├── EM ├── README.md ├── __init__.py ├── dataset │ └── heros.csv ├── model.py └── read_data.py ├── KNN ├── __init__.py ├── dataset │ ├── testDigits │ │ ├── 0_0.txt │ │ ├── 0_1.txt │ │ ├── 0_10.txt │ │ ├── 0_11.txt │ │ ├── 0_12.txt │ │ ├── 0_13.txt │ │ ├── 0_14.txt │ │ ├── 0_15.txt │ │ ├── 0_16.txt │ │ ├── 0_17.txt │ │ ├── 0_18.txt │ │ ├── 0_19.txt │ │ ├── 0_2.txt │ │ ├── 0_20.txt │ │ ├── 0_21.txt │ │ ├── 0_22.txt │ │ ├── 0_23.txt │ │ ├── 0_24.txt │ │ ├── 0_25.txt │ │ ├── 0_26.txt │ │ ├── 0_27.txt │ │ ├── 0_28.txt │ │ ├── 0_29.txt │ │ ├── 0_3.txt │ │ ├── 0_30.txt │ │ ├── 0_31.txt │ │ ├── 0_32.txt │ │ ├── 0_33.txt │ │ ├── 0_34.txt │ │ ├── 0_35.txt │ │ ├── 0_36.txt │ │ ├── 0_37.txt │ │ ├── 0_38.txt │ │ ├── 0_39.txt │ │ ├── 0_4.txt │ │ ├── 0_40.txt │ │ ├── 0_41.txt │ │ ├── 0_42.txt │ │ ├── 0_43.txt │ │ ├── 0_44.txt │ │ ├── 0_45.txt │ │ ├── 0_46.txt │ │ ├── 0_47.txt │ │ ├── 0_48.txt │ │ ├── 0_49.txt │ │ ├── 0_5.txt │ │ ├── 0_50.txt │ │ ├── 0_51.txt │ │ ├── 0_52.txt │ │ ├── 0_53.txt │ │ ├── 0_54.txt │ │ ├── 0_55.txt │ │ ├── 0_56.txt │ │ ├── 0_57.txt │ │ ├── 0_58.txt │ │ ├── 0_59.txt │ │ ├── 0_6.txt │ │ ├── 0_60.txt │ │ ├── 0_61.txt │ │ ├── 0_62.txt │ │ ├── 0_63.txt │ │ ├── 0_64.txt │ │ ├── 0_65.txt │ │ ├── 0_66.txt │ │ ├── 0_67.txt │ │ ├── 0_68.txt │ │ ├── 0_69.txt │ │ ├── 0_7.txt │ │ ├── 0_70.txt │ │ ├── 0_71.txt │ │ ├── 0_72.txt │ │ ├── 0_73.txt │ │ ├── 0_74.txt │ │ ├── 0_75.txt │ │ ├── 0_76.txt │ │ ├── 0_77.txt │ │ ├── 0_78.txt │ │ ├── 0_79.txt │ │ ├── 0_8.txt │ │ ├── 0_80.txt │ │ ├── 0_81.txt │ │ ├── 0_82.txt │ │ ├── 0_83.txt │ │ ├── 0_84.txt │ │ ├── 0_85.txt │ │ ├── 0_86.txt │ │ ├── 0_9.txt │ │ ├── 1_0.txt │ │ ├── 1_1.txt │ │ ├── 1_10.txt │ │ ├── 1_11.txt │ │ ├── 1_12.txt │ │ ├── 1_13.txt │ │ ├── 1_14.txt │ │ ├── 1_15.txt │ │ ├── 1_16.txt │ │ ├── 1_17.txt │ │ ├── 1_18.txt │ │ ├── 1_19.txt │ │ ├── 1_2.txt │ │ ├── 1_20.txt │ │ ├── 1_21.txt │ │ ├── 1_22.txt │ │ ├── 1_23.txt │ │ ├── 1_24.txt │ │ ├── 1_25.txt │ │ ├── 1_26.txt │ │ ├── 1_27.txt │ │ ├── 1_28.txt │ │ ├── 1_29.txt │ │ ├── 1_3.txt │ │ ├── 1_30.txt │ │ ├── 1_31.txt │ │ ├── 1_32.txt │ │ ├── 1_33.txt │ │ ├── 1_34.txt │ │ ├── 1_35.txt │ │ ├── 1_36.txt │ │ ├── 1_37.txt │ │ ├── 1_38.txt │ │ ├── 1_39.txt │ │ ├── 1_4.txt │ │ ├── 1_40.txt │ │ ├── 1_41.txt │ │ ├── 1_42.txt │ │ ├── 1_43.txt │ │ ├── 1_44.txt │ │ ├── 1_45.txt │ │ ├── 1_46.txt │ │ ├── 1_47.txt │ │ ├── 1_48.txt │ │ ├── 1_49.txt │ │ ├── 1_5.txt │ │ ├── 1_50.txt │ │ ├── 1_51.txt │ │ ├── 1_52.txt │ │ ├── 1_53.txt │ │ ├── 1_54.txt │ │ ├── 1_55.txt │ │ ├── 1_56.txt │ │ ├── 1_57.txt │ │ ├── 1_58.txt │ │ ├── 1_59.txt │ │ ├── 1_6.txt │ │ ├── 1_60.txt │ │ ├── 1_61.txt │ │ ├── 1_62.txt │ │ ├── 1_63.txt │ │ ├── 1_64.txt │ │ ├── 1_65.txt │ │ ├── 1_66.txt │ │ ├── 1_67.txt │ │ ├── 1_68.txt │ │ ├── 1_69.txt │ │ ├── 1_7.txt │ │ ├── 1_70.txt │ │ ├── 1_71.txt │ │ ├── 1_72.txt │ │ ├── 1_73.txt │ │ ├── 1_74.txt │ │ ├── 1_75.txt │ │ ├── 1_76.txt │ │ ├── 1_77.txt │ │ ├── 1_78.txt │ │ ├── 1_79.txt │ │ ├── 1_8.txt │ │ ├── 1_80.txt │ │ ├── 1_81.txt │ │ ├── 1_82.txt │ │ ├── 1_83.txt │ │ ├── 1_84.txt │ │ ├── 1_85.txt │ │ ├── 1_86.txt │ │ ├── 1_87.txt │ │ ├── 1_88.txt │ │ ├── 1_89.txt │ │ ├── 1_9.txt │ │ ├── 1_90.txt │ │ ├── 1_91.txt │ │ ├── 1_92.txt │ │ ├── 1_93.txt │ │ ├── 1_94.txt │ │ ├── 1_95.txt │ │ ├── 1_96.txt │ │ ├── 2_0.txt │ │ ├── 2_1.txt │ │ ├── 2_10.txt │ │ ├── 2_11.txt │ │ ├── 2_12.txt │ │ ├── 2_13.txt │ │ ├── 2_14.txt │ │ ├── 2_15.txt │ │ ├── 2_16.txt │ │ ├── 2_17.txt │ │ ├── 2_18.txt │ │ ├── 2_19.txt │ │ ├── 2_2.txt │ │ ├── 2_20.txt │ │ ├── 2_21.txt │ │ ├── 2_22.txt │ │ ├── 2_23.txt │ │ ├── 2_24.txt │ │ ├── 2_25.txt │ │ ├── 2_26.txt │ │ ├── 2_27.txt │ │ ├── 2_28.txt │ │ ├── 2_29.txt │ │ ├── 2_3.txt │ │ ├── 2_30.txt │ │ ├── 2_31.txt │ │ ├── 2_32.txt │ │ ├── 2_33.txt │ │ ├── 2_34.txt │ │ ├── 2_35.txt │ │ ├── 2_36.txt │ │ ├── 2_37.txt │ │ ├── 2_38.txt │ │ ├── 2_39.txt │ │ ├── 2_4.txt │ │ ├── 2_40.txt │ │ ├── 2_41.txt │ │ ├── 2_42.txt │ │ ├── 2_43.txt │ │ ├── 2_44.txt │ │ ├── 2_45.txt │ │ ├── 2_46.txt │ │ ├── 2_47.txt │ │ ├── 2_48.txt │ │ ├── 2_49.txt │ │ ├── 2_5.txt │ │ ├── 2_50.txt │ │ ├── 2_51.txt │ │ ├── 2_52.txt │ │ ├── 2_53.txt │ │ ├── 2_54.txt │ │ ├── 2_55.txt │ │ ├── 2_56.txt │ │ ├── 2_57.txt │ │ ├── 2_58.txt │ │ ├── 2_59.txt │ │ ├── 2_6.txt │ │ ├── 2_60.txt │ │ ├── 2_61.txt │ │ ├── 2_62.txt │ │ ├── 2_63.txt │ │ ├── 2_64.txt │ │ ├── 2_65.txt │ │ ├── 2_66.txt │ │ ├── 2_67.txt │ │ ├── 2_68.txt │ │ ├── 2_69.txt │ │ ├── 2_7.txt │ │ ├── 2_70.txt │ │ ├── 2_71.txt │ │ ├── 2_72.txt │ │ ├── 2_73.txt │ │ ├── 2_74.txt │ │ ├── 2_75.txt │ │ ├── 2_76.txt │ │ ├── 2_77.txt │ │ ├── 2_78.txt │ │ ├── 2_79.txt │ │ ├── 2_8.txt │ │ ├── 2_80.txt │ │ ├── 2_81.txt │ │ ├── 2_82.txt │ │ ├── 2_83.txt │ │ ├── 2_84.txt │ │ ├── 2_85.txt │ │ ├── 2_86.txt │ │ ├── 2_87.txt │ │ ├── 2_88.txt │ │ ├── 2_89.txt │ │ ├── 2_9.txt │ │ ├── 2_90.txt │ │ ├── 2_91.txt │ │ ├── 3_0.txt │ │ ├── 3_1.txt │ │ ├── 3_10.txt │ │ ├── 3_11.txt │ │ ├── 3_12.txt │ │ ├── 3_13.txt │ │ ├── 3_14.txt │ │ ├── 3_15.txt │ │ ├── 3_16.txt │ │ ├── 3_17.txt │ │ ├── 3_18.txt │ │ ├── 3_19.txt │ │ ├── 3_2.txt │ │ ├── 3_20.txt │ │ ├── 3_21.txt │ │ ├── 3_22.txt │ │ ├── 3_23.txt │ │ ├── 3_24.txt │ │ ├── 3_25.txt │ │ ├── 3_26.txt │ │ ├── 3_27.txt │ │ ├── 3_28.txt │ │ ├── 3_29.txt │ │ ├── 3_3.txt │ │ ├── 3_30.txt │ │ ├── 3_31.txt │ │ ├── 3_32.txt │ │ ├── 3_33.txt │ │ ├── 3_34.txt │ │ ├── 3_35.txt │ │ ├── 3_36.txt │ │ ├── 3_37.txt │ │ ├── 3_38.txt │ │ ├── 3_39.txt │ │ ├── 3_4.txt │ │ ├── 3_40.txt │ │ ├── 3_41.txt │ │ ├── 3_42.txt │ │ ├── 3_43.txt │ │ ├── 3_44.txt │ │ ├── 3_45.txt │ │ ├── 3_46.txt │ │ ├── 3_47.txt │ │ ├── 3_48.txt │ │ ├── 3_49.txt │ │ ├── 3_5.txt │ │ ├── 3_50.txt │ │ ├── 3_51.txt │ │ ├── 3_52.txt │ │ ├── 3_53.txt │ │ ├── 3_54.txt │ │ ├── 3_55.txt │ │ ├── 3_56.txt │ │ ├── 3_57.txt │ │ ├── 3_58.txt │ │ ├── 3_59.txt │ │ ├── 3_6.txt │ │ ├── 3_60.txt │ │ ├── 3_61.txt │ │ ├── 3_62.txt │ │ ├── 3_63.txt │ │ ├── 3_64.txt │ │ ├── 3_65.txt │ │ ├── 3_66.txt │ │ ├── 3_67.txt │ │ ├── 3_68.txt │ │ ├── 3_69.txt │ │ ├── 3_7.txt │ │ ├── 3_70.txt │ │ ├── 3_71.txt │ │ ├── 3_72.txt │ │ ├── 3_73.txt │ │ ├── 3_74.txt │ │ ├── 3_75.txt │ │ ├── 3_76.txt │ │ ├── 3_77.txt │ │ ├── 3_78.txt │ │ ├── 3_79.txt │ │ ├── 3_8.txt │ │ ├── 3_80.txt │ │ ├── 3_81.txt │ │ ├── 3_82.txt │ │ ├── 3_83.txt │ │ ├── 3_84.txt │ │ ├── 3_9.txt │ │ ├── 4_0.txt │ │ ├── 4_1.txt │ │ ├── 4_10.txt │ │ ├── 4_100.txt │ │ ├── 4_101.txt │ │ ├── 4_102.txt │ │ ├── 4_103.txt │ │ ├── 4_104.txt │ │ ├── 4_105.txt │ │ ├── 4_106.txt │ │ ├── 4_107.txt │ │ ├── 4_108.txt │ │ ├── 4_109.txt │ │ ├── 4_11.txt │ │ ├── 4_110.txt │ │ ├── 4_111.txt │ │ ├── 4_112.txt │ │ ├── 4_113.txt │ │ ├── 4_12.txt │ │ ├── 4_13.txt │ │ ├── 4_14.txt │ │ ├── 4_15.txt │ │ ├── 4_16.txt │ │ ├── 4_17.txt │ │ ├── 4_18.txt │ │ ├── 4_19.txt │ │ ├── 4_2.txt │ │ ├── 4_20.txt │ │ ├── 4_21.txt │ │ ├── 4_22.txt │ │ ├── 4_23.txt │ │ ├── 4_24.txt │ │ ├── 4_25.txt │ │ ├── 4_26.txt │ │ ├── 4_27.txt │ │ ├── 4_28.txt │ │ ├── 4_29.txt │ │ ├── 4_3.txt │ │ ├── 4_30.txt │ │ ├── 4_31.txt │ │ ├── 4_32.txt │ │ ├── 4_33.txt │ │ ├── 4_34.txt │ │ ├── 4_35.txt │ │ ├── 4_36.txt │ │ ├── 4_37.txt │ │ ├── 4_38.txt │ │ ├── 4_39.txt │ │ ├── 4_4.txt │ │ ├── 4_40.txt │ │ ├── 4_41.txt │ │ ├── 4_42.txt │ │ ├── 4_43.txt │ │ ├── 4_44.txt │ │ ├── 4_45.txt │ │ ├── 4_46.txt │ │ ├── 4_47.txt │ │ ├── 4_48.txt │ │ ├── 4_49.txt │ │ ├── 4_5.txt │ │ ├── 4_50.txt │ │ ├── 4_51.txt │ │ ├── 4_52.txt │ │ ├── 4_53.txt │ │ ├── 4_54.txt │ │ ├── 4_55.txt │ │ ├── 4_56.txt │ │ ├── 4_57.txt │ │ ├── 4_58.txt │ │ ├── 4_59.txt │ │ ├── 4_6.txt │ │ ├── 4_60.txt │ │ ├── 4_61.txt │ │ ├── 4_62.txt │ │ ├── 4_63.txt │ │ ├── 4_64.txt │ │ ├── 4_65.txt │ │ ├── 4_66.txt │ │ ├── 4_67.txt │ │ ├── 4_68.txt │ │ ├── 4_69.txt │ │ ├── 4_7.txt │ │ ├── 4_70.txt │ │ ├── 4_71.txt │ │ ├── 4_72.txt │ │ ├── 4_73.txt │ │ ├── 4_74.txt │ │ ├── 4_75.txt │ │ ├── 4_76.txt │ │ ├── 4_77.txt │ │ ├── 4_78.txt │ │ ├── 4_79.txt │ │ ├── 4_8.txt │ │ ├── 4_80.txt │ │ ├── 4_81.txt │ │ ├── 4_82.txt │ │ ├── 4_83.txt │ │ ├── 4_84.txt │ │ ├── 4_85.txt │ │ ├── 4_86.txt │ │ ├── 4_87.txt │ │ ├── 4_88.txt │ │ ├── 4_89.txt │ │ ├── 4_9.txt │ │ ├── 4_90.txt │ │ ├── 4_91.txt │ │ ├── 4_92.txt │ │ ├── 4_93.txt │ │ ├── 4_94.txt │ │ ├── 4_95.txt │ │ ├── 4_96.txt │ │ ├── 4_97.txt │ │ ├── 4_98.txt │ │ ├── 4_99.txt │ │ ├── 5_0.txt │ │ ├── 5_1.txt │ │ ├── 5_10.txt │ │ ├── 5_100.txt │ │ ├── 5_101.txt │ │ ├── 5_102.txt │ │ ├── 5_103.txt │ │ ├── 5_104.txt │ │ ├── 5_105.txt │ │ ├── 5_106.txt │ │ ├── 5_107.txt │ │ ├── 5_11.txt │ │ ├── 5_12.txt │ │ ├── 5_13.txt │ │ ├── 5_14.txt │ │ ├── 5_15.txt │ │ ├── 5_16.txt │ │ ├── 5_17.txt │ │ ├── 5_18.txt │ │ ├── 5_19.txt │ │ ├── 5_2.txt │ │ ├── 5_20.txt │ │ ├── 5_21.txt │ │ ├── 5_22.txt │ │ ├── 5_23.txt │ │ ├── 5_24.txt │ │ ├── 5_25.txt │ │ ├── 5_26.txt │ │ ├── 5_27.txt │ │ ├── 5_28.txt │ │ ├── 5_29.txt │ │ ├── 5_3.txt │ │ ├── 5_30.txt │ │ ├── 5_31.txt │ │ ├── 5_32.txt │ │ ├── 5_33.txt │ │ ├── 5_34.txt │ │ ├── 5_35.txt │ │ ├── 5_36.txt │ │ ├── 5_37.txt │ │ ├── 5_38.txt │ │ ├── 5_39.txt │ │ ├── 5_4.txt │ │ ├── 5_40.txt │ │ ├── 5_41.txt │ │ ├── 5_42.txt │ │ ├── 5_43.txt │ │ ├── 5_44.txt │ │ ├── 5_45.txt │ │ ├── 5_46.txt │ │ ├── 5_47.txt │ │ ├── 5_48.txt │ │ ├── 5_49.txt │ │ ├── 5_5.txt │ │ ├── 5_50.txt │ │ ├── 5_51.txt │ │ ├── 5_52.txt │ │ ├── 5_53.txt │ │ ├── 5_54.txt │ │ ├── 5_55.txt │ │ ├── 5_56.txt │ │ ├── 5_57.txt │ │ ├── 5_58.txt │ │ ├── 5_59.txt │ │ ├── 5_6.txt │ │ ├── 5_60.txt │ │ ├── 5_61.txt │ │ ├── 5_62.txt │ │ ├── 5_63.txt │ │ ├── 5_64.txt │ │ ├── 5_65.txt │ │ ├── 5_66.txt │ │ ├── 5_67.txt │ │ ├── 5_68.txt │ │ ├── 5_69.txt │ │ ├── 5_7.txt │ │ ├── 5_70.txt │ │ ├── 5_71.txt │ │ ├── 5_72.txt │ │ ├── 5_73.txt │ │ ├── 5_74.txt │ │ ├── 5_75.txt │ │ ├── 5_76.txt │ │ ├── 5_77.txt │ │ ├── 5_78.txt │ │ ├── 5_79.txt │ │ ├── 5_8.txt │ │ ├── 5_80.txt │ │ ├── 5_81.txt │ │ ├── 5_82.txt │ │ ├── 5_83.txt │ │ ├── 5_84.txt │ │ ├── 5_85.txt │ │ ├── 5_86.txt │ │ ├── 5_87.txt │ │ ├── 5_88.txt │ │ ├── 5_89.txt │ │ ├── 5_9.txt │ │ ├── 5_90.txt │ │ ├── 5_91.txt │ │ ├── 5_92.txt │ │ ├── 5_93.txt │ │ ├── 5_94.txt │ │ ├── 5_95.txt │ │ ├── 5_96.txt │ │ ├── 5_97.txt │ │ ├── 5_98.txt │ │ ├── 5_99.txt │ │ ├── 6_0.txt │ │ ├── 6_1.txt │ │ ├── 6_10.txt │ │ ├── 6_11.txt │ │ ├── 6_12.txt │ │ ├── 6_13.txt │ │ ├── 6_14.txt │ │ ├── 6_15.txt │ │ ├── 6_16.txt │ │ ├── 6_17.txt │ │ ├── 6_18.txt │ │ ├── 6_19.txt │ │ ├── 6_2.txt │ │ ├── 6_20.txt │ │ ├── 6_21.txt │ │ ├── 6_22.txt │ │ ├── 6_23.txt │ │ ├── 6_24.txt │ │ ├── 6_25.txt │ │ ├── 6_26.txt │ │ ├── 6_27.txt │ │ ├── 6_28.txt │ │ ├── 6_29.txt │ │ ├── 6_3.txt │ │ ├── 6_30.txt │ │ ├── 6_31.txt │ │ ├── 6_32.txt │ │ ├── 6_33.txt │ │ ├── 6_34.txt │ │ ├── 6_35.txt │ │ ├── 6_36.txt │ │ ├── 6_37.txt │ │ ├── 6_38.txt │ │ ├── 6_39.txt │ │ ├── 6_4.txt │ │ ├── 6_40.txt │ │ ├── 6_41.txt │ │ ├── 6_42.txt │ │ ├── 6_43.txt │ │ ├── 6_44.txt │ │ ├── 6_45.txt │ │ ├── 6_46.txt │ │ ├── 6_47.txt │ │ ├── 6_48.txt │ │ ├── 6_49.txt │ │ ├── 6_5.txt │ │ ├── 6_50.txt │ │ ├── 6_51.txt │ │ ├── 6_52.txt │ │ ├── 6_53.txt │ │ ├── 6_54.txt │ │ ├── 6_55.txt │ │ ├── 6_56.txt │ │ ├── 6_57.txt │ │ ├── 6_58.txt │ │ ├── 6_59.txt │ │ ├── 6_6.txt │ │ ├── 6_60.txt │ │ ├── 6_61.txt │ │ ├── 6_62.txt │ │ ├── 6_63.txt │ │ ├── 6_64.txt │ │ ├── 6_65.txt │ │ ├── 6_66.txt │ │ ├── 6_67.txt │ │ ├── 6_68.txt │ │ ├── 6_69.txt │ │ ├── 6_7.txt │ │ ├── 6_70.txt │ │ ├── 6_71.txt │ │ ├── 6_72.txt │ │ ├── 6_73.txt │ │ ├── 6_74.txt │ │ ├── 6_75.txt │ │ ├── 6_76.txt │ │ ├── 6_77.txt │ │ ├── 6_78.txt │ │ ├── 6_79.txt │ │ ├── 6_8.txt │ │ ├── 6_80.txt │ │ ├── 6_81.txt │ │ ├── 6_82.txt │ │ ├── 6_83.txt │ │ ├── 6_84.txt │ │ ├── 6_85.txt │ │ ├── 6_86.txt │ │ ├── 6_9.txt │ │ ├── 7_0.txt │ │ ├── 7_1.txt │ │ ├── 7_10.txt │ │ ├── 7_11.txt │ │ ├── 7_12.txt │ │ ├── 7_13.txt │ │ ├── 7_14.txt │ │ ├── 7_15.txt │ │ ├── 7_16.txt │ │ ├── 7_17.txt │ │ ├── 7_18.txt │ │ ├── 7_19.txt │ │ ├── 7_2.txt │ │ ├── 7_20.txt │ │ ├── 7_21.txt │ │ ├── 7_22.txt │ │ ├── 7_23.txt │ │ ├── 7_24.txt │ │ ├── 7_25.txt │ │ ├── 7_26.txt │ │ ├── 7_27.txt │ │ ├── 7_28.txt │ │ ├── 7_29.txt │ │ ├── 7_3.txt │ │ ├── 7_30.txt │ │ ├── 7_31.txt │ │ ├── 7_32.txt │ │ ├── 7_33.txt │ │ ├── 7_34.txt │ │ ├── 7_35.txt │ │ ├── 7_36.txt │ │ ├── 7_37.txt │ │ ├── 7_38.txt │ │ ├── 7_39.txt │ │ ├── 7_4.txt │ │ ├── 7_40.txt │ │ ├── 7_41.txt │ │ ├── 7_42.txt │ │ ├── 7_43.txt │ │ ├── 7_44.txt │ │ ├── 7_45.txt │ │ ├── 7_46.txt │ │ ├── 7_47.txt │ │ ├── 7_48.txt │ │ ├── 7_49.txt │ │ ├── 7_5.txt │ │ ├── 7_50.txt │ │ ├── 7_51.txt │ │ ├── 7_52.txt │ │ ├── 7_53.txt │ │ ├── 7_54.txt │ │ ├── 7_55.txt │ │ ├── 7_56.txt │ │ ├── 7_57.txt │ │ ├── 7_58.txt │ │ ├── 7_59.txt │ │ ├── 7_6.txt │ │ ├── 7_60.txt │ │ ├── 7_61.txt │ │ ├── 7_62.txt │ │ ├── 7_63.txt │ │ ├── 7_64.txt │ │ ├── 7_65.txt │ │ ├── 7_66.txt │ │ ├── 7_67.txt │ │ ├── 7_68.txt │ │ ├── 7_69.txt │ │ ├── 7_7.txt │ │ ├── 7_70.txt │ │ ├── 7_71.txt │ │ ├── 7_72.txt │ │ ├── 7_73.txt │ │ ├── 7_74.txt │ │ ├── 7_75.txt │ │ ├── 7_76.txt │ │ ├── 7_77.txt │ │ ├── 7_78.txt │ │ ├── 7_79.txt │ │ ├── 7_8.txt │ │ ├── 7_80.txt │ │ ├── 7_81.txt │ │ ├── 7_82.txt │ │ ├── 7_83.txt │ │ ├── 7_84.txt │ │ ├── 7_85.txt │ │ ├── 7_86.txt │ │ ├── 7_87.txt │ │ ├── 7_88.txt │ │ ├── 7_89.txt │ │ ├── 7_9.txt │ │ ├── 7_90.txt │ │ ├── 7_91.txt │ │ ├── 7_92.txt │ │ ├── 7_93.txt │ │ ├── 7_94.txt │ │ ├── 7_95.txt │ │ ├── 8_0.txt │ │ ├── 8_1.txt │ │ ├── 8_10.txt │ │ ├── 8_11.txt │ │ ├── 8_12.txt │ │ ├── 8_13.txt │ │ ├── 8_14.txt │ │ ├── 8_15.txt │ │ ├── 8_16.txt │ │ ├── 8_17.txt │ │ ├── 