somebody claim that,when people's friendship connects with money,the pure relation between two preson will metamorphic. 94 | The help provided by friends is regarded as a natural part of the friendship, and borrowing money from friends is not an exception. 95 | Some people think that borrowing money from friends is a reasonable thing without damaging the friendship. 96 | It is common that we all have time experiencing monetory shortage. 97 | And it is a baffling qestion whether to borrow money from friends for many people. 98 | Thus, an interesting discussion arises: does it really harmful to friendship if people borrowing money from their friends? 99 | It is sometimes said that borrowing money from a friend can harm or damage the friendship. 100 | As the development of society, the demand of material life of people is increasing, so people need more and more money. 101 | Some people prefer to borrow money from their friends, and they think that friends should help each other. 102 | However, others think that friendship should not invove in money. 103 | Now is a legal society. 104 | Nowadays, the economic world seems like it is in big trouble, the value of the stocks in China keeps decreasing. 105 | As a result, borrowing money has become a ordinary thing. 106 | If things develop as what those people expect who think borrowing money will hurt the friendship between friends, there will no longer be business partners, also, the world will be in chaos. 107 | Nowadays, many people are afraid to borrow money to their friends. 108 | Because they fear that if their friends don't repay them, they would lose both their friends and their money. 109 | -------------------------------------------------------------------------------- /model/20171110/train/EEXPFile.txt: -------------------------------------------------------------------------------- 1 | In fact, we even do not care about if the money can be returned because we are such good friends. 2 | That is because of the trust , I asked help from my friends and they borrowed me money ,this didn't make a loss of friendship. 3 | On the contrary ,it may contribute to a better trust and closer relationship,for the reason of money thing,it help us see each other in a realistic prospect,the person who borrows the money and the person who is been borrowed may increase their friendship basing on the generosity and reputed return. 4 | But we still get along very well because I trust him and he does always pay back on time. 5 | You see, it's fairly convenient. 6 | From this case, it take roots in my heart that lending money to friends in right ways can vitalize the friendship. 7 | Less communication just decay our friendship. 8 | Because of my great attention to the friendship,I will return the money early so as to protect the trust between me and my friends. 9 | It is supposed to help each other between friends,including helping each other by money. 10 | A friend in need is a friend indeed.The relationship between friends is built stronger because of these helping. 11 | It does not affect our companionship at all. 12 | The pact is the sign of mutual trust. 13 | Meanwhile,trust is the foundation of friendship. 14 | When friends respect and follow our pact,it perfectly shows our good friendship. 15 | When a friend needs money,it is also a time to test the friendship. 16 | And it is always to tell who is the true friend or who is not from borrowing money. 17 | What's more,when someone cherishes something,he puts his heart in it and pays more attention to it. 18 | Misfortune tests the sincerity of friends. 19 | The relationship between uncle Li and my father wasn't impacted but is more solid. 20 | They got out of much predicament owing to mutual support. 21 | the friendship between may get hurt, because we could feel uncomfortable when we meet each other. 22 | In my opinion, friends who trust me are willing to borrowing money from me, and so do I. 23 | A friend in need is a friend indeed. 24 | This example illustrates that borrowing must be for a reason, and timely assistance could enhance friendship. 25 | In a nut shell, true friendship will not be destroyed by money. 26 | In one word, this action of helping each other deepened our friendship. 27 | I believe that friends are supposed to help each other. 28 | Only when we accompany with our friends and help them when they need can the friendship be deeper and deeper. 29 | The belief in the friend's ability and the support reflects their deep relationship with each other. 30 | Mike may not repay it late on purpose. 31 | However, his behavior had influenced my ordinary expense, which resulted in my disgruntlement and finally reduce my trust on him. 32 | I think that if I borrow a great deal of money, it might shows that I am much poorer than him, which makes me feel shame. 33 | And as a result, our companionship will be injured. 34 | So it is easy to tell that lending money to your friends will not only maintain but also develop your friendship. 35 | which indicates that the relationship can be proved to be strong by streching out your hands when friends in need. 36 | Helping people in time is very valuable, mom is closer with her friend from then on. 37 | Owing to the belief to my friends, I needn't worry that they will disappear after borrowing money from me. 38 | And as for me, friendship will never be impaired because of the conflict of interests involved money. 39 | Borrowing from friends will make friends fell be needed, be trusted, and won't create gap. 40 | When people drug in problems, send money and help friend will make friend cherish the fellowship with you,and will make the fellowship deeper. 41 | As I said before, the true friendship which must be founded on mutual belief and did exist between Karl Marx and Friedrich Engels would never be hurt by money. 42 | As long as mutual trust existed between friends and the one who borrows money always repays it in time, there will be no injury to their friendship. 43 | True friends always put themselves in others' shoes. 44 | As my friends are all so thoughtful, there's no possibility for me not to treat them in the same way in return. 45 | As long as the two believe in and cherish each other, then the friendship would defeat the temptation of short-term interest. 46 | As the old saying goes, "A friend in need is a friend indeed." 47 | My mom accompanied her in her bad time which contributed to the validity of their companionship. 48 | This example suggests that hard condition can build strong friendship. 49 | That thing has much improved our friendship. 50 | I think our friends would gave money back to us as soon as possible if our friends are trustworthy. 51 | This example illustrates that borrow money from friends may help us to improve our fellowship. 52 | If he didn't borrow money from his friend, they would still keep a good relationship now. 53 | If he didn't borrow money from friends, he would not feel inferior to others and still keep a close relation with us. 54 | We develop our friendship bases on helping each other again and again, and if we face the great challenge in the future we won't be afraid relying on our friendship. 55 | Difficulties will come to all of us with no sign and we will take those who help us into our heart. 56 | As we are willing to lend money to our friends, the trust and concerning will be briefly delivered to them. 57 | Nourished by the love and care, the friendship will be more stable. 58 | that's the real reason make we two not family again. 59 | Because real friends really trust each other, and believe they will not refuse to pay the money back, borrowing or lending money will become a common and usual help between friends. 60 | If one helps friend to overcome difficulties, that friend will also be thankful and graceful and consequently promotes friendships. 61 | However,It was I that didn't care about the problem thus our relationship gapped. 62 | Borrowing money did not influence of relationship because our relationship is built on mutual trust. 63 | Then it's not money that harmed the friendship, because there was no friendship. 64 | Borrowing money is a kind of help. 65 | And friends exist because we need each other's help. 66 | This example shows that borrowing money from friends could enhance our friendship. 67 | -------------------------------------------------------------------------------- /model/20171110/train/EGFile.txt: -------------------------------------------------------------------------------- 1 | I have a real friend whose name is Cheng. 2 | Sometime I just forget to bring our purse outside. 3 | When this happened, I will ask him for money and pay the money back in a week. 4 | My father has borrow some money to one of his friend Wang two years ago, who was going to buy a new room that time. 5 | After getting help from my father, Wang consider my father as the best friend of him hitherto. 6 | I borrowed money from my friends few times,our friendship didn't be affected at all,because they give help when I truly need,and I returned my great credit and honesty by paying back money on time. 7 | My friend, Tom, is a case in point. 8 | He is so forgetful that he always go out without a wallet. 9 | As a result, he constantly borrow money from me. 10 | For instance, Jim, one of my classmate at college, had quite a period of hard time back then. 11 | Due to his family's financial troubles, he was unable to even buy the textbooks, so he found me, who was not that close a friend at that point, to give him a hand. 12 | Since then, we got closer and became intimate, having fun and hanging out together regularly. 13 | I remember there was a time that I went to the cafeteria of our school having left my wallet in my dormitory. 14 | Instead of fetching it in my dormitory, which was some distance away, I chose to borrow from my friend and roommate, Zhang. 15 | Then when we got back to the dormitory for a rest after having a meal, I just paid him back. 16 | Once in a while, I lent 100 to one of my friend, Chan, who is short of cash when signing up for a match. 17 | About 2 weeks later, I asked him about a math problem which I'm confused about. 18 | Since I had lent my helping hand, he was more than willing to help me get to the bottom of it. 19 | After that we often helped each other and our friendship lasted long. 20 | I never urge my friend after she borrowed money from me. 21 | And she must give money back to me in time. 22 | Mary,my best friend,had some difficulties with her family. 23 | She had to ask me for money and I gave it to her immediately. 24 | She was thankful to me. 25 | After this matter,our friendship was going to be better. 26 | I still remember the first time my family bought a new house, and my parents needed to borrowed some money from their friends, none of them refused. 27 | Since then, my family always say that we could not live such a comfortable room without their generosity. 28 | It occurs to me that one night after the self-study, the time was very late, my firend suddenly found that she had not enough money to take a bus to go home. 29 | She was worried to tears. 30 | When she saw me, she asked me to borrow her some money. 31 | I gave her some of my allowence and took her to the bus station, where we can both took a bus to go home. 32 | After that, we became good friends, when one was in trouble, we would do our utmost to help each others. 33 | once my close friend didn't want to talk to me till now because of borrowing money, and deleted my from wechat software. 34 | One of my close colleagues ask two or three hundreds from me every times untill 35 | Once under the condition, I borrowing money from my best friend who said that she had no money to lend directly. 36 | At that time I felt dishonored and the friendship was not as good as it looked. 37 | Therefore, I always reminded of borrowing money as soon as I thought about her, so the contact reduced slowly because of the shade of psychology and the friendship became lighter and lighter. 38 | Taking myself for instance, I'm more than glad to offer reasonable financial aids to my friends if they need any. 39 | Due to the confidence of my friends' honesty, worries concerning their failure to pay me back have never bothered me. 40 | When I was in my high school, I always stayed with Anna. 41 | Each time when we go out to have a fun, I always had to pay for Anna because she never brought her purse. 42 | Again and again, and Anna seldom remember to return money. 43 | Later, think Anna is a girl who is just greedy, and not own credit. 44 | It's really not a good choice to be good friend with her. 45 | So I just get away from her gradually. 46 | When asking others for money, It makes me feel ashamed. 47 | It seems that I can not afford what he can afford and I always can not bring enough money. 48 | And my friends confusion also embrasessed me,which made me want to avoid going out with him. 49 | I will return the money I borrowed from my friends as soon as possible. 50 | When I was traveling in Japan with one of my friends,he lost his credit card. 51 | Then I borrowed him some money to help him be able to enjoyed the traveling ,instead of having a terrible trip because of lacking money. 52 | After that he became my best friend. 53 | Before a friend borrows money from me,as long as we make a pact on the date he pays me back,I usually lead it to him. 54 | Once a friend of mine wanted to buy a limited-edition T-shirt which was 500 yuan. 55 | He was ready to break his piggy bank and then found out he still needed 100 yuan more. 56 | So he asked me for the money and made a pact with me promising he would pay my back within a month. 57 | I lent it to him before he bought the fancy clothes. 58 | After that,he paid me back as he promised and we became close friend since then. 59 | He would told me secrets that I did not know before. 60 | For instance, once I had to borrow money from one of my friends because I spent all my living expenses too early. 61 | My friend didn't hesitate to lend money to me, although she knew I couldn't pay back the money in a short time. 62 | Two months ago, I had given money to her. 63 | During this period, our relationship wasn't influent by money. 64 | For example, uncle Li, one of my father's friends, has ever borrowed money from my father due to the sickness of his family. 65 | At that time, my father didn't hesitate to give uncle Li a hand. 66 | Till now uncle Li still appreciate my father when it has been mentioned. 67 | i won,t borrow money from my friends in any case,except without any other choice,it will make me feel uncomfortable and always owes my friends. 