8_18.txt │ │ ├── 8_19.txt │ │ ├── 8_2.txt │ │ ├── 8_20.txt │ │ ├── 8_21.txt │ │ ├── 8_22.txt │ │ ├── 8_23.txt │ │ ├── 8_24.txt │ │ ├── 8_25.txt │ │ ├── 8_26.txt │ │ ├── 8_27.txt │ │ ├── 8_28.txt │ │ ├── 8_29.txt │ │ ├── 8_3.txt │ │ ├── 8_30.txt │ │ ├── 8_31.txt │ │ ├── 8_32.txt │ │ ├── 8_33.txt │ │ ├── 8_34.txt │ │ ├── 8_35.txt │ │ ├── 8_36.txt │ │ ├── 8_37.txt │ │ ├── 8_38.txt │ │ ├── 8_39.txt │ │ ├── 8_4.txt │ │ ├── 8_40.txt │ │ ├── 8_41.txt │ │ ├── 8_42.txt │ │ ├── 8_43.txt │ │ ├── 8_44.txt │ │ ├── 8_45.txt │ │ ├── 8_46.txt │ │ ├── 8_47.txt │ │ ├── 8_48.txt │ │ ├── 8_49.txt │ │ ├── 8_5.txt │ │ ├── 8_50.txt │ │ ├── 8_51.txt │ │ ├── 8_52.txt │ │ ├── 8_53.txt │ │ ├── 8_54.txt │ │ ├── 8_55.txt │ │ ├── 8_56.txt │ │ ├── 8_57.txt │ │ ├── 8_58.txt │ │ ├── 8_59.txt │ │ ├── 8_6.txt │ │ ├── 8_60.txt │ │ ├── 8_61.txt │ │ ├── 8_62.txt │ │ ├── 8_63.txt │ │ ├── 8_64.txt │ │ ├── 8_65.txt │ │ ├── 8_66.txt │ │ ├── 8_67.txt │ │ ├── 8_68.txt │ │ ├── 8_69.txt │ │ ├── 8_7.txt │ │ ├── 8_70.txt │ │ ├── 8_71.txt │ │ ├── 8_72.txt │ │ ├── 8_73.txt │ │ ├── 8_74.txt │ │ ├── 8_75.txt │ │ ├── 8_76.txt │ │ ├── 8_77.txt │ │ ├── 8_78.txt │ │ ├── 8_79.txt │ │ ├── 8_8.txt │ │ ├── 8_80.txt │ │ ├── 8_81.txt │ │ ├── 8_82.txt │ │ ├── 8_83.txt │ │ ├── 8_84.txt │ │ ├── 8_85.txt │ │ ├── 8_86.txt │ │ ├── 8_87.txt │ │ ├── 8_88.txt │ │ ├── 8_89.txt │ │ ├── 8_9.txt │ │ ├── 8_90.txt │ │ ├── 9_0.txt │ │ ├── 9_1.txt │ │ ├── 9_10.txt │ │ ├── 9_11.txt │ │ ├── 9_12.txt │ │ ├── 9_13.txt │ │ ├── 9_14.txt │ │ ├── 9_15.txt │ │ ├── 9_16.txt │ │ ├── 9_17.txt │ │ ├── 9_18.txt │ │ ├── 9_19.txt │ │ ├── 9_2.txt │ │ ├── 9_20.txt │ │ ├── 9_21.txt │ │ ├── 9_22.txt │ │ ├── 9_23.txt │ │ ├── 9_24.txt │ │ ├── 9_25.txt │ │ ├── 9_26.txt │ │ ├── 9_27.txt │ │ ├── 9_28.txt │ │ ├── 9_29.txt │ │ ├── 9_3.txt │ │ ├── 9_30.txt │ │ ├── 9_31.txt │ │ ├── 9_32.txt │ │ ├── 9_33.txt │ │ ├── 9_34.txt │ │ ├── 9_35.txt │ │ ├── 9_36.txt │ │ ├── 9_37.txt │ │ ├── 9_38.txt │ │ ├── 9_39.txt │ │ ├── 9_4.txt │ │ ├── 9_40.txt │ │ ├── 9_41.txt │ │ ├── 9_42.txt │ │ ├── 9_43.txt │ │ ├── 9_44.txt │ │ ├── 9_45.txt │ │ ├── 9_46.txt │ │ ├── 9_47.txt │ │ ├── 9_48.txt │ │ ├── 9_49.txt │ │ ├── 9_5.txt │ │ ├── 9_50.txt │ │ ├── 9_51.txt │ │ ├── 9_52.txt │ │ ├── 9_53.txt │ │ ├── 9_54.txt │ │ ├── 9_55.txt │ │ ├── 9_56.txt │ │ ├── 9_57.txt │ │ ├── 9_58.txt │ │ ├── 9_59.txt │ │ ├── 9_6.txt │ │ ├── 9_60.txt │ │ ├── 9_61.txt │ │ ├── 9_62.txt │ │ ├── 9_63.txt │ │ ├── 9_64.txt │ │ ├── 9_65.txt │ │ ├── 9_66.txt │ │ ├── 9_67.txt │ │ ├── 9_68.txt │ │ ├── 9_69.txt │ │ ├── 9_7.txt │ │ ├── 9_70.txt │ │ ├── 9_71.txt │ │ ├── 9_72.txt │ │ ├── 9_73.txt │ │ ├── 9_74.txt │ │ ├── 9_75.txt │ │ ├── 9_76.txt │ │ ├── 9_77.txt │ │ ├── 9_78.txt │ │ ├── 9_79.txt │ │ ├── 9_8.txt │ │ ├── 9_80.txt │ │ ├── 9_81.txt │ │ ├── 9_82.txt │ │ ├── 9_83.txt │ │ ├── 9_84.txt │ │ ├── 9_85.txt │ │ ├── 9_86.txt │ │ ├── 9_87.txt │ │ ├── 9_88.txt │ │ └── 9_9.txt │ └── trainingDigits │ │ ├── 0_0.txt │ │ ├── 0_1.txt │ │ ├── 0_10.txt │ │ ├── 0_100.txt │ │ ├── 0_101.txt │ │ ├── 0_102.txt │ │ ├── 0_103.txt │ │ ├── 0_104.txt │ │ ├── 0_105.txt │ │ ├── 0_106.txt │ │ ├── 0_107.txt │ │ ├── 0_108.txt │ │ ├── 0_109.txt │ │ ├── 0_11.txt │ │ ├── 0_110.txt │ │ ├── 0_111.txt │ │ ├── 0_112.txt │ │ ├── 0_113.txt │ │ ├── 0_114.txt │ │ ├── 0_115.txt │ │ ├── 0_116.txt │ │ ├── 0_117.txt │ │ ├── 0_118.txt │ │ ├── 0_119.txt │ │ ├── 0_12.txt │ │ ├── 0_120.txt │ │ ├── 0_121.txt │ │ ├── 0_122.txt │ │ ├── 0_123.txt │ │ ├── 0_124.txt │ │ ├── 0_125.txt │ │ ├── 0_126.txt │ │ ├── 0_127.txt │ │ ├── 0_128.txt │ │ ├── 0_129.txt │ │ ├── 0_13.txt │ │ ├── 0_130.txt │ │ ├── 0_131.txt │ │ ├── 0_132.txt │ │ ├── 0_133.txt │ │ ├── 0_134.txt │ │ ├── 0_135.txt │ │ ├── 0_136.txt │ │ ├── 0_137.txt │ │ ├── 0_138.txt │ │ ├── 0_139.txt │ │ ├── 0_14.txt │ │ ├── 0_140.txt │ │ ├── 0_141.txt │ │ ├── 0_142.txt │ │ ├── 0_143.txt │ │ ├── 0_144.txt │ │ ├── 0_145.txt │ │ ├── 0_146.txt │ │ ├── 0_147.txt │ │ ├── 0_148.txt │ │ ├── 0_149.txt │ │ ├── 0_15.txt │ │ ├── 0_150.txt │ │ ├── 0_151.txt │ │ ├── 0_152.txt │ │ ├── 0_153.txt │ │ ├── 0_154.txt │ │ ├── 0_155.txt │ │ ├── 0_156.txt │ │ ├── 0_157.txt │ │ ├── 0_158.txt │ │ ├── 0_159.txt │ │ ├── 0_16.txt │ │ ├── 0_160.txt │ │ ├── 0_161.txt │ │ ├── 0_162.txt │ │ ├── 0_163.txt │ │ ├── 0_164.txt │ │ ├── 0_165.txt │ │ ├── 0_166.txt │ │ ├── 0_167.txt │ │ ├── 0_168.txt │ │ ├── 0_169.txt │ │ ├── 0_17.txt │ │ ├── 0_170.txt │ │ ├── 0_171.txt │ │ ├── 0_172.txt │ │ ├── 0_173.txt │ │ ├── 0_174.txt │ │ ├── 0_175.txt │ │ ├── 0_176.txt │ │ ├── 0_177.txt │ │ ├── 0_178.txt │ │ ├── 0_179.txt │ │ ├── 0_18.txt │ │ ├── 0_180.txt │ │ ├── 0_181.txt │ │ ├── 0_182.txt │ │ ├── 0_183.txt │ │ ├── 0_184.txt │ │ ├── 0_185.txt │ │ ├── 0_186.txt │ │ ├── 0_187.txt │ │ ├── 0_188.txt │ │ ├── 0_19.txt │ │ ├── 0_2.txt │ │ ├── 0_20.txt │ │ ├── 0_21.txt │ │ ├── 0_22.txt │ │ ├── 0_23.txt │ │ ├── 0_24.txt │ │ ├── 0_25.txt │ │ ├── 0_26.txt │ │ ├── 0_27.txt │ │ ├── 0_28.txt │ │ ├── 0_29.txt │ │ ├── 0_3.txt │ │ ├── 0_30.txt │ │ ├── 0_31.txt │ │ ├── 0_32.txt │ │ ├── 0_33.txt │ │ ├── 0_34.txt │ │ ├── 0_35.txt │ │ ├── 0_36.txt │ │ ├── 0_37.txt │ │ ├── 0_38.txt │ │ ├── 0_39.txt │ │ ├── 0_4.txt │ │ ├── 0_40.txt │ │ ├── 0_41.txt │ │ ├── 0_42.txt │ │ ├── 0_43.txt │ │ ├── 0_44.txt │ │ ├── 0_45.txt │ │ ├── 0_46.txt │ │ ├── 0_47.txt │ │ ├── 0_48.txt │ │ ├── 0_49.txt │ │ ├── 0_5.txt │ │ ├── 0_50.txt │ │ ├── 0_51.txt │ │ ├── 0_52.txt │ │ ├── 0_53.txt │ │ ├── 0_54.txt │ │ ├── 0_55.txt │ │ ├── 0_56.txt │ │ ├── 0_57.txt │ │ ├── 0_58.txt │ │ ├── 0_59.txt │ │ ├── 0_6.txt │ │ ├── 0_60.txt │ │ ├── 0_61.txt │ │ ├── 0_62.txt │ │ ├── 0_63.txt │ │ ├── 0_64.txt │ │ ├── 0_65.txt │ │ ├── 0_66.txt │ │ ├── 0_67.txt │ │ ├── 0_68.txt │ │ ├── 0_69.txt │ │ ├── 0_7.txt │ │ ├── 0_70.txt │ │ ├── 0_71.txt │ │ ├── 0_72.txt │ │ ├── 0_73.txt │ │ ├── 0_74.txt │ │ ├── 0_75.txt │ │ ├── 0_76.txt │ │ ├── 0_77.txt │ │ ├── 0_78.txt │ │ ├── 0_79.txt │ │ ├── 0_8.txt │ │ ├── 0_80.txt │ │ ├── 0_81.txt │ │ ├── 0_82.txt │ │ ├── 0_83.txt │ │ ├── 0_84.txt │ │ ├── 0_85.txt │ │ ├── 0_86.txt │ │ ├── 0_87.txt │ │ ├── 0_88.txt │ │ ├── 0_89.txt │ │ ├── 0_9.txt │ │ ├── 0_90.txt │ │ ├── 0_91.txt │ │ ├── 0_92.txt │ │ ├── 0_93.txt │ │ ├── 0_94.txt │ │ ├── 0_95.txt │ │ ├── 0_96.txt │ │ ├── 0_97.txt │ │ ├── 0_98.txt │ │ ├── 0_99.txt │ │ ├── 1_0.txt │ │ ├── 1_1.txt │ │ ├── 1_10.txt │ │ ├── 1_100.txt │ │ ├── 1_101.txt │ │ ├── 1_102.txt │ │ ├── 1_103.txt │ │ ├── 1_104.txt │ │ ├── 1_105.txt │ │ ├── 1_106.txt │ │ ├── 1_107.txt │ │ ├── 1_108.txt │ │ ├── 1_109.txt │ │ ├── 1_11.txt │ │ ├── 1_110.txt │ │ ├── 1_111.txt │ │ ├── 1_112.txt │ │ ├── 1_113.txt │ │ ├── 1_114.txt │ │ ├── 1_115.txt │ │ ├── 1_116.txt │ │ ├── 1_117.txt │ │ ├── 1_118.txt │ │ ├── 1_119.txt │ │ ├── 1_12.txt │ │ ├── 1_120.txt │ │ ├── 1_121.txt │ │ ├── 1_122.txt │ │ ├── 1_123.txt │ │ ├── 1_124.txt │ │ ├── 1_125.txt │ │ ├── 1_126.txt │ │ ├── 1_127.txt │ │ ├── 1_128.txt │ │ ├── 1_129.txt │ │ ├── 1_13.txt │ │ ├── 1_130.txt │ │ ├── 1_131.txt │ │ ├── 1_132.txt │ │ ├── 1_133.txt │ │ ├── 1_134.txt │ │ ├── 1_135.txt │ │ ├── 1_136.txt │ │ ├── 1_137.txt │ │ ├── 1_138.txt │ │ ├── 1_139.txt │ │ ├── 1_14.txt │ │ ├── 1_140.txt │ │ ├── 1_141.txt │ │ ├── 1_142.txt │ │ ├── 1_143.txt │ │ ├── 1_144.txt │ │ ├── 1_145.txt │ │ ├── 1_146.txt │ │ ├── 1_147.txt │ │ ├── 1_148.txt │ │ ├── 1_149.txt │ │ ├── 1_15.txt │ │ ├── 1_150.txt │ │ ├── 1_151.txt │ │ ├── 1_152.txt │ │ ├── 1_153.txt │ │ ├── 1_154.txt │ │ ├── 1_155.txt │ │ ├── 1_156.txt │ │ ├── 1_157.txt │ │ ├── 1_158.txt │ │ ├── 1_159.txt │ │ ├── 1_16.txt │ │ ├── 1_160.txt │ │ ├── 1_161.txt │ │ ├── 1_162.txt │ │ ├── 1_163.txt │ │ ├── 1_164.txt │ │ ├── 1_165.txt │ │ ├── 1_166.txt │ │ ├── 1_167.txt │ │ ├── 1_168.txt │ │ ├── 1_169.txt │ │ ├── 1_17.txt │ │ ├── 1_170.txt │ │ ├── 1_171.txt │ │ ├── 1_172.txt │ │ ├── 1_173.txt │ │ ├── 1_174.txt │ │ ├── 1_175.txt │ │ ├── 1_176.txt │ │ ├── 1_177.txt │ │ ├── 1_178.txt │ │ ├── 1_179.txt │ │ ├── 1_18.txt │ │ ├── 1_180.txt │ │ ├── 1_181.txt │ │ ├── 1_182.txt │ │ ├── 1_183.txt │ │ ├── 1_184.txt │ │ ├── 1_185.txt │ │ ├── 1_186.txt │ │ ├── 1_187.txt │ │ ├── 1_188.txt │ │ ├── 1_189.txt │ │ ├── 1_19.txt │ │ ├── 1_190.txt │ │ ├── 1_191.txt │ │ ├── 1_192.txt │ │ ├── 1_193.txt │ │ ├── 1_194.txt │ │ ├── 1_195.txt │ │ ├── 1_196.txt │ │ ├── 1_197.txt │ │ ├── 1_2.txt │ │ ├── 1_20.txt │ │ ├── 1_21.txt │ │ ├── 1_22.txt │ │ ├── 1_23.txt │ │ ├── 1_24.txt │ │ ├── 1_25.txt │ │ ├── 1_26.txt │ │ ├── 1_27.txt │ │ ├── 1_28.txt │ │ ├── 1_29.txt │ │ ├── 1_3.txt │ │ ├── 1_30.txt │ │ ├── 1_31.txt │ │ ├── 1_32.txt │ │ ├── 1_33.txt │ │ ├── 1_34.txt │ │ ├── 1_35.txt │ │ ├── 1_36.txt │ │ ├── 1_37.txt │ │ ├── 1_38.txt │ │ ├── 1_39.txt │ │ ├── 1_4.txt │ │ ├── 1_40.txt │ │ ├── 1_41.txt │ │ ├── 1_42.txt │ │ ├── 1_43.txt │ │ ├── 1_44.txt │ │ ├── 1_45.txt │ │ ├── 1_46.txt │ │ ├── 1_47.txt │ │ ├── 1_48.txt │ │ ├── 1_49.txt │ │ ├── 1_5.txt │ │ ├── 1_50.txt │ │ ├── 1_51.txt │ │ ├── 1_52.txt │ │ ├── 1_53.txt │ │ ├── 1_54.txt │ │ ├── 1_55.txt │ │ ├── 1_56.txt │ │ ├── 1_57.txt │ │ ├── 1_58.txt │ │ ├── 1_59.txt │ │ ├── 1_6.txt │ │ ├── 1_60.txt │ │ ├── 1_61.txt │ │ ├── 1_62.txt │ │ ├── 1_63.txt │ │ ├── 1_64.txt │ │ ├── 1_65.txt │ │ ├── 1_66.txt │ │ ├── 1_67.txt │ │ ├── 1_68.txt │ │ ├── 1_69.txt │ │ ├── 1_7.txt │ │ ├── 1_70.txt │ │ ├── 1_71.txt │ │ ├── 1_72.txt │ │ ├── 1_73.txt │ │ ├── 1_74.txt │ │ ├── 1_75.txt │ │ ├── 1_76.txt │ │ ├── 1_77.txt │ │ ├── 1_78.txt │ │ ├── 1_79.txt │ │ ├── 1_8.txt │ │ ├── 1_80.txt │ │ ├── 1_81.txt │ │ ├── 1_82.txt │ │ ├── 1_83.txt │ │ ├── 1_84.txt │ │ ├── 1_85.txt │ │ ├── 1_86.txt │ │ ├── 1_87.txt │ │ ├── 1_88.txt │ │ ├── 1_89.txt │ │ ├── 1_9.txt │ │ ├── 1_90.txt │ │ ├── 1_91.txt │ │ ├── 1_92.txt │ │ ├── 1_93.txt │ │ ├── 1_94.txt │ │ ├── 1_95.txt │ │ ├── 1_96.txt │ │ ├── 1_97.txt │ │ ├── 1_98.txt │ │ ├── 1_99.txt │ │ ├── 2_0.txt │ │ ├── 2_1.txt │ │ ├── 2_10.txt │ │ ├── 2_100.txt │ │ ├── 2_101.txt │ │ ├── 2_102.txt │ │ ├── 2_103.txt │ │ ├── 2_104.txt │ │ ├── 2_105.txt │ │ ├── 2_106.txt │ │ ├── 2_107.txt │ │ ├── 2_108.txt │ │ ├── 2_109.txt │ │ ├── 2_11.txt │ │ ├── 2_110.txt │ │ ├── 2_111.txt │ │ ├── 2_112.txt │ │ ├── 2_113.txt │ │ ├── 2_114.txt │ │ ├── 2_115.txt │ │ ├── 2_116.txt │ │ ├── 2_117.txt │ │ ├── 2_118.txt │ │ ├── 2_119.txt │ │ ├── 2_12.txt │ │ ├── 2_120.txt │ │ ├── 2_121.txt │ │ ├── 2_122.txt │ │ ├── 2_123.txt │ │ ├── 2_124.txt │ │ ├── 2_125.txt │ │ ├── 2_126.txt │ │ ├── 2_127.txt │ │ ├── 2_128.txt │ │ ├── 2_129.txt │ │ ├── 2_13.txt │ │ ├── 2_130.txt │ │ ├── 2_131.txt │ │ ├── 2_132.txt │ │ ├── 2_133.txt │ │ ├── 2_134.txt │ │ ├── 2_135.txt │ │ ├── 2_136.txt │ │ ├── 2_137.txt │ │ ├── 2_138.txt │ │ ├── 2_139.txt │ │ ├── 2_14.txt │ │ ├── 2_140.txt │ │ ├── 2_141.txt │ │ ├── 2_142.txt │ │ ├── 2_143.txt │ │ ├── 2_144.txt │ │ ├── 2_145.txt │ │ ├── 2_146.txt │ │ ├── 2_147.txt │ │ ├── 2_148.txt │ │ ├── 2_149.txt │ │ ├── 2_15.txt │ │ ├── 2_150.txt │ │ ├── 2_151.txt │ │ ├── 2_152.txt │ │ ├── 2_153.txt │ │ ├── 2_154.txt │ │ ├── 2_155.txt │ │ ├── 2_156.txt │ │ ├── 2_157.txt │ │ ├── 2_158.txt │ │ ├── 2_159.txt │ │ ├── 2_16.txt │ │ ├── 2_160.txt │ │ ├── 2_161.txt │ │ ├── 2_162.txt │ │ ├── 2_163.txt │ │ ├── 2_164.txt │ │ ├── 2_165.txt │ │ ├── 2_166.txt │ │ ├── 2_167.txt │ │ ├── 2_168.txt │ │ ├── 2_169.txt │ │ ├── 2_17.txt │ │ ├── 2_170.txt │ │ ├── 2_171.txt │ │ ├── 2_172.txt │ │ ├── 2_173.txt │ │ ├── 2_174.txt │ │ ├── 2_175.txt │ │ ├── 2_176.txt │ │ ├── 2_177.txt │ │ ├── 2_178.txt │ │ ├── 2_179.txt │ │ ├── 2_18.txt │ │ ├── 2_180.txt │ │ ├── 2_181.txt │ │ ├── 2_182.txt │ │ ├── 2_183.txt │ │ ├── 2_184.txt │ │ ├── 2_185.txt │ │ ├── 2_186.txt │ │ ├── 2_187.txt │ │ ├── 2_188.txt │ │ ├── 2_189.txt │ │ ├── 2_19.txt │ │ ├── 2_190.txt │ │ ├── 2_191.txt │ │ ├── 2_192.txt │ │ ├── 2_193.txt │ │ ├── 2_194.txt │ │ ├── 2_2.txt │ │ ├── 2_20.txt │ │ ├── 2_21.txt │ │ ├── 2_22.txt │ │ ├── 2_23.txt │ │ ├── 2_24.txt │ │ ├── 2_25.txt │ │ ├── 2_26.txt │ │ ├── 2_27.txt │ │ ├── 2_28.txt │ │ ├── 2_29.txt │ │ ├── 2_3.txt │ │ ├── 2_30.txt │ │ ├── 2_31.txt │ │ ├── 2_32.txt │ │ ├── 2_33.txt │ │ ├── 2_34.txt │ │ ├── 2_35.txt │ │ ├── 2_36.txt │ │ ├── 2_37.txt │ │ ├── 2_38.txt │ │ ├── 2_39.txt │ │ ├── 2_4.txt │ │ ├── 2_40.txt │ │ ├── 2_41.txt │ │ ├── 2_42.txt │ │ ├── 2_43.txt │ │ ├── 2_44.txt │ │ ├── 2_45.txt │ │ ├── 2_46.txt │ │ ├── 2_47.txt │ │ ├── 2_48.txt │ │ ├── 2_49.txt │ │ ├── 2_5.txt │ │ ├── 2_50.txt │ │ ├── 2_51.txt │ │ ├── 2_52.txt │ │ ├── 2_53.txt │ │ ├── 2_54.txt │ │ ├── 2_55.txt │ │ ├── 2_56.txt │ │ ├── 2_57.txt │ │ ├── 2_58.txt │ │ ├── 2_59.txt │ │ ├── 2_6.txt │ │ ├── 2_60.txt │ │ ├── 2_61.txt │ │ ├── 2_62.txt │ │ ├── 2_63.txt │ │ ├── 2_64.txt │ │ ├── 2_65.txt │ │ ├── 2_66.txt │ │ ├── 2_67.txt │ │ ├── 2_68.txt │ │ ├── 2_69.txt │ │ ├── 2_7.txt │ │ ├── 2_70.txt │ │ ├── 2_71.txt │ │ ├── 2_72.txt │ │ ├── 2_73.txt │ │ ├── 2_74.txt │ │ ├── 2_75.txt │ │ ├── 2_76.txt │ │ ├── 2_77.txt │ │ ├── 2_78.txt │ │ ├── 2_79.txt │ │ ├── 2_8.txt │ │ ├── 2_80.txt │ │ ├── 2_81.txt │ │ ├── 2_82.txt │ │ ├── 2_83.txt │ │ ├── 2_84.txt │ │ ├── 2_85.txt │ │ ├── 2_86.txt │ │ ├── 2_87.txt │ │ ├── 2_88.txt │ │ ├── 2_89.txt │ │ ├── 2_9.txt │ │ ├── 2_90.txt │ │ ├── 2_91.txt │ │ ├── 2_92.txt │ │ ├── 2_93.txt │ │ ├── 2_94.txt │ │ ├── 2_95.txt │ │ ├── 2_96.txt │ │ ├── 2_97.txt │ │ ├── 2_98.txt │ │ ├── 2_99.txt │ │ ├── 3_0.txt │ │ ├── 3_1.txt │ │ ├── 3_10.txt │ │ ├── 3_100.txt │ │ ├── 3_101.txt │ │ ├── 3_102.txt │ │ ├── 3_103.txt │ │ ├── 3_104.txt │ │ ├── 3_105.txt │ │ ├── 3_106.txt │ │ ├── 3_107.txt │ │ ├── 3_108.txt │ │ ├── 3_109.txt │ │ ├── 3_11.txt │ │ ├── 3_110.txt │ │ ├── 3_111.txt │ │ ├── 3_112.txt │ │ ├── 3_113.txt │ │ ├── 3_114.txt │ │ ├── 3_115.txt │ │ ├── 3_116.txt │ │ ├── 3_117.txt │ │ ├── 3_118.txt │ │ ├── 3_119.txt │ │ ├── 3_12.txt │ │ ├── 3_120.txt │ │ ├── 3_121.txt │ │ ├── 3_122.txt │ │ ├── 3_123.txt │ │ ├── 3_124.txt │ │ ├── 3_125.txt │ │ ├── 3_126.txt │ │ ├── 3_127.txt │ │ ├── 3_128.txt │ │ ├── 3_129.txt │ │ ├── 3_13.txt │ │ ├── 3_130.txt │ │ ├── 3_131.txt │ │ ├── 3_132.txt │ │ ├── 3_133.txt │ │ ├── 3_134.txt │ │ ├── 3_135.txt │ │ ├── 3_136.txt │ │ ├── 3_137.txt │ │ ├── 3_138.txt │ │ ├── 3_139.txt │ │ ├── 3_14.txt │ │ ├── 3_140.txt │ │ ├── 3_141.txt │ │ ├── 3_142.txt │ │ ├── 3_143.txt │ │ ├── 3_144.txt │ │ ├── 3_145.txt │ │ ├── 3_146.txt │ │ ├── 3_147.txt │ │ ├── 3_148.txt │ │ ├── 3_149.txt │ │ ├── 3_15.txt │ │ ├── 3_150.txt │ │ ├── 3_151.txt │ │ ├── 3_152.txt │ │ ├── 3_153.txt │ │ ├── 3_154.txt │ │ ├── 3_155.txt │ │ ├── 3_156.txt │ │ ├── 3_157.txt │ │ ├── 3_158.txt │ │ ├── 3_159.txt │ │ ├── 3_16.txt │ │ ├── 3_160.txt │ │ ├── 3_161.txt │ │ ├── 3_162.txt │ │ ├── 3_163.txt │ │ ├── 3_164.txt │ │ ├── 3_165.txt │ │ ├── 3_166.txt │ │ ├── 3_167.txt │ │ ├── 3_168.txt │ │ ├── 3_169.txt │ │ ├── 3_17.txt │ │ ├── 3_170.txt │ │ ├── 3_171.txt │ │ ├── 3_172.txt │ │ ├── 3_173.txt │ │ ├── 3_174.txt │ │ ├── 3_175.txt │ │ ├── 3_176.txt │ │ ├── 3_177.txt │ │ ├── 3_178.txt │ │ ├── 3_179.txt │ │ ├── 3_18.txt │ │ ├── 3_180.txt │ │ ├── 3_181.txt │ │ ├── 3_182.txt │ │ ├── 3_183.txt │ │ ├── 3_184.txt │ │ ├── 3_185.txt │ │ ├── 3_186.txt │ │ ├── 3_187.txt │ │ ├── 3_188.txt │ │ ├── 3_189.txt │ │ ├── 3_19.txt │ │ ├── 3_190.txt │ │ ├── 3_191.txt │ │ ├── 3_192.txt │ │ ├── 3_193.txt │ │ ├── 3_194.txt │ │ ├── 3_195.txt │ │ ├── 3_196.txt │ │ ├── 3_197.txt │ │ ├── 3_198.txt │ │ ├── 3_2.txt │ │ ├── 3_20.txt │ │ ├── 3_21.txt │ │ ├── 3_22.txt │ │ ├── 3_23.txt │ │ ├── 3_24.txt │ │ ├── 3_25.txt │ │ ├── 3_26.txt │ │ ├── 3_27.txt │ │ ├── 3_28.txt │ │ ├── 3_29.txt │ │ ├── 3_3.txt │ │ ├── 3_30.txt │ │ ├── 3_31.txt │ │ ├── 3_32.txt │ │ ├── 3_33.txt │ │ ├── 3_34.txt │ │ ├── 3_35.txt │ │ ├── 3_36.txt │ │ ├── 3_37.txt │ │ ├── 3_38.txt │ │ ├── 3_39.txt │ │ ├── 3_4.txt │ │ ├── 3_40.txt │ │ ├── 3_41.txt │ │ ├── 3_42.txt │ │ ├── 3_43.txt │ │ ├── 3_44.txt │ │ ├── 3_45.txt │ │ ├── 3_46.txt │ │ ├── 3_47.txt │ │ ├── 3_48.txt │ │ ├── 3_49.txt │ │ ├── 3_5.txt │ │ ├── 3_50.txt │ │ ├── 3_51.txt │ │ ├── 3_52.txt │ │ ├── 3_53.txt │ │ ├── 3_54.txt │ │ ├── 3_55.txt │ │ ├── 3_56.txt │ │ ├── 3_57.txt │ │ ├── 3_58.txt │ │ ├── 3_59.txt │ │ ├── 3_6.txt │ │ ├── 3_60.txt │ │ ├── 3_61.txt │ │ ├── 3_62.txt │ │ ├── 3_63.txt │ │ ├── 3_64.txt │ │ ├── 3_65.txt │ │ ├── 3_66.txt │ │ ├── 3_67.txt │ │ ├── 3_68.txt │ │ ├── 3_69.txt │ │ ├── 3_7.txt │ │ ├── 3_70.txt │ │ ├── 3_71.txt │ │ ├── 3_72.txt │ │ ├── 3_73.txt │ │ ├── 3_74.txt │ │ ├── 3_75.txt │ │ ├── 3_76.txt │ │ ├── 3_77.txt │ │ ├── 3_78.txt │ │ ├── 3_79.txt │ │ ├── 3_8.txt │ │ ├── 3_80.txt │ │ ├── 3_81.txt │ │ ├── 3_82.txt │ │ ├── 3_83.txt │ │ ├── 3_84.txt │ │ ├── 3_85.txt │ │ ├── 3_86.txt │ │ ├── 3_87.txt │ │ ├── 3_88.txt │ │ ├── 3_89.txt │ │ ├── 3_9.txt │ │ ├── 3_90.txt │ │ ├── 3_91.txt │ │ ├── 3_92.txt │ │ ├── 3_93.txt │ │ ├── 3_94.txt │ │ ├── 3_95.txt │ │ ├── 3_96.txt │ │ ├── 3_97.txt │ │ ├── 3_98.txt │ │ ├── 3_99.txt │ │ ├── 4_0.txt │ │ ├── 4_1.txt │ │ ├── 4_10.txt │ │ ├── 4_100.txt │ │ ├── 4_101.txt │ │ ├── 4_102.txt │ │ ├── 4_103.txt │ │ ├── 4_104.txt │ │ ├── 4_105.txt │ │ ├── 4_106.txt │ │ ├── 4_107.txt │ │ ├── 4_108.txt │ │ ├── 4_109.txt │ │ ├── 4_11.txt │ │ ├── 4_110.txt │ │ ├── 4_111.txt │ │ ├── 4_112.txt │ │ ├── 4_113.txt │ │ ├── 4_114.txt │ │ ├── 4_115.txt │ │ ├── 4_116.txt │ │ ├── 4_117.txt │ │ ├── 4_118.txt │ │ ├── 4_119.txt │ │ ├── 4_12.txt │ │ ├── 4_120.txt │ │ ├── 4_121.txt │ │ ├── 4_122.txt │ │ ├── 4_123.txt │ │ ├── 4_124.txt │ │ ├── 4_125.txt │ │ ├── 4_126.txt │ │ ├── 4_127.txt │ │ ├── 4_128.txt │ │ ├── 4_129.txt │ │ ├── 4_13.txt │ │ ├── 4_130.txt │ │ ├── 4_131.txt │ │ ├── 4_132.txt │ │ ├── 4_133.txt │ │ ├── 4_134.txt │ │ ├── 4_135.txt │ │ ├── 4_136.txt │ │ ├── 4_137.txt │ │ ├── 4_138.txt │ │ ├── 4_139.txt │ │ ├── 4_14.txt │ │ ├── 4_140.txt │ │ ├── 4_141.txt │ │ ├── 4_142.txt │ │ ├── 4_143.txt │ │ ├── 4_144.txt │ │ ├── 4_145.txt │ │ ├── 4_146.txt │ │ ├── 4_147.txt │ │ ├── 4_148.txt │ │ ├── 4_149.txt │ │ ├── 4_15.txt │ │ ├── 4_150.txt │ │ ├── 4_151.txt │ │ ├── 4_152.txt │ │ ├── 4_153.txt │ │ ├── 4_154.txt │ │ ├── 4_155.txt │ │ ├── 4_156.txt │ │ ├── 4_157.txt │ │ ├── 4_158.txt │ │ ├── 4_159.txt │ │ ├── 4_16.txt │ │ ├── 4_160.txt │ │ ├── 4_161.txt │ │ ├── 4_162.txt │ │ ├── 4_163.txt │ │ ├── 4_164.txt │ │ ├── 4_165.txt │ │ ├── 4_166.txt │ │ ├── 4_167.txt │ │ ├── 4_168.txt │ │ ├── 4_169.txt │ │ ├── 4_17.txt │ │ ├── 4_170.txt │ │ ├── 4_171.txt │ │ ├── 4_172.txt │ │ ├── 4_173.txt │ │ ├── 4_174.txt │ │ ├── 4_175.txt │ │ ├── 4_176.txt │ │ ├── 4_177.txt │ │ ├── 4_178.txt │ │ ├── 4_179.txt │ │ ├── 4_18.txt │ │ ├── 4_180.txt │ │ ├── 4_181.txt │ │ ├── 4_182.txt │ │ ├── 4_183.txt │ │ ├── 4_184.txt │ │ ├── 4_185.txt │ │ ├── 4_19.txt │ │ ├── 4_2.txt │ │ ├── 4_20.txt │ │ ├── 4_21.txt │ │ ├── 4_22.txt │ │ ├── 4_23.txt │ │ ├── 4_24.txt │ │ ├── 4_25.txt │ │ ├── 4_26.txt │ │ ├── 4_27.txt │ │ ├── 4_28.txt │ │ ├── 4_29.txt │ │ ├── 4_3.txt │ │ ├── 4_30.txt │ │ ├── 4_31.txt │ │ ├── 4_32.txt │ │ ├── 4_33.txt │ │ ├── 4_34.txt │ │ ├── 4_35.txt │ │ ├── 4_36.txt │ │ ├── 4_37.txt │ │ ├── 4_38.txt │ │ ├── 4_39.txt │ │ ├── 4_4.txt │ │ ├── 4_40.txt │ │ ├── 4_41.txt │ │ ├── 4_42.txt │ │ ├── 4_43.txt │ │ ├── 4_44.txt │ │ ├── 4_45.txt │ │ ├── 4_46.txt │ │ ├── 4_47.txt │ │ ├── 4_48.txt │ │ ├── 4_49.txt │ │ ├── 4_5.txt │ │ ├── 4_50.txt │ │ ├── 4_51.txt │ │ ├── 4_52.txt │ │ ├── 4_53.txt │ │ ├── 4_54.txt │ │ ├── 4_55.txt │ │ ├── 4_56.txt │ │ ├── 4_57.txt │ │ ├── 4_58.txt │ │ ├── 4_59.txt │ │ ├── 4_6.txt │ │ ├── 4_60.txt │ │ ├── 4_61.txt │ │ ├── 4_62.txt │ │ ├── 4_63.txt │ │ ├── 4_64.txt │ │ ├── 4_65.txt │ │ ├── 4_66.txt │ │ ├── 4_67.txt │ │ ├── 4_68.txt │ │ ├── 4_69.txt │ │ ├── 4_7.txt │ │ ├── 4_70.txt │ │ ├── 4_71.txt │ │ ├── 4_72.txt │ │ ├── 4_73.txt │ │ ├── 4_74.txt │ │ ├── 4_75.txt │ │ ├── 4_76.txt │ │ ├── 4_77.txt │ │ ├── 4_78.txt │ │ ├── 4_79.txt │ │ ├── 4_8.txt │ │ ├── 4_80.txt │ │ ├── 4_81.txt │ │ ├── 4_82.txt │ │ ├── 4_83.txt │ │ ├── 4_84.txt │ │ ├── 4_85.txt │ │ ├── 4_86.txt │ │ ├── 4_87.txt │ │ ├── 4_88.txt │ │ ├── 4_89.txt │ │ ├── 4_9.txt │ │ ├── 4_90.txt │ │ ├── 4_91.txt │ │ ├── 4_92.txt │ │ ├── 4_93.txt │ │ ├── 4_94.txt │ │ ├── 4_95.txt │ │ ├── 4_96.txt │ │ ├── 4_97.txt │ │ ├── 4_98.txt │ │ ├── 4_99.txt │ │ ├── 5_0.txt │ │ ├── 5_1.txt │ │ ├── 5_10.txt │ │ ├── 5_100.txt │ │ ├── 5_101.txt │ │ ├── 5_102.txt │ │ ├── 5_103.txt │ │ ├── 5_104.txt │ │ ├── 5_105.txt │ │ ├── 5_106.txt │ │ ├── 5_107.txt │ │ ├── 5_108.txt │ │ ├── 5_109.txt │ │ ├── 5_11.txt │ │ ├── 5_110.txt │ │ ├── 5_111.txt │ │ ├── 5_112.txt │ │ ├── 5_113.txt │ │ ├── 5_114.txt │ │ ├── 5_115.txt │ │ ├── 5_116.txt │ │ ├── 5_117.txt │ │ ├── 5_118.txt │ │ ├── 5_119.txt │ │ ├── 5_12.txt │ │ ├── 5_120.txt │ │ ├── 5_121.txt │ │ ├── 5_122.txt │ │ ├── 5_123.txt │ │ ├── 5_124.txt │ │ ├── 5_125.txt │ │ ├── 5_126.txt │ │ ├── 5_127.txt │ │ ├── 5_128.txt │ │ ├── 5_129.txt │ │ ├── 5_13.txt │ │ ├── 5_130.txt │ │ ├── 5_131.txt │ │ ├── 5_132.txt │ │ ├── 5_133.txt │ │ ├── 5_134.txt │ │ ├── 5_135.txt │ │ ├── 5_136.txt │ │ ├── 5_137.txt │ │ ├── 5_138.txt │ │ ├── 5_139.txt │ │ ├── 5_14.txt │ │ ├── 5_140.txt │ │ ├── 5_141.txt │ │ ├── 5_142.txt │ │ ├── 5_143.txt │ │ ├── 5_144.txt │ │ ├── 5_145.txt │ │ ├── 5_146.txt │ │ ├── 5_147.txt │ │ ├── 5_148.txt │ │ ├── 5_149.txt │ │ ├── 5_15.txt │ │ ├── 5_150.txt │ │ ├── 5_151.txt │ │ ├── 5_152.txt │ │ ├── 5_153.txt │ │ ├── 5_154.txt │ │ ├── 5_155.txt │ │ ├── 5_156.txt │ │ ├── 5_157.txt │ │ ├── 5_158.txt │ │ ├── 5_159.txt │ │ ├── 5_16.txt │ │ ├── 5_160.txt │ │ ├── 5_161.txt │ │ ├── 5_162.txt │ │ ├── 5_163.txt │ │ ├── 5_164.txt │ │ ├── 5_165.txt │ │ ├── 5_166.txt │ │ ├── 5_167.txt │ │ ├── 5_168.txt │ │ ├── 5_169.txt │ │ ├── 5_17.txt │ │ ├── 5_170.txt │ │ ├── 5_171.txt │ │ ├── 5_172.txt │ │ ├── 5_173.txt │ │ ├── 5_174.txt │ │ ├── 5_175.txt │ │ ├── 5_176.txt │ │ ├── 5_177.txt │ │ ├── 5_178.txt │ │ ├── 5_179.txt │ │ ├── 5_18.txt │ │ ├── 5_180.txt │ │ ├── 5_181.txt │ │ ├── 5_182.txt │ │ ├── 5_183.txt │ │ ├── 5_184.txt │ │ ├── 5_185.txt │ │ ├── 5_186.txt │ │ ├── 5_19.txt │ │ ├── 5_2.txt │ │ ├── 5_20.txt │ │ ├── 5_21.txt │ │ ├── 5_22.txt │ │ ├── 5_23.txt │ │ ├── 5_24.txt │ │ ├── 5_25.txt │ │ ├── 5_26.txt │ │ ├── 5_27.txt │ │ ├── 5_28.txt │ │ ├── 5_29.txt │ │ ├── 5_3.txt │ │ ├── 5_30.txt │ │ ├── 5_31.txt │ │ ├── 5_32.txt │ │ ├── 5_33.txt │ │ ├── 5_34.txt │ │ ├── 5_35.txt │ │ ├── 5_36.txt │ │ ├── 5_37.txt │ │ ├── 5_38.txt │ │ ├── 5_39.txt │ │ ├── 5_4.txt │ │ ├── 5_40.txt │ │ ├── 5_41.txt │ │ ├── 5_42.txt │ │ ├── 5_43.txt │ │ ├── 5_44.txt │ │ ├── 5_45.txt │ │ ├── 5_46.txt │ │ ├── 5_47.txt │ │ ├── 5_48.txt │ │ ├── 5_49.txt │ │ ├── 5_5.txt │ │ ├── 5_50.txt │ │ ├── 5_51.txt │ │ ├── 5_52.txt │ │ ├── 5_53.txt │ │ ├── 5_54.txt │ │ ├── 5_55.txt │ │ ├── 5_56.txt │ │ ├── 5_57.txt │ │ ├── 5_58.txt │ │ ├── 5_59.txt │ │ ├── 5_6.txt │ │ ├── 5_60.txt │ │ ├── 5_61.txt │ │ ├── 5_62.txt │ │ ├── 5_63.txt │ │ ├── 5_64.txt │ │ ├── 5_65.txt │ │ ├── 5_66.txt │ │ ├── 5_67.txt │ │ ├── 5_68.txt │ │ ├── 5_69.txt │ │ ├── 5_7.txt │ │ ├── 5_70.txt │ │ ├── 5_71.txt │ │ ├── 5_72.txt │ │ ├── 5_73.txt │ │ ├── 5_74.txt │ │ ├── 5_75.txt │ │ ├── 5_76.txt │ │ ├── 5_77.txt │ │ ├── 5_78.txt │ │ ├── 5_79.txt │ │ ├── 5_8.txt │ │ ├── 5_80.txt │ │ ├── 5_81.txt │ │ ├── 5_82.txt │ │ ├── 5_83.txt │ │ ├── 5_84.txt │ │ ├── 5_85.txt │ │ ├── 5_86.txt │ │ ├── 5_87.txt │ │ ├── 5_88.txt │ │ ├── 5_89.txt │ │ ├── 5_9.txt │ │ ├── 5_90.txt │ │ ├── 5_91.txt │ │ ├── 5_92.txt │ │ ├── 5_93.txt │ │ ├── 5_94.txt │ │ ├── 5_95.txt │ │ ├── 5_96.txt │ │ ├── 5_97.txt │ │ ├── 5_98.txt │ │ ├── 5_99.txt │ │ ├── 6_0.txt │ │ ├── 6_1.txt │ │ ├── 6_10.txt │ │ ├── 6_100.txt │ │ ├── 6_101.txt │ │ ├── 6_102.txt │ │ ├── 6_103.txt │ │ ├── 6_104.txt │ │ ├── 6_105.txt │ │ ├── 6_106.txt │ │ ├── 6_107.txt │ │ ├── 6_108.txt │ │ ├── 6_109.txt │ │ ├── 6_11.txt │ │ ├── 6_110.txt │ │ ├── 6_111.txt │ │ ├── 6_112.txt │ │ ├── 6_113.txt │ │ ├── 6_114.txt │ │ ├── 6_115.txt │ │ ├── 6_116.txt │ │ ├── 6_117.txt │ │ ├── 6_118.txt │ │ ├── 6_119.txt │ │ ├── 6_12.txt │ │ ├── 6_120.txt │ │ ├── 6_121.txt │ │ ├── 6_122.txt │ │ ├── 6_123.txt │ │ ├── 6_124.txt │ │ ├── 6_125.txt │ │ ├── 6_126.txt │ │ ├── 6_127.txt │ │ ├── 6_128.txt │ │ ├── 6_129.txt │ │ ├── 6_13.txt │ │ ├── 6_130.txt │ │ ├── 6_131.txt │ │ ├── 6_132.txt │ │ ├── 6_133.txt │ │ ├── 6_134.txt │ │ ├── 6_135.txt │ │ ├── 6_136.txt │ │ ├── 6_137.txt │ │ ├── 6_138.txt │ │ ├── 6_139.txt │ │ ├── 6_14.txt │ │ ├── 6_140.txt │ │ ├── 6_141.txt │ │ ├── 6_142.txt │ │ ├── 6_143.txt │ │ ├── 6_144.txt │ │ ├── 6_145.txt │ │ ├── 6_146.txt │ │ ├── 6_147.txt │ │ ├── 6_148.txt │ │ ├── 6_149.txt │ │ ├── 6_15.txt │ │ ├── 6_150.txt │ │ ├── 6_151.txt │ │ ├── 6_152.txt │ │ ├── 6_153.txt │ │ ├── 6_154.txt │ │ ├── 6_155.txt │ │ ├── 6_156.txt │ │ ├── 6_157.txt │ │ ├── 6_158.txt │ │ ├── 6_159.txt │ │ ├── 6_16.txt │ │ ├── 6_160.txt │ │ ├── 6_161.txt │ │ ├── 6_162.txt │ │ ├── 6_163.txt │ │ ├── 6_164.txt │ │ ├── 6_165.txt │ │ ├── 6_166.txt │ │ ├── 6_167.txt │ │ ├── 6_168.txt │ │ ├── 6_169.txt │ │ ├── 6_17.txt │ │ ├── 6_170.txt │ │ ├── 6_171.txt │ │ ├── 6_172.txt │ │ ├── 6_173.txt │ │ ├── 6_174.txt │ │ ├── 6_175.txt │ │ ├── 6_176.txt │ │ ├── 6_177.txt │ │ ├── 6_178.txt │ │ ├── 6_179.txt │ │ ├── 6_18.txt │ │ ├── 6_180.txt │ │ ├── 6_181.txt │ │ ├── 6_182.txt │ │ ├── 6_183.txt │ │ ├── 6_184.txt │ │ ├── 6_185.txt │ │ ├── 6_186.txt │ │ ├── 6_187.txt │ │ ├── 6_188.txt │ │ ├── 6_189.txt │ │ ├── 6_19.txt │ │ ├── 6_190.txt │ │ ├── 6_191.txt │ │ ├── 6_192.txt │ │ ├── 6_193.txt │ │ ├── 6_194.txt │ │ ├── 6_2.txt │ │ ├── 6_20.txt │ │ ├── 6_21.txt │ │ ├── 6_22.txt │ │ ├── 6_23.txt │ │ ├── 6_24.txt │ │ ├── 6_25.txt │ │ ├── 6_26.txt │ │ ├── 6_27.txt │ │ ├── 6_28.txt │ │ ├── 6_29.txt │ │ ├── 6_3.txt │ │ ├── 6_30.txt │ │ ├── 6_31.txt │ │ ├── 6_32.txt │ │ ├── 6_33.txt │ │ ├── 6_34.txt │ │ ├── 6_35.txt │ │ ├── 6_36.txt │ │ ├── 6_37.txt │ │ ├── 6_38.txt │ │ ├── 6_39.txt │ │ ├── 6_4.txt │ │ ├── 6_40.txt │ │ ├── 6_41.txt │ │ ├── 6_42.txt │ │ ├── 6_43.txt │ │ ├── 6_44.txt │ │ ├── 6_45.txt │ │ ├── 6_46.txt │ │ ├── 6_47.txt │ │ ├── 6_48.txt │ │ ├── 6_49.txt │ │ ├── 6_5.txt │ │ ├── 6_50.txt │ │ ├── 6_51.txt │ │ ├── 6_52.txt │ │ ├── 6_53.txt │ │ ├── 6_54.txt │ │ ├── 6_55.txt │ │ ├── 6_56.txt │ │ ├── 6_57.txt │ │ ├── 6_58.txt │ │ ├── 6_59.txt │ │ ├── 6_6.txt │ │ ├── 6_60.txt │ │ ├── 6_61.txt │ │ ├── 6_62.txt │ │ ├── 6_63.txt │ │ ├── 6_64.txt │ │ ├── 6_65.txt │ │ ├── 6_66.txt │ │ ├── 6_67.txt │ │ ├── 6_68.txt │ │ ├── 6_69.txt │ │ ├── 6_7.txt │ │ ├── 6_70.txt │ │ ├── 6_71.txt │ │ ├── 6_72.txt │ │ ├── 6_73.txt │ │ ├── 6_74.txt │ │ ├── 6_75.txt │ │ ├── 6_76.txt │ │ ├── 6_77.txt │ │ ├── 6_78.txt │ │ ├── 6_79.txt │ │ ├── 6_8.txt │ │ ├── 6_80.txt │ │ ├── 6_81.txt │ │ ├── 6_82.txt │ │ ├── 6_83.txt │ │ ├── 6_84.txt │ │ ├── 6_85.txt │ │ ├── 6_86.txt │ │ ├── 6_87.txt │ │ ├── 6_88.txt │ │ ├── 6_89.txt │ │ ├── 6_9.txt │ │ ├── 6_90.txt │ │ ├── 6_91.txt │ │ ├── 6_92.txt │ │ ├── 6_93.txt │ │ ├── 6_94.txt │ │ ├── 6_95.txt │ │ ├── 6_96.txt │ │ ├── 6_97.txt │ │ ├── 6_98.txt │ │ ├── 6_99.txt │ │ ├── 7_0.txt │ │ ├── 7_1.txt │ │ ├── 7_10.txt │ │ ├── 7_100.txt │ │ ├── 7_101.txt │ │ ├── 7_102.txt │ │ ├── 7_103.txt │ │ ├── 7_104.txt │ │ ├── 7_105.txt │ │ ├── 7_106.txt │ │ ├── 7_107.txt │ │ ├── 7_108.txt │ │ ├── 7_109.txt │ │ ├── 7_11.txt │ │ ├── 7_110.txt │ │ ├── 7_111.txt │ │ ├── 7_112.txt │ │ ├── 7_113.txt │ │ ├── 7_114.txt │ │ ├── 7_115.txt │ │ ├── 7_116.txt │ │ ├── 7_117.txt │ │ ├── 7_118.txt │ │ ├── 7_119.txt │ │ ├── 7_12.txt │ │ ├── 7_120.txt │ │ ├── 7_121.txt │ │ ├── 7_122.txt │ │ ├── 7_123.txt │ │ ├── 7_124.txt │ │ ├── 7_125.txt │ │ ├── 7_126.txt │ │ ├── 7_127.txt │ │ ├── 7_128.txt │ │ ├── 7_129.txt │ │ ├── 7_13.txt │ │ ├── 7_130.txt │ │ ├── 7_131.txt │ │ ├── 7_132.txt │ │ ├── 7_133.txt │ │ ├── 7_134.txt │ │ ├── 7_135.txt │ │ ├── 7_136.txt │ │ ├── 7_137.txt │ │ ├── 7_138.txt │ │ ├── 7_139.txt │ │ ├── 7_14.txt │ │ ├── 7_140.txt │ │ ├── 7_141.txt │ │ ├── 7_142.txt │ │ ├── 7_143.txt │ │ ├── 7_144.txt │ │ ├── 7_145.txt │ │ ├── 7_146.txt │ │ ├── 7_147.txt │ │ ├── 7_148.txt │ │ ├── 7_149.txt │ │ ├── 7_15.txt │ │ ├── 7_150.txt │ │ ├── 7_151.txt │ │ ├── 7_152.txt │ │ ├── 7_153.txt │ │ ├── 7_154.txt │ │ ├── 7_155.txt │ │ ├── 7_156.txt │ │ ├── 7_157.txt │ │ ├── 7_158.txt │ │ ├── 7_159.txt │ │ ├── 7_16.txt │ │ ├── 7_160.txt │ │ ├── 7_161.txt │ │ ├── 7_162.txt │ │ ├── 7_163.txt │ │ ├── 7_164.txt │ │ ├── 7_165.txt │ │ ├── 7_166.txt │ │ ├── 7_167.txt │ │ ├── 7_168.txt │ │ ├── 7_169.txt │ │ ├── 7_17.txt │ │ ├── 7_170.txt │ │ ├── 7_171.txt │ │ ├── 7_172.txt │ │ ├── 7_173.txt │ │ ├── 7_174.txt │ │ ├── 7_175.txt │ │ ├── 7_176.txt │ │ ├── 7_177.txt │ │ ├── 7_178.txt │ │ ├── 7_179.txt │ │ ├── 7_18.txt │ │ ├── 7_180.txt │ │ ├── 7_181.txt │ │ ├── 7_182.txt │ │ ├── 7_183.txt │ │ ├── 7_184.txt │ │ ├── 7_185.txt │ │ ├── 7_186.txt │ │ ├── 7_187.txt │ │ ├── 7_188.txt │ │ ├── 7_189.txt │ │ ├── 7_19.txt │ │ ├── 7_190.txt │ │ ├── 7_191.txt │ │ ├── 7_192.txt │ │ ├── 7_193.txt │ │ ├── 7_194.txt │ │ ├── 7_195.txt │ │ ├── 7_196.txt │ │ ├── 7_197.txt │ │ ├── 7_198.txt │ │ ├── 7_199.txt │ │ ├── 7_2.txt │ │ ├── 7_20.txt │ │ ├── 7_200.txt │ │ ├── 7_21.txt │ │ ├── 7_22.txt │ │ ├── 7_23.txt │ │ ├── 7_24.txt │ │ ├── 7_25.txt │ │ ├── 7_26.txt │ │ ├── 7_27.txt │ │ ├── 7_28.txt │ │ ├── 7_29.txt │ │ ├── 7_3.txt │ │ ├── 7_30.txt │ │ ├── 7_31.txt │ │ ├── 7_32.txt │ │ ├── 7_33.txt │ │ ├── 7_34.txt │ │ ├── 7_35.txt │ │ ├── 7_36.txt │ │ ├── 7_37.txt │ │ ├── 7_38.txt │ │ ├── 7_39.txt │ │ ├── 7_4.txt │ │ ├── 7_40.txt │ │ ├── 7_41.txt │ │ ├── 7_42.txt │ │ ├── 7_43.txt │ │ ├── 7_44.txt │ │ ├── 7_45.txt │ │ ├── 7_46.txt │ │ ├── 7_47.txt │ │ ├── 7_48.txt │ │ ├── 7_49.txt │ │ ├── 7_5.txt │ │ ├── 7_50.txt │ │ ├── 7_51.txt │ │ ├── 7_52.txt │ │ ├── 7_53.txt │ │ ├── 7_54.txt │ │ ├── 7_55.txt │ │ ├── 7_56.txt │ │ ├── 7_57.txt │ │ ├── 7_58.txt │ │ ├── 7_59.txt │ │ ├── 7_6.txt │ │ ├── 7_60.txt │ │ ├── 7_61.txt │ │ ├── 7_62.txt │ │ ├── 7_63.txt │ │ ├── 7_64.txt │ │ ├── 7_65.txt │ │ ├── 7_66.txt │ │ ├── 7_67.txt │ │ ├── 7_68.txt │ │ ├── 7_69.txt │ │ ├── 7_7.txt │ │ ├── 7_70.txt │ │ ├── 7_71.txt │ │ ├── 7_72.txt │ │ ├── 7_73.txt │ │ ├── 7_74.txt │ │ ├── 7_75.txt │ │ ├── 7_76.txt │ │ ├── 7_77.txt │ │ ├── 7_78.txt │ │ ├── 7_79.txt │ │ ├── 7_8.txt │ │ ├── 7_80.txt │ │ ├── 7_81.txt │ │ ├── 7_82.txt │ │ ├── 7_83.txt │ │ ├── 7_84.txt │ │ ├── 7_85.txt │ │ ├── 7_86.txt │ │ ├── 7_87.txt │ │ ├── 7_88.txt │ │ ├── 7_89.txt │ │ ├── 7_9.txt │ │ ├── 7_90.txt │ │ ├── 7_91.txt │ │ ├── 7_92.txt │ │ ├── 7_93.txt │ │ ├── 7_94.txt │ │ ├── 7_95.txt │ │ ├── 7_96.txt │ │ ├── 7_97.txt │ │ ├── 7_98.txt │ │ ├── 7_99.txt │ │ ├── 8_0.txt │ │ ├── 8_1.txt │ │ ├── 8_10.txt │ │ ├── 8_100.txt │ │ ├── 8_101.txt │ │ ├── 8_102.txt │ │ ├── 8_103.txt │ │ ├── 8_104.txt │ │ ├── 8_105.txt │ │ ├── 8_106.txt │ │ ├── 8_107.txt │ │ ├── 8_108.txt │ │ ├── 8_109.txt │ │ ├── 8_11.txt │ │ ├── 8_110.txt │ │ ├── 8_111.txt │ │ ├── 8_112.txt │ │ ├── 8_113.txt │ │ ├── 8_114.txt │ │ ├── 8_115.txt │ │ ├── 8_116.txt │ │ ├── 8_117.txt │ │ ├── 8_118.txt │ │ ├── 8_119.txt │ │ ├── 8_12.txt │ │ ├── 8_120.txt │ │ ├── 8_121.txt │ │ ├── 8_122.txt │ │ ├── 8_123.txt │ │ ├── 8_124.txt │ │ ├── 8_125.txt │ │ ├── 8_126.txt │ │ ├── 8_127.txt │ │ ├── 8_128.txt │ │ ├── 8_129.txt │ │ ├── 8_13.txt │ │ ├── 8_130.txt │ │ ├── 8_131.txt │ │ ├── 8_132.txt │ │ ├── 8_133.txt │ │ ├── 8_134.txt │ │ ├── 8_135.txt │ │ ├── 8_136.txt │ │ ├── 8_137.txt │ │ ├── 8_138.txt │ │ ├── 8_139.txt │ │ ├── 8_14.txt │ │ ├── 8_140.txt │ │ ├── 8_141.txt │ │ ├── 8_142.txt │ │ ├── 8_143.txt │ │ ├── 8_144.txt │ │ ├── 8_145.txt │ │ ├── 8_146.txt │ │ ├── 8_147.txt │ │ ├── 8_148.txt │ │ ├── 8_149.txt │ │ ├── 8_15.txt │ │ ├── 8_150.txt │ │ ├── 8_151.txt │ │ ├── 8_152.txt │ │ ├── 8_153.txt │ │ ├── 8_154.txt │ │ ├── 8_155.txt │ │ ├── 8_156.txt │ │ ├── 8_157.txt │ │ ├── 8_158.txt │ │ ├── 8_159.txt │ │ ├── 8_16.txt │ │ ├── 8_160.txt │ │ ├── 8_161.txt │ │ ├── 8_162.txt │ │ ├── 8_163.txt │ │ ├── 8_164.txt │ │ ├── 8_165.txt │ │ ├── 8_166.txt │ │ ├── 8_167.txt │ │ ├── 8_168.txt │ │ ├── 8_169.txt │ │ ├── 8_17.txt │ │ ├── 8_170.txt │ │ ├── 8_171.txt │ │ ├── 8_172.txt │ │ ├── 8_173.txt │ │ ├── 8_174.txt │ │ ├── 8_175.txt │ │ ├── 8_176.txt │ │ ├── 8_177.txt │ │ ├── 8_178.txt │ │ ├── 8_179.txt │ │ ├── 8_18.txt │ │ ├── 8_19.txt │ │ ├── 8_2.txt │ │ ├── 8_20.txt │ │ ├── 8_21.txt │ │ ├── 8_22.txt │ │ ├── 8_23.txt │ │ ├── 8_24.txt │ │ ├── 8_25.txt │ │ ├── 8_26.txt │ │ ├── 8_27.txt │ │ ├── 8_28.txt │ │ ├── 8_29.txt │ │ ├── 8_3.txt │ │ ├── 8_30.txt │ │ ├── 8_31.txt │ │ ├── 8_32.txt │ │ ├── 8_33.txt │ │ ├── 8_34.txt │ │ ├── 8_35.txt │ │ ├── 8_36.txt │ │ ├── 8_37.txt │ │ ├── 8_38.txt │ │ ├── 8_39.txt │ │ ├── 8_4.txt │ │ ├── 8_40.txt │ │ ├── 8_41.txt │ │ ├── 8_42.txt │ │ ├── 8_43.txt │ │ ├── 8_44.txt │ │ ├── 8_45.txt │ │ ├── 8_46.txt │ │ ├── 8_47.txt │ │ ├── 8_48.txt │ │ ├── 8_49.txt │ │ ├── 8_5.txt │ │ ├── 8_50.txt │ │ ├── 8_51.txt │ │ ├── 8_52.txt │ │ ├── 8_53.txt │ │ ├── 8_54.txt │ │ ├── 8_55.txt │ │ ├── 8_56.txt │ │ ├── 8_57.txt │ │ ├── 8_58.txt │ │ ├── 8_59.txt │ │ ├── 8_6.txt │ │ ├── 8_60.txt │ │ ├── 8_61.txt │ │ ├── 8_62.txt │ │ ├── 8_63.txt │ │ ├── 8_64.txt │ │ ├── 8_65.txt │ │ ├── 8_66.txt │ │ ├── 8_67.txt │ │ ├── 8_68.txt │ │ ├── 8_69.txt │ │ ├── 8_7.txt │ │ ├── 8_70.txt │ │ ├── 8_71.txt │ │ ├── 8_72.txt │ │ ├── 8_73.txt │ │ ├── 8_74.txt │ │ ├── 8_75.txt │ │ ├── 8_76.txt │ │ ├── 8_77.txt │ │ ├── 8_78.txt │ │ ├── 8_79.txt │ │ ├── 8_8.txt │ │ ├── 8_80.txt │ │ ├── 8_81.txt │ │ ├── 8_82.txt │ │ ├── 8_83.txt │ │ ├── 8_84.txt │ │ ├── 8_85.txt │ │ ├── 8_86.txt │ │ ├── 8_87.txt │ │ ├── 8_88.txt │ │ ├── 8_89.txt │ │ ├── 8_9.txt │ │ ├── 8_90.txt │ │ ├── 8_91.txt │ │ ├── 8_92.txt │ │ ├── 8_93.txt │ │ ├── 8_94.txt │ │ ├── 8_95.txt │ │ ├── 8_96.txt │ │ ├── 8_97.txt │ │ ├── 8_98.txt │ │ ├── 8_99.txt │ │ ├── 9_0.txt │ │ ├── 9_1.txt │ │ ├── 9_10.txt │ │ ├── 9_100.txt │ │ ├── 9_101.txt │ │ ├── 9_102.txt │ │ ├── 9_103.txt │ │ ├── 9_104.txt │ │ ├── 9_105.txt │ │ ├── 9_106.txt │ │ ├── 9_107.txt │ │ ├── 9_108.txt │ │ ├── 9_109.txt │ │ ├── 9_11.txt │ │ ├── 9_110.txt │ │ ├── 9_111.txt │ │ ├── 9_112.txt │ │ ├── 9_113.txt │ │ ├── 9_114.txt │ │ ├── 9_115.txt │ │ ├── 9_116.txt │ │ ├── 9_117.txt │ │ ├── 9_118.txt │ │ ├── 9_119.txt │ │ ├── 9_12.txt │ │ ├── 9_120.txt │ │ ├── 9_121.txt │ │ ├── 9_122.txt │ │ ├── 9_123.txt │ │ ├── 9_124.txt │ │ ├── 9_125.txt │ │ ├── 9_126.txt │ │ ├── 9_127.txt │ │ ├── 9_128.txt │ │ ├── 9_129.txt │ │ ├── 9_13.txt │ │ ├── 9_130.txt │ │ ├── 9_131.txt │ │ ├── 9_132.txt │ │ ├── 9_133.txt │ │ ├── 9_134.txt │ │ ├── 9_135.txt │ │ ├── 9_136.txt │ │ ├── 9_137.txt │ │ ├── 9_138.txt │ │ ├── 9_139.txt │ │ ├── 9_14.txt │ │ ├── 9_140.txt │ │ ├── 9_141.txt │ │ ├── 9_142.txt │ │ ├── 9_143.txt │ │ ├── 9_144.txt │ │ ├── 9_145.txt │ │ ├── 9_146.txt │ │ ├── 9_147.txt │ │ ├── 9_148.txt │ │ ├── 9_149.txt │ │ ├── 9_15.txt │ │ ├── 9_150.txt │ │ ├── 9_151.txt │ │ ├── 9_152.txt │ │ ├── 9_153.txt │ │ ├── 9_154.txt │ │ ├── 9_155.txt │ │ ├── 9_156.txt │ │ ├── 9_157.txt │ │ ├── 9_158.txt │ │ ├── 9_159.txt │ │ ├── 9_16.txt │ │ ├── 9_160.txt │ │ ├── 9_161.txt │ │ ├── 9_162.txt │ │ ├── 9_163.txt │ │ ├── 9_164.txt │ │ ├── 9_165.txt │ │ ├── 9_166.txt │ │ ├── 9_167.txt │ │ ├── 9_168.txt │ │ ├── 9_169.txt │ │ ├── 9_17.txt │ │ ├── 9_170.txt │ │ ├── 9_171.txt │ │ ├── 9_172.txt │ │ ├── 9_173.txt │ │ ├── 9_174.txt │ │ ├── 9_175.txt │ │ ├── 9_176.txt │ │ ├── 9_177.txt │ │ ├── 9_178.txt │ │ ├── 9_179.txt │ │ ├── 9_18.txt │ │ ├── 9_180.txt │ │ ├── 9_181.txt │ │ ├── 9_182.txt │ │ ├── 9_183.txt │ │ ├── 9_184.txt │ │ ├── 9_185.txt │ │ ├── 9_186.txt │ │ ├── 9_187.txt │ │ ├── 9_188.txt │ │ ├── 9_189.txt │ │ ├── 9_19.txt │ │ ├── 9_190.txt │ │ ├── 9_191.txt │ │ ├── 9_192.txt │ │ ├── 9_193.txt │ │ ├── 9_194.txt │ │ ├── 9_195.txt │ │ ├── 9_196.txt │ │ ├── 9_197.txt │ │ ├── 9_198.txt │ │ ├── 9_199.txt │ │ ├── 9_2.txt │ │ ├── 9_20.txt │ │ ├── 9_200.txt │ │ ├── 9_201.txt │ │ ├── 9_202.txt │ │ ├── 9_203.txt │ │ ├── 9_21.txt │ │ ├── 9_22.txt │ │ ├── 9_23.txt │ │ ├── 9_24.txt │ │ ├── 9_25.txt │ │ ├── 9_26.txt │ │ ├── 9_27.txt │ │ ├── 9_28.txt │ │ ├── 9_29.txt │ │ ├── 9_3.txt │ │ ├── 9_30.txt │ │ ├── 9_31.txt │ │ ├── 9_32.txt │ │ ├── 9_33.txt │ │ ├── 9_34.txt │ │ ├── 9_35.txt │ │ ├── 9_36.txt │ │ ├── 9_37.txt │ │ ├── 9_38.txt │ │ ├── 9_39.txt │ │ ├── 9_4.txt │ │ ├── 9_40.txt │ │ ├── 9_41.txt │ │ ├── 9_42.txt │ │ ├── 9_43.txt │ │ ├── 9_44.txt │ │ ├── 9_45.txt │ │ ├── 9_46.txt │ │ ├── 9_47.txt │ │ ├── 9_48.txt │ │ ├── 9_49.txt │ │ ├── 9_5.txt │ │ ├── 9_50.txt │ │ ├── 9_51.txt │ │ ├── 9_52.txt │ │ ├── 9_53.txt │ │ ├── 9_54.txt │ │ ├── 9_55.txt │ │ ├── 9_56.txt │ │ ├── 9_57.txt │ │ ├── 9_58.txt │ │ ├── 9_59.txt │ │ ├── 9_6.txt │ │ ├── 9_60.txt │ │ ├── 9_61.txt │ │ ├── 9_62.txt │ │ ├── 9_63.txt │ │ ├── 9_64.txt │ │ ├── 9_65.txt │ │ ├── 9_66.txt │ │ ├── 9_67.txt │ │ ├── 9_68.txt │ │ ├── 9_69.txt │ │ ├── 9_7.txt │ │ ├── 9_70.txt │ │ ├── 9_71.txt │ │ ├── 9_72.txt │ │ ├── 9_73.txt │ │ ├── 9_74.txt │ │ ├── 9_75.txt │ │ ├── 9_76.txt │ │ ├── 9_77.txt │ │ ├── 9_78.txt │ │ ├── 9_79.txt │ │ ├── 9_8.txt │ │ ├── 9_80.txt │ │ ├── 9_81.txt │ │ ├── 9_82.txt │ │ ├── 9_83.txt │ │ ├── 9_84.txt │ │ ├── 9_85.txt │ │ ├── 9_86.txt │ │ ├── 9_87.txt │ │ ├── 9_88.txt │ │ ├── 9_89.txt │ │ ├── 9_9.txt │ │ ├── 9_90.txt │ │ ├── 9_91.txt │ │ ├── 9_92.txt │ │ ├── 9_93.txt │ │ ├── 9_94.txt │ │ ├── 9_95.txt │ │ ├── 9_96.txt │ │ ├── 9_97.txt │ │ ├── 9_98.txt │ │ └── 9_99.txt ├── model.py └── read_data.py ├── README.md ├── decision_tree ├── README.md ├── __init__.py ├── main.py ├── model.py ├── test_data.csv ├── titanic_tree.dot └── train_data.csv ├── naive_bayes ├── README.md ├── __init__.py ├── dataset │ ├── class_list.txt │ ├── stopwords.txt │ └── train_data │ │ ├── C000008 │ │ ├── 10.txt │ │ ├── 11.txt │ │ ├── 12.txt │ │ ├── 13.txt │ │ ├── 14.txt │ │ ├── 15.txt │ │ ├── 16.txt │ │ ├── 17.txt │ │ ├── 18.txt │ │ └── 19.txt │ │ ├── C000010 │ │ ├── 10.txt │ │ ├── 11.txt │ │ ├── 12.txt │ │ ├── 13.txt │ │ ├── 14.txt │ │ ├── 15.txt │ │ ├── 16.txt │ │ ├── 17.txt │ │ ├── 18.txt │ │ └── 19.txt │ │ ├── C000013 │ │ ├── 10.txt │ │ ├── 11.txt │ │ ├── 12.txt │ │ ├── 13.txt │ │ ├── 14.txt │ │ ├── 15.txt │ │ ├── 16.txt │ │ ├── 17.txt │ │ ├── 18.txt │ │ └── 19.txt │ │ ├── C000014 │ │ ├── 10.txt │ │ ├── 11.txt │ │ ├── 12.txt │ │ ├── 13.txt │ │ ├── 14.txt │ │ ├── 15.txt │ │ ├── 16.txt │ │ ├── 17.txt │ │ ├── 18.txt │ │ └── 19.txt │ │ ├── C000016 │ │ ├── 10.txt │ │ ├── 11.txt │ │ ├── 12.txt │ │ ├── 13.txt │ │ ├── 14.txt │ │ ├── 15.txt │ │ ├── 16.txt │ │ ├── 17.txt │ │ ├── 18.txt │ │ └── 19.txt │ │ ├── C000020 │ │ ├── 10.txt │ │ ├── 11.txt │ │ ├── 12.txt │ │ ├── 13.txt │ │ ├── 14.txt │ │ ├── 15.txt │ │ ├── 16.txt │ │ ├── 17.txt │ │ ├── 18.txt │ │ └── 19.txt │ │ ├── C000022 │ │ ├── 10.txt │ │ ├── 11.txt │ │ ├── 12.txt │ │ ├── 13.txt │ │ ├── 14.txt │ │ ├── 15.txt │ │ ├── 16.txt │ │ ├── 17.txt │ │ ├── 18.txt │ │ └── 19.txt │ │ ├── C000023 │ │ ├── 10.txt │ │ ├── 11.txt │ │ ├── 12.txt │ │ ├── 13.txt │ │ ├── 14.txt │ │ ├── 15.txt │ │ ├── 16.txt │ │ ├── 17.txt │ │ ├── 18.txt │ │ └── 19.txt │ │ └── C000024 │ │ ├── 10.txt │ │ ├── 11.txt │ │ ├── 12.txt │ │ ├── 13.txt │ │ ├── 14.txt │ │ ├── 15.txt │ │ ├── 16.txt │ │ ├── 17.txt │ │ ├── 18.txt │ │ └── 19.txt ├── model.py └── read_data.py └── svm ├── README.md ├── __init__.py ├── data.csv ├── model.py └── read_data.py /EM/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/double-point/machine_learning/282e3a14975ef4f6f0c276121adb5ea4e217fbd4/EM/README.md -------------------------------------------------------------------------------- /EM/__init__.py: -------------------------------------------------------------------------------- 1 | # encoding:utf-8 2 | # FileName: __init__.py 3 | # Author: xiaoyi | 小一 4 | # email: 1010490079@qq.com 5 | # Date: 2020/4/26 10:43 6 | # Description: EM算法实战项目-文本聚类分析 7 | 8 | import pandas as pd 9 | import numpy as np 10 | 11 | # 显示所有列 12 | pd.set_option('display.max_columns', None) 13 | # 显示所有行 14 | # pd.set_option('display.max_rows', None) 15 | 16 | 17 | if __name__ == '__main__': 18 | pass -------------------------------------------------------------------------------- /EM/dataset/heros.