68 | For example, after a dinner party, Xiaoming was ought to pay for the part of xiaohong's, but he forgot it. 69 | Xiaoli was responsible for collect money. 70 | He realized it, but he didn't say anything. 71 | He thought Xiaoming pretended to be muddled. 72 | While friends borrow money from me and I can afford it, It is my pleasure to lend it to them. 73 | For instance, Mr. Wang, who my father grew up with, failed in his business and cash flow problems have occurred. 74 | After that, my father watched Mr.Wang's back while he know the problem. 75 | Till now, Mr.Wang still appreciate dad when they mentioned this story. 76 | For example, once I cooperated with a friend to do a sales project, it is easy to see that money is involved here, however, this did not do anything to our friendship and we are always good friends. 77 | Once I lost my wallet and got into trouble, I asked my friend Elsa for help and she helped me sincerely. 78 | From that on, our relationship doesn't seem to have got any harm, but became tighter because of that issue. 79 | Last winter vocation, a friend of mine traveled in Japan and asked me to help her turn on the international roaming service in Beijing. 80 | However, the preliminary requirement to turn on this service was that the balance of the mobile phone must reach the minimum requirement at least, and she couldn't recharge in Japan. 81 | Without any hesitation, I recharged hundreds yuan directly for her. 82 | Though this money was not a huge sum, it was also big to we students, and this really made her grateful. 83 | One colleague of my English teacher once borrowed some money from him when the colleague left the school to create his own career. 84 | After three years, he succeed in his new project and returned the money back to my English teacher and even send some stock of his new company to my teacher. 85 | Once when I go to a restaurant with one of my friend Mike, he forgot his wallet, and I payed his bill. 86 | He promised that he will repay the money as soon as possible. 87 | But he broke his promise and repayed it after a month due to my urge. 88 | When going out with friends, I hope that we can pay our own bill separately. 89 | Even though I don't have enough money, I won't borrow lot's of money from my friends. 90 | Once my best friend wants to celebrate her boyfriend birthday, and she is running out of money at that time so I lent her 300 RMB to help. 91 | It is my help that moved my best friend and her boyfriend and make her boyfriend realized her girlfriend must be kind too because she has that kind friend. 92 | My friend appreciate my help a lot and when I was in trouble she is always the first one to give me her hand. 93 | I used to lent money to one of my friend for emergency, and she promised that she will repay to me as soon as she has enough money. 94 | But from then on, she always shirk to repay. 95 | After several times communicate, I lost faith to her because of she's perfunctory attitude and decided to be quite of she's society. 96 | When I graduated from the university, my friend Xiao he came to my home. 97 | Because she did not have enough money to pay for the tickets, I paid her in advance. 98 | After a year, Xiao he did not pay back at all. 99 | Her silence made me feel that she did this on purpose, and our relationship soon went sour. 100 | Thus, our friendship been damaged. 101 | for example,one of my uncles borrowed some money from my father when was in economic poverty. 102 | he is sill grateful for my father's quick help. 103 | as the saying goes,friends in need is a friend in deed,that thing results father and uncle getting closer and closer to each other in these days, 104 | Once upon a time, my Mom borrowed 20,000 RMB from her friends while something urgent happened without enough savings. 105 | Her friend borrow the money immediately despite 20,000 is not a small amount. 106 | For example, when my friends is in urgent need of money, I will lend them money as long as I am eligible with pleasure. 107 | I also borrow money from friends a lot times, but i will never return it to my friends late, so my friends trust me. 108 | Guan used to take money more than he ought to as loans, but Bao got along with Guan well. 109 | When MaYun started-up, nobody believed him, but his friend decided to borrow him money,and work with him. 110 | At last, Mayun builds his business empire,the fellowship between him and his friend become love, and his friend becomes his wife. 111 | When Marx write Marxism,he is in the worst situation. 112 | But his friend Engels always sent his money, made sure of his life. 113 | As a result, Marx finished his book and became a great people that no one can ignore in the history of philosophy. 114 | The fellowship between he and Engels is phrased widely. 115 | For example, when Karl Marx writing the masterpiece Das Kapital, he was trapped in an economic plight and even had no money paid for food for his family. 116 | It was his friend -- Friedrich Engels who provided him with a long term economic aid which lasted for decades and their friendship has never been harmed by money at all. 117 | Take me, for instance, I have a classmate whose spending exceeded the predicted cost during his travel to Beijing, so he borrowed 1000 yuan from me and paid it back immediately after he came back to school. 118 | Meanwhile, he bought a souvenir for me to express his appreciation. 119 | Once Vivian, my high school classmate, has granted loans to me, I worked part-time every week to try my utmost to repay it with the understanding that she trusted me for me being her friend that would treasure our fellowship. 120 | My mom's friend, aunt Liu, divorced at her middle-age, having no one to depend on. 121 | Then my mom showed her generosity and lent her money as her daily expenses until she could earn her life again. 122 | Aunt Liu was so grateful that she often mentioned this. 123 | When I borrow money from my friends, they are all very generous. 124 | They know me well and also believe in me, so they lend me the money without hesitating. 125 | And I will return the money in time to protect and keep our friendship. 126 | Once, a roommate of my university turned me for help. 127 | She had just got a job, and didn't have a good salary. 128 | But one of her close relatives was seriously ill, she needed money. 129 | When she called me and asked me, I answered yes without hesitation. 130 | I lent her two thousand yuan. 131 | Not long after that, she paid all the money back. 132 | Now we live and work separately in this city, but still keep in touch with each other. 133 | And she really appreciates my help. 134 | last summer, I went for travelling, and my friend zhang's home was near to the place I travelled. 135 | When knowing this, he called me and wanted to invite me to a meal. 136 | We went to the restaurant, at the moment of finishing the meal, he answered a phone, then he told me he had a emergency, after borrowing money from me, he went away in a haste. 137 | A few days passed away, he said nothing with the borrowed money. 138 | I considered that the meal was a plea, the main reason he saw me was that he wanted borrow money from me. 139 | After borrowing, he acted as if the thing had never happened. 140 | It is the behvior that I didn't want to be his friend anymore. 141 | For instance, one of my good friends ask me whether I can lend some money to her because she needs to take bus and back to home and there was not enough money to buy a ticket. 142 | At the time, I brought some money and could lent it to her. 143 | She gave the money back to me after that day. 144 | For instance, one of my mother's friends would like to buy a house but she was lack a bit of money. 145 | She tried to borrow it from my mother and my mother did. 146 | Till now, she is still thankful to my mom's help and kindness. 147 | He borrowed money from his friend and promised repaying after a month. 148 | However, he didn't have enough money on the deadline of repaying, and he didn't explain the reason to his friend, which made his friend think that he didn't return the money on purpose. 149 | Although my friend returned the money several days after, their friendship was still influenced by this misunderstanding. 150 | One of my friends once borrowed a large amount of money from another friend of mine, and after that he often felt ashamed when he met we friends. 151 | In result, he was less and less willing to take part in our parties, which led that his relations with other friends not close as before. 152 | I once thought to buy a figure of animation, but I can't afford the balance payment. 153 | And my friend help me with his money, I remember it until now. 154 | For example, my mother has a good friend who came to Shanghai to support her mun and two brothers. 155 | Once she was badly ill, but almost all her salary was sent back to home, so she borrowed money from my mother to get treatmment. 156 | Ten years have passed away, but she still sometimes share this old story with her relatives and friends. 157 | For instance, once I borrow my friend's money, the number is 100 rmb. 158 | At that time, I said that I must pay back in 1 week. 159 | After one week, I initatively find my friend and pay back that 100 rmb. 160 | Although it makes some troubles to my friend, our relationship still stable and I don't harm him. 161 | For example, your premise is 1 week, however, your friend finds out a stuff on the Internet that will be sold out in 2 days. 162 | Then your friend faces a dilemma. 163 | That may create some conflicts. 164 | there is a example of my own experienxe,i lended a sum of money to my roommate during my college time,but my roommate didn't repay me for a very long time . 165 | i thought she intended not give the money back to me . 166 | eventually,i have to charge her. 167 | but she repaied the money in a unpleaseant attitude. 168 | i felt really disappointed about her condition. 169 | the friendship between us gradually fade away. 170 | still taking for example the above mentioned experience of mine. 171 | after my roommate borrowed money from we ,we seldom communicated with each other, 172 | I travelled to Beijing with my friend Linda after graduating from high school. 173 | I paid for her temporarily because she didn't bring enough money. 174 | However, she never mentioned it since then, which I thought was what she did on purpose. 175 | We felt embarrassed because of the dispute of money, and our friendship was getting weaker and weaker after that travel. 176 | Once upon a time, I borrowed money from Jack due to the financial absence,which dishonored us at that time. 177 | As a consequence,I avoided to meet him and we were not as close as we used to be. 178 | For example, when I am out for my study in another city, I will always give my house's key to my friends in case of the emergency. 179 | If I am really concerned about my friends are to damage my economic investment, of course I will not do that. 180 | For instance, my mother's friend's mother once got a serious sick and needed a lot of money to do an operation. 181 | Once he asked my mom to borrow some money, my mother immediately agreed and helped him. 182 | After the operation, his mother's desease was cured and from that time, his mother treated my mother as her daughter and that friend of my mother knew who was his real friend and saw her as his sister. 183 | Thus, there must be reasons for a person to borrow money. 184 | Without thinking twice then,I borrowed 5yuan for beakfast from my roomate,who has finanical problem. 185 | It was not until he mentioned that three months later did I recall it shamely. 186 | Five yuan may count nothing for me,but for my mate,it could be essential. 187 | when i was in middle school, i got several friends whose family is much richer than mine. 188 | Once a time, when i pass through a bookstore, i found a book that interested me very much but i just could not afford it. 189 | In fact, at that time, i really wanted to borrow money from my friends but i was afriad that it will be harmful to our relationship. 190 | However, then, one of my friends noticed that i did not have enough money and he lent money to me, which touched me deeply. 191 | I can never forget the moment he show me the money; 192 | However, in some cases, such as purchasing for your coffee, you will be literally embarrassed if you forgot to bring your wallet. 193 | For example, if one of my friends asked me for some money due to some emergency and never paid me back, it means that he thought we don't have friendship, or the friendship is not worth the money I borrowed him. 194 | My father once borrowed money from his friends for his business, and most "friends" made an excuse and didn't help him except several ture friends. 195 | Since then, my father believes that only those who will help him when it's an emergency can be called ture friends. 196 | -------------------------------------------------------------------------------- /model/20171110/train/GRLFile.txt: -------------------------------------------------------------------------------- 1 | Cases like my family's are many, your friend would feel grateful if you help them in time. 2 | Friends are always supportive of each other which is supposed to be. 3 | -------------------------------------------------------------------------------- /model/20171110/train/IRLFile.txt: -------------------------------------------------------------------------------- 1 | Do you agree or disagree with the following statement: It is sometimes said that borrowing money from a friend can harm or damage the friendship. 2 | Use specific reasons and examples to support your answer. 3 | Do you agree or disagree with the following statement: It is sometimes said that borrowing money from a friend can harm or damage the friendship. 4 | Use specific reasons and examples to support your answer. 5 | Do you agree or disagree with the following statement: It is sometimes said that borrowing money from a friend can harm or damage the friendship. 6 | Use specific reasons and examples to support your answer. 7 | Do you agree or disagree with the following statement: It is sometimes said that borrowing money from a friend can harm or damage the friendship. 8 | Use specific reasons and examples to support your answer. 9 | Do you agree or disagree with the following statement: It is sometimes said that borrowing money from a friend can harm or damage the friendship. 10 | Use specific reasons and examples to support your answer. 11 | As a resultThroughout my life, I have been lucky enough to have a very good relationship with my parents. 