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/double-point/machine_learning/282e3a14975ef4f6f0c276121adb5ea4e217fbd4/EM/dataset/heros.csv -------------------------------------------------------------------------------- /EM/read_data.py: -------------------------------------------------------------------------------- 1 | # encoding:utf-8 2 | # FileName: read_data 3 | # Author: xiaoyi | 小一 4 | # email: 1010490079@qq.com 5 | # Date: 2020/4/26 11:01 6 | # Description: 加载数据 7 | 8 | import pandas as pd 9 | import numpy as np 10 | 11 | # 显示所有列 12 | from sklearn.datasets import load_files 13 | 14 | pd.set_option('display.max_columns', None) 15 | # 显示所有行 16 | # pd.set_option('display.max_rows', None) 17 | 18 | 19 | def read_data(filepath): 20 | data = pd.read_csv(filepath, encoding='gbk') 21 | print(data) 22 | 23 | return data 24 | 25 | 26 | if __name__ == '__main__': 27 | """加载数据""" 28 | filepath = r'dataset\heros.csv' 29 | df_data = read_data(filepath) 30 | -------------------------------------------------------------------------------- /KNN/__init__.py: -------------------------------------------------------------------------------- 1 | # encoding:utf-8 2 | # FileName: __init__.py 3 | # Author: xiaoyi | 小一 4 | # email: 1010490079@qq.com 5 | # Date: 2020/5/11 16:49 6 | # Description: 7 | 8 | import pandas as pd 9 | import numpy as np 10 | 11 | # 显示所有列 12 | pd.set_option('display.max_columns', None) 13 | # 显示所有行 14 | # pd.set_option('display.max_rows', None) 15 | 16 | 17 | if __name__ == '__main__': 18 | pass -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_0.txt: -------------------------------------------------------------------------------- 1 | 00000000000001100000000000000000 2 | 00000000000011111100000000000000 3 | 00000000000111111111000000000000 4 | 00000000011111111111000000000000 5 | 00000001111111111111100000000000 6 | 00000000111111100011110000000000 7 | 00000001111110000001110000000000 8 | 00000001111110000001110000000000 9 | 00000011111100000001110000000000 10 | 00000011111100000001111000000000 11 | 00000011111100000000011100000000 12 | 00000011111100000000011100000000 13 | 00000011111000000000001110000000 14 | 00000011111000000000001110000000 15 | 00000001111100000000000111000000 16 | 00000001111100000000000111000000 17 | 00000001111100000000000111000000 18 | 00000011111000000000000111000000 19 | 00000011111000000000000111000000 20 | 00000000111100000000000011100000 21 | 00000000111100000000000111100000 22 | 00000000111100000000000111100000 23 | 00000000111100000000001111100000 24 | 00000000011110000000000111110000 25 | 00000000011111000000001111100000 26 | 00000000011111000000011111100000 27 | 00000000011111000000111111000000 28 | 00000000011111100011111111000000 29 | 00000000000111111111111110000000 30 | 00000000000111111111111100000000 31 | 00000000000011111111110000000000 32 | 00000000000000111110000000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_1.txt: -------------------------------------------------------------------------------- 1 | 00000000000000011000000000000000 2 | 00000000000111111110000000000000 3 | 00000000001111111111100000000000 4 | 00000000001111111111110000000000 5 | 00000000011111111111111000000000 6 | 00000000011111100011111000000000 7 | 00000000111110000001111000000000 8 | 00000000111110000001111100000000 9 | 00000000111110000000111110000000 10 | 00000001111110000000111110000000 11 | 00000001111110000000011111000000 12 | 00000001111110000000001111000000 13 | 00000001111110000000001111100000 14 | 00000001111100000000001111000000 15 | 00000001111000000000001111000000 16 | 00000001111000000000001111000000 17 | 00000001111000000000000111000000 18 | 00000000111100000000000111000000 19 | 00000000111100000000000111000000 20 | 00000000111100000000000111000000 21 | 00000001111000000000011110000000 22 | 00000001111000000000011110000000 23 | 00000000111000000000011110000000 24 | 00000000111110000011111110000000 25 | 00000000111110001111111100000000 26 | 00000000111111111111111000000000 27 | 00000000011111111111111000000000 28 | 00000000111111111111100000000000 29 | 00000000011111111111000000000000 30 | 00000000001111111000000000000000 31 | 00000000001111100000000000000000 32 | 00000000000100000000000000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_10.txt: -------------------------------------------------------------------------------- 1 | 00000000000100000000000000000000 2 | 00000000001111000000000000000000 3 | 00000000001111000000000000000000 4 | 00000000011111100000000000000000 5 | 00000000111111111111000000000000 6 | 00000000011111111111110000000000 7 | 00000000111111111111110000000000 8 | 00000000111111111111111000000000 9 | 00000000111111111111111000000000 10 | 00000001111111111111111000000000 11 | 00000000111111111111111110000000 12 | 00000001111111111001111110000000 13 | 00000001111100000000111110000000 14 | 00000001111100000000011110000000 15 | 00000001111100000000001111000000 16 | 00000001111100000000001111000000 17 | 00000001111000000000001111000000 18 | 00000001111000000000011111000000 19 | 00000001111000000000011111000000 20 | 00000000111100000000011111100000 21 | 00000001111100000000111111000000 22 | 00000001111100000001111111000000 23 | 00000001111000000011111110000000 24 | 00000000111100000011111111000000 25 | 00000000111100000011111111000000 26 | 00000000111111111111111110000000 27 | 00000000111111111111111100000000 28 | 00000000011111111111111100000000 29 | 00000000001111111111111100000000 30 | 00000000001111111111110000000000 31 | 00000000000111111111100000000000 32 | 00000000000011111100000000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_11.txt: -------------------------------------------------------------------------------- 1 | 00000000000000101100000000000000 2 | 00000000000011111110000000000000 3 | 00000000000111111111000000000000 4 | 00000000000111111111110000000000 5 | 00000000000111111111111000000000 6 | 00000000001111110011111000000000 7 | 00000000011111110000111100000000 8 | 00000000011111110000011100000000 9 | 00000000111110000000011110000000 10 | 00000000111100000000001110000000 11 | 00000000111000000000001110000000 12 | 00000001111000000000001110000000 13 | 00000001111000000000001110000000 14 | 00000001110000000000001111000000 15 | 00000001110000000000000111000000 16 | 00000001110000000000000111000000 17 | 00000011110000000000000111000000 18 | 00000011110000000000000111000000 19 | 00000011110000000000000111000000 20 | 00000011110000000000000111000000 21 | 00000001110000000000000111000000 22 | 00000001110000000000000111000000 23 | 00000001110000000000000111000000 24 | 00000001111000000000000111000000 25 | 00000000111100000000001111000000 26 | 00000000111110000000001111000000 27 | 00000000111111100000111111000000 28 | 00000000011111111111111110000000 29 | 00000000000111111111111110000000 30 | 00000000000111111111111100000000 31 | 00000000000000111111111110000000 32 | 00000000000000001111111000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_12.txt: -------------------------------------------------------------------------------- 1 | 00000000000000000111000000000000 2 | 00000000000000111111000000000000 3 | 00000000000011111111100000000000 4 | 00000000000011111111110000000000 5 | 00000000000011111111111000000000 6 | 00000000110111111111111000000000 7 | 00000001111111111111111000000000 8 | 00000001111111100000111000000000 9 | 00000001111111000000011110000000 10 | 00000001111110000000011110000000 11 | 00000001111110000000001110000000 12 | 00000011111100000000001110000000 13 | 00000011111100000000001110000000 14 | 00000011111000000000001110000000 15 | 00000001111100000000000111000000 16 | 00000011111000000000000111000000 17 | 00000011111000000000001110000000 18 | 00000011111000000000001110000000 19 | 00000011110000000000011110000000 20 | 00000001111000000000001111000000 21 | 00000000111100000000001111000000 22 | 00000000111100000000001110000000 23 | 00000000111100000000011110000000 24 | 00000000111110000000111110000000 25 | 00000000111111000000111100000000 26 | 00000000001111100000111110000000 27 | 00000000001111111111111110000000 28 | 00000000000111111111111000000000 29 | 00000000000111111111111000000000 30 | 00000000000011111111110000000000 31 | 00000000000000111111110000000000 32 | 00000000000000011111100000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_13.txt: -------------------------------------------------------------------------------- 1 | 00000000000000111100000000000000 2 | 00000000000011111110000000000000 3 | 00000000000111111111000000000000 4 | 00000000001111111111100000000000 5 | 00000000001111111111100000000000 6 | 00000000111111111111110000000000 7 | 00000000011111111111111000000000 8 | 00000000111111110111111000000000 9 | 00000001111110000000111100000000 10 | 00000001111110000000011100000000 11 | 00000011111110000000011100000000 12 | 00000011111100000000011100000000 13 | 00000011111100000000011100000000 14 | 00000001111100000000001111000000 15 | 00000001111000000000000111000000 16 | 00000011110000000000000111000000 17 | 00000011110000000000000111000000 18 | 00000011110000000000000111000000 19 | 00000011110000000000000111000000 20 | 00000011110000000000000111000000 21 | 00000000111000000000000011100000 22 | 00000000111000000000000011100000 23 | 00000000111100000000000111100000 24 | 00000000111100000000000111100000 25 | 00000000111110000000011111100000 26 | 00000000011111000000111111000000 27 | 00000000011111111111111110000000 28 | 00000000001111111111111111000000 29 | 00000000000111111111111111000000 30 | 00000000000111111111111110000000 31 | 00000000000011111111111000000000 32 | 00000000000000111111110000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_14.txt: -------------------------------------------------------------------------------- 1 | 00000000000000111100000000000000 2 | 00000000000001111110000000000000 3 | 00000000000111111111000000000000 4 | 00000000000011111111110000000000 5 | 00000000000111111111111000000000 6 | 00000000000111111111111000000000 7 | 00000000000111111111111000000000 8 | 00000000001111100001111100000000 9 | 00000000001111000000111100000000 10 | 00000000011110000000111100000000 11 | 00000000111110000000011100000000 12 | 00000001111110000000011110000000 13 | 00000000111111000000001111000000 14 | 00000001111111000000001111000000 15 | 00000001111111000000001111000000 16 | 00000001111110000000001111000000 17 | 00000001111000000000001111000000 18 | 00000001110000000000001111000000 19 | 00000001110000000000001111000000 20 | 00000001110000000000001111000000 21 | 00000011110000000000001111000000 22 | 00000000111000000000000111100000 23 | 00000000111100000000000111100000 24 | 00000000111110000000011111100000 25 | 00000000111111000000111111000000 26 | 00000000111111110001111111000000 27 | 00000000011111111111111111000000 28 | 00000000011111111111111110000000 29 | 00000000001111111111111100000000 30 | 00000000000111111111111000000000 31 | 00000000000001111111110000000000 32 | 00000000000000011111000000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_15.txt: -------------------------------------------------------------------------------- 1 | 00000000000000111110000000000000 2 | 00000000000011111111000000000000 3 | 00000000000111111111100000000000 4 | 00000000000111111111110000000000 5 | 00000000001111111111111000000000 6 | 00000000001111111111111000000000 7 | 00000000011111111111111000000000 8 | 00000000111111000011111100000000 9 | 00000000111110000001111100000000 10 | 00000000111100000000111100000000 11 | 00000000111111000000011111000000 12 | 00000000111110000000001111000000 13 | 00000000111110000000001111000000 14 | 00000001111110000000001111000000 15 | 00000001111110000000001111000000 16 | 00000001111110000000000111000000 17 | 00000011111100000000000111000000 18 | 00000001111000000000000111000000 19 | 00000001111000000000000111000000 20 | 00000001111000000000000111000000 21 | 00000001111000000000000111000000 22 | 00000001111000000000001111000000 23 | 00000001111000000000011111000000 24 | 00000000111110000000001111100000 25 | 00000000111110000000011111000000 26 | 00000000011111000011111111000000 27 | 00000000011111111111111111000000 28 | 00000000001111111111111100000000 29 | 00000000001111111111111100000000 30 | 00000000000111111111111000000000 31 | 00000000000111111111100000000000 32 | 00000000000001111110000000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_16.txt: -------------------------------------------------------------------------------- 1 | 00000000000100000000000000000000 2 | 00000000001100011111000000000000 3 | 00000000011110011111110000000000 4 | 00000000111111111111100000000000 5 | 00000000111111111111110000000000 6 | 00000000111111111111110000000000 7 | 00000000111111111111111000000000 8 | 00000000111111111111111100000000 9 | 00000000111111100000111110000000 10 | 00000000111111000000011110000000 11 | 00000000111100000000011111000000 12 | 00000000111000000000001111100000 13 | 00000011110000000000011111000000 14 | 00000011110000000000011111000000 15 | 00000011110000000000011111000000 16 | 00000011110000000000001111000000 17 | 00000011110000000000001111000000 18 | 00000011110000000000001111000000 19 | 00000011110000000000001111000000 20 | 00000011110000000000001111000000 21 | 00000011110000000000011111000000 22 | 00000111110000000000111110000000 23 | 00000011110000000001111110000000 24 | 00000011111000000001111110000000 25 | 00000011111100000111111100000000 26 | 00000011111111111111111000000000 27 | 00000001111111111111110000000000 28 | 00000000111111111111110000000000 29 | 00000000111111111111100000000000 30 | 00000000011111111111000000000000 31 | 00000000111111111100000000000000 32 | 00000000001111110000000000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_17.txt: -------------------------------------------------------------------------------- 1 | 00000000000001100000000000000000 2 | 00000000000111110111000000000000 3 | 00000000001111111111100000000000 4 | 00000000011111111111110000000000 5 | 00000000011111111111111000000000 6 | 00000000111111011111111000000000 7 | 00000000111110011111111100000000 8 | 00000001111100011111111100000000 9 | 00000001111100000000111110000000 10 | 00000011111000000000011110000000 11 | 00000001111100000000001111000000 12 | 00000001111000000000001111000000 13 | 00000001111000000000001111000000 14 | 00000011111000000000001111000000 15 | 00000011111000000000001111000000 16 | 00000011110000000000001111000000 17 | 00000011110000000000001111000000 18 | 00000011110000000000011111000000 19 | 00000011110000000000011111000000 20 | 00000011110000000000111111000000 21 | 00000011110000000000111110000000 22 | 00000011110000000000111100000000 23 | 00000011110000000011111100000000 24 | 00000001111000000011111110000000 25 | 00000000111100000111111100000000 26 | 00000000111111111111111000000000 27 | 00000000111111111111111000000000 28 | 00000000111111111111110000000000 29 | 00000000011111111111100000000000 30 | 00000000001111111111000000000000 31 | 00000000000111111100000000000000 32 | 00000000000011111000000000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_18.txt: -------------------------------------------------------------------------------- 1 | 00000000000000011100000000000000 2 | 00000000000001111100000000000000 3 | 00000000000001111100000000000000 4 | 00000000000001111111000000000000 5 | 00000000000000111111000000000000 6 | 00000000110000001111000000000000 7 | 00000000111000000011110000000000 8 | 00000001111000000011110000000000 9 | 00000011111000000011110000000000 10 | 00000001111110000000111000000000 11 | 00000011111100000000111100000000 12 | 00000011111000000000111000000000 13 | 00000011111000000000011100000000 14 | 00000011110000000000011100000000 15 | 00000011110000000000011110000000 16 | 00000001111000000000011111000000 17 | 00000001111000000000011111000000 18 | 00000001111000000000011111000000 19 | 00000001111000000000001111000000 20 | 00000000111000000000011111000000 21 | 00000001111000000000111111000000 22 | 00000000111100000000011111100000 23 | 00000000111100000000111111000000 24 | 00000000111110000001111110000000 25 | 00000000001111000001111111000000 26 | 00000000001111111111111110000000 27 | 00000000001111111111111100000000 28 | 00000000000011111111111110000000 29 | 00000000000011111111111000000000 30 | 00000000000001111111110000000000 31 | 00000000000000111111110000000000 32 | 00000000000000000011000000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_19.txt: -------------------------------------------------------------------------------- 1 | 00000000000001110000000000000000 2 | 00000000000011111000000000000000 3 | 00000000001111111111000000000000 4 | 00000000000111111111100000000000 5 | 00000000001111111111110000000000 6 | 00000000001111111111111100000000 7 | 00000000011111111111111100000000 8 | 00000000111110011111111110000000 9 | 00000001111110001110111111000000 10 | 00000001111100000000011111000000 11 | 00000001111000000000001111000000 12 | 00000001111000000000001111000000 13 | 00000011111000000000001111000000 14 | 00000011110000000000001111000000 15 | 00000011110000000000001111000000 16 | 00000011110000000000001111000000 17 | 00000011110000000000011111000000 18 | 00000011110000000000111110000000 19 | 00000011110000000000111110000000 20 | 00000011110000000001111100000000 21 | 00000011110000000001111100000000 22 | 00000011110000000001111000000000 23 | 00000011110000000011111000000000 24 | 00000001111000000111111000000000 25 | 00000001111000001111110000000000 26 | 00000001111110011111100000000000 27 | 00000001111111111111000000000000 28 | 00000000011111111110000000000000 29 | 00000000011111111100000000000000 30 | 00000000001111111000000000000000 31 | 00000000000011111000000000000000 32 | 00000000000000100000000000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_2.txt: -------------------------------------------------------------------------------- 1 | 00000000000010000000000000000000 2 | 00000000001111000000000000000000 3 | 00000000001111111000000000000000 4 | 00000000011111111110000000000000 5 | 00000000011111111111000000000000 6 | 00000000111111111111100000000000 7 | 00000000111111111111110000000000 8 | 00000000111111110111110000000000 9 | 00000000111111000011110000000000 10 | 00000001111110000001111000000000 11 | 00000001111110000000011110000000 12 | 00000001111110000000001110000000 13 | 00000001111110000000001110000000 14 | 00000001111110000000001111000000 15 | 00000001111100000000001111000000 16 | 00000001111100000000000111000000 17 | 00000011111000000000000111000000 18 | 00000011111000000000000111000000 19 | 00000011110000000000001111000000 20 | 00000011110000000000001111000000 21 | 00000011110000000000001111000000 22 | 00000011110000000000001110000000 23 | 00000001110000000000011110000000 24 | 00000000111000000000011111000000 25 | 00000000111000000001111111000000 26 | 00000000111100000011111100000000 27 | 00000000111100000111111000000000 28 | 00000000111111111111111000000000 29 | 00000000011111111111110000000000 30 | 00000000001111111110000000000000 31 | 00000000001111111110000000000000 32 | 00000000000011110000000000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_20.txt: -------------------------------------------------------------------------------- 1 | 00000000000000010000000000000000 2 | 00000000000000111100000000000000 3 | 00000000000011111100000000000000 4 | 00000000000011111111000000000000 5 | 00000000000111111111000000000000 6 | 00000000000111111111100000000000 7 | 00000000000111111111110000000000 8 | 00000000000111110111110000000000 9 | 00000000001111100011111000000000 10 | 00000000000111100001111100000000 11 | 00000000000111100001111100000000 12 | 00000000001111000000111100000000 13 | 00000000000111000000011110000000 14 | 00000000000011000000111110000000 15 | 00000000110000000000111110000000 16 | 00000000011100000000011110000000 17 | 00000000111100000000011110000000 18 | 00000000111100000000111110000000 19 | 00000000111110000000011111000000 20 | 00000000111110000000111111000000 21 | 00000000111100000000111110000000 22 | 00000000011110000000111111000000 23 | 00000000011110000001111110000000 24 | 00000000111110000111111110000000 25 | 00000000011111000111111110000000 26 | 00000000011111111111111100000000 27 | 00000000001111111111111100000000 28 | 00000000000111111111111100000000 29 | 00000000000111111111111000000000 30 | 00000000000011111111100000000000 31 | 00000000000000111111000000000000 32 | 00000000000000011100000000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/0_21.txt: -------------------------------------------------------------------------------- 1 | 00000000000000010000000000000000 2 | 00000000000001111100000000000000 3 | 00000000000011111110000000000000 4 | 00000000000011111111100000000000 5 | 00000000000111111111110000000000 6 | 00000000001111111111110000000000 7 | 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00000000001111111110000000000000 26 | 00000000001111111110000000000000 27 | 00000000001111111111000000000000 28 | 00000000000111111111000000000000 29 | 00000000001111111111100000000000 30 | 00000000000111111111111100000000 31 | 00000000000011111111111100000000 32 | 00000000000001111111111000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/1_1.txt: -------------------------------------------------------------------------------- 1 | 00000000000000001111100000000000 2 | 00000000000000001111110000000000 3 | 00000000000000001111111000000000 4 | 00000000000000011111111000000000 5 | 00000000000000111111111000000000 6 | 00000000000000011111111000000000 7 | 00000000000000011111111000000000 8 | 00000000000000111111110000000000 9 | 00000000000000111111100000000000 10 | 00000000000001111111100000000000 11 | 00000000000001111111110000000000 12 | 00000000000001111111110000000000 13 | 00000000000001111111100000000000 14 | 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00000000000111111111110000000000 26 | 00000000001111111111100000000000 27 | 00000000000111111111111000000000 28 | 00000000000111111111111100000000 29 | 00000000000011111111111110000000 30 | 00000000000011111111111000000000 31 | 00000000000000111111111000000000 32 | 00000000000000000000001000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/1_54.txt: -------------------------------------------------------------------------------- 1 | 00000000000000111000000000000000 2 | 00000000000011111111100000000000 3 | 00000000000111111111110000000000 4 | 00000000000111111111110000000000 5 | 00000000000111111111110000000000 6 | 00000000011111111111111000000000 7 | 00000000000111111111111000000000 8 | 00000000011111111111110000000000 9 | 00000000111111111111110000000000 10 | 00000001111111111111110000000000 11 | 00000111111111111111110000000000 12 | 00000011111111111111100000000000 13 | 00000111111111111111100000000000 14 | 00000111111111111111100000000000 15 | 00000011111111111111000000000000 16 | 00000001111111111111100000000000 17 | 00000000001111111111000000000000 18 | 00000000001111111111000000000000 19 | 00000000000111111111100000000000 20 | 00000000001111111111100000000000 21 | 00000000001111111111100000000000 22 | 00000000001111111111100000000000 23 | 00000000000111111111110000000000 24 | 00000000011111111111110000000000 25 | 00000000011111111111110000000000 26 | 00000000011111111111111000000000 27 | 00000000001111111111111000000000 28 | 00000000001111111111111000000000 29 | 00000000000111111111111000000000 30 | 00000000000111111111111000000000 31 | 00000000000111111111100000000000 32 | 00000000000000011100000000000000 33 | -------------------------------------------------------------------------------- /KNN/dataset/testDigits/1_55.txt: -------------------------------------------------------------------------------- 1 | 00000000000001111000000000000000 2 | 00000000000011111110000000000000 3 | 00000000001111111111100000000000 4 | 00000000000111111111110000000000 5 | 00000000001111111111100000000000 6 | 00000000011111111111000000000000 7 | 00000000001111111111110000000000 8 | 00000000001111111111110000000000 9 | 00000000011111111111100000000000 10 | 00000000011111111111110000000000 11 | 00000000111111111111110000000000 12 | 00000111111111111111000000000000 13 | 00000111111111111111100000000000 14 | 00000011111111111111100000000000 15 | 00000011111111111111000000000000 16 | 00000000111111111111100000000000 17 | 00000000001111111111100000000000 18 | 00000000000111111111000000000000 19 | 00000000000011111111100000000000 20 | 00000000000011111111100000000000 21 | 00000000000011111111100000000000 22 | 00000000000011111111110000000000 23 | 00000000000011111111100000000000 24 | 00000000000011111111000000000000 25 | 00000000000001111111100000000000 26 | 00000000001111111111110000000000 27 | 00000000011111111111100000000000 28 | 00000000001111111111110000000000 29 | 00000000001111111111110000000000 30 | 00000000001111111111100000000000 31 | 00000000000111111111000000000000 32 | 00000000000111111100000000000000 33 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/double-point/machine_learning/282e3a14975ef4f6f0c276121adb5ea4e217fbd4/README.md -------------------------------------------------------------------------------- /decision_tree/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/double-point/machine_learning/282e3a14975ef4f6f0c276121adb5ea4e217fbd4/decision_tree/README.md -------------------------------------------------------------------------------- /decision_tree/__init__.py: -------------------------------------------------------------------------------- 1 | # encoding:utf-8 2 | # FileName: __init__.py 3 | # Author: xiaoyi | 小一 4 | # email: 1010490079@qq.com 5 | # Date: 2020/4/7 23:59 6 | # Description: 决策树 7 | 8 | import pandas as pd 9 | import numpy as np 10 | 11 | # 显示所有列 12 | pd.set_option('display.max_columns', None) 13 | # 显示所有行 14 | # pd.set_option('display.max_rows', None) 15 | 16 | 17 | if __name__ == '__main__': 18 | pass -------------------------------------------------------------------------------- /decision_tree/main.py: -------------------------------------------------------------------------------- 1 | # encoding:utf-8 2 | # FileName: main 3 | # Author: xiaoyi | 小一 4 | # email: 1010490079@qq.com 5 | # Date: 2020/4/8 0:03 6 | # Description: 7 | 8 | import pandas as pd 9 | import numpy as np 10 | 11 | # 显示所有列 12 | pd.set_option('display.max_columns', None) 13 | # 显示所有行 14 | # pd.set_option('display.max_rows', None) 15 | 16 | 17 | if __name__ == '__main__': 18 | pass -------------------------------------------------------------------------------- /naive_bayes/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/double-point/machine_learning/282e3a14975ef4f6f0c276121adb5ea4e217fbd4/naive_bayes/README.md -------------------------------------------------------------------------------- /naive_bayes/__init__.py: -------------------------------------------------------------------------------- 1 | # encoding:utf-8 2 | # FileName: __init__.py 3 | # Author: xiaoyi | 小一 4 | # email: 1010490079@qq.com 5 | # Date: 2020/4/10 17:26 6 | # Description: 朴素贝叶斯实战项目【新浪新闻的预测分类】 7 | 8 | import pandas as pd 9 | import numpy as np 10 | 11 | # 显示所有列 12 | pd.set_option('display.max_columns', None) 13 | # 显示所有行 14 | # pd.set_option('display.max_rows', None) 15 | 16 | 17 | if __name__ == '__main__': 18 | pass -------------------------------------------------------------------------------- /naive_bayes/dataset/class_list.txt: -------------------------------------------------------------------------------- 1 | C000008 财经 2 | C000010 IT 3 | C000013 健康 4 | C000014 体育 5 | C000016 旅游 6 | C000020 教育 7 | C000022 招聘 8 | C000023 文化 9 | C000024 军事 10 | -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000008/11.txt: -------------------------------------------------------------------------------- 1 | 　　焦点个股：苏宁电器（002024），该股早市涨停开盘，其后虽在获利盘的抛压下略有回落但在强大买盘的推动下该股已经再次封于涨停，可见主力资金积极拉升的意愿相当强烈。 