12 | They have supported me, given me necessary criticism, and taught me a great deal about how to live my life. 13 | Parents can be very important teachers in our lives; however, they are not always the best teachers. 14 | During the process of communication, gaps may rise in the circumstances where the two can not trust the othe one. 15 | Parents may be too close to their children emotionally. 16 | Sometimes they can only see their children though the eyes of a protector. 17 | For example, they may limit a child's freedom in the name of safety. 18 | A teacher might see a trip to a big city as a valuable new experience. 19 | However, it might seem too dangerous to a parent. 20 | Parents are usually eager to pass on their value to their children. 21 | But should children always believe what their parents do? 22 | Maybe different generations need different ways of thinking. 23 | When children are young, they believe that their parents are always rights. 24 | But when they get older, they realize there are other views. 25 | Sometimes parents, especially older ones, can't keep up with rapid social or technology changes. 26 | A student who has friends of all different races and backgrounds at school may find that her parents don't really understand or value the digital revolution. 27 | Sometimes kids have to find their own ways to what they believe in. 28 | The most important thing to realize is that we all have many teachers in our lives. 29 | Our parents teach us, our teachers teach us, and our peers teach us. 30 | Books and newspapers and television also teach us. 31 | All of them are valuable. 32 | Nevertheless, I think that the most important lessons can’t be taught; they have to be experienced. 33 | No one can teach us how to get along with others or how to have self-respect. 34 | As we grow from children into teenagers, no one can teach us how to deal with peer pressure. 35 | As we leave adolescence behind and enter adult life, no one can teach us how to fall in love and get married 36 | The most important thing to realize is that we all have many teachers in our lives. 37 | Our parents teach us, our teachers teach us, and our peers teach us. 38 | Books and newspapers and television also teach us. 39 | All of them are valuable. 40 | To put it in another way, 41 | Do you agree or disagree with the following statement: It is sometimes said that borrowing money from a friend can harm or damage the friendship. 42 | Use specific reasons and examples to support your answer. 43 | Do you agree or disagree with the following statement: It is sometimes said that borrowing money from a friend can harm or damage the friendship. 44 | Use specific reasons and examples to support your answer. 45 | Do you agree or disagree with the following statement: It is sometimes said that borrowing money from a friend can harm or damage the friendship. 46 | Use specific reasons and examples to support your answer. 47 | Do you agree or disagree with the following statement: It is sometimes said that borrowing money from a friend can harm or damage the friendship. 48 | Use specific reasons and examples to support your answer. 49 | aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa 50 | 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Community service is an important component of education here at our university. 54 | We encourage all students to volunteer for at least one community activity before they graduate. 55 | A new community program called "One On One" helps elementary students who've fallen behind. 56 | You education majors might be especially interested in it because it offers the opportunity to do some teaching—that is, tutoring in math and English. 57 | You'd have to volunteer two hours a week for one semester. 58 | You can choose to help a child with math, English, or both. 59 | Half-hour lessons are fine, so you could do a half hour of each subject two days a week. 60 | Professor Dodge willact as a mentor to the tutors---he'll be available to 61 | -------------------------------------------------------------------------------- /model/20171110/train/PTFile.txt: -------------------------------------------------------------------------------- 1 | As far as I am concerned, borrowing money from freinds will not damage our friendship. 2 | I don't agree that borrowing money from friends will inevitably harm the friendship because it's a normal thing in some degree especially when we have some troubles,and the friendship would not be affected if the repudiation or default doesn't happen. 3 | However, from my point of view, I do not believe that this claim can hold water. 4 | From my point of view, borrowing money from friends is not an injury to the companionship. 5 | However, with the following suggestions, I keep the statement that it might deteriorate the friendship. 6 | I don't think that borrowing money from friends is harmful to friendship. 7 | Maybe someone might believe that borrowing money from friends would harm friendship, but I think that borrowing money from friends will not hurt friendship. 8 | However, in my opinion, friendship represent trust and helping each other. 9 | Borrowing money from friends doesn't mean it will damage friendship. 10 | However, I beg to differ. 11 | So I think that borrowing money from friends is harmful to friendship. 12 | In my opinion,however,borrowing money from friends will not damage the friendship. 13 | In my opinion,I don't think borrowing money from a friend can damage the friendship. 14 | From my perspective, real companionship is so strong that it won't such fragile. 15 | i,m totally agree with this statement that borrowing money from a friend would damage the friendship of us. 16 | I do not believe that this claim can hold up. 17 | And I don' think borrowing money from friends will do harm to our friendship. 18 | However, I think borrowing money from friends can be harmless to the friendship and may even enhance the friendship. 19 | however, I believe that real friends will not care about that. 20 | However, from my point of perspective, borrowing money from our friends may be harmful to our friendship. 21 | Actually, I don't think borrowing money from friends can hurt friendship 22 | However, in my opinion, borrowing money from friends is a risky behavior, because it might damage friendship easily. 23 | Personally, I believe borrowing money from friends can actually damage our friendship. 24 | Although money,being related to interests among us, is thought may hurt the relationship between friends,i still thing it isn't that much serious and can even make friendship be more close. 25 | In my opinion, I think that borrowing money from our friends is harmful for our friendship. 26 | However, as far as i am concerned, borrowing money from friends cannot injure the fellowship in reality. 27 | In my opinion, it will not damage the friendship for quite sure. 28 | But In my view, borrowing money won't damage fellowship 29 | As far as I'm concerned, I don't think borrowing money from my friends will damage the friendship, instead, it can reinforce our friendship. 30 | In my opinion, borrowing money from friends would not harm the friendship. 31 | But to me, if you do that occasionally and not a large sum of money that your friends can't afford, it'll be all right. 32 | As far as I am concerned, I account that it will be hurt the friendship when borrowing money from friends. 33 | In my opinion, borrow money from our friends won't injure our friendship. 34 | In my opinion, each of these ways has its own merits and demerits, but the worst choice is borrowing money from friends. 35 | Due to the fragility of friendship, borrowing money may damage the relationship between friends. 36 | Sometimes, we would borrow money from our friends to solve the problem, but this action can't damage the friendship. 37 | In my opinion, i think borrowing money from friends won't do harm to the friendship. 38 | However, I think it will not harm the relationship between you and your friends. 39 | in my opinion,i am in agreement with the claim that people's friendship will be destroyed by money. 40 | However, I hold the opinion that borrowing money from friends is likely to do harm to the friendship. 41 | As far as I concerned, it will not damage friendship to borrow money from friends. 42 | In my regard,it does synchronize with my opinion. 43 | As far as i am concerned, one that borrow money from his friends will not be harmful to their friendship. 44 | So I will definitely hold the faith that borrowing money will not break the friendship. 45 | However, I believe that borrowing money from our friends will not harm our friendship. 46 | -------------------------------------------------------------------------------- /model/20171110/train/RAFMFile.txt: -------------------------------------------------------------------------------- 1 | From what has been discussed above, borrowing money from friends cannot damage the friendship. 2 | Therefore,a good repute borrowing would never be harmful to the friendship. 3 | Hence,I don't favor the point that borrowing money will cause a damage on friendship. 4 | In my view,the most important thing is the friendship between friends will not be affected by borrowing money as well as trust between them,if not ,they might be closer on account of this matter. 5 | For the sake of maintaining and developing the friendship among friends, we'd better not 6 | To put it in a nutshell, borrowing money from friends is perfectly fine without being an injury to friendship. 7 | From what we discussed above, borrowing money isn't harmful to fellowship. 8 | Thus borrowing money from friends will deteriorate the friendship. 9 | All in all, I keep my statement that borrowing money from friends will do harm to the friendship. 10 | As a result, borrowing money from friends won't injure friendship. 11 | In conclusion,borrowing money from friends won't damage friendship. 12 | Therefore, borrowing money from your friends will not hurt friendship. 13 | So, we can say that borrowing money will not destroy the friendship which has a deep root. 14 | In short, i believe borrowing money will not spoil friendship. 15 | So I think borrowing money will hurt our friendship. 16 | In the end, I think borrowing money will damage the friendship. 17 | Those problem will have bad influence on friendship, so I think borrowing money is harmful to friendship. 18 | All in all, I insist that borrowing money makes no good to friendship. 19 | So it would be better not to mix the friendship with profits such as money. 20 | So,it will not damage the friendship borrowing money from friends. 21 | So borrowing money will not damage the friendship. 22 | So borrowing money from a friend is not an injury to friendship. 23 | Therefore, the real friendship is sturdy enough to avoid harm. 24 | In a nutshell, it is not detrimental for people to borrow money from friends. 25 | after all,my opinion is that we shouldn,t borrow money from our friends except without any other choice, 26 | So I think borrowing money can affect friendship. 27 | In summary, the unbalance caused by borrowing money can ruin friendship. 28 | Thus, borrowing money from friends would not hurt the friendship. 29 | So, I advocate that borrowing money from friends will not hurt the friendship. 30 | So borrowing money from friends can do no harm to our friendship. 31 | So, borrowing money from friends will not harm friendship. 32 | In conclusion, borrowing money from friends will do no harm to friendship, 33 | Therefore, borrowing money from friends will not be an injury to the friendship. 34 | So I think borrowing money from a friend can not harm or damage the friendship. 35 | So borrowing money from firends will not become an injury to the friendship. 36 | So I think borrowing money from firends will not hurt the friendship. 37 | Taking these factors into account, I hold that borrowing money from friends is truly harmful to fellowship. 38 | So it's unnecessary to worry about money will be the factor to take apart your friendship. 39 | To put into a nutshell, borrowing and lending money to your true friends will not influence friendship. 40 | in a word, though some problems may appear during our friends lending money from us,we should still believe offering help won't do harm to our friendship because of understanding and trust! 41 | Above all, I think borrowing money with friends won't damage friendship. 42 | All in all, asking money from friends will casue no discord 43 | So, borrowing money from friends will not damage the fellowship. 44 | So I believe that borrowing money from friends will not damage the fellowship. 45 | In a nutshell, borrowing money from friend is basis on the trust, and it won't damage the fellowship ,but make it deeper. 46 | Thus, borrowing money will not damage friendship definitely. 47 | So from my point of view, borrowing money from friends does no damage to the feeling. 48 | So borrowing money is not a threaten to the friendship. 49 | All in all, borrowing money from friends is not a bad thing for the friendship. 50 | All these problems will hurt the friendship, so I believe that borrowing money is an injury to fellowship. 51 | The matters will have a bad influence on the pure friendship. 52 | So I believe that borrowing money damage fellowship. 53 | Thus, borrow money from friends won't injured friendship. 54 | Thus, I believe borrow money from friends won't injure fellowship. 55 | Therefore, borrowing money from friends sometimes have a bad impact on friendship. 56 | So, borrowing money from friends won't damage the friendship. 57 | In summary,the real friendship won't be broken because of the money. 58 | So,in my opinion, borrowing money from friends won't damage the friendship. 59 | To sum up in conclusion, borrowing money from friends won't damage the friendship. 60 | Therefore, I think that borrowing money from your friend is not a big deal. 61 | In general, borrowing money from your friend is not a harmful thing. 62 | to put it in a nutshell,it is easily hurt friendship when have something to do with money. 63 | So it's of wisdom for us to prevent our friendship from financial issue. 64 | As a result, borrowing money will not damage friendship. 65 | All in all, borrowing and lending money between friends will not harm friendship. 66 | so I believe borrowing money from friends will hurt the friendship. 67 | So I think borrowing money from friends does undermine friendship. 68 | So I believe borrowing money will not harm our friendship. 69 | -------------------------------------------------------------------------------- /model/20171110/train/RSFile.txt: -------------------------------------------------------------------------------- 1 | Borrowing money from friends is not harmful to true fellowship. 