2 | 　　盘面解析：1.技术层面上，早市指数小幅探低后迅速回升，在中石化强势上扬的带动下指数已经成功翻红，多头实力之强令人瞠目结舌。不过在市场高度繁荣的情形下投资者也需谨慎操作，必竟持续的上攻已经消耗了大量的多头动能。 3 | 　　2.盘中热点来看，相比周二略有退温。但依然可以看到目前热点效应向外扩散的迹象相当明显。高度活跌的板块已经从前期的有色金属、金融地产股向外扩大至军工概念、航天航空等。 4 | 　　操作思路：短线依然需规避一下技术性回调风险，盘中切记不可追高。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000008/12.txt: -------------------------------------------------------------------------------- 1 | 　　智威汤逊全球CEO：大众传媒依然是品牌传播的好选择 2 | 　　本报记者康健发自上海 3 | 　　“想让品牌更快、更广地进入消费者，大众传媒仍然是很好的选择。”智威汤逊全球CEO Michael Maedel近日在上海的办公室告诉《第一财经(相关:理财 证券)日报》。他对有些人“电视、平面媒体失去意义”的观点不以为然。 4 | 　　智威汤逊是美国最大的广告公司之一，与奥美广告一起隶属于WPP集团，3月底刚刚收购了中国本土的上海奥维思市场营销服务公司。 5 | 　　大众媒体和互动媒体对半 6 | 　　针对新的媒体方式日益涌现，企业广告主投放广告越来越无所适从的情景，Michael认为，广告主应该进行定性定量的分析，使任何投放都有清晰的出发点：消费者。要让媒介触及消费者，使他们更愿意来倾听公司。 7 | 　　当然，在媒介越来越多的情形下，意味着传播方式的变化。过去主流的是大众传播，现在互动性和定制性带来了新的挑战——如何让品牌与消费者更加互动。 8 | 　　智威汤逊东北亚区域总监兼大中国区CEO唐锐涛则认为，中国面临两个挑战：品牌主张明确化和如何深化与消费者的关系。 9 | 　　他认为，大众品牌并未失去其价值，借助大众媒体可以清楚地传达品牌的真实含义。而在此基础上，还需要更新的形式使产品和消费者的关系进一步深化。通过互动媒体，可以将以往被动的关系变成主动对话的消费者关系。 10 | 　　唐锐涛的经验法则是，在进行投放的时候，大众媒体和新媒体“对半开”，前者致力于建立品牌，后者用于深化与消费者关系。 11 | 　　同时，产品根据消费者参与的程度也分为高消费者参与度产品和低消费者参与度产品。使用媒介取决于产品本身的复杂度。如饼干等不假思索就购买的产品，大众媒体作用比较大。汽车等奢侈品需要增加对话和互动，让消费者深入这个品牌。 12 | 　　全球品牌，本土特色 13 | 　　Michael特别强调品牌的全球定位和本地表述。他提到，即便广告主是洗衣机，在各个市场，洗衣机的价格跟消费者的工资比例不一样，有些市场用2天的工资就可以买一台，而有些市场，消费者需要用自己三个月的工资才能购买到。这样的情况下，消费者的参与度就完全不一样了。那些用三个月工资才能买得起洗衣机的人会花更多时间去了解产品的性能是否耐用，这跟成熟市场完全不同。 14 | 　　“本地化并不意味着把全球广告翻译成中文，这是一种拙劣的方式。”Michael 称。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000008/13.txt: -------------------------------------------------------------------------------- 1 | 　　　新华网上海5月10日电 中国石化集团上海工程有限公司最近与中石化第二建设公司、荷兰AK公司组成联合体，一举成为沙特延布年产40万吨聚乙烯和40万吨聚丙烯生产装置项目的总承包商，总承包金额7.5亿美元，其中上海工程公司承包金额4.65亿美元。 2 | 　　 据《解放日报》报道，目前，沙特石化项目的基础设计工作已接近尾声，其中上海工程公司派出20多人赴荷兰参与设计。项目详细设计工作将于年底结束。明年年初施工开始，直至2008年4月竣工。这期间，大批中国设备、材料将运往红海岸边，四五百名中国技术、管理和施工人员将奋战在异国土地上。 3 | 　　两年前，上海工程公司得知沙特基础工业公司决定在红海西岸的延布建设大型石化联合企业，而AK公司正参与其中部分装置的竞标。权衡利弊，上海工程公司决定放弃单打独斗而与AK公司携手，提出三方组成联合体参与竞标的设想。中外三方过去在其他项目上多次合作，相互知根知底，因此一拍即合，很快签订合作协议参与竞标。如此优势互补，果然在竞标时将所有对手远远地抛在了身后。 4 | 　　根据总承包合同，荷兰AK公司负责项目基础设计，上海工程公司派人参与；项目详细设计由上海工程公司负责完成，AK公司给予支持。项目主要设备、仪表、主要电气设备，由AK公司负责采购，其余设备和大宗材料由上海工程公司负责采购，项目施工由第二建设公司负责实施。 5 | 　　上海工程公司是一家具有53年历史的国内大型工程设计承包企业，先后成功完成了上海化工区总体规划设计，上海石化、扬子石化、杜邦纤维等国内外4000多项设计和承包工程。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000008/14.txt: -------------------------------------------------------------------------------- 1 | 　　根据艾瑞市场咨询有限公司发布的2005年《中国网上支付研究》报告，中国网上支付的市场规模在2001 年为9 亿元，2004 年就达到了75亿元，年均复合增长率为102.7%。艾瑞预测2007年我国网上支付市场规模将达到人民币605亿元。 2 | 　　应该说在超过4亿个手机用户和1亿多网民支撑下，网上支付市场的想象空间无疑是巨大的。 3 | 　　对此，北京YeePay公司首席执行官唐彬甚至认为，支付需求现在已经是国内未被满足的最大需求。但2005年以前，作为结算支付主体的商业银行在面对大量低端商户支付业务时显然是一种不在乎、视而不见的态度。在这种情况下，商业银行选择向支付公司提供支付网关接口，将网上支付业务外包给支付公司，正如eNet硅谷动力商务运营部总监张磊所说的那样，支付公司成为商业银行支付业务的总代理商。 4 | 　　面对网上支付公司的崛起，商业银行开始觉醒起来，采取措施应对威胁；另一方面，网上支付公司也暴露出它监管上的弊病。原6688商城拖欠挪用商户结算款就是明例。 5 | 　　这个时候传出央行要在2006年出台《电子支付指引（第二号）》文件，即《支付清算组织管理办法》的消息，主要内容被认为是“关系到第三方支付公司的牌照发放”，据了解，在电子支付领域，牌照数量不会超过10张；对于清算体系，央行的原则是“以央行作为主导，商业银行作为主体，社会组织作为补充”，而以快钱公司为代表的第三方支付公司就属于“社会组织”。另一家第三方支付商好购公司总经理何明攀在接受《第一财经(相关:理财 证券)日报》采访时表示央行之所以要出台管理办法就是为了防止网上金融欺诈和无序竞争，规范网上支付市场。 6 | 　　易观国际认为，随着今年底金融业全面开放的大限临近，中国第三方支付市场的重组与洗牌将在所难免，在目前国内40家左右的第三方支付服务商中，至少有一半会出局。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000008/15.txt: -------------------------------------------------------------------------------- 1 | 　　本报讯 （记者李英辉）已经退出北京市场两年多的车贷险业务重现市场。记者昨天获悉，安邦财险将在本月启动车贷险业务。 2 | 　　购买车贷险后，一旦贷款人不能还贷款，保险公司要负责赔偿银行贷款。该险种面市后，曾极大地促进了银行车贷业务的发展。由于车贷险的赔付率竟然超过100%，保险公司不堪重负，两年前全面退出市场。 3 | 　　新车贷险做了重大调整。原来只要被保险人逾期还款，保险公司就须代其还款。新条款中，保险公司的履约责任由第一位降到第二位，如出现被保险人逾期还款的现象，先由银行和汽车公司追偿，然后进入保险公司赔偿程序。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000008/16.txt: -------------------------------------------------------------------------------- 1 | 　　　本报北京５月９日讯 记者潘跃今天从中国红十字会总会举办的“博爱论坛”上获悉：目前，全国已有６４１个县（市、区）开展试点工作，有１．６３亿农民参加了合作医疗。试点地区农民的医疗负担有所减轻，因病致贫、因病返贫的情况有所缓解。 2 | 　　据有关资料显示，我国医疗资源分配极不均衡，占全国人口２０％的城市人口占有我国卫生资源的８０％，而占全国人口８０％的农村人口仅占有２０％的卫生资源。近年来，由于医疗服务保障的城乡差异，大城市的人均寿命比农村高１２年，而贫困地区儿童死亡率则是大城市的９倍。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000008/19.txt: -------------------------------------------------------------------------------- 1 | 　　本报讯 （记者段志敏）中国移动北京地区手机资费刚刚下调，零售终端迅速作出反应。昨天下午，北京苏宁电器宣布本周末起手机大降价。包括诺基亚、摩托罗拉、索爱、三星等主流品牌在内的手机降幅将超过20%。 2 | 　　北京苏宁电器市场部经理徐正飞说，此次降价外资手机是主力，诺基亚降价机型多达10款，摩托罗拉和索尼爱立信降价机型也分别达到8款和6款。不少外资品牌新机型降幅超过20%。 3 | 　　苏宁电器华北地区管理总部执行总裁范志军认为，北京移动资费首次大幅调低，必将刺激北京手机市场消费，带来新增长，预计市场增幅应在30%以上。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000010/10.txt: -------------------------------------------------------------------------------- 1 | 2 | 　　本报讯 (记者 王京) 联想THINKPAD近期几乎全系列笔记本电脑降价促销，最高降幅达到800美元，降幅达到42%。这是记者昨天从联想美国官方网站发现的。 3 | 　　联想相关人士表示，这是为纪念新联想成立1周年而在美国市场推出的促销，产品包括THINKPAD 4 | T、X以及Z系列笔记本。促销不是打价格战，THINK品牌走高端商务路线方向不会改变。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000010/11.txt: -------------------------------------------------------------------------------- 1 | 　　本报讯 全球最大个人电脑制造商戴尔公司８日说，由于市场竞争激烈，以及定价策略不当，该公司今年第一季度盈利预计有所下降。消息发布之后，戴尔股价一度下跌近６％，创下一年来的新低。 2 | 　　戴尔公司估计，其第一季度收入约为１４２亿美元，每股收益３３美分。此前公司预测当季收入为１４２亿至１４６亿美元，每股收益３６至３８美分，而分析师平均预测戴尔同期收入为１４５．２亿美元，每股收益３８美分。 3 | 　　为抢夺失去的市场份额，戴尔公司一些产品打折力度很大。戴尔公司首席执行官凯文·罗林斯在一份声明中说，公司在售后服务和产品质量方面一直在投资，同时不断下调价格。戴尔公司将于５月１８日公布第一季度的财报。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000010/12.txt: -------------------------------------------------------------------------------- 1 | 　　本报讯（记者 陆一波）售价8.5万港元的《文渊阁四库全书电子版》在易趣网上竟以60元的价格拍卖。为此，拥有该电子出版物版权的迪志文化出版有限公司将共同经营易趣网的上海易趣贸易有限公司和亿贝易趣网络信息服务（上海）有限公司告进法院。昨天，市二中院开庭审理此案。 2 | 　　去年11月，迪志公司发现易趣网未经其许可，允许并配合其用户在网上公开拍卖该电子出版物，且这17张光盘均属盗版。迪志公司将易趣网的经营公司告进法院，要求立即停止侵权，赔偿经济损失人民币50万元并刊登致歉声明等。 3 | 　　易趣网的代理律师辩称，易趣网仅是网络交易的专用平台，未直接实施侵权交易，且网上已设知识产权查询系统，供权利人举报。该公司已尽合理范围内的注意义务，没有责任。 4 | 　　庭审中，法院发现《文渊阁四库全书电子版》的版权由迪志公司和上海人民出版社共同所有，故宣布该案将在上海人民出版社参加诉讼后继续开庭审理。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000010/14.txt: -------------------------------------------------------------------------------- 1 | 2 | 　　本报讯（记者 马海邻）记者昨天得到确切消息，新浪公司今天将宣布由曹国伟接替汪延担任CEO，汪延则任董事会重要职位。 3 | 　　曹国伟此前是新浪总裁兼CFO（首席财务官）。他于1999年加入新浪，任主管财务的副总，之后任职CFO、CFO兼COO（首席运营官）。曹国伟先后获得复旦大学新闻学学士、美国奥克拉荷马大学新闻学硕士学位，1993年获德国奥斯町大学商业管理学院财务专业硕士学位后，任职普华永道。其人被外界评价为强势的鹰派管理风格，曾获《首席财务官》杂志和IDG中国共同评选的“2005年度杰出CFO”。 4 | 　　外界认为，由曹国伟主导的2003年1月收购讯龙、2004年3月收购深圳网兴科技，这两笔收购不仅奠定了新浪此后在无线增值业务上的地位，同时也增加了新浪经营模式的多样性与稳定性，对新浪意义非凡。新浪董事会对公司2005年以来业绩的滑坡、非广告业务收入下滑感到忧虑，希望曹国伟能够力挽狂澜，加强新业务的拓展。 5 | 　　汪延于2003年5月取代茅道临出任新浪CEO。有关新浪再次换帅的传闻，起于去年下半年。昨晚新浪内部一名高层人士证实，今天在发布财务季报的同时，宣布人事变动. -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000010/16.txt: -------------------------------------------------------------------------------- 1 | 2 | 　　□本报记者 陆琼琼 3 | 　　记者昨日从新浪获悉，汪延已经正式辞去CEO一职，曹国伟将接替汪延升任CEO，正式掌舵新浪。短时间内，从CFO到COO，到CEO，曹国伟的工作能力得到多方认可，出任新浪第四任掌门似乎并不出人意外。 4 | 　　著名网络评论人方兴东认为，对于本来就已经失去灵魂人物的新浪来说，曹国伟的当家很可能会走向一条更稳健、更务实的发展道路。但另有分析人士指出，即使曹国伟的务实作风有益于新浪，如果董事长段永基不离开，新浪仍然难逃厄运。以上分析人士解释说，作为新浪董事长的段永基却把主要精力花在了新浪之外的公司。 5 | 　　日前传闻中的新浪＋TOM模式将弥补新浪无线增值方面的不足。记者从可靠渠道了解到，曹国伟接任CEO后还将继续带领新浪与TOM集团洽谈。“其实双方的谈判没有停止过，只是在有些细节上的分歧致使双方迟迟没有谈成。”该人士透露。 6 | 　　新浪将在美国当地时间5月9日公布第一季度财报，分析师预计新浪第一季度营收为4590万美元，每股收益为0.15美元，同比下滑25%%。在所有研究新浪股票的分析师中，有五位对新浪的评级为“买入”，有八位的评级为“持有”，有两位的评级为“卖出”。 7 | 　　新浪5月8日收盘于28.52美元，比上一交易日上涨0.07%%。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000010/17.txt: -------------------------------------------------------------------------------- 1 | 　　新华社电 美国宇航局官员近日说，宇航局已决定设立一项总奖金为２５０万美元的大奖赛，希望用这种方式选出未来登陆月球的飞行器设计方案。 2 | 　　美宇航局副局长戴尔5月5日在加利福尼亚州举行的一次航天会议上说，宇航局已选定“Ｘ大奖”基金会管理这项竞赛，宇航局除了出奖金外，也将在未来的月球登陆计划中应用获奖方案。 3 | 　　这项大奖赛要求参赛者设计出能在月球上飞行、着陆的飞行器原型。“Ｘ大奖”基金会说，它将比赛分成两个级别，在地球上模拟月球飞行。第一阶段，参赛飞行器要求从地球上的发射点发射到５０米高度，盘旋飞行９０秒钟，并在距发射点１００米处的指定地点着陆，比赛的第一名将获得３５万美元奖金。 4 | 　　而第二级别的难度高得多。参赛飞行器要求从发射点发射至５０米高度，盘旋飞行１８０秒，并在１００米外类似月球表面的一处崎岖地点精确着陆。这项比赛的第一名将获得１２５万美元的奖金，其方案很可能被宇航局采纳，作为未来登陆月球的飞行器的原型。 5 | 　　“Ｘ大奖”基金会因举办私人设计航天器大奖赛而著名，著名航天设计师伯特·鲁坦设计的“宇宙飞船一号”于２００４年成功地飞入亚轨道，成为全世界第一个私人设计建造的航天器，并赢得了１０００万美元的“Ｘ大奖”。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000010/18.txt: -------------------------------------------------------------------------------- 1 | 　　日前，据联想相关负责人表示，为了纪念新联想成立一周年，联想在美国市场将ThinkPad T，X以及Z系列笔记本进行一次降价促销活动。 2 | 　　据了解，此次降价最高达到了800美元，降幅也达到了42%。但联想方面表示，此次降价仅仅是针对该活动，ThinkPad品牌今后的路线仍是以高端为主. -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000010/19.txt: -------------------------------------------------------------------------------- 1 | 　　科龙德勤案又有新进展：已有多位科龙H股股东到律师处咨询、登记，所涉股份达200余万股。而这些投资者正在为等待提起民事赔偿所需的前置条件焦急等待。 2 | 　　4月29日，上海新望闻达律师事务所律师宋一欣、秦桢凯在中国证券网上发表了《向境内外科龙H股投资者征集民事赔偿诉讼代理的启事》，全面接受科龙电器流通H股及A股投资者的诉讼及仲裁委托代理事项。宋一欣律师告诉《上海证券报》记者，“《启事》刊登当天，就有H股股东前来咨询登记，由于五一长假，事务所休息，许多H股股东想方设法找到我的电子信箱同我联系。截至今天，已有七八位H股股东前来咨询、登记，所涉及股份己达50余万股，损失金额有待统计。这些H股股东中有境外居民。他们正焦急等待此案前置程序的满足。” 3 | 　　首位代表科龙股东状告德勤的上海市光明律师事务所南京分所律师涂勇则向记者透露：“多位科龙H股股东前来向我咨询起诉事宜。其中一位就持有150万股科龙H股，持股成本高达300多万元。他非常渴望前置程序能尽快满足，以便诉上公堂。” 4 | 　　据宋一欣介绍，“根据最高人民法院司法解释的规定，提起虚假陈述民事赔偿诉讼必须满足前置条件，即中国证监会或财政部的行政处罚决定，或有关法院认定有罪并生效的刑事判决书，两者以先出台者为准。” 5 | 　　“在科龙案中，中国证监会已经对科龙电器与德勤会计师事务所进行了行政处罚前的听证程序，如果没有意外，估计今年上半年内行政处罚决定将出台；而顾雏军编制虚假财务报告罪案已经被广东省佛山市人民检察院立案、即将提起公诉，刑事审判在即。因此，包括H股股东在内的科龙电器权益受损的投资者提起民事赔偿应该不成问题，只是需要等待，万事俱备、只欠东风。”宋一欣进一步解释道。 6 | 　　谈及此案的被告，宋一欣表示，“科龙电器虚假陈述可涉及很多被告，如科龙电器公司；顾雏军等原董事、高管人员及直接责任人员；存在失职的原监事会成员和独立董事；进行审计的会计师事务所（会计师行）及其承担责任的合伙人、相关注册会计师；由于虚假陈述而获益的关联企业、控股股东等。但主要被告有三，即科龙电器公司、顾雏军、德勤华永会计师事务所（A股股东）或德勤·关黄陈会计师行（H股股东）。” 7 | 　　宋一欣称，“证券民事赔偿诉讼应当采取目前《民事诉讼法》规定的共同诉讼方式，科龙案也是如此。以共同诉讼提起的原告由于合并后按比例计算诉讼费，故其支出的诉讼费要比单独诉讼提起的原告所支付的诉讼费要少。所以，作为代理律师，从投资者的角度考虑，我需要筹集到一定数量投资者委托后才安排起诉。”（本报记者 岳敬飞 何军） -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000013/12.txt: -------------------------------------------------------------------------------- 1 | 　　三九医药（000999）和三九生化（000403）今日同时发布公告，三九医药转让三九生化38.11％股权事宜获得国资委批准，三九医药将所持有的三九生化6162.1064万股和1906.0936万股国有法人股分别转让给振兴集团有限公司和山西恒源煤业有限公司。 2 | 　　协议签订一年后，股权转让终于取得重大进展，也为三九集团的重组工作打下更坚实的基础。但在这一年中，三九生化却发生了大变化。 3 | 　　根据年报，三九生化2005年度亏损5.21亿元，而2004年亏损额为1.98亿元，同时，每股净资产由2004年的2.55元变为－0.05元，净利润和净资产发生大幅变动。但在双方签订的协议中，收购价格为每股2.55元。 4 | 　　某券商投行人士认为，由于当时双方所签的协议价格是以2004年的审计报告为依据的，时隔一年，公司的审计结果发生重大变化，如果仍然用2004年的审计结果来进行交易似乎并不合适。 5 | 　　也有业内人士认为，签订的协议具有法律效力，国资委的批准是协议生效的前提。如今既然已经获准，就应该按照协议的价格执行。 6 | 　　此前三九生化发布的2005年度报告被审计机构出具了非标意见，14位公司高管也对年报表示质疑。围绕股权转让，相关各方不知是否还会发生争议。但业内人士评价，对公司而言，股权顺利转让，让公司步入正常发展的轨道，这才是最重要的。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000013/13.txt: -------------------------------------------------------------------------------- 1 | 　　国家食品药品监督管理局南方医药经济研究所主办的首届“中国制药工业百强年会暨第三终端高峰论坛”将于5月15日-17日在成都举行。会议由《医药经济报》、广州标点医药信息有限公司承办。 2 | 　　据主办方透露，年会将发布2005年医药产业的各项运行数据，包括2005年医药销售领先品种，2005年中药销售领先的企业、化学药销售领先的企业排名等。会上即将发布的制药工业百强排名，其数据采集和分析方法与往年不同。2004年的统计数据分别依照化学制剂生产企业、中成药生产企业、医药商业来统计，2005年则是将那些既有工业生产也有商业经营的企业集团作为一个单位来统计，以便彰显这些“医药巨头”在我国医药产业中的重要地位。 3 | 　　会议主要议程还包括“2005中国最具影响力药企发布”、“第三终端高峰论坛等”。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000013/14.txt: -------------------------------------------------------------------------------- 1 | 　　一场史无前例的非典让股骨头坏死走进了人们的视线。据推测，我国每年的股骨头坏死新发病例在15万～20万之间，累积需治疗的病例在500万～750万之间。 2 | 　　治疗股骨头坏死最理想的方法是保存患者自身股骨头，而达到此目的应早期诊断，早期治疗。 3 | 　　目前股骨头坏死的早期诊断和治疗的有效方法仍是世界性难题。 4 | 　　搜狐健康特邀北亚医院肖正权院长做客专家在线访谈间，与网友们谈股骨头坏死治疗方面的问题。 5 | 　　　　访谈主题：股骨头坏死 6 | 　　　　访谈时间：5月12日15:00-16:00 7 | 　　　　访谈地点：搜狐健康专家在线访谈间（地址稍后公布） 8 | <预先提问> 9 | 　　专家介绍 10 | 　　院长简介：肖正权      　　主任医师，医学硕士      　　出身于著名中医世家，肖氏医学第九代传人，国家指定全国百名名老中医肖贯一教授的学术继承人，尽得其祖父真传。就读于黑龙江省中医药大学，是基础医学院院长李冀导师的硕士研究生。先后从师于世界骨伤联合会副主席、中国中医研究院博士生导师董福慧教授，中国工程院院士博士生导师程莘农教授。北京大学医院院长EMBA毕业。 11 | 12 | 13 | 14 | 肖正权院长 15 |     -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000013/15.txt: -------------------------------------------------------------------------------- 1 | 　　全国治理医药购销领域商业贿赂专项工作正在轰轰烈烈地展开，却有骗子趁机诈骗医务人员。日前，广东省卫生厅向全省医务人员发出了“谨防有人利用打击商业贿赂诈骗”的提示。 2 | 　　治理医药购销领域商业贿赂专项工作于3月底在全国拉开帷幕之后，各地卫生行政部门积极贯彻中央精神，部署专项治理工作。近来，广东省许多医务人员突然收到手机短信或者信件，被告知希望其认真自查自纠，将收受的红包和回扣款项主动上缴汇入某个指定账号，争取宽大处理。然而广东省卫生行政部门还没有设立回扣款上缴账户，更没有向医务人员发出过上缴款项的通知。为此，广东省卫生厅向全省的医疗机构和医务人员下发紧急通知，提醒谨防受骗上当。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000013/17.txt: -------------------------------------------------------------------------------- 1 | 　　牙防组事件再起风波，此次争议的核心是，口腔用品认证办法的管理对象应该是“保健”品还是“护理”品。 2 | 　　本报独家获悉，4月24日，中国口腔清洁护理用品工业协会（原牙膏工业协会，下称“牙膏协会”）以书面形式向国家认证认可监督管理委员会（下称“认监委”）递交了一份文件，称如果把牙膏纳入认证，将不利于企业的发展。 3 | 　　文件陈述了数条理由，诸如牙膏企业的每个产品都必须认证将会影响到生产和销售的效率等等。 4 | 　　文件还称，即便必须认证，也应该是认证“口腔护理”用品，而不是“口腔保健”用品。 5 | 　　4月13日，认监委发布了《口腔保健用品认证管理办法（征求意见稿）》。 6 | 　　自发布之日以来，围绕这两个词的拉锯始终没有停止。而在意见征求期过后，卫生部法规司将根据程序将这个办法发布成为部颁标准。 7 | 　　“如不采用‘保健’，而采用‘护理’，那么办法将失去意义。”江苏雪豹日化有限公司的董事长童渝于昨日向认监委提交了一份针锋相对的建议。 8 | 　　据知情人士透露，牙膏协会如此激烈反对的原因是，一旦“保健”认证推行，将会由具备专业团队的相关单位来担当。而牙膏协会属于原轻工系统，缺乏这些资源。 9 | 　　“所以他们更倾向于用‘护理’一词，可以名正言顺地把认证权纳入自己的管理范畴。” 10 | 　　相对于强调牙膏功能性的“保健”，“护理”一词在字面的意义更倾向于清洁。前者的主管部门是卫生部门，后者则是牙膏协会。 11 | 　　有消息人士称，现在已有数百家单位开始申请成为合法的牙膏认证机构。 12 | 　　“最后的认证机构已经基本成型。”有关人士透露说，这个即将浮出水面的机构与卫生系统下属的全国牙防组有着紧密的“血缘”关系。 13 | 　　在此之前的牙防组事件中，没有认证资格的全国牙防组违规认证十多年，被北京律师李纲告上法庭。此后，认监委紧急启动认证程序，目前最后的用词尚不明朗。