2 | In some cases, borrowing money to friends even can strengthen the companionship. 3 | True friends won't be separated by a reason of money unless when they lose trust on each other, 4 | However, once involving conflicts of interests such as money will do harm to the friendship 5 | we may be embarrassed by borrowing money from friends. 6 | The true friendship will not be damaged by issues concerning money. 7 | To begin with, the problem of money will never give rise to antagonism in true friendship. 8 | In addition, it is possible that our companionship develops by borrowing money from each other rather than being damaged. 9 | Firstly, friends can easily understand that our borrowing is fair and reasonable. 10 | Furthermore, borrowing from friends probably make friendship firmer. 11 | Firstly, if one borrows money from his people, it will cause controversy between friends. 12 | Secondly, borrowing money from friends will lose our face. 13 | The true friendship won't be hurt by borrowing money between real friends. 14 | The true friendship won't be hurt by money. 15 | Borrowing money from friends doesn't injure friendship,even it can deepen the friendship. 16 | The truly friendship will not be hurt because of money. 17 | Indeed, borrowing money from friends will not hurt friendship, but improve your relationships. 18 | True friendship will not be broken down because of borrowing money. 19 | On the contrary, this kind of deed will deepen friendship as well as keep friendship ever green. 20 | So, how to understand lending money to friend is a accelerator to the depth of friendship? 21 | borrowing money from friends will produce contradiction because of returning money. 22 | borrowing money from friends may make us lose face. 23 | First and foremost, genuine friendship won't be affected by money issues. 24 | First, when you ask friends for money, it may leads to the argument on returing the money. 25 | Second, borrowing money from friends will let us feel shame. 26 | Real friends do not generate enmity for money. 27 | Borrowing money from friends will not do damage to the friendship,but inprove it. 28 | Real friendship will not be influenced by the money. 29 | Borrowing money from a friend not only is not an injury to friendship but also reinforces it. 30 | First, the problems about money can't effect real friendship. 31 | In addition, friendship isn't damaged but enhanced by borrowing money from friends. 32 | we might have some conflicts for borrowing money from our friends, 33 | borrowing money from our friends may make us feel uncomfortable,because the friendship is based on equality. 34 | For instance, it is possible that returning the money may cause contradiction. 35 | Borrowing money from friends may make us embarrassed. 36 | A fissure would not appeared in real friendship because of the money. 37 | Borrowing money from friends not only will not harm the friendship, but deepen friendship. 38 | Firstly, it seems that true friendship will not be damaged when getting in touch with money. 39 | Secondly, borrowing money from friends is not such thing that will harm friendship but what strengthens friendship. 40 | The true friendship will not be damaged because of money. 41 | Borrowing money from friends not only wouldn't harm or damage the friendship, but also can deepen the friendship. 42 | True friendship will not be obstacled by money. 43 | Borrowing money from friends may sometimes not only has no damage to the friendship, but also contribute to it. 44 | Firstly, borrowing money from friends might ignite some conflicts when it comes to repaying money. 45 | Secondly, borrowing money from our friends may embarass us. 46 | A real friendship will not be fragile results from money. 47 | Lending money to my friends will develop our friendship instead of destroy it. 48 | Borrowing money from friends will lead to conflict of repayment. 49 | Borrowing money form friends also makes us lose face. 50 | Borrowing money from firends can cause conflict due to the duetime. 51 | firstly, there shouln't emerge problem between friends only because of money. 52 | not only won't lending money to friends do harm to relationship, which but also will be deepened. 53 | The true friendship won't be affected by money. 54 | Borrowing money from friends won't damage the fellowship, instead, it will empowered to friendship. 55 | Gaps will never be produced between the true friendships because of money. 56 | Moreover, borrowing money not only will damage the friendships but will also deepen them. 57 | A true friend will not blame you on borrowing money. 58 | Not only will borrowing money from friends cause damage to friendship, but it tends to deepen friendship. 59 | The true fellowship could not be hurt by the money problem. 60 | Borrowing money from friends not only has no damage to fellowship, but also can help building the companionship more rigid. 61 | The true fellowship won't create a gap because of money. 62 | Borrowing money from friends won't damage fellowship, but deepen the fellowship instead. 63 | A genuine friendship will never ever been injured by money. 64 | borrowing money from friends won't injure their friendship, instead, the bond between them can be enhanced, 65 | First of all, money can't cause problems between true friends. 66 | Moreover, borrowing money from friends not only does no harm to the fellowship but in fact enhances it. 67 | True friendship will not be hurt by lending and borrowing money. 68 | Borrowing money from friends will not damage the friendship, sometimes it can even strengthen the friendship. 69 | Firstly, it is easy to cause contradiction becase of borrowing money from friends. 70 | Secondly, borrowing money from friends will make us lose face. 71 | True frisendship won't hurt because of problems of money. 72 | Borrowing money from friends won't injure fellowship, it will increase friendship. 73 | First of all, if you have no ability to repay the money, your friends may doubt about your moral quality, which is obviously an injury to fellowship. 74 | Secondly, borrowing money from friends may cause inequality between friends, which make the relationship between friends not pure any more. 75 | The real friendship can't be broken by borrowing money. 76 | Borrowing money from friends not only isn't an injury to friendship, but also develop it. 77 | True friendship won't have gaps because of the money. 78 | Furthermore, borrowing money will not only do no harm to the friendship but also uplevel the friendship. 79 | First of all, borrowing money is a normal thing in helping each others. 80 | In addition, if your friend doesn't want to borrow you money, it is still normal and it will not lose your reputation. 81 | borrowing and lending money are the most serious contradictory to influence friendship. 82 | secondly,borrowing money with friends may make us lose face. 83 | For it will generate bitterness between friends when returning money and be embarrassed to us when borrowing money. 84 | Firsty, borrowing money will generate bitterness between friends when returning the money. 85 | What's more,borrowing money from friends is likely to make us lose face. 86 | First of all, truely friendship will not be harmed by monetary problems. 87 | Futhermore, borrowing and lending money between friends will not only not damage friendship, but also improve it. 88 | As soon as you ask a friend to lend you money,conflict will be caused by the matter of returning the money. 89 | Borrowing money from friends can dishonor ourselves. 90 | Real friendship will not be damaged because of money. 91 | The true friendship will not have crevice because of money. 92 | True friendship won't have bad blood because of money. 93 | Ture friendship will not be harmed by money issues. 94 | Borrowing money from our friend will not harm our friendship. 95 | On the contrary, it will enhance our friendship. 96 | -------------------------------------------------------------------------------- /model/20171110/train/RTTFile.txt: -------------------------------------------------------------------------------- 1 | In reality, a friend who betrays you for money is not a real friend of you. 2 | Comparing with the friend above, real friends understand that which is more important between friendship and money. 3 | As for you, there is no need to sustain a friendship with those who do not cherish you. 4 | As a matter of fact,true friendship would never been damaged since that the foundation of it--trust won't been rocked by the issue of borrowing money. 5 | As a matter of fact, 6 | However, this case is quite unlikely as long as we make friends with the right persons and build the true friendship. 7 | However the misunderstanding will be perfectly settled as long as we do as below. 8 | Whenever we are borrowing, we should not forget to set a reminder of "return $?? to ??" on our to-do list. 9 | If we've lent our money out to a friend and he/she haven't paid us back, chances are good that he/she forgets about it. 10 | In this case, we can simply reminder of him/her politely and our money should be returned soon. 11 | However, in my opinion, it will cause several problems if the money-connection was created between friends. 12 | Actually,true friendship won't be hurt. 13 | Friendship is on the basis of equality and trust. 14 | Actually, the truly friendship will not be hurt because of that, because a real friend always take care of his/her friends' feeling. 15 | Actually, a pure friendship will not break because of this, for it will be reliable and worthy. 16 | Under the circumstance which finance is available, there will not have a rift of displeasure. 17 | But in fact, once the money is involved, the problem occurs such as returning or not returning the money or when to return the money. 18 | These problems will injure the friendship. 19 | But, in fact, when money is mixed into the relationship of friends, it becomes problems. 20 | For example, if you forget to return money, or if you feel sad. 21 | In fact，a real friendship will not be damaged by this. 22 | A real friendship is not based of money,but the trust that generated after a long time companion,never suspecting. 23 | In fact,those who change their attitude once borrow money from you,deep down inside,do not think of you as a friend,more of a nobody. 24 | The fellowship does not even exist all the time. 25 | As a matter of fact,true friendship does not change because of it,because true friends make a pact with you before you ask and respect the pact by paying back on time,at the same time,is appreciated by each other involved. 26 | In fact, compared with emotion between them, money as the material tool is not important. 27 | howerver,the friendship would be changed once it is related to money affairs. 28 | along with many problems ,you may feel uncomfortable when you refuse to borrow you friend money or ask them to pay back you money as soon as possible. 29 | all of these things would hurt the friendship. 30 | But in fact, once friendship is involved with money, many problems will come out. 31 | For example, don't payback, too long to payback ,etc. 32 | All these problems can do harm to friend ship. 33 | Virtually, the real friendship would not be spoiled. 34 | The true friend would be happy to help you with all their heart when you need, which show the real friendship. 35 | However, frankly, the profit between each other is also an important part of the social contact between people. 36 | Therefore this kind of social contact can only make friendship greater. 37 | However, as a matter of fact, the true friendship will not be damaged because of this in that borrowing money is not permanent as long as we pay back in time. 38 | In fact, real friendship will not be damaged because they will explain the reason for their inconvinience and try to help the lenders in other ways. 39 | However, when friends have some relationship which is based on money, lots of problem will come out. 40 | For example, friends might have disagreement on when to repay the money. 41 | All kinds of problem will do harm to companionship. 42 | In fact, the real friendship will probably not be beaten so easily. 43 | You and your friends become friends results from your similar hobbies and characteristics, not money. 44 | actually, with understanding, we won't care much about it when compared to the truely trust between us., which means that borrowing the money from our friends is ok. 45 | In fact, the true friendship can't be damaged cause real friends are relatives so borrowing money from friends is not an injury for friendship. 46 | However, in fact, a stout friendship will stay safe for the friendship is much more signifcant than money,which proves that borrowing money from friends is fine. 47 | In fact, true fellowship will not be impact by this because it is on the basis of belief, which would not tremble due to the money issue. 48 | but it is the willing of stand the risk show the value of the fellowship 49 | As a matter of fact, the true friendship means helping each other, of course containing the help with money. 50 | To tell the truth , true friendship won't be harmed because true friends won't let their friends suffer but think of them instead. 51 | In this case, the fellowship would be safe though the behaviour of borrowing money takes place. 52 | In fact, true friendship is not influenced by these. 53 | True friends know each other so well that they trust each other, and of course they don't doubt about it. 54 | So, don't be worried when you really need to borrow money from your friends. 55 | But actually, when there is a relationship of money between friends, there will be lots of problems, such as the misunderstanding, the reduce of communication, etc. 56 | Actually, true friendeship will not be injured because true friends will not only repay it to us but also the relationship will become better and better. 57 | However, in many cases, people are unable to deal with these problems well after borrowing money, which lead to a misunderstanding between friends and make the friendship less closer. 58 | Actually, the real friendship can't be broken,because it is above all the benifits. 59 | The people who you don't want to lend money to is not your real friend. 60 | In fact, the true friendship won't be damaged, because understanding and care is the fundation of the friendship. 61 | Whereas, you can use the conversation skills to overcome these predicaments. 62 | however,as long as we are extreme cautious when coming down to the money problem with friends,the issues above will be perfectly solved. 63 | However, selflessness doesn't mean offer the help which will become an injury of friendship . 64 | Once there are some factors of money in the friendship,they will deeply hurting the friendship owing to development of barrier and the break of the equality in relationship. 65 | But in fact, real friendships will not be influced. 66 | Real friends will also think for you, and will pay you back as soon as possible if they have money because they do not want you to be anxious. 67 | In fact,once money relationship forged between friends,trouble can come after. 68 | If debt is not paid off,friends would be suspicious about each other. 69 | These problems may undermine friendship, 70 | i think that is because that they are not real friends. 71 | Their relationship is not on the basis of mutual trust. 72 | Borrowing money from a real friend will not damage their freindship. 73 | on the contrary, their realtionship will be more tight after that. 74 | In fact, ture friendship will not be harmed, because ture friends will not refuse to pay you back on purpose. 75 | -------------------------------------------------------------------------------- /model/20171110/train/SRSFile.txt: -------------------------------------------------------------------------------- 1 | It is not only because true friends believe in each other, but also because lending money to others can show you care about them. 2 | It is not only because true friends will never be suspicious of each other, but also because borrowing money can sometimes be a chance to develop the friendship. 3 | It's not only because our friend can easily understand we are borrowing for reasons, but also because borrowing will make the fellowship even better. 4 | All in all, borrowing money from your friends is not only a test about whether your friendship is countable, but also a method to deepen your relationship. 5 | Only we can be thoughtful, be mutual understanding, and our money is under our budget, as well as we can trust each other, we can deepen our existing friendship and creat new friendship. 6 | All as above, borrowing money from friends not only produces controdctions about returning the money, but also make us lose face. 7 | Although, a bit help and return in time won't do much, but borrowing will become a habit. 8 | If you are getting used to borrowing again and again, it would eventually hurt your friends and yourself. 9 | To sum up,a real friendship will not generate enmity. 10 | Lending money to friends and helping him from troubles will also improve the friendship. 11 | The first thing to know is that real friendship will not be influenced if borrowing money from a friend. 12 | The second thing is that a true friend will try his utmost to let you perceive his sincereness of appreciating the companionship. 13 | It is not only because the real fellowship doesn't be fragile by money, but also doing tough friends a favor can deepen friendship. 14 | Furthermore, the companionship not only represents the emotional connection of two persons, but also contains the companionship of communal experience and growth. 15 | There is a old Chinese saying“ a friend in need is a friend indeed”. 16 | The precious friendship is as firm as rocks. 17 | it will make both sides feel uncomfortable ,which gonna hurt the friendship of each other 18 | In summary, the real friendship would not be broken by money, and borrowing money from friends will not harm the friendship, but deepen friendship. 19 | not only because true friendship will not be destroyed by money, but also this kind of behavior which means helping each other can only strengthen friendship. 20 | To sum up, the true friendship will not be injured by money. 21 | Borrowing money from friends not only won't be an injury to the friendship, but also deepen the friendship. 22 | To summarise, real friendship won't be stoped by money. 23 | Helping friends to over come difficulties will also make the relationship much closer. 24 | In a word, I think that friends may disagree each other on when to repay money on the one hand,and that the person who borrows money will lose face on the other hand. 25 | There can't be a gap between true friends, to the contract, it will develop the friendship when you help your friend who is in difficulty. 26 | It won't be broken by money within true friendship. 27 | because of the fact that friendship is much more signifcant than money. 28 | In conclusion, true fellowship will not split the connection between friends, and it will lead to a more rigid relation. 29 | In summary, it's a reasonable behavior to borrow money mutually between friends if their friendship is built on the trust, lending money to friends so that they can tide over difficulties and even achieve his career goal will absolutely cement friendship rather than impair it. 30 | To sum up, money is disable to endorse real friendship. 31 | Caring and helping between friends is a great promotion to the consistent friendliness. 32 | It is not a challenge for true friendship, and it can even enhance the friendship. 33 | To sum up, borrowing money from friends will not only lose face,but also cause dispute. 34 | In short, true frienship won't cause problems because of the money, borrow money can actually increase friendship. 35 | In conclusion, delaying repaying may cause that friends doubt about your moral quality, and borrowing money may also cause the inequality between friends. 36 | Borrowing money from friends not only isn't an injury to friendship, but also develop it. 37 | it is not only because repaying money will lead to a contraditory but also friendship will be disappeared on account of face problem . 38 | whatever,an un sophisticated friendship between friends is always the most valuable thing. 39 | From what I have stated above, borrowing money from friends will not only create bitterness of friendship but also damage the equality of the relationship between two friends,which will keep friends at a distance and do harm to the friendship. 40 | Because real friends will not be separated by money, but become closer. 41 | As I conveyed above,borrowing money from friends can cause conflict when it comes to payoff the debt. 42 | Futhermore,it hurts one's feeling to borrow to some extent. 43 | For what have been disscussed above, i think borrowing money can strengthen the trust between friends, resulting improving their friendship. 44 | In summary, ture friendship will not be harmed by borrowing money and even can be enhanced by it. 45 | -------------------------------------------------------------------------------- /model/20171110/train/TSTFile.txt: -------------------------------------------------------------------------------- 1 | My reasons and examples are given below. 2 | There are some reasons and examples given below to illustrate my viewpoint. 3 | I'm going to elaborate my point in the following paragraphs. 4 | Here are some reasons to name. 5 | There are some reasons and examples to illustrate my opinion. 6 | What about the other reasons? 7 | There are some reasons and examples to illustrate my point of view. 8 | My reasons and examples are as followed. 9 | and this essay will develop in two parts to prove my views. 10 | Here are some reasons. 11 | My viewpoint can be well illustrated by the following reasons and examples. 12 | I'm going to present two typical cases to prove the validity of my viewpoint. 13 | The reasons are as follows. 14 | I will illustrate my point of view by the following reasons. 15 | I will give you an example of my friend. 16 | there are some reasons and examples to illustrate my point of view. 17 | My view point is based on the following reasons. 18 | -------------------------------------------------------------------------------- /nltkTest/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhouM1118/NLPForDiscourseStructures/37d86f732949f917a14741e4aec04574898d79f6/nltkTest/__init__.py -------------------------------------------------------------------------------- /nltkTest/__pycache__/__init__.cpython-35.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhouM1118/NLPForDiscourseStructures/37d86f732949f917a14741e4aec04574898d79f6/nltkTest/__pycache__/__init__.cpython-35.pyc -------------------------------------------------------------------------------- /nltkTest/nltkDemo.py: -------------------------------------------------------------------------------- 1 | import nltk 2 | import config 3 | 4 | configs = config.configs 5 | 6 | nltk.data.path.append('/Users/ming.zhou/NLP/Tools/nltk/nltk_data') 7 | 8 | # 分割 9 | sentence = "My father had borrowed some money to one of his friend Wang two years ago, who was going to buy a new room that time." 10 | tokens1 = nltk.grammar.nonterminals(sentence) 11 | # print("len is ", len(tokens1)) 12 | print(tokens1) 13 | 14 | tokens = nltk.word_tokenize(sentence) 15 | print(tokens) 16 | 17 | # 词性标注 18 | tagged = nltk.pos_tag(tokens) 19 | print(tagged) 20 | i_1 = 0 21 | i_2 = 0 22 | # 判断时态 23 | for tag in tagged: 24 | if tag[1] not in configs['tense']: 25 | continue 26 | elif configs['tense'][tag[1]] == 1: 27 | print('1', tag[0], tag[1]) 28 | i_1 += 1 29 | elif configs['tense'][tag[1]] == 2: 30 | print('2', tag[0], tag[1]) 31 | i_2 += 1 32 | print(1) if i_1 >= i_2 else print(2) 33 | 34 | indicators = configs['indicators'] 35 | indicatorsSet = set() 36 | 37 | for i in indicators: 38 | indicatorsSet.add(i) 39 | 40 | print(len(indicators)) 41 | print(len(indicatorsSet)) 42 | 43 | # 构建分析树 44 | # entities = nltk.chunk.ne_chunk(tagged) 45 | # print(entities) 46 | # print(entities.height()) 47 | 48 | #分句 49 | # sent_tokenizer = nltk.data.load('tokenizers/punkt/english.pickle') 50 | # paragraph = """In most cases, borrowing money from others is an injury to our relationship. However, is it still right under the condition that the man who ask you for money is your friend? This question triggers an interesting debate. As far as I am concerned, borrowing money from freinds will not damage our friendship. My reasons and examples are given below.""" 51 | # paragraphTag = """In most cases, borrowing money from others is an injury to our relationship. However, is it still right under the condition that the man who ask you for money is your friend? This question triggers an interesting debate. As far as I am concerned, borrowing money from freinds will not damage our friendship.My reasons and examples are given below.""" 52 | # sentences = sent_tokenizer.tokenize(paragraph) 53 | # import re 54 | # sentencesTag = re.split(r'(<[A-Z]{2,4}>)', paragraphTag) 55 | # result = [] 56 | # print(sentencesTag) 57 | # for index in range(len(sentencesTag)): 58 | # # if s != "": 59 | # print("index[", index, "]: ", sentencesTag[index]) 60 | # if sentencesTag[index] == "" or index % 2 == 0: 61 | # continue 62 | # else: 63 | # result.append(sentencesTag[index]) 64 | # 65 | # print(result) -------------------------------------------------------------------------------- /nltkTest/nltkDemo2.py: -------------------------------------------------------------------------------- 1 | import nltk 2 | from nltk.corpus import treebank 3 | nltk.data.path.append('/Users/ming.zhou/NLP/Tools/nltk/nltk_data') 4 | 5 | # 分割 6 | sentence = "They desert the treasure in the desert." 7 | tokens = nltk.word_tokenize(sentence) 8 | print(tokens) 9 | 10 | # 词性标注 11 | tagged = nltk.pos_tag(tokens) 12 | print(tagged) 13 | 14 | entities = nltk.chunk.ne_chunk(tagged) 15 | print(entities) 16 | print(entities.height()) 17 | #entities.draw() 18 | 19 | t = treebank.parsed_sents('wsj_0001.mrg')[0] 20 | print(t) 21 | print(type(t)) 22 | # t.draw() 23 | 24 | from nltk.grammar import PCFG, induce_pcfg, toy_pcfg1, toy_pcfg2 25 | from nltk.parse import pchart 26 | 27 | grammar = toy_pcfg2 28 | parser = pchart.InsideChartParser(grammar) 29 | tokens = "Jack saw Bob with my cookie".split() 30 | t1 = parser.parse(tokens) 31 | # print(next(t1).height()) 32 | # next(t1).draw() 33 | # print(type(t1)) 34 | for t in parser.parse(tokens): 35 | print(t.height()) 36 | print(type(t)) 37 | # print(t.draw()) -------------------------------------------------------------------------------- /nltkTest/nltkDemo3.py: -------------------------------------------------------------------------------- 1 | import openpyxl 2 | import config 3 | configs = config.configs 4 | 5 | writeBook = openpyxl.load_workbook(configs['extractFeaturesPath']) 6 | writeSheet = writeBook.active 7 | 8 | for i in range(writeSheet.max_row - 1): 9 | punctuation = writeSheet.cell(row = i + 2, column = 7).value 10 | tag = 0 11 | if punctuation in configs['punctuation']: 12 | tag = configs['punctuation'][punctuation] 13 | writeSheet['G' + str(i + 2)] = tag 14 | print('index[', i + 2, ']', punctuation, ',tag=', tag) 15 | 16 | writeBook.save(configs['extractFeaturesPath']) -------------------------------------------------------------------------------- /preprocessing/DataNormalize.py: -------------------------------------------------------------------------------- 1 | import math 2 | 3 | 4 | class DataNormalize(object): 5 | 6 | @staticmethod 7 | def normalize_feature_by_sigmoid(feature_vector): 8 | """ 9 | 归一化处理，使用sigmoid函数 10 | sigmoid函数做归一主要是把两边的一些噪声数据拉回来，不要让噪声数据影响模型效果， 11 | 而我们是自己提取的特征，已经经过了预处理，没有很多噪声数据 12 | 这就是在这种情况下使用sigmoid函数准确率低的原因 13 | :param feature_vector: 特征向量 14 | :return: 归一化后的特征向量 15 | """ 16 | normalize_feature_vector = [] 17 | for feature in feature_vector: 18 | normalize_feature_vector.append(1.0 / (1 + math.exp(-float(feature)))) 19 | return normalize_feature_vector 20 | 21 | @staticmethod 22 | def normalize_feature_by_maxmin(feature_vector): 23 | """ 24 | 归一化处理，使用(0,1)标准化 25 | :param feature_vector: 特征向量 26 | :return: 归一化后的特征向量 27 | """ 28 | normalize_feature_vector = [] 29 | max_num = max(feature_vector) 30 | min_num = min(feature_vector) 31 | for feature in feature_vector: 32 | normalize_feature_vector.append((feature - min_num) / (max_num - min_num)) 33 | return normalize_feature_vector 34 | -------------------------------------------------------------------------------- /preprocessing/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZhouM1118/NLPForDiscourseStructures/37d86f732949f917a14741e4aec04574898d79f6/preprocessing/__init__.py -------------------------------------------------------------------------------- /result/DecisionTreeResult.text: -------------------------------------------------------------------------------- 1 | 0.192488262911 2 | test_Y: 3 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 4 | Y_pred: 5 | [ 1 1 1 2 1 1 1 5 1 1 1 2 5 1 1 1 1 1 1 1 1 13 1 5 5 6 | 5 1 5 5 5 1 5 5 5 1 5 5 5 1 1 13 1 1 6 1 1 1 5 1 1 7 | 1 6 1 1 1 1 1 1 1 1 5 1 1 5 1 1 1 1 1 1 1 1 1 1 1 8 | 1 1 1 1 5 1 2 1 1 1 6 1 1 1 6 1 1 1 1 5 1 1 1 2 1 9 | 1 1 1 1 1 1 1 1 1 6 1 1 5 2 1 1 1 1 1 1 1 1 2 1 1 10 | 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 11 | 1 1 1 1 1 1 6 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 12 | 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 13 | 1 1 1 1 1 5 1 1 1 1 1 1 1] 14 | test_Y len is 213Y_pred len is 213 15 | [('5-1', 48), ('6-1', 28), ('4-1', 20), ('12-1', 16), ('10-1', 11), ('11-1', 11), ('9-1', 9), ('2-1', 8), ('7-1', 7), ('5-6', 2), ('5-2', 2), ('3-1', 2), ('1-2', 2), ('9-2', 1), ('4-2', 1), ('4-13', 1), ('4-5', 1), ('11-5', 1), ('10-2', 1)] -------------------------------------------------------------------------------- /result/DecisionTreeResult20171114.text: -------------------------------------------------------------------------------- 1 | 0.37558685446 2 | test_Y: 3 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 4 | Y_pred: 5 | [ 4 12 1 2 1 4 4 5 3 4 4 4 5 4 4 4 4 9 9 11 13 13 4 5 5 6 | 5 4 5 5 5 9 5 5 5 9 5 5 5 1 4 13 4 4 6 6 13 13 4 4 3 7 | 9 6 9 13 13 1 2 1 4 4 5 3 4 5 3 8 13 13 9 9 12 13 13 12 2 8 | 1 4 4 3 5 5 3 4 4 4 6 12 12 12 6 8 13 9 10 10 13 13 1 2 1 9 | 4 3 4 4 4 4 6 8 8 6 13 4 5 4 4 4 13 12 8 8 9 9 10 12 13 10 | 11 12 13 1 1 3 3 4 4 4 4 3 4 4 13 3 4 4 4 4 9 9 13 13 13 11 | 13 2 3 3 3 4 6 4 4 4 4 4 4 4 4 3 3 4 4 9 9 9 9 13 1 12 | 2 4 3 12 6 8 13 8 4 4 3 4 3 9 9 10 12 12 12 2 2 2 4 4 4 13 | 8 13 13 13 4 5 4 9 9 13 12 13 13] 14 | test_Y len is 213Y_pred len is 213 15 | [('5-4', 36), ('5-3', 13), ('12-13', 9), ('6-13', 8), ('10-9', 7), ('11-13', 6), ('6-8', 6), ('1-2', 6), ('6-4', 5), ('6-12', 4), ('2-4', 4), ('7-8', 3), ('7-13', 3), ('4-9', 3), ('11-12', 3), ('5-6', 2), ('4-13', 2), ('10-13', 2), ('6-3', 2), ('1-4', 1), ('2-3', 1), ('1-9', 1), ('11-10', 1), ('7-12', 1), ('11-4', 1), ('12-11', 1), ('2-1', 1), ('4-3', 1)] -------------------------------------------------------------------------------- /result/ExtraTreesCrossValidationResult20171115.text: -------------------------------------------------------------------------------- 1 | 0.888178913738 2 | test_Y: 3 | [13, 7, 5, 13, 2, 6, 6, 1, 2, 1, 12, 1, 5, 5, 4, 7, 12, 4, 5, 6, 6, 10, 10, 11, 6, 4, 4, 7, 5, 4, 6, 6, 12, 6, 5, 1, 6, 6, 5, 6, 5, 5, 13, 6, 5, 12, 6, 4, 1, 10, 5, 4, 6, 11, 1, 4, 5, 10, 5, 11, 7, 6, 5, 6, 5, 11, 6, 5, 1, 10, 4, 13, 1, 5, 11, 5, 10, 7, 6, 13, 4, 13, 6, 7, 2, 9, 3, 11, 1, 1, 10, 2, 4, 1, 6, 9, 6, 1, 10, 2, 1, 5, 5, 5, 5, 2, 5, 4, 1, 4, 2, 4, 5, 1, 9, 2, 9, 1, 7, 6, 7, 6, 10, 6, 6, 5, 1, 1, 13, 1, 4, 12, 11, 1, 5, 9, 12, 7, 5, 12, 12, 12, 12, 5, 10, 6, 6, 10, 4, 7, 5, 7, 1, 10, 9, 5, 6, 1, 10, 5, 7, 5, 6, 5, 9, 4, 9, 6, 1, 12, 11, 5, 6, 4, 5, 10, 12, 10, 10, 1, 5, 13, 5, 6, 12, 5, 4, 2, 7, 5, 12, 9, 6, 6, 6, 6, 4, 5, 6, 6, 4, 4, 8, 13, 13, 5, 5, 1, 5, 6, 6, 1, 5, 6, 6, 1, 5, 5, 11, 13, 5, 6, 6, 6, 2, 5, 5, 4, 9, 10, 7, 10, 6, 6, 1, 1, 12, 4, 5, 12, 10, 6, 6, 5, 12, 1, 4, 7, 7, 12, 5, 6, 2, 5, 13, 10, 5, 2, 13, 2, 1, 5, 7, 6, 12, 13, 1, 5, 5, 13, 10, 5, 9, 2, 13, 5, 10, 4, 6, 6, 7, 7, 6, 12, 4, 5, 4, 6, 9, 6, 3, 6, 7, 1, 11, 6, 1, 5, 5, 10, 5, 6, 6, 2, 2, 9, 1, 7, 2, 13, 9, 5, 6] 4 | Y_pred: 5 | [13 7 5 5 1 6 6 1 2 1 12 1 5 5 5 7 12 4 5 6 5 10 10 11 6 6 | 4 4 5 5 4 6 6 12 6 5 1 6 6 5 6 5 5 13 6 5 5 6 4 1 9 7 | 5 4 6 11 1 5 5 10 5 12 7 6 5 6 5 12 6 5 1 10 1 13 1 5 5 8 | 5 10 7 6 13 4 13 6 7 2 9 3 11 1 1 10 2 5 1 6 9 6 1 10 2 9 | 1 5 5 5 5 2 5 4 1 4 2 4 5 1 9 2 9 1 7 6 7 6 10 6 6 10 | 5 1 1 13 1 4 12 11 1 5 9 12 6 5 12 12 5 12 5 10 6 6 10 4 7 11 | 5 7 1 10 9 5 1 1 10 6 7 5 6 5 9 4 9 6 1 10 11 5 5 4 5 12 | 9 12 10 10 1 5 13 5 6 12 5 5 2 7 5 12 9 6 6 6 6 4 5 6 6 13 | 4 4 7 13 13 5 5 1 5 6 6 2 5 6 6 1 5 6 11 13 5 6 6 6 2 14 | 5 5 4 9 10 7 10 5 6 11 1 12 5 5 11 10 6 6 5 4 1 5 6 7 12 15 | 5 6 2 5 13 10 5 2 13 2 1 5 7 6 12 13 1 5 5 13 10 5 9 2 5 16 | 7 10 4 6 6 7 7 6 12 4 5 4 6 9 6 3 6 7 1 11 6 1 4 5 10 17 | 5 6 6 2 2 9 1 7 2 13 9 5 7] 18 | test_Y len is 313Y_pred len is 313 19 | [('4-5', 6), ('6-5', 3), ('11-12', 2), ('5-6', 2), ('12-5', 2), ('7-6', 2), ('13-5', 2), ('10-9', 2), ('4-1', 1), ('12-10', 1), ('1-2', 1), ('7-5', 1), ('5-4', 1), ('1-11', 1), ('11-5', 1), ('6-7', 1), ('8-7', 1), ('6-1', 1), ('2-1', 1), ('12-4', 1), ('12-11', 1), ('5-7', 1)] 20 | 0.897763578275 21 | test_Y: 22 | [13, 7, 5, 13, 2, 6, 6, 1, 2, 1, 12, 1, 5, 5, 4, 7, 12, 4, 5, 6, 6, 10, 10, 11, 6, 4, 4, 7, 5, 4, 6, 6, 12, 6, 5, 1, 6, 6, 5, 6, 5, 5, 13, 6, 5, 12, 6, 4, 1, 10, 5, 4, 6, 11, 1, 4, 5, 10, 5, 11, 7, 6, 5, 6, 5, 11, 6, 5, 1, 10, 4, 13, 1, 5, 11, 5, 10, 7, 6, 13, 4, 13, 6, 7, 2, 9, 3, 11, 1, 1, 10, 2, 4, 1, 6, 9, 6, 1, 10, 2, 1, 5, 5, 5, 5, 2, 5, 4, 1, 4, 2, 4, 5, 1, 9, 2, 9, 1, 7, 6, 7, 6, 10, 6, 6, 5, 1, 1, 13, 1, 4, 12, 11, 1, 5, 9, 12, 7, 5, 12, 12, 12, 12, 5, 10, 6, 6, 10, 4, 7, 5, 7, 1, 10, 9, 5, 6, 1, 10, 5, 7, 5, 6, 5, 9, 4, 9, 6, 1, 12, 11, 5, 6, 4, 5, 10, 12, 10, 10, 1, 5, 13, 5, 6, 12, 5, 4, 2, 7, 5, 12, 9, 6, 6, 6, 6, 4, 5, 6, 6, 4, 4, 8, 13, 13, 5, 5, 1, 5, 6, 6, 1, 5, 6, 6, 1, 5, 5, 11, 13, 5, 6, 6, 6, 2, 5, 5, 4, 9, 10, 7, 10, 6, 6, 1, 1, 12, 4, 5, 12, 10, 6, 6, 5, 12, 1, 4, 7, 7, 12, 5, 6, 2, 5, 13, 10, 5, 2, 13, 2, 1, 5, 7, 6, 12, 13, 1, 5, 5, 13, 10, 5, 9, 2, 13, 5, 10, 4, 6, 6, 7, 7, 6, 12, 4, 5, 4, 6, 9, 6, 3, 6, 7, 1, 11, 6, 1, 5, 5, 10, 5, 6, 6, 2, 2, 9, 1, 7, 2, 13, 9, 5, 6] 23 | Y_pred: 24 | [13 7 5 13 1 6 6 1 1 1 12 1 5 5 12 7 12 4 5 6 6 10 10 11 6 25 | 4 4 7 5 4 6 6 12 6 5 1 6 6 5 6 5 4 13 6 5 5 6 4 1 10 26 | 5 4 6 11 1 4 5 10 5 11 7 6 5 6 5 12 6 5 1 10 2 13 1 5 13 27 | 5 10 7 6 13 4 13 6 7 1 10 3 11 1 1 10 2 4 1 6 9 6 1 10 2 28 | 1 5 5 5 5 2 5 4 1 4 2 4 5 1 9 2 10 1 5 6 5 6 10 6 6 29 | 5 2 1 13 1 4 10 11 1 5 9 12 7 5 12 12 11 12 5 10 6 6 10 4 7 30 | 5 7 1 10 9 5 2 1 10 5 7 5 6 5 9 4 10 6 1 12 11 5 12 4 5 31 | 10 12 10 10 1 5 13 5 6 12 5 4 2 7 5 12 9 6 6 6 6 4 5 5 6 32 | 4 4 5 13 13 5 5 1 5 6 6 2 5 6 6 1 5 5 11 13 5 6 6 6 2 33 | 5 5 4 9 10 6 10 6 6 10 1 12 4 5 11 10 6 6 5 4 1 4 6 7 12 34 | 5 6 1 5 13 10 5 2 13 2 1 5 7 6 12 13 1 5 5 4 10 5 9 2 6 35 | 7 10 4 6 6 7 7 6 12 4 5 4 6 9 6 3 6 7 1 11 5 1 5 5 10 36 | 5 6 6 2 2 9 1 7 2 13 9 5 6] 37 | test_Y len is 313Y_pred len is 313 38 | [('2-1', 4), ('9-10', 3), ('7-6', 2), ('7-5', 2), ('1-2', 2), ('12-11', 2), ('6-5', 2), ('12-10', 1), ('11-13', 1), ('13-4', 1), ('6-2', 1), ('11-12', 1), ('5-7', 1), ('8-5', 1), ('1-10', 1), ('12-4', 1), ('13-6', 1), ('4-2', 1), ('12-5', 1), ('5-4', 1), ('6-12', 1), ('4-12', 1)] 39 | 0.923322683706 40 | test_Y: 41 | [13, 7, 5, 13, 2, 6, 6, 1, 2, 1, 12, 1, 5, 5, 4, 7, 12, 4, 5, 6, 6, 10, 10, 11, 6, 4, 4, 7, 5, 4, 6, 6, 12, 6, 5, 1, 6, 6, 5, 6, 5, 5, 13, 6, 5, 12, 6, 4, 1, 10, 5, 4, 6, 11, 1, 4, 5, 10, 5, 11, 7, 6, 5, 6, 5, 11, 6, 5, 1, 10, 4, 13, 1, 5, 11, 5, 10, 7, 6, 13, 4, 13, 6, 7, 2, 9, 3, 11, 1, 1, 10, 2, 4, 1, 6, 9, 6, 1, 10, 2, 1, 5, 5, 5, 5, 2, 5, 4, 1, 4, 2, 4, 5, 1, 9, 2, 9, 1, 7, 6, 7, 6, 10, 6, 6, 5, 1, 1, 13, 1, 4, 12, 11, 1, 5, 9, 12, 7, 5, 12, 12, 12, 12, 5, 10, 6, 6, 10, 4, 7, 5, 7, 1, 10, 9, 5, 6, 1, 10, 5, 7, 5, 6, 5, 9, 4, 9, 6, 1, 12, 11, 5, 6, 4, 5, 10, 12, 10, 10, 1, 5, 13, 5, 6, 12, 5, 4, 2, 7, 5, 12, 9, 6, 6, 6, 6, 4, 5, 6, 6, 4, 4, 8, 13, 13, 5, 5, 1, 5, 6, 6, 1, 5, 6, 6, 1, 5, 5, 11, 13, 5, 6, 6, 6, 2, 5, 5, 4, 9, 10, 7, 10, 6, 6, 1, 1, 12, 4, 5, 12, 10, 6, 6, 5, 12, 1, 4, 7, 7, 12, 5, 6, 2, 5, 13, 10, 5, 2, 13, 2, 1, 5, 7, 6, 12, 13, 1, 5, 5, 13, 10, 5, 9, 2, 13, 5, 10, 4, 6, 6, 7, 7, 6, 12, 4, 5, 4, 6, 9, 6, 3, 6, 7, 1, 11, 6, 1, 5, 5, 10, 5, 6, 6, 2, 2, 9, 1, 7, 2, 13, 9, 5, 6] 42 | Y_pred: 43 | [13 7 5 13 1 6 6 1 2 1 12 1 5 5 4 7 10 4 5 6 6 9 10 11 6 44 | 4 4 7 5 4 6 6 12 6 5 1 6 6 5 6 5 5 13 6 5 5 6 4 1 10 45 | 5 4 6 11 1 4 5 10 5 12 7 6 5 6 5 12 6 5 1 12 4 13 1 5 12 46 | 5 10 7 6 13 4 13 6 7 2 9 3 11 1 1 10 2 4 1 6 9 6 1 10 2 47 | 1 5 5 5 5 2 5 4 1 4 2 4 5 1 9 2 9 1 5 6 7 6 10 6 6 48 | 5 1 1 13 1 4 12 11 1 5 9 12 7 5 12 12 11 12 5 10 6 6 10 4 7 49 | 5 7 1 10 9 5 4 1 9 5 7 5 6 5 9 4 9 6 1 10 12 5 5 4 5 50 | 10 12 10 10 1 5 13 5 6 12 5 5 2 7 5 12 9 6 6 6 6 4 5 6 5 51 | 4 4 7 13 13 5 5 1 5 6 6 1 5 6 6 1 5 5 11 13 5 6 6 6 2 52 | 5 5 4 9 10 7 10 6 6 11 1 12 4 5 11 10 6 6 5 7 1 4 7 7 12 53 | 5 6 2 5 13 10 5 2 4 2 1 5 7 6 12 13 1 5 5 13 10 5 9 2 3 54 | 7 10 4 6 6 7 7 6 12 4 5 4 6 9 6 3 6 7 1 11 6 1 5 5 10 55 | 5 6 6 2 2 9 1 7 2 13 9 5 6] 56 | test_Y len is 313Y_pred len is 313 57 | [('11-12', 4), ('12-11', 2), ('12-10', 2), ('10-9', 2), ('6-5', 2), ('12-5', 1), ('10-12', 1), ('5-7', 1), ('8-7', 1), ('13-4', 1), ('12-7', 1), ('6-4', 1), ('1-11', 1), ('4-5', 1), ('2-1', 1), ('7-5', 1), ('13-3', 1)] 58 | 0.894568690096 59 | test_Y: 60 | [13, 7, 5, 13, 2, 6, 6, 1, 2, 1, 12, 1, 5, 5, 4, 7, 12, 4, 5, 6, 6, 10, 10, 11, 6, 4, 4, 7, 5, 4, 6, 6, 12, 6, 5, 1, 6, 6, 5, 6, 5, 5, 13, 6, 5, 12, 6, 4, 1, 10, 5, 4, 6, 11, 1, 4, 5, 10, 5, 11, 7, 6, 5, 6, 5, 11, 6, 5, 1, 10, 4, 13, 1, 5, 11, 5, 10, 7, 6, 13, 4, 13, 6, 7, 2, 9, 3, 11, 1, 1, 10, 2, 4, 1, 6, 9, 6, 1, 10, 2, 1, 5, 5, 5, 5, 2, 5, 4, 1, 4, 2, 4, 5, 1, 9, 2, 9, 1, 7, 6, 7, 6, 10, 6, 6, 5, 1, 1, 13, 1, 4, 12, 11, 1, 5, 9, 12, 7, 5, 12, 12, 12, 12, 5, 10, 6, 6, 10, 4, 7, 5, 7, 1, 10, 9, 5, 6, 1, 10, 5, 7, 5, 6, 5, 9, 4, 9, 6, 1, 12, 11, 5, 6, 4, 5, 10, 12, 10, 10, 1, 5, 13, 5, 6, 12, 5, 4, 2, 7, 5, 12, 9, 6, 6, 6, 6, 4, 5, 6, 6, 4, 4, 8, 13, 13, 5, 5, 1, 5, 6, 6, 1, 5, 6, 6, 1, 5, 5, 11, 13, 5, 6, 6, 6, 2, 5, 5, 4, 9, 10, 7, 10, 6, 6, 1, 1, 12, 4, 5, 12, 10, 6, 6, 5, 12, 1, 4, 7, 7, 12, 5, 6, 2, 5, 13, 10, 5, 2, 13, 2, 1, 5, 7, 6, 12, 13, 1, 5, 5, 13, 10, 5, 9, 2, 13, 5, 10, 4, 6, 6, 7, 7, 6, 12, 4, 5, 4, 6, 9, 6, 3, 6, 7, 1, 11, 6, 1, 5, 5, 10, 5, 6, 6, 2, 2, 9, 1, 7, 2, 13, 9, 5, 6] 61 | Y_pred: 62 | [13 7 5 1 1 5 6 1 2 1 12 1 5 5 4 7 12 4 5 6 5 10 10 11 6 63 | 4 4 7 5 4 6 6 12 6 5 1 6 6 5 6 5 5 13 6 5 12 6 4 1 10 64 | 5 4 6 11 1 4 5 10 5 11 7 6 6 6 5 12 6 5 1 12 3 13 1 5 11 65 | 5 10 7 5 13 4 13 6 7 2 9 3 11 1 1 10 2 4 3 6 9 6 1 10 2 66 | 1 6 5 5 5 2 5 4 1 4 2 4 5 1 9 2 9 1 7 6 7 6 10 6 6 67 | 5 1 1 13 1 4 12 11 1 5 9 12 6 5 12 12 10 12 5 10 6 6 10 4 7 68 | 5 7 1 10 9 5 2 1 10 5 4 5 6 5 9 4 9 6 1 10 11 5 4 4 5 69 | 10 12 10 10 1 5 13 5 6 12 5 5 2 7 5 12 9 5 6 6 6 4 5 5 6 70 | 4 4 7 13 13 5 5 1 4 6 6 1 5 6 6 1 5 5 11 13 5 6 6 6 2 71 | 5 5 4 9 10 5 10 6 6 11 1 12 5 5 11 10 6 6 5 5 1 4 7 7 12 72 | 5 6 2 5 13 10 5 2 4 2 1 6 7 5 12 13 1 5 5 13 10 5 9 2 6 73 | 7 10 4 6 6 7 7 6 12 4 5 4 6 9 6 3 6 7 1 11 6 1 5 4 10 74 | 5 6 6 2 2 9 1 7 2 13 9 5 6] 75 | test_Y len is 313Y_pred len is 313 76 | [('6-5', 6), ('5-6', 3), ('12-10', 2), ('4-5', 2), ('5-4', 2), ('8-7', 1), ('7-5', 1), ('5-7', 1), ('6-2', 1), ('2-1', 1), ('13-6', 1), ('7-4', 1), ('13-4', 1), ('4-3', 1), ('10-12', 1), ('12-5', 1), ('11-12', 1), ('1-3', 1), ('6-4', 1), ('7-6', 1), ('13-1', 1), ('12-11', 1), ('1-11', 1)] 77 | -------------------------------------------------------------------------------- /result/ExtraTreesCrossValidationResult2017111502.text: -------------------------------------------------------------------------------- 1 | 0.908653846154 2 | test_Y: 3 | [3, 5, 6, 13, 1, 11, 6, 1, 1, 5, 4, 13, 12, 6, 4, 5, 11, 6, 13, 1, 12, 9, 6, 6, 2, 11, 5, 6, 5, 1, 6, 9, 2, 10, 1, 6, 7, 6, 7, 4, 11, 7, 1, 10, 6, 4, 5, 12, 5, 12, 6, 11, 4, 12, 12, 6, 12, 4, 5, 12, 12, 13, 6, 5, 1, 10, 1, 2, 4, 6, 1, 1, 5, 12, 1, 7, 12, 5, 7, 5, 1, 13, 7, 1, 7, 1, 2, 5, 7, 1, 6, 5, 5, 12, 6, 5, 5, 5, 6, 4, 1, 4, 2, 1, 5, 1, 4, 4, 9, 12, 10, 9, 6, 4, 11, 3, 4, 1, 5, 5, 12, 5, 6, 4, 12, 6, 5, 1, 6, 2, 11, 5, 9, 1, 6, 1, 3, 13, 5, 5, 13, 5, 7, 7, 1, 6, 6, 4, 9, 13, 10, 6, 5, 2, 6, 6, 11, 4, 5, 13, 1, 6, 6, 1, 1, 5, 12, 1, 7, 5, 9, 5, 6, 5, 5, 12, 2, 10, 13, 6, 12, 5, 10, 5, 4, 5, 5, 4, 5, 4, 6, 2, 9, 10, 7, 11, 1, 12, 4, 2, 13, 12, 1, 6, 5, 12, 9, 9] 4 | Y_pred: 5 | [ 3 5 6 13 1 11 6 1 1 5 4 13 12 6 4 5 11 6 13 1 12 9 6 6 2 6 | 11 5 6 6 1 6 9 1 10 1 6 7 6 7 4 11 7 1 10 6 4 5 12 5 11 7 | 6 11 5 12 12 6 12 4 5 12 12 13 6 5 1 10 1 2 4 6 1 1 5 12 1 8 | 7 12 5 7 5 1 13 7 1 5 1 1 5 7 1 6 5 5 12 6 5 6 5 6 4 9 | 1 4 1 1 5 1 4 4 9 12 10 9 6 4 11 3 4 1 5 5 12 5 6 4 10 10 | 6 5 13 6 2 11 5 9 1 6 1 3 13 5 5 13 5 6 7 1 6 6 4 9 13 11 | 10 5 5 2 6 6 11 4 5 13 1 6 6 1 1 5 12 1 7 5 9 5 6 5 5 12 | 12 1 10 13 6 12 6 10 12 4 5 5 4 5 4 7 1 9 10 7 11 1 10 4 2 13 | 13 11 1 6 5 12 9 9] 14 | test_Y len is 208Y_pred len is 208 15 | [('2-1', 5), ('5-6', 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index[4]0.924324324324 140 | index[5]0.956756756757 141 | index[6]0.956756756757 142 | index[7]0.945945945946 143 | index[8]0.962162162162 144 | index[9]0.983783783784 145 | 平均准确度：0.956756756757 146 | **********************step=70********************** 147 | index[0]0.978378378378 148 | index[1]0.940540540541 149 | index[2]0.962162162162 150 | index[3]0.978378378378 151 | index[4]0.918918918919 152 | index[5]0.962162162162 153 | index[6]0.956756756757 154 | index[7]0.951351351351 155 | index[8]0.956756756757 156 | index[9]0.994594594595 157 | 平均准确度：0.96 158 | **********************step=75********************** 159 | index[0]0.972972972973 160 | index[1]0.951351351351 161 | index[2]0.956756756757 162 | index[3]0.978378378378 163 | index[4]0.951351351351 164 | index[5]0.967567567568 165 | index[6]0.962162162162 166 | index[7]0.951351351351 167 | index[8]0.972972972973 168 | index[9]0.983783783784 169 | 平均准确度：0.964864864865 170 | **********************step=80********************** 171 | index[0]0.956756756757 172 | index[1]0.972972972973 173 | index[2]0.962162162162 174 | index[3]0.972972972973 175 | index[4]0.945945945946 176 | index[5]0.978378378378 177 | index[6]0.978378378378 178 | index[7]0.951351351351 179 | index[8]0.967567567568 180 | index[9]0.989189189189 181 | 平均准确度：0.967567567568 182 | **********************step=85********************** 183 | index[0]0.956756756757 184 | index[1]0.956756756757 185 | index[2]0.962162162162 186 | index[3]0.967567567568 187 | index[4]0.92972972973 188 | index[5]0.956756756757 189 | index[6]0.967567567568 190 | index[7]0.956756756757 191 | index[8]0.956756756757 192 | index[9]0.983783783784 193 | 平均准确度：0.959459459459 194 | **********************step=90********************** 195 | index[0]0.967567567568 196 | index[1]0.956756756757 197 | index[2]0.956756756757 198 | index[3]0.978378378378 199 | index[4]0.92972972973 200 | index[5]0.962162162162 201 | index[6]0.962162162162 202 | index[7]0.956756756757 203 | index[8]0.956756756757 204 | index[9]0.983783783784 205 | 平均准确度：0.961081081081 206 | **********************step=95********************** 207 | index[0]0.967567567568 208 | index[1]0.951351351351 209 | index[2]0.967567567568 210 | index[3]0.972972972973 211 | index[4]0.908108108108 212 | index[5]0.956756756757 213 | index[6]0.951351351351 214 | index[7]0.956756756757 215 | index[8]0.962162162162 216 | index[9]0.989189189189 217 | 平均准确度：0.958378378378 218 | **********************step=100********************** 219 | index[0]0.967567567568 220 | index[1]0.940540540541 221 | index[2]0.956756756757 222 | index[3]0.972972972973 223 | index[4]0.918918918919 224 | index[5]0.967567567568 225 | index[6]0.962162162162 226 | index[7]0.945945945946 227 | index[8]0.945945945946 228 | index[9]0.983783783784 229 | 平均准确度：0.956216216216 230 | 231 | 第一批数据作为训练集 232 | **********************step=10********************** 233 | index[0]0.904 234 | index[1]0.872 235 | index[2]0.928 236 | index[3]0.904 237 | index[4]0.864 238 | index[5]0.888 239 | index[6]0.944 240 | index[7]0.88 241 | index[8]0.92 242 | index[9]0.984 243 | 平均准确度：0.9088 244 | **********************step=15********************** 245 | index[0]0.928 246 | index[1]0.92 247 | index[2]0.96 248 | index[3]0.88 249 | index[4]0.928 250 | index[5]0.912 251 | index[6]0.92 252 | index[7]0.92 253 | index[8]0.936 254 | index[9]0.968 255 | 平均准确度：0.9272 256 | **********************step=20********************** 257 | index[0]0.912 258 | index[1]0.936 259 | index[2]0.952 260 | index[3]0.928 261 | index[4]0.944 262 | index[5]0.936 263 | index[6]0.944 264 | index[7]0.936 265 | index[8]0.936 266 | index[9]0.952 267 | 平均准确度：0.9376 268 | **********************step=25********************** 269 | index[0]0.944 270 | index[1]0.912 271 | index[2]0.952 272 | index[3]0.928 273 | index[4]0.968 274 | index[5]0.912 275 | index[6]0.944 276 | index[7]0.936 277 | index[8]0.968 278 | index[9]0.96 279 | 平均准确度：0.9424 280 | **********************step=30********************** 281 | index[0]0.912 282 | index[1]0.936 283 | index[2]0.944 284 | index[3]0.928 285 | index[4]0.96 286 | index[5]0.944 287 | index[6]0.944 288 | index[7]0.944 289 | index[8]0.936 290 | index[9]0.984 291 | 平均准确度：0.9432 292 | **********************step=35********************** 293 | index[0]0.928 294 | index[1]0.936 295 | index[2]0.96 296 | index[3]0.944 297 | index[4]0.944 298 | index[5]0.952 299 | index[6]0.952 300 | index[7]0.912 301 | index[8]0.936 302 | index[9]0.976 303 | 平均准确度：0.944 304 | **********************step=40********************** 305 | index[0]0.928 306 | index[1]0.944 307 | index[2]0.952 308 | index[3]0.944 309 | index[4]0.944 310 | index[5]0.944 311 | index[6]0.936 312 | index[7]0.928 313 | index[8]0.928 314 | index[9]0.96 315 | 平均准确度：0.9408 316 | **********************step=45********************** 317 | index[0]0.904 318 | index[1]0.928 319 | index[2]0.952 320 | index[3]0.928 321 | index[4]0.976 322 | index[5]0.952 323 | index[6]0.952 324 | index[7]0.944 325 | index[8]0.944 326 | index[9]0.968 327 | 平均准确度：0.9448 328 | **********************step=50********************** 329 | index[0]0.896 330 | index[1]0.912 331 | index[2]0.952 332 | index[3]0.944 333 | index[4]0.968 334 | index[5]0.96 335 | index[6]0.968 336 | index[7]0.944 337 | index[8]0.952 338 | index[9]0.968 339 | 平均准确度：0.9464 340 | **********************step=55********************** 341 | index[0]0.944 342 | index[1]0.952 343 | index[2]0.976 344 | index[3]0.928 345 | index[4]0.968 346 | index[5]0.952 347 | index[6]0.944 348 | index[7]0.936 349 | index[8]0.952 350 | index[9]0.976 351 | 平均准确度：0.9528 352 | **********************step=60********************** 353 | index[0]0.928 354 | index[1]0.936 355 | index[2]0.96 356 | index[3]0.92 357 | index[4]0.944 358 | index[5]0.928 359 | index[6]0.96 360 | index[7]0.944 361 | index[8]0.96 362 | index[9]0.968 363 | 平均准确度：0.9448 364 | **********************step=65********************** 365 | index[0]0.936 366 | index[1]0.944 367 | index[2]0.96 368 | index[3]0.944 369 | index[4]0.968 370 | index[5]0.936 371 | index[6]0.96 372 | index[7]0.936 373 | index[8]0.976 374 | index[9]0.968 375 | 平均准确度：0.9528 376 | **********************step=70********************** 377 | index[0]0.912 378 | index[1]0.952 379 | index[2]0.952 380 | index[3]0.952 381 | index[4]0.96 382 | index[5]0.936 383 | index[6]0.968 384 | index[7]0.944 385 | index[8]0.96 386 | index[9]0.976 387 | 平均准确度：0.9512 388 | **********************step=75********************** 389 | index[0]0.92 390 | index[1]0.928 391 | index[2]0.952 392 | index[3]0.952 393 | index[4]0.96 394 | index[5]0.952 395 | index[6]0.952 396 | index[7]0.928 397 | index[8]0.936 398 | index[9]0.976 399 | 平均准确度：0.9456 400 | **********************step=80********************** 401 | index[0]0.944 402 | index[1]0.936 403 | index[2]0.96 404 | index[3]0.952 405 | index[4]0.944 406 | index[5]0.944 407 | index[6]0.96 408 | index[7]0.944 409 | index[8]0.952 410 | index[9]0.976 411 | 平均准确度：0.9512 412 | **********************step=85********************** 413 | index[0]0.936 414 | index[1]0.944 415 | index[2]0.952 416 | index[3]0.96 417 | index[4]0.952 418 | index[5]0.952 419 | index[6]0.968 420 | index[7]0.936 421 | index[8]0.944 422 | index[9]0.976 423 | 平均准确度：0.952 424 | **********************step=90********************** 425 | index[0]0.928 426 | index[1]0.92 427 | index[2]0.96 428 | index[3]0.96 429 | index[4]0.968 430 | index[5]0.944 431 | index[6]0.96 432 | index[7]0.944 433 | index[8]0.944 434 | index[9]0.96 435 | 平均准确度：0.9488 436 | **********************step=95********************** 437 | index[0]0.968 438 | index[1]0.944 439 | index[2]0.96 440 | index[3]0.952 441 | index[4]0.952 442 | index[5]0.952 443 | index[6]0.968 444 | index[7]0.952 445 | index[8]0.96 446 | index[9]0.976 447 | 平均准确度：0.9584 448 | **********************step=100********************** 449 | index[0]0.936 450 | index[1]0.928 451 | index[2]0.96 452 | index[3]0.936 453 | index[4]0.976 454 | index[5]0.944 455 | index[6]0.968 456 | index[7]0.928 457 | index[8]0.96 458 | index[9]0.968 459 | 平均准确度：0.9504 460 | -------------------------------------------------------------------------------- /result/ExtraTreesPredictResult2017111501.text: -------------------------------------------------------------------------------- 1 | 0.713615023474 2 | test_Y: 3 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 4 | Y_pred: 5 | [11 12 1 1 1 3 4 5 5 5 6 4 5 5 5 6 5 9 10 12 11 13 4 5 5 6 | 5 4 5 5 5 10 10 10 10 12 12 9 11 1 2 4 5 5 5 6 4 6 4 5 5 7 | 10 6 11 11 11 1 1 1 2 4 5 6 4 5 6 6 6 4 9 10 12 12 11 11 1 8 | 1 2 4 5 5 5 5 6 4 6 6 6 6 6 6 6 7 9 10 12 11 11 1 1 1 9 | 2 1 4 5 4 6 6 5 6 6 7 4 5 5 5 6 6 6 7 7 9 10 10 12 12 10 | 11 11 12 1 1 2 3 4 5 5 5 6 5 5 5 5 5 5 4 5 9 10 10 12 11 11 | 11 1 1 2 2 3 2 4 5 5 6 5 5 5 5 5 5 5 5 10 10 9 12 11 1 12 | 2 4 6 4 6 5 6 6 4 4 5 5 5 9 10 12 12 11 12 1 2 2 4 5 5 13 | 5 6 7 6 4 5 5 10 10 10 12 11 11] 14 | test_Y len is 213Y_pred len is 213 15 | [('5-6', 7), ('12-11', 6), ('6-5', 6), ('5-4', 4), ('7-6', 3), ('5-10', 3), ('9-10', 3), ('5-2', 3), ('4-5', 2), ('6-7', 2), ('10-12', 2), ('2-1', 2), ('6-4', 2), ('1-2', 2), ('4-10', 2), ('11-12', 2), ('5-11', 1), ('7-4', 1), ('4-12', 1), ('5-3', 1), ('3-1', 1), ('4-1', 1), ('5-9', 1), ('2-3', 1), ('5-12', 1), ('1-11', 1)] 16 | -------------------------------------------------------------------------------- /result/ExtraTreesResult.text: -------------------------------------------------------------------------------- 1 | 0.384976525822 2 | test_Y: 3 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 4 | Y_pred: 5 | [11 12 1 1 1 1 1 5 6 5 4 2 5 5 6 6 5 2 5 12 11 1 1 1 1 6 | 5 1 5 5 5 1 1 9 1 11 12 11 11 1 1 1 1 4 6 6 6 6 1 4 5 7 | 1 6 12 11 13 1 1 1 1 1 1 6 4 5 6 6 1 4 1 11 1 12 5 5 1 8 | 1 1 4 2 1 5 2 5 4 2 6 5 6 6 6 1 6 9 2 2 11 11 1 1 1 9 | 1 1 1 4 1 6 1 5 6 6 6 1 5 5 5 5 6 6 5 6 1 2 4 9 12 10 | 11 11 12 1 1 1 1 1 1 5 5 1 1 4 4 2 2 1 1 4 4 2 6 11 11 11 | 11 1 1 1 2 1 1 1 5 5 5 4 5 6 1 6 6 1 4 1 2 6 11 11 1 12 | 1 1 6 5 6 5 6 6 1 5 5 1 1 1 2 1 9 4 12 1 2 1 2 1 1 13 | 6 6 6 6 4 1 6 10 4 9 1 12 11] 14 | test_Y len is 213Y_pred len is 213 15 | [('5-1', 23), ('4-1', 14), ('2-1', 9), ('5-6', 9), ('5-4', 7), ('6-5', 6), ('5-2', 5), ('12-11', 5), ('10-2', 4), ('9-1', 4), ('7-6', 3), ('12-9', 2), ('10-4', 2), ('7-1', 2), ('10-11', 2), ('11-5', 2), ('5-11', 2), ('12-1', 2), ('3-1', 2), ('9-2', 2), ('6-1', 2), ('4-2', 2), ('10-9', 1), ('4-11', 1), ('7-5', 1), ('5-9', 1), ('1-12', 1), ('12-13', 1), ('11-4', 1), ('10-6', 1), ('1-2', 1), ('9-6', 1), ('5-12', 1), ('9-10', 1), ('11-2', 1), ('10-5', 1), ('6-2', 1), ('11-12', 1), ('13-1', 1), ('9-4', 1), ('10-1', 1), ('7-4', 1)] -------------------------------------------------------------------------------- /result/ExtraTreesResult20171114.text: -------------------------------------------------------------------------------- 1 | 0.737089201878 2 | test_Y: 3 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 4 | Y_pred: 5 | [11 12 1 1 1 2 5 5 6 6 5 4 5 5 5 6 5 9 10 12 11 13 4 5 5 6 | 5 4 5 5 5 9 5 5 5 11 5 11 11 1 2 4 4 5 6 5 6 6 4 4 5 7 | 9 9 11 11 13 1 1 1 4 4 5 6 4 5 6 6 7 7 9 10 12 12 11 12 1 8 | 1 2 4 5 5 5 5 6 4 6 6 6 6 6 6 7 7 10 10 11 12 12 1 1 1 9 | 1 3 4 4 5 6 6 6 6 6 6 4 5 5 5 4 6 6 7 6 9 10 10 12 11 10 | 11 12 12 1 1 2 3 4 5 5 5 6 5 5 4 5 5 6 6 5 9 10 12 13 11 11 | 12 1 3 2 5 3 13 4 5 5 5 5 5 5 5 7 7 5 5 9 10 9 11 11 1 12 | 2 4 6 6 6 7 6 6 4 5 5 6 6 9 10 12 12 11 12 1 1 2 4 4 5 13 | 6 6 6 6 4 5 5 9 10 10 12 13 11] 14 | test_Y len is 213Y_pred len is 213 15 | [('5-6', 10), ('5-4', 5), ('12-11', 4), ('2-1', 3), ('6-5', 3), ('11-12', 3), ('4-5', 2), ('4-9', 2), ('9-10', 2), ('7-6', 2), ('10-12', 2), ('5-11', 2), ('5-7', 2), ('11-13', 2), ('4-11', 1), ('1-4', 1), ('6-7', 1), ('5-2', 1), ('10-11', 1), ('4-3', 1), ('5-13', 1), ('12-13', 1), ('5-3', 1), ('5-9', 1), ('6-4', 1), ('1-11', 1)]0.774647887324 16 | test_Y: 17 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 18 | Y_pred: 19 | [11 12 1 1 1 2 4 5 4 6 5 4 5 5 5 6 6 9 10 12 11 13 4 5 5 20 | 5 5 5 5 5 5 5 5 5 11 12 5 5 1 2 4 5 5 6 6 6 6 4 5 5 21 | 12 5 11 12 11 1 1 1 4 4 5 6 4 5 6 6 7 4 9 10 12 12 11 11 1 22 | 1 2 4 5 5 5 4 5 4 6 6 6 6 6 6 7 7 9 10 12 11 12 1 1 1 23 | 1 3 4 5 5 6 6 6 6 6 6 4 5 5 5 7 6 6 7 7 9 10 10 12 12 24 | 11 11 12 1 1 2 3 4 4 6 5 5 5 5 4 5 5 5 6 7 9 10 12 12 11 25 | 12 1 3 2 1 3 13 4 5 6 6 4 5 5 5 5 5 5 4 9 10 9 10 12 1 26 | 2 4 6 4 6 5 6 6 4 4 5 5 8 9 10 12 12 12 12 1 2 2 4 5 5 27 | 6 6 6 7 4 5 5 9 10 10 12 13 12] 28 | test_Y len is 213Y_pred len is 213 29 | [('5-6', 8), ('5-4', 6), ('2-1', 3), ('11-12', 3), ('6-5', 3), ('6-7', 2), ('10-12', 2), ('4-5', 2), ('5-13', 1), ('4-12', 1), ('4-11', 1), ('4-3', 1), ('5-8', 1), ('7-4', 1), ('7-6', 1), ('5-2', 1), ('9-10', 1), ('5-7', 1), ('12-11', 1), ('5-12', 1), ('1-4', 1), ('5-1', 1), ('1-11', 1), ('1-2', 1), ('11-13', 1), ('5-3', 1), ('6-4', 1)]0.741784037559 30 | test_Y: 31 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 32 | Y_pred: 33 | [11 12 1 2 1 3 4 5 5 6 5 4 5 5 5 5 5 9 10 12 11 13 4 5 5 34 | 5 4 5 5 5 9 5 5 5 12 12 9 11 1 2 4 4 5 6 6 6 5 4 5 5 35 | 9 5 12 11 11 1 1 1 2 4 5 6 4 5 6 5 6 6 9 10 12 12 13 12 1 36 | 1 1 4 5 5 5 6 6 4 6 6 6 6 6 6 6 6 9 10 12 11 12 1 1 1 37 | 2 1 4 5 6 6 6 6 6 6 6 4 5 5 6 6 6 7 7 6 9 10 10 12 12 38 | 11 12 12 1 1 2 3 4 5 6 6 5 5 5 4 5 5 6 5 6 9 9 10 11 11 39 | 12 1 3 1 1 3 13 4 5 4 6 4 5 5 5 5 6 5 5 9 9 9 12 11 1 40 | 2 4 6 6 6 6 6 6 4 4 5 5 8 9 10 12 12 11 12 1 1 2 4 5 5 41 | 6 6 6 6 4 5 5 9 10 10 12 12 11] 42 | test_Y len is 213Y_pred len is 213 43 | [('5-6', 11), ('7-6', 5), ('5-4', 4), ('12-11', 4), ('11-12', 4), ('2-1', 3), ('6-5', 3), ('10-12', 2), ('1-2', 2), ('5-1', 2), ('4-9', 2), ('10-9', 1), ('2-3', 1), ('3-1', 1), ('4-12', 1), ('5-11', 1), ('5-9', 1), ('11-13', 1), ('5-8', 1), ('5-13', 1), ('1-12', 1), ('5-12', 1), ('4-3', 1), ('5-3', 1)] -------------------------------------------------------------------------------- /result/ExtraTreesResult20171115.text: -------------------------------------------------------------------------------- 1 | 0.784037558685 2 | test_Y: 3 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 4 | Y_pred: 5 | [11 12 1 1 1 3 4 5 5 5 5 4 4 5 5 6 5 9 10 12 11 13 4 5 5 6 | 5 4 5 5 5 4 5 5 5 11 5 5 5 1 1 4 4 5 6 5 7 7 4 5 5 7 | 4 5 11 5 13 1 1 1 1 4 5 5 4 5 6 6 7 5 9 10 12 12 12 12 1 8 | 1 1 4 5 5 5 5 5 4 6 6 6 6 6 6 6 7 9 10 11 11 12 1 1 1 9 | 1 1 4 5 5 6 6 6 6 6 6 4 5 5 6 6 5 7 5 7 9 10 10 10 12 10 | 11 11 11 1 1 2 3 4 5 5 5 7 5 5 5 5 5 7 5 5 9 10 9 12 11 11 | 11 2 3 2 1 3 2 4 5 6 4 4 5 5 5 5 5 5 7 9 9 9 11 11 1 12 | 2 4 5 6 6 6 6 6 4 5 5 5 8 9 10 10 12 11 12 1 1 2 4 5 5 13 | 5 7 6 6 4 5 5 9 10 10 12 11 12] 14 | test_Y len is 213Y_pred len is 213 15 | [('6-5', 5), ('5-4', 4), ('2-1', 4), ('5-7', 3), ('11-12', 3), ('6-7', 3), ('12-11', 3), ('5-2', 2), ('7-5', 2), ('5-6', 2), ('4-3', 1), ('5-3', 1), ('4-5', 1), ('12-10', 1), ('4-11', 1), ('5-1', 1), ('7-6', 1), ('10-11', 1), ('12-5', 1), ('12-13', 1), ('5-8', 1), ('3-1', 1), ('2-3', 1), ('1-11', 1), ('10-9', 1)]0.75117370892 16 | test_Y: 17 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 18 | Y_pred: 19 | [11 12 1 2 1 2 4 5 4 6 5 4 5 5 5 5 5 9 10 12 11 13 4 5 5 20 | 5 4 5 5 5 9 9 5 10 4 12 12 11 1 2 4 5 4 5 6 6 6 4 5 5 21 | 9 10 13 11 13 2 1 1 4 4 5 5 4 5 6 6 6 6 9 10 12 12 11 11 1 22 | 1 2 4 5 5 5 7 7 4 6 5 6 6 6 6 6 6 9 10 12 11 12 1 2 2 23 | 2 1 4 5 5 6 6 5 6 6 6 4 5 5 6 6 6 7 7 6 9 10 10 12 12 24 | 11 11 12 1 2 2 3 4 5 5 5 5 5 7 5 5 5 5 5 7 10 10 10 11 11 25 | 12 2 3 2 3 3 3 4 5 4 6 4 5 5 4 5 5 5 4 9 10 9 10 12 1 26 | 2 4 6 6 6 6 6 5 4 5 5 5 7 9 10 12 12 11 12 1 2 2 4 5 5 27 | 5 6 6 6 4 5 5 9 10 10 12 13 12] 28 | test_Y len is 213Y_pred len is 213 29 | [('6-5', 6), ('5-4', 6), ('5-7', 5), ('1-2', 5), ('7-6', 5), ('5-3', 3), ('5-10', 2), ('5-12', 2), ('9-10', 2), ('4-9', 2), ('5-6', 2), ('5-11', 1), ('4-5', 1), ('12-11', 1), ('1-13', 1), ('12-13', 1), ('10-12', 1), ('4-3', 1), ('1-4', 1), ('5-2', 1), ('5-9', 1), ('11-12', 1), ('11-13', 1), ('3-1', 1)]0.830985915493 30 | test_Y: 31 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 32 | Y_pred: 33 | [11 12 1 1 1 1 4 5 5 5 5 4 5 5 5 6 5 9 10 12 11 13 4 5 5 34 | 5 4 5 5 5 9 9 9 5 9 9 9 5 1 1 4 5 5 5 6 6 6 4 5 5 35 | 4 5 9 4 11 1 1 1 1 4 5 5 4 5 6 6 6 7 9 10 12 12 11 11 1 36 | 1 2 4 5 5 5 5 5 4 6 6 6 6 6 6 6 7 9 10 11 11 12 1 1 1 37 | 2 1 4 5 5 6 6 5 6 6 6 4 5 5 5 6 6 7 7 7 9 10 10 12 11 38 | 11 11 12 1 1 2 3 4 5 5 5 5 5 5 5 5 5 5 5 5 9 9 10 11 11 39 | 12 1 3 5 4 5 5 5 5 5 6 5 5 5 5 5 5 5 7 9 10 9 10 11 1 40 | 2 4 6 6 6 5 6 6 4 5 5 5 5 9 10 12 12 11 12 1 1 2 4 5 5 41 | 5 6 6 6 4 5 5 9 10 10 12 13 13] 42 | test_Y len is 213Y_pred len is 213 43 | [('6-5', 6), ('2-1', 4), ('5-9', 4), ('12-11', 3), ('4-5', 2), ('7-6', 2), ('5-6', 2), ('4-9', 2), ('10-9', 1), ('1-9', 1), ('11-13', 1), ('12-13', 1), ('5-7', 1), ('12-4', 1), ('4-3', 1), ('10-12', 1), ('5-4', 1), ('3-1', 1), ('9-10', 1)] -------------------------------------------------------------------------------- /result/RandomForestCrossValidationResult20171116.text: -------------------------------------------------------------------------------- 1 | **********************step=8********************** 2 | index[0]0.990384615385 3 | index[1]0.961538461538 4 | index[2]0.942307692308 5 | index[3]0.942307692308 6 | index[4]0.971153846154 7 | index[5]0.932692307692 8 | index[6]0.961538461538 9 | index[7]0.923076923077 10 | index[8]0.961538461538 11 | index[9]0.923076923077 12 | 平均准确度：0.950961538462 13 | **********************step=8********************** 14 | index[0]0.942307692308 15 | index[1]0.942307692308 16 | index[2]0.951923076923 17 | index[3]0.951923076923 18 | index[4]0.942307692308 19 | index[5]0.971153846154 20 | index[6]0.971153846154 21 | index[7]0.923076923077 22 | index[8]0.932692307692 23 | index[9]0.923076923077 24 | 平均准确度：0.945192307692 25 | **********************step=8********************** 26 | index[0]0.961538461538 27 | index[1]0.961538461538 28 | index[2]0.971153846154 29 | index[3]0.932692307692 30 | index[4]0.961538461538 31 | index[5]0.932692307692 32 | index[6]0.990384615385 33 | index[7]0.942307692308 34 | index[8]0.903846153846 35 | index[9]0.913461538462 36 | 平均准确度：0.947115384615 37 | -------------------------------------------------------------------------------- /result/RandomForestResult.text: -------------------------------------------------------------------------------- 1 | 0.43661971831 2 | test_Y: 3 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 4 | Y_pred: 5 | [11 12 1 2 1 1 4 5 1 5 5 1 5 1 5 5 5 1 10 1 12 1 4 5 5 6 | 5 4 5 5 5 1 10 10 5 1 10 1 5 1 1 1 4 2 6 5 2 1 1 1 3 7 | 1 4 1 1 1 1 1 1 1 4 5 2 4 5 5 1 5 5 1 10 12 1 12 5 1 8 | 1 1 2 5 5 1 2 1 4 1 5 5 1 1 6 5 5 2 10 1 11 12 1 1 1 9 | 1 1 1 5 5 5 6 5 7 6 2 1 5 1 6 1 5 2 5 5 1 10 10 1 12 10 | 11 5 12 1 1 2 1 1 5 5 5 5 5 5 1 5 1 5 5 5 12 6 1 1 1 11 | 12 1 1 1 1 1 13 1 1 13 4 4 1 5 1 5 1 1 5 1 2 2 1 11 1 12 | 1 4 2 2 4 5 1 1 4 1 5 1 5 1 12 1 12 11 12 1 1 1 4 1 1 13 | 5 13 1 2 4 5 5 1 10 10 12 12 1] 14 | test_Y len is 213Y_pred len is 213 15 | [('5-1', 20), ('4-1', 11), ('6-1', 10), ('6-5', 9), ('2-1', 8), ('7-5', 6), ('9-1', 6), ('12-1', 6), ('6-2', 5), ('11-12', 3), ('5-4', 3), ('5-2', 3), ('5-10', 3), ('11-1', 3), ('9-2', 3), ('10-1', 3), ('11-5', 2), ('3-1', 2), ('5-13', 2), ('5-3', 1), ('6-7', 1), ('9-12', 1), ('6-4', 1), ('7-2', 1), ('12-11', 1), ('10-6', 1), ('10-12', 1), ('13-1', 1), ('6-13', 1), ('1-2', 1), ('4-2', 1)] -------------------------------------------------------------------------------- /result/RandomForestResult20171114.text: -------------------------------------------------------------------------------- 1 | 0.530516431925 2 | test_Y: 3 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 4 | Y_pred: 5 | [11 12 1 1 1 1 4 5 5 5 5 4 5 5 5 5 5 12 10 11 13 1 4 5 5 6 | 5 4 5 5 5 9 10 10 10 11 10 10 10 1 1 4 4 4 6 5 5 5 4 5 5 7 | 1 6 12 13 11 1 1 1 1 4 5 5 4 5 5 5 5 5 9 10 12 12 13 13 1 8 | 1 1 4 5 5 5 4 5 4 4 6 5 5 12 6 5 5 4 10 4 13 13 1 1 1 9 | 1 1 4 5 4 5 6 5 5 6 5 4 5 4 6 4 5 5 5 3 9 13 10 12 1 10 | 11 13 5 1 1 1 1 4 5 5 5 5 4 5 4 5 5 5 5 5 1 3 13 11 11 11 | 13 1 1 1 1 1 1 4 5 4 5 4 5 5 5 5 5 5 5 9 12 1 12 13 1 12 | 1 4 3 12 4 5 5 5 4 4 5 5 5 9 10 9 12 12 12 1 1 1 4 4 4 13 | 5 5 5 5 4 5 5 9 4 1 12 12 13] 14 | test_Y len is 213Y_pred len is 213 15 | [('6-5', 19), ('5-4', 10), ('2-1', 9), ('7-5', 6), ('5-10', 6), ('11-13', 5), ('12-13', 5), ('5-1', 4), ('6-4', 4), ('3-1', 2), ('6-12', 2), ('12-11', 2), ('9-12', 2), ('4-1', 2), ('11-12', 2), ('9-1', 2), ('10-13', 2), ('7-3', 1), ('12-5', 1), ('10-3', 1), ('10-1', 1), ('4-9', 1), ('12-1', 1), ('4-11', 1), ('10-9', 1), ('9-4', 1), ('1-12', 1), ('11-4', 1), ('10-4', 1), ('13-1', 1), ('6-3', 1), ('5-6', 1), ('10-12', 1)] 16 | 0.319248826291 17 | test_Y: 18 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 19 | Y_pred: 20 | [ 1 12 1 2 1 1 1 5 1 5 1 1 1 1 1 1 5 12 1 1 4 13 4 1 5 21 | 5 4 1 5 5 9 1 5 5 9 1 5 5 1 2 2 1 5 4 4 1 5 1 1 1 22 | 1 1 1 1 1 1 1 1 1 4 5 5 4 1 1 1 5 1 1 1 2 2 1 1 2 23 | 1 2 4 1 5 5 5 1 4 1 1 1 4 1 6 6 1 4 1 1 1 1 1 1 2 24 | 2 2 4 5 1 1 4 5 5 6 1 4 5 5 6 1 1 1 1 1 1 1 1 2 1 25 | 11 1 1 1 1 2 2 4 5 5 1 5 4 4 4 1 5 1 1 4 1 1 1 4 1 26 | 1 2 1 1 1 1 13 1 1 4 4 4 5 1 1 1 1 1 1 1 1 1 1 1 1 27 | 2 4 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 4 5 1 28 | 1 1 1 5 1 5 1 11 10 1 2 1 1] 29 | test_Y len is 213Y_pred len is 213 30 | [('5-1', 38), ('6-1', 20), ('10-1', 11), ('12-1', 10), ('11-1', 9), ('4-1', 7), ('9-1', 7), ('12-2', 5), ('5-4', 5), ('7-1', 5), ('6-5', 4), ('6-4', 4), ('2-1', 3), ('1-2', 3), ('3-2', 2), ('4-9', 2), ('11-4', 2), ('9-11', 1), ('7-5', 1), ('6-2', 1), ('9-12', 1), ('7-6', 1), ('4-2', 1), ('9-4', 1), ('5-13', 1)]0.643192488263 31 | test_Y: 32 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 33 | Y_pred: 34 | [ 4 12 1 2 2 3 4 5 5 6 13 4 5 3 4 4 6 9 10 11 11 13 4 5 5 35 | 5 4 5 5 5 4 5 5 5 4 5 5 5 1 2 4 4 6 6 6 7 7 4 4 3 36 | 4 5 4 1 13 1 1 1 2 4 5 5 4 5 6 6 6 7 9 10 12 4 11 11 2 37 | 1 2 4 5 5 6 6 6 4 4 6 6 7 6 6 6 7 9 10 11 11 11 1 1 1 38 | 2 3 4 4 4 6 6 6 6 6 7 4 5 4 6 6 6 7 7 7 9 10 10 12 11 39 | 11 9 11 1 1 2 3 4 4 4 13 4 4 7 4 5 4 4 4 7 9 10 10 11 11 40 | 11 2 4 1 3 3 13 4 4 6 6 4 4 4 6 7 7 7 7 9 9 9 9 13 1 41 | 2 4 6 6 6 6 6 6 4 5 5 6 3 9 10 10 12 11 12 1 1 2 4 13 5 42 | 6 6 6 7 4 5 13 4 11 10 12 11 11] 43 | test_Y len is 213Y_pred len is 213 44 | [('5-4', 18), ('5-6', 10), ('5-7', 6), ('12-11', 6), ('6-7', 5), ('5-13', 5), ('5-3', 5), ('1-2', 4), ('7-6', 2), ('12-13', 2), ('6-4', 1), ('10-9', 1), ('5-1', 1), ('11-9', 1), ('2-1', 1), ('1-4', 1), ('10-11', 1), ('6-5', 1), ('12-4', 1), ('9-4', 1), ('11-4', 1), ('12-1', 1), ('2-3', 1)] -------------------------------------------------------------------------------- /result/RandomForestResult20171115.text: -------------------------------------------------------------------------------- 1 | 0.596244131455 2 | test_Y: 3 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 4 | Y_pred: 5 | [11 12 1 1 1 3 4 5 4 6 5 4 5 5 5 4 3 9 10 11 11 13 4 5 5 6 | 5 4 5 5 5 9 5 5 5 9 5 5 5 1 1 4 4 4 6 6 4 4 4 4 3 7 | 9 6 9 4 1 1 1 1 2 4 5 4 4 5 6 6 4 7 9 9 12 11 11 11 1 8 | 1 2 4 5 5 5 4 6 4 4 6 4 4 6 6 6 4 9 10 10 11 11 1 1 1 9 | 2 3 4 4 4 6 6 4 6 6 7 4 5 4 6 6 4 6 4 7 9 10 10 12 11 10 | 11 11 11 1 1 2 3 4 13 4 4 5 4 5 4 4 4 4 4 7 9 10 9 11 11 11 | 11 1 1 3 3 3 13 4 4 4 5 4 4 6 4 5 5 4 4 9 10 9 11 11 1 12 | 2 4 6 4 6 7 6 4 4 4 5 5 5 9 9 12 12 11 12 1 1 2 4 4 5 13 | 6 4 4 4 4 5 6 9 9 10 12 11 12] 14 | test_Y len is 213Y_pred len is 213 15 | [('5-4', 26), ('6-4', 12), ('12-11', 7), ('5-3', 5), ('5-6', 5), ('10-9', 4), ('7-4', 3), ('4-9', 3), ('2-1', 3), ('5-13', 2), ('7-6', 2), ('6-7', 2), ('2-3', 1), ('5-7', 1), ('12-4', 1), ('12-1', 1), ('10-11', 1), ('9-10', 1), ('11-10', 1), ('6-5', 1), ('10-12', 1), ('4-1', 1), ('1-2', 1), ('1-9', 1)] -------------------------------------------------------------------------------- /result/SVMPredictResult20171117.text: -------------------------------------------------------------------------------- 1 | **********************step=1********************** 2 | 0.383886255924 3 | test_Y: 4 | [1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 5 | Y_pred: 6 | [5 5 5 6 5 5 6 5 5 5 5 5 5 6 5 5 5 5 6 6 6 5 5 5 6 5 5 5 6 5 5 5 6 5 5 5 5 7 | 6 5 5 5 6 6 6 6 5 5 6 5 6 5 5 5 5 5 5 5 5 5 6 5 6 6 5 5 5 5 5 5 5 5 5 5 5 8 | 5 5 5 5 6 5 6 5 6 6 6 6 6 6 5 6 5 5 5 5 5 5 5 5 5 6 5 5 5 6 6 5 6 6 6 5 5 9 | 5 6 6 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 10 | 5 6 5 6 5 5 6 5 5 6 6 6 5 6 6 5 5 5 5 5 5 6 5 5 5 5 5 6 6 6 5 6 5 5 6 5 6 11 | 5 5 5 6 5 5 5 5 5 5 5 5 6 6 6 6 6 5 5 5 5 5 5 5 6 6] 12 | test_Y len is 211，and Y_pred len is 211 13 | **********************step=1********************** 14 | 0.383886255924 15 | test_Y: 16 | [1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 17 | Y_pred: 18 | [5 5 5 6 5 5 6 5 5 5 5 5 5 6 5 5 5 5 6 6 6 5 5 5 6 5 5 5 6 5 5 5 6 5 5 5 5 19 | 6 5 5 5 6 6 6 6 5 5 6 5 6 5 5 5 5 5 5 5 5 5 6 5 6 6 5 5 5 5 5 5 5 5 5 5 5 20 | 5 5 5 5 6 5 6 5 6 6 6 6 6 6 5 6 5 5 5 5 5 5 5 5 5 6 5 5 5 6 6 5 6 6 6 5 5 21 | 5 6 6 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 22 | 5 6 5 6 5 5 6 5 5 6 6 6 5 6 6 5 5 5 5 5 5 6 5 5 5 5 5 6 6 6 5 6 5 5 6 5 6 23 | 5 5 5 6 5 5 5 5 5 5 5 5 6 6 6 6 6 5 5 5 5 5 5 5 6 6] 24 | test_Y len is 211，and Y_pred len is 211 25 | **********************step=1********************** 26 | 0.383886255924 27 | test_Y: 28 | [1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 29 | Y_pred: 30 | [5 5 5 6 5 5 6 5 5 5 5 5 5 6 5 5 5 5 6 6 6 5 5 5 6 5 5 5 6 5 5 5 6 5 5 5 5 31 | 6 5 5 5 6 6 6 6 5 5 6 5 6 5 5 5 5 5 5 5 5 5 6 5 6 6 5 5 5 5 5 5 5 5 5 5 5 32 | 5 5 5 5 6 5 6 5 6 6 6 6 6 6 5 6 5 5 5 5 5 5 5 5 5 6 5 5 5 6 6 5 6 6 6 5 5 33 | 5 6 6 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 34 | 5 6 5 6 5 5 6 5 5 6 6 6 5 6 6 5 5 5 5 5 5 6 5 5 5 5 5 6 6 6 5 6 5 5 6 5 6 35 | 5 5 5 6 5 5 5 5 5 5 5 5 6 6 6 6 6 5 5 5 5 5 5 5 6 6] 36 | test_Y len is 211，and Y_pred len is 211 37 | **********************step=1********************** 38 | 0.383886255924 39 | test_Y: 40 | [1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 41 | Y_pred: 42 | [5 5 5 6 5 5 6 5 5 5 5 5 5 6 5 5 5 5 6 6 6 5 5 5 6 5 5 5 6 5 5 5 6 5 5 5 5 43 | 6 5 5 5 6 6 6 6 5 5 6 5 6 5 5 5 5 5 5 5 5 5 6 5 6 6 5 5 5 5 5 5 5 5 5 5 5 44 | 5 5 5 5 6 5 6 5 6 6 6 6 6 6 5 6 5 5 5 5 5 5 5 5 5 6 5 5 5 6 6 5 6 6 6 5 5 45 | 5 6 6 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 46 | 5 6 5 6 5 5 6 5 5 6 6 6 5 6 6 5 5 5 5 5 5 6 5 5 5 5 5 6 6 6 5 6 5 5 6 5 6 47 | 5 5 5 6 5 5 5 5 5 5 5 5 6 6 6 6 6 5 5 5 5 5 5 5 6 6] 48 | test_Y len is 211，and Y_pred len is 211 49 | **********************step=1********************** 50 | 0.383886255924 51 | test_Y: 52 | [1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 53 | Y_pred: 54 | [5 5 5 6 5 5 6 5 5 5 5 5 5 6 5 5 5 5 6 6 6 5 5 5 6 5 5 5 6 5 5 5 6 5 5 5 5 55 | 6 5 5 5 6 6 6 6 5 5 6 5 6 5 5 5 5 5 5 5 5 5 6 5 6 6 5 5 5 5 5 5 5 5 5 5 5 56 | 5 5 5 5 6 5 6 5 6 6 6 6 6 6 5 6 5 5 5 5 5 5 5 5 5 6 5 5 5 6 6 5 6 6 6 5 5 57 | 5 6 6 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 58 | 5 6 5 6 5 5 6 5 5 6 6 6 5 6 6 5 5 5 5 5 5 6 5 5 5 5 5 6 6 6 5 6 5 5 6 5 6 59 | 5 5 5 6 5 5 5 5 5 5 5 5 6 6 6 6 6 5 5 5 5 5 5 5 6 6] 60 | test_Y len is 211，and Y_pred len is 211 61 | **********************step=1********************** 62 | 0.383886255924 63 | test_Y: 64 | [1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 65 | Y_pred: 66 | [5 5 5 6 5 5 6 5 5 5 5 5 5 6 5 5 5 5 6 6 6 5 5 5 6 5 5 5 6 5 5 5 6 5 5 5 5 67 | 6 5 5 5 6 6 6 6 5 5 6 5 6 5 5 5 5 5 5 5 5 5 6 5 6 6 5 5 5 5 5 5 5 5 5 5 5 68 | 5 5 5 5 6 5 6 5 6 6 6 6 6 6 5 6 5 5 5 5 5 5 5 5 5 6 5 5 5 6 6 5 6 6 6 5 5 69 | 5 6 6 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 70 | 5 6 5 6 5 5 6 5 5 6 6 6 5 6 6 5 5 5 5 5 5 6 5 5 5 5 5 6 6 6 5 6 5 5 6 5 6 71 | 5 5 5 6 5 5 5 5 5 5 5 5 6 6 6 6 6 5 5 5 5 5 5 5 6 6] 72 | test_Y len is 211，and Y_pred len is 211 73 | **********************step=1********************** 74 | 0.383886255924 75 | test_Y: 76 | [1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 77 | Y_pred: 78 | [5 5 5 6 5 5 6 5 5 5 5 5 5 6 5 5 5 5 6 6 6 5 5 5 6 5 5 5 6 5 5 5 6 5 5 5 5 79 | 6 5 5 5 6 6 6 6 5 5 6 5 6 5 5 5 5 5 5 5 5 5 6 5 6 6 5 5 5 5 5 5 5 5 5 5 5 80 | 5 5 5 5 6 5 6 5 6 6 6 6 6 6 5 6 5 5 5 5 5 5 5 5 5 6 5 5 5 6 6 5 6 6 6 5 5 81 | 5 6 6 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 82 | 5 6 5 6 5 5 6 5 5 6 6 6 5 6 6 5 5 5 5 5 5 6 5 5 5 5 5 6 6 6 5 6 5 5 6 5 6 83 | 5 5 5 6 5 5 5 5 5 5 5 5 6 6 6 6 6 5 5 5 5 5 5 5 6 6] 84 | test_Y len is 211，and Y_pred len is 211 85 | **********************step=1********************** 86 | 0.383886255924 87 | test_Y: 88 | [1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 89 | Y_pred: 90 | [5 5 5 6 5 5 6 5 5 5 5 5 5 6 5 5 5 5 6 6 6 5 5 5 6 5 5 5 6 5 5 5 6 5 5 5 5 91 | 6 5 5 5 6 6 6 6 5 5 6 5 6 5 5 5 5 5 5 5 5 5 6 5 6 6 5 5 5 5 5 5 5 5 5 5 5 92 | 5 5 5 5 6 5 6 5 6 6 6 6 6 6 5 6 5 5 5 5 5 5 5 5 5 6 5 5 5 6 6 5 6 6 6 5 5 93 | 5 6 6 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 94 | 5 6 5 6 5 5 6 5 5 6 6 6 5 6 6 5 5 5 5 5 5 6 5 5 5 5 5 6 6 6 5 6 5 5 6 5 6 95 | 5 5 5 6 5 5 5 5 5 5 5 5 6 6 6 6 6 5 5 5 5 5 5 5 6 6] 96 | test_Y len is 211，and Y_pred len is 211 97 | **********************step=1********************** 98 | 0.383886255924 99 | test_Y: 100 | [1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 101 | Y_pred: 102 | [5 5 5 6 5 5 6 5 5 5 5 5 5 6 5 5 5 5 6 6 6 5 5 5 6 5 5 5 6 5 5 5 6 5 5 5 5 103 | 6 5 5 5 6 6 6 6 5 5 6 5 6 5 5 5 5 5 5 5 5 5 6 5 6 6 5 5 5 5 5 5 5 5 5 5 5 104 | 5 5 5 5 6 5 6 5 6 6 6 6 6 6 5 6 5 5 5 5 5 5 5 5 5 6 5 5 5 6 6 5 6 6 6 5 5 105 | 5 6 6 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 106 | 5 6 5 6 5 5 6 5 5 6 6 6 5 6 6 5 5 5 5 5 5 6 5 5 5 5 5 6 6 6 5 6 5 5 6 5 6 107 | 5 5 5 6 5 5 5 5 5 5 5 5 6 6 6 6 6 5 5 5 5 5 5 5 6 6] 108 | test_Y len is 211，and Y_pred len is 211 109 | **********************step=1********************** 110 | 0.383886255924 111 | test_Y: 112 | [1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 113 | Y_pred: 114 | [5 5 5 6 5 5 6 5 5 5 5 5 5 6 5 5 5 5 6 6 6 5 5 5 6 5 5 5 6 5 5 5 6 5 5 5 5 115 | 6 5 5 5 6 6 6 6 5 5 6 5 6 5 5 5 5 5 5 5 5 5 6 5 6 6 5 5 5 5 5 5 5 5 5 5 5 116 | 5 5 5 5 6 5 6 5 6 6 6 6 6 6 5 6 5 5 5 5 5 5 5 5 5 6 5 5 5 6 6 5 6 6 6 5 5 117 | 5 6 6 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 6 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 118 | 5 6 5 6 5 5 6 5 5 6 6 6 5 6 6 5 5 5 5 5 5 6 5 5 5 5 5 6 6 6 5 6 5 5 6 5 6 119 | 5 5 5 6 5 5 5 5 5 5 5 5 6 6 6 6 6 5 5 5 5 5 5 5 6 6] 120 | test_Y len is 211，and Y_pred len is 211 121 | -------------------------------------------------------------------------------- /result/SVMResult20171114.text: -------------------------------------------------------------------------------- 1 | 0.338028169014 2 | test_Y: 3 | [11, 12, 1, 1, 1, 2, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 12, 11, 13, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 4, 5, 5, 5, 1, 2, 4, 5, 5, 6, 6, 6, 6, 4, 5, 5, 4, 5, 1, 12, 12, 1, 1, 1, 1, 4, 5, 5, 4, 5, 6, 6, 7, 7, 9, 10, 12, 12, 11, 11, 1, 1, 2, 4, 5, 5, 5, 5, 5, 4, 6, 6, 6, 6, 6, 6, 7, 7, 9, 10, 11, 11, 12, 1, 1, 1, 2, 3, 4, 5, 5, 6, 6, 6, 6, 6, 6, 4, 5, 5, 6, 6, 6, 7, 7, 7, 9, 10, 10, 12, 12, 11, 11, 12, 1, 2, 2, 3, 4, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 9, 10, 10, 11, 11, 12, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 10, 12, 1, 2, 4, 6, 6, 6, 6, 6, 6, 4, 5, 5, 5, 5, 9, 10, 10, 12, 11, 12, 1, 1, 2, 4, 5, 6, 6, 6, 6, 6, 4, 5, 5, 9, 10, 10, 12, 11, 12] 4 | Y_pred: 5 | [ 5 12 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 6 | 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 7 | 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 8 | 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 9 | 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 10 | 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 11 | 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 12 | 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 13 | 5 5 5 5 5 5 5 5 5 5 5 5 5] 14 | test_Y len is 213Y_pred len is 213 15 | [('6-5', 32), ('4-5', 23), ('1-5', 18), ('12-5', 15), ('11-5', 12), ('10-5', 12), ('9-5', 10), ('2-5', 9), ('7-5', 7), ('3-5', 2), ('13-5', 1)] --------------------------------------------------------------------------------