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000013/19.txt: -------------------------------------------------------------------------------- 1 | 　　9日在京举行的世界卫生组织慢性病全球报告中文版首发式上，卫生部公布了中国慢性病情况。其中一个令人瞠目的数字是，目前全国约有3．5亿吸烟者，2000年由吸烟导致的死亡人数近100万人，超过艾滋病、结核、交通事故以及自杀死亡人数的总和，占全部死亡人数的12％。 2 | 　　卫生部警告说，如不采取控制措施，预计到2020年时这个比例将上升至33％，死亡人数将达到200万人，其中有一半人将在35－64岁之间死亡。 3 | 　　2002年我国男性吸烟率为66．0％，女性吸烟率为3．08％，与1996年比，尽管吸烟率略有下降，随着总人口的增加，吸烟人数仍然增加了3000万人。 4 | 　　吸烟对青年十分有害，因此，应尽早戒烟。戒烟方法很多，下面十二种戒烟法，可供少年吸烟者试一试：　　(1)特意在一二天内超量吸烟（每天吸两包左右），使人体对香烟的味道产生反感，从而戒烟；或在患伤风感冒没有吸烟欲望时戒烟。　　(2)想象自己在吸烟，同时想象令人作呕的事情（比如你手中烟盒或香烟上有痰渍等等）。　　(3)将戒烟的原因写在纸上，经常阅读；如能可能，尽量补充新内容。　　(4)将想购买的物品写下来，按其价格计算可购买香烟的包数。逐日将用来购买香烟的钱储存在“聚宝盆”内。每过一个月，清点一次钱数。　　(5)同朋友打“赌”，保证戒烟。当然这要用自己的烟钱作为 “赌注”。　　(6)不整条买烟。 5 |     相关事件: 6 |     卫生部：我国青少年吸烟人数高达5000万 7 |     9日在京举行的世界卫生组织慢性病全球报告中文版首发式上，卫生部公布的中国慢性病情况表明，目前中国青少年吸烟人数高达5000万人。>>>全文 8 |     与潜意识对话 临床催眠治疗能帮助戒烟 9 |     美国科学家最近经研究发现，在正规的临床催眠师帮助下接受催眠治疗，有可能帮助吸烟者成功戒烟且长时间保持戒烟状态。>>>全文 10 |     生活习惯影响烟瘾 晚睡早起的人烟瘾更大 11 |     据最新一期《国际生物钟学》期刊研究显示，德国科学家发现，早晨起床时间在5点之前、晚上11点之后睡觉的人更容易吸烟！>>>全文 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000014/10.txt: -------------------------------------------------------------------------------- 1 |  足彩06032期王智意甲解盘 2 | 　　1.卡利亚里VS国际米兰：杯赛对国米的吸引力更大，目前平赔较低，本场在“0”的基础上需适当补“1”。 3 | 　　2.切沃VS佛罗伦萨：主队近来状态出现下滑，客队为冠军杯名额则到了不容有失的阶段，然而澳彩却为本场开出主队低水的平手初盘，看来“紫百合”是不会轻松拿到3分。 4 | 　　3.恩波利VS阿斯科利：庄家仅为主场5连胜的恩波利开出平半浅盘，分明是对该队取胜信心不足的表现。 5 | 　　4.拉齐奥VS帕尔马：主队在球半盘下的赢盘能力并不突出，而且初盘存在刻意看低帕尔马的嫌疑，本场补“1”稳妥。 6 | 　　5.AC米兰VS罗马：米兰很少在对手身上发生连续输盘的事情，首回合米兰输盘，本场可对他们看高半线。 7 | 　　6.帕勒莫VS梅西纳：此战已经无关紧要，初盘显示本场是“3/1”格局。 8 | 　　7.雷吉纳VS尤文图斯：初盘显示了客队的强大，且本场关系到客队夺冠问题，此时尤文图斯可任胆选。 9 | 　　8.特雷维索VS乌迪内斯：乌迪内斯在客场已连续拿下3盘，在状态正佳的时候，澳彩只为其开出平手初盘，想必“乌鸡”的势头会就此中断。足彩06032期王智德甲解盘 10 | 　　9.科隆VS比勒菲尔德：初盘高开意图明显，庄家引筹码去上盘的嫌疑极大，本场科隆有望不败。 11 | 　　10.拜仁慕尼黑VS多特蒙德：多特蒙德客场至多连赢两盘，本场已到其盘路极限，而且澳彩初盘也有意在冷落主队。 12 | 　　11.汉堡VS不莱梅：半球盘下两队在本赛季尚无平局记录，本场适合选择“3/0”。 13 | 　　12.杜伊斯堡VS美因兹：初盘与欧赔极为不符，庄家有利用主队已经降级的题材诱下美因兹的嫌疑。 14 | 　　13.沙尔克04VS斯图加特：初盘主队水位偏高，目前斯图加特客场盘路有反弹迹象，本场不排除客队抢分可能。 15 | 　　14.沃尔夫斯堡VS凯泽斯劳滕：命悬一线的战役，庄家为本场开出了较高的平局赔率，想必两队有望分出胜负。 16 | 　　栏目心水(256元) 17 | 　　0 03 1 31 3 31 31 1 3 3 30 3 30 30 18 | 　　栏目心水(2048元) 19 | 　　01 10 1 31 30 31 31 1 3 3 30 31 31 302  -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000014/11.txt: -------------------------------------------------------------------------------- 1 | 　　这是一次跨越世纪的重逢，这是一次弥补历史的棋坛盛事。5月23日至27日，在美丽的沈阳世博园，来自中国、日本和韩国三国的九位当年叱咤世界棋坛的围棋元老，将上演一次对决。昨天，本次元老赛的参赛者之一、中国围棋协会主席陈祖德表示，他对即将在沈阳揭幕的2006年中、日、韩三国围棋元老赛非常期待：“这是一次弥补历史的比赛！”　　三国元老首次聚首　　本次三国元老赛由国家体育总局棋牌运动管理中心、中国围棋协会主办、由沈阳市体育局、沈阳市体育总会、沈阳晚报、沈阳市围棋协会、沈阳电视台协办。比赛地点设在沈阳世界园艺博览会，是2006年沈阳市承办的级别最高的比赛，也是2006年国内外广泛关注的重要体育赛事之一。　　参加比赛的中日韩围棋元老都是二十世纪世界最著名的围棋代表人物，他们分别是中国队的陈祖德、王汝南和聂卫平；日本队的林海峰、宫本直毅和羽根泰正；韩国队的金寅、河灿锡和尹琦铉。除了中国的三位元老赫赫有名外，日本的林海峰是一代围棋巨人吴清源的弟子，曾三连霸名人战，五获本因坊，被日本《棋道》杂志敬称为棋界“阿信”；宫本直毅九段师从于关西棋院创始人桥本宇太郎九段，他在1974年率团访华，对聂卫平一生的命运发挥过至关重要的影响。中国棋迷相对陌生的金寅更是韩国著名的超一流九段棋手。相当于韩国的“陈祖德”，从1965年开始，韩国进入了名副其实的“金寅时代”，曾影响韩国围棋界十多年，七十年代后期，由于曹薰铉、徐奉洙等新人的崛起，金寅渐渐地退出了棋战的第一线。但正是他将韩国围棋引上了现代之路。陈祖德：这是弥补历史的比赛　　中国围棋协会主席、原中国棋院院长陈祖德先生，昨天在接受本报记者采访时对这次比赛给予了很高的评价，“这是世界第一次！”陈老说，“以前我们只是分别搞过中日和中韩的元老比赛，我们这批三个国家的棋手聚会还是第一次，因此这次比赛让人感到很兴奋。”　　陈祖德介绍说，因为各种历史原因，他和那个时代的韩日两国的高手们在各自棋力达到顶峰的时候没有交过手，这可以算是一个历史的遗憾，而这次三国元老赛正是弥补了他那个时代的选手的一个遗憾，填补世界围棋的一次历史空白，同时也将对中国围棋产生深远的影响。　　当陈祖德听说比赛要在美丽的沈阳世博园举行时，显得非常的高兴：“那太好了，我早就听说那里非常美，我想在那里比赛将是一次享受！这次聚会太令人期待了！”　　世博园将书写世界围棋佳话　　美丽的沈阳世博园已迎来八方游客，而这次九位中日韩围棋元老的跨世纪聚会，将为这美丽的地方书写一段佳话。据了解，本次比赛将在25和26日两天举行交叉比赛，到时候，当年未能一决雌雄的围棋元老们将亮出各自的绝活，留下一个个经典的对局。　　棋盘山，流传着传说与故事，凝聚着历史与现实融合的美丽，这里，将迎来一代宗师们的笑语；世博园，汇聚着鲜花与绿草，传递着人与自然和谐共生的理念，这里，还将留下世界围棋的一段佳话……　　 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000014/14.txt: -------------------------------------------------------------------------------- 1 | 　　北京、莫斯科、美国 三次看升旗感受不同　　大郅：北京这次最难忘　　《体育天地·mvp》记者朱冲报道　　“起来，不愿做奴隶的人们……”5月8日凌晨5点，王治郅随中国男篮一起在天安门广场参加了升旗仪式。当国歌响起的时候，王治郅两眼紧盯五星红旗，轻声唱着国歌。这是王治郅四年以来第一次在自己祖国的土地上听到国歌响起，看到国旗升起。所以，王治郅说：“这是我最难忘的一次看升旗。”　　国旗让我感到责任　　在谈到升旗的感受时，王治郅说：“所有热爱祖国的人在看到五星红旗冉冉升起的时候都会有同一种感受，那就是作为一名中国人的骄傲和自豪。我一共在天安门广场参加过两次升旗，第一次是上初中的时候，虽然时间过去十几年了，但这种感情是不变的，而且只会继续加深。”　　的确，这一次升旗对于王治郅来说很特别，因为这是他在经历了“滞美不归”事件之后第一次看到升旗，这是他四年以来第一次回到自己的祖国看到升旗。“四年来祖国的发展日新月异，升旗的时候，我脑子里想了很多，浮现了很多场景。我想起了回国后我父母带我逛漂亮的四环、五环路，想起了看到的雄伟建筑，想起了随处可见的‘新北京、新奥运、同一个世界、同一个梦想’的宣传牌。”王治郅严肃地说，“当时我就感受到一种责任，我希望在2008年的北京奥运会上站在领奖台上再次看到国旗升起，听到国歌响起。”　　在莫斯科看升旗很激动　　说到北京奥运会，王治郅又自然而然地想起了2001年7月13日的莫斯科，北京申奥现场。当时，王治郅是申奥的形象大使。　　“作为北京申奥代表团的成员，当我在莫斯科亲眼看到萨马兰奇宣布北京获胜的那个时刻，我真的感到心潮澎湃。”王治郅说，“在申奥现场没有升旗仪式，没有奏国歌，但当宣布我们获胜的时候，我们全部拿出了早就准备好的国旗。等回到大使馆，看到国旗升起、国歌响起的时候我们所有人都感到无比的激动和自豪。”　　看到姚明就能看到国旗　　除了奥运会以外，这次升旗还让王治郅想起了他在美国的生活。在美国的四年是大郅最为孤独的经历，也是最想念祖国的时候。“在美国，只有到中国大使馆去才能看到国旗，听到国歌。”王治郅说。　　当王治郅还在NBA时，他和姚明在赛场上的每一次相遇都被称为移动长城的对接。“我记得，无论我遇到姚明还是巴特尔，球馆里都会有很多华人球迷来加油，看台上也会看到国旗，那时候我们就感到一种身处国外的民族自豪感。”王治郅说，“但我和姚明在场上的相遇机会很少，更多的只能是在场下匆匆聊几句，所以我特别能理解姚明所说的，在NBA就感到中国人太少，我真的希望看到越来越多的中国人能够出现在世界最高水平的联盟中证明我们中国人的实力。所以对于姚明成为状元秀，对于姚明在NBA取得的成就和成功，我由衷地替他感到高兴，这是所有中国人的骄傲。” -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000014/16.txt: -------------------------------------------------------------------------------- 1 | 2 | 　　刚刚在上周六以0比2惨败在长春队脚下的沈足，今天下午将在客场挑战升班马厦门蓝狮，尽管在此前，沈足曾在换帅之后创造了三连胜和四轮不败的骄人战绩，但随着上一轮主场失利，使得沈足刚刚赢来的保级优势顿时化为乌有，对此，沈足俱乐部总经理何兵表示：“过去的胜利已经成为过去，我们现在必须要冷静地面对现实，从现在开始，我们打的每一场比赛都是保级战，特别是跟厦门这样的保级球队作战，我们更是要全力争胜。” 3 | 　　为了提前适应厦门当地的天气和场地，沈足在本周一就抵达厦门，开始了赛前备战，尽管在上一轮遭遇惨败，但沈足将士却并没有因此灰心丧气，相反，随着许博、普科两名绝对主力的回归，全队对本轮挑战厦门蓝狮充满了必胜的信心，场上队长汪强告诉记者：“我们上一轮输给长春其实很正常，一方面我们缺少了两名主力队员，另一方面今年长春队非常强，他们现在排名第二就足以说明他们非常有实力。不过，本轮和厦门队比赛，我们还是非常有信心拿下来，今年厦门队的实力并不是很强，虽然客场比赛有些困难，但我们全队的目标非常明确，就是全取3分，最坏也要带着1分回来。” 4 | 　　许博和普科的回归也令主教练库夫曼感到非常高兴，因为他又可以派出他最满意的主力阵容出战。对于今天的比赛，库夫曼表示：“厦门队已经几轮没有赢球了，我想他们对这场比赛也会虎视眈眈，但中国有句俗话是狭路相逢勇者胜，到时候就看我们谁更顽强吧。” 5 | 　　本报记者刘淼报道 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000014/17.txt: -------------------------------------------------------------------------------- 1 | 2 | 　　中新网5月10日电今日出版的辽沈晚报刊载了中国球员李铁从英国利物浦发回来的文章，详细阐述了他和老东家埃弗顿队解约的内幕。文章全文如下： 3 | 　　今天我必须要在这里纠正一个概念上的错误。国内媒体昨天都用了“埃弗顿与李铁解约”这样的标题来报道我的留洋现状，其实这个说法是不正确的。 4 | 　　我与埃弗顿队的工作合同在今年6月30日正式到期，埃弗顿目前只是初步决定“不再与我续约”，这与“解约”完全是两个概念。其实，我将离开埃弗顿早已经不是什么秘密，否则我也不会主动与其他一些球会进行积极的接触。最近两年，我因为伤病的原因一直没有替埃弗顿打过比赛，埃弗顿也在去年买进了大批前卫队员，人员储备方面显得很充足，所以可能教练感觉不再需要我了。 5 | 　　这是再正常不过的游戏规则了，我非常理解埃弗顿的想法。事实上，是我主动找到埃弗顿决策层，先表明去意的。与我一起与俱乐部谈过话的还有邓肯·弗格森，他是因为年龄实在太大，明年就36岁了，没办法适应埃弗顿激烈的竞争，这才心生离意。而我，则是希望能换个地方得到新的发展机会。 6 | 　　“不再续约埃弗顿”意味着我从7月份开始就成为自由球员，实际上这对我寻找新工作是非常有利的一个筹码，毕竟能不花一分钱就能得到一个身价100多万英镑的球员，对任何俱乐部都是一件很实惠的事情。也许大家还不知道，其实我在今年1月份的赛季中转会期里，就有过租借到别队的机会，但当时我就是考虑到那时我会有一笔不菲的转会费，这势必会影响到我的去向。所以，我才决定等到赛季结束，这无疑会帮助我找到更理想的新东家。 7 | 　　再具体解释一下，基恩与曼联的那种分手形式叫“解约”。当时曼联在基恩的合同还有6个月到期的时候表态不再留用他，这样基恩就领得了一笔曼联支付的违约金，这才远投他乡的。如果埃弗顿队在我合同未到期之际与我“解约”，他们是得付违约金的。(李铁） 8 | 　　 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000014/18.txt: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 　　第4场位：从第06020期胜负彩起，在第4场位上，最近11期足彩出现的数字序列为“31111331331”，已经连续11轮不出“0”，而此前“0”还是比较受欢迎的，这就意味着在连续11轮不出“0”后，本轮第4场位出“0”的几率很大，此外本场位目前连续出“1”的动力不是很强，如此看来，此场位拉齐奥VS帕尔马的比赛，彩路表明两队有望分出胜负。投注建议：3/0 5 | 　　第6场位：从第06025期胜负彩起，在第6场位上，最近6期足彩出现的数字序列为“330300”，已经连续6轮不出“1”。而此前本场位连续出“1”的次数极多，这就意味着在连续6轮不出“1”后，本轮第6场位出“1”的几率已经大大增强，如此看来此场位帕勒莫VS梅西纳的比赛，彩路表明两队有望和平收场。投注建议：1 6 | 　　第8场位：从第06024期胜负彩起，在第12场位上，最近7期足彩出现的数字序列为“3133313”，已经连续7轮不出“0”，而此前“0”还是比较受欢迎的，这就意味着在连续7轮不出“0”后，本轮第12场位出“0”的几率很大，此外本场位最近连续出“3”的动力过强，本场很可能出现回落，如此看来，此场位杜伊斯堡VS美因茨的比赛，彩路表明主队无望取胜。投注建议：1/0 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000016/11.txt: -------------------------------------------------------------------------------- 1 | 　　　【据新华社北京5月6日电】2006年“五一”黄金周，以新马泰为主的东南亚地区继续成为中国公民出境旅游休闲的主要目的地，与此同时韩国、日本观光界大力推动“东北亚旅游圈”以吸引中国游客；俄罗斯、蒙古国也加入争抢中国游客的行列。中国国家旅游局的数据显示，“五一”期间，除港澳特区游外，中国公民出境旅游的主要目的地仍然是周边国家，而东南亚国家是首选之地。(编辑小娜) 2 | 　　 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000016/14.txt: -------------------------------------------------------------------------------- 1 | 　　时报讯 昨天是五一黄金周的最后一天，游客们纷纷踏上了回家的旅程，宁波各大景区全面“退烧”。而此时，宁波的各大餐饮商场负责人却喜笑颜开。 2 | 　　宁波市假日办统计数据显示，7天时间内，宁波市共接待游客216．3万人次，创历年五一黄金周新高。全市旅游总收入达12．9亿元人民币，同比增长12．5%。也就是说，游客在宁波的人均旅游单项消费近600元。 3 | 　　随着人们旅游需求层次的提高，旅游正从观光时代转向休闲时代，这个特点在今年更为明显。“吃农家饭、住农家屋、学农家活、享农家乐”，乡村旅游景区成为了热点。 4 | 　　从宁波市接待的游客分布情况分析，大部分来自省内周边地区和上海、江苏等地，景区内各地牌照的私家车成为亮点和看点，特别是随着高速公路网络的完善，来自长三角地区、福建、江西等地的私家车明显增多，宁波市已成为长三角地区一个重要的旅游目的地。 5 | 　　今年的五一黄金周，宁波游客的出游观念趋于理性。和去年相比，出境游人数下降，国内游人数增长，但长线游的人数增长幅度不大，短线游和休闲度假线人气旺盛。宁波市民长线游主要集中在北京、海南、桂林[图库]、西安[图库]、大连[图库]、香港等地，长三角周边景点成为短线游的热点。甬金高速开通以后，往金华、江西方向的游客数量也呈快速增长态势。 6 | 　　 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000016/17.txt: -------------------------------------------------------------------------------- 1 | 　　本报讯（见习记者 张昱）5月8日，记者从银川市旅游局获悉，该市列入2006年五一黄金周数据统计范围的21家旅游景区，共接待游客17.6万人次，门票收入454.18万元，分别比上年同期增长14%和24%。 2 | 　　记者了解到，银川市今年五一期间，接待外来游客13.76万人次，旅游收入4180.34万元，比上年同期增长了21.24%和32.5%。其中，过夜旅游者5.78万人次，旅游收入2987.97万元，比上年同期增长21.4%和30.7%；一日游游客7.98万人次，旅游收入1192.37万元，比上年同期增长21%和37%；旅行社累计接团321个，累计接待人数1.21万人次，比上年同期增长7%和4%。 3 | 　　五一黄金周，银川市各旅行社累计组团310个，出游7734人次，主要出游目的地有山东、河南、北京、广州[图库]、四川、山西、陕西、青海、海南、云南、桂林[图库]等地。有来自北京、四川、安徽、大连[图库]等地的4个旅游包机和6个旅游专列抵达银川。出境游有港澳、日本、韩国、新马泰等地。黄金周期间，银川接待海外游客63人，分别来自泰国、日本、荷兰、美国、德国等国家。 4 | 　　来源：宁夏网 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000016/19.txt: -------------------------------------------------------------------------------- 1 | 　　中广网5月9日广州图库消息（记者何伟奇 通讯员仇文确）据广东肇庆图库旅游部门统计，“五一”黄金周到肇庆各地主要旅游景区的游客人数达106万人次，与去年同期相比增长16%，其中城市接待旅游者人数为55.95万人次，同比增长10.2%，旅游收入2.09亿元，同比增长12.4%。 2 | 　　 3 | 4 | 5 | 6 | 7 | 8 | 9 | 　　　“五一”黄金周肇庆鼎湖山举行“山泉泼水节” 10 | 　　“五一”黄金周期间，七星岩图库推出的“十里走单骑”自行车环湖游、鼎湖山“山泉泼水节”、德庆醇正岭面古迹游、封开萝筐节、梦多奇溶洞、怀集燕峰峡温泉漂流、广宁竹海美食、四会造纸村访古、高要生态园寻梦等活动让游客感受到肇庆千里旅游走廊旅游“天天有新意、日日景不同”的休闲旅游新体验。 11 | 　　 12 | 13 | 　　　　肇庆千里旅游走廊如诗如画 14 | 　　今年肇庆市不断完善旅游配套设施建设，在千里旅游走廊上新增设了多个一目了然的景区指引牌，为自驾车旅游人士提供了清晰的指引。此外还加强了旅游安全生产管理和规范旅游服务质量管理，推出了旅游志愿者服务，为到达景区的游客免费提供方便指引，受到众多中外旅游者的欢迎。 15 | 　　来源：中国广播网 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000020/14.txt: -------------------------------------------------------------------------------- 1 | 　　50余名沈阳市职业学校校长近日走进清华园，在沈阳市教育局与清华大学共同举办的首期沈阳市职业学校校长高级研修班上为自己，更为沈阳的职业教育而“充电”。 2 | 　　沈阳市中等职业学校重组于上世纪80年代，绝大部分学校是由薄弱学校改造而成。近年来，随着国家、省、市各级政府对职业教育的重视，沈阳市职业教育 3 | 　　有了较大发展。目前，沈阳市已有中等职业学校131所，中等职业学校教师9500人，专业教师4800人，在校生9万余人,年毕业生3万余人。 4 | 　　2006年，为了让职业教育有一个更大的发展，沈阳市决定不仅在硬件上加大投入，按照国家级示范校的标准建6所万人规模的中等职业学校，同时，还要在在软件建设上有一个新突破，按照国家职业教育教学质量评估标准，全面提升沈阳市中等职业学校教育教学质量。为此，沈阳市教育局借助清华大学这样一个高层次的培训平台，举办各种层次的共10期研修班，对分管各项工作的副校长和专业教师约500人进行培训，通过国家教育部职业与成人教育司有关领导、国内优秀企业家、教育专家、知名学者和国内重点职业院校校长的讲座及经验交流，使参加研修人员政策水平、理论知识、教学管理能力及个人学养得到提高，从而全面提升沈阳市职业院校的内涵建设，进一步培养、打造出一支高水平的职业院校优秀的管理者和“双师型”教师队伍。 5 | 　　沈阳市副市长王玲、沈阳市教育局局长李梦玲、教育部职成司副司长刘占山、清华大学副校长陈吉宁参加了首期研修班的开班仪式。他们表示，清华大学和沈阳市的这种合作，必将促进沈阳市职业教育的跨越式发展，双方在市、校人才合作培养模式上的有益探索，不仅会加深和扩大双方在各个领域的合作，也会对全国的职业教育提供有益的经验。 6 | 　　来源：光明日报 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000020/15.txt: -------------------------------------------------------------------------------- 1 | 　　每小时付费过百元 孩子压力大不领情 2 | 　　请家教不为辅导功课，而是帮孩子填报志愿。昨天（9日），北京高考填报志愿网站刚一开通，不少家长就开始雇用大学生当起了“志愿家教”。北师大家教中心的负责人说，目前已有数十位家长来登记。而在其他一些家教中心也出现了类似需求。“志愿家教”主要由大三、大四和研一的学生担任，费用一般为每小时100元至200元不等。 3 | 　　家长 4 | 　　向大学生打听高校情况 5 | 　　家住六里桥的许女士正读高三的儿子就要报志愿了。昨天（9日），她专门请了半天假到北师大家教中心打听“报志愿家教”的事儿。“家里人都不熟悉大学情况，问学校老师又怕老师忙不过来，因此想找个大学生当报志愿家教，给孩子讲一些大学的情况，比如学校风气呀、生活条件什么的，让我们心里有数。”许女士说，希望能找个大三、大四的学生当家教，对大学比较了解，和孩子年龄又相差得不太大，比较容易沟通。 6 | 　　家教 7 | 　　“过来人”经验有助抉择 8 | 　　北京师范大学大三学生葛庆已经和一位家长签好了合同，从昨天起，他将连续5天到考生家中辅导报志愿。葛庆说，自己去年就辅导过家里亲戚的孩子报志愿。“上了大学之后，才知道大学到底怎么样。考生光看一些介绍是不够的，就是应该多听听‘过来人’的说法。以我对大学的了解，我会给他我的建议。我在考生家里首先多和他聊，看他的兴趣，然后根据我的资源和经验帮他了解这个学校的情况，食堂的条件、宿舍的情况、考研的比例、某专业就业情况等。”葛庆笑着说，还有学校里男女生比例多少、女生是否漂亮什么的。这些信息对考生作出选择应该很有帮助的。 9 | 　　考生 10 | 　　被过多干涉感觉压力大 11 | 　　尽管家长乐此不疲，但高三学生小峰对妈妈请来的“志愿家教”并不喜欢。小峰说，“报志愿有这么难吗？要想了解学校的情况，上网查查不就行了，干吗非要花钱雇人呢？本来是我自己的事情，这么多人为我作主，让我反倒没了主意，也让我觉得压力特别大。” 12 | 　　专家提醒 13 | 　　不宜增加考生心理负担 14 | 　　“利用‘大朋友’的经验来帮助孩子，这是国外一种常见的做法。但这么做一定要有个‘度’，不要过多地给孩子增加心理负担。”北京青少年法律与心理咨询中心主任宗春山说，采取各种方式更多地关注孩子，实际上是家长内心焦虑的一种表现。高考在即，适当地“忽视孩子”是必要的，应该给孩子创造一个轻松的应考环境。也有专家指出，大学生们对大学的认识是否客观正确？是否会因为自身的局限给考生误导？专家建议，“志愿辅导”只是辅导，考生应有自己的选择，家长也应该尊重考生的意见。 15 | 编辑:苏琳 16 | 　　 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000022/10.txt: -------------------------------------------------------------------------------- 1 | 　　新华网深圳3月3日电（记者贾文军）全国拳击锦标赛3日在深圳市龙岗体育中心拉开战幕，在接下来的一周里，来自全国各地的200多名拳击健儿将在这里展开角逐。 2 | 3 | 　　本次锦标赛由国家体育总局拳击跆拳道运动管理中心主办。比赛设置了51公斤、57公斤、64公斤、75公斤和91公斤5个级别，全国各地共有45支代表队参赛。 4 | 5 | 　　此前，中国拳击队已经在深圳进行了3个月的冬训。国家体育总局拳击跆拳道运动管理中心副主任崔富国表示，要通过这次比赛来检验冬训的成果，也要根据比赛成绩为2008年北京奥运会选拔优秀人才。 6 | -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000022/11.txt: -------------------------------------------------------------------------------- 1 | 　　《看今天》两会特别报道已经开始启动，两会和我们每个人的生活息息相关，让我们一同关注两会。您最想跟两会的代表委员说些什么？您有什么问题和建议想告诉他们？您可以拨打《看今天》的热线电话：010-51005100，也可以在搜狐网的两会专题上留言，《看今天》栏目组将搭起你和两会代表委员之间的桥梁。（注：以下问题主要面对北京网民，如果您是外地网友，请注明你所在的地域） -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000022/12.txt: -------------------------------------------------------------------------------- 1 | 　　2006年2月25日北京，香港利苑饮食集团在京开办的第一家食府—北京利苑酒家,在位于王府井金宝街的金宝大厦内隆重开业，此次开业标志着香港利苑饮食集团首次将目光聚焦北京。 2 | 　　利苑酒家是近年来进驻北京历史最悠久的粤菜食府之一。自1973年在香港九龙开办第一家店以来, 利苑集团在饮食界已拚搏近30余年，旗下拥有13所酒家, 遍布香港、中国大陆、新加坡, 凭借着雄厚的实力, 各家店均屡获殊荣。1992年至2006年，新加坡利苑酒家连续24年荣获《Singapore Tatler》新加坡最佳食府之一；而香港利苑酒家则荣获《Hong Kong Tatler》2006年度香港最佳食府称号；2005年，利苑酒家被评为香港资本杰出行政品牌。 3 | 　　此次进驻北京，利苑在酒家的装潢与菜品烹制上煞费苦心。投资三千五百万元，特地邀请了的著名意大利裔设计师Hernan . Zanghellini为北京利苑进行设计，他曾经为香港多个著名的高级餐厅及会所提供设计。北京利苑囊括了中、西方传统与现代特色，充分满足顾客的各种需要。而独具利苑特色的16间贵宾厅房设有配餐间与洗手间，它们的独立设计也是十分精巧，既保证了菜品最大程度的鲜美又为宾客提供最便捷的服务。酒家的装饰也是匠心别具，每一个小小的饰物都是酒家费心竭力挑选、订做的。餐桌上每一盆花都是邀请香港著名插花大师，绿芷花艺公司（Green Finger）的陈庆让先生到京专程花费数天时间制作而成；酒家中每一件陈设都是费尽心思，四处搜罗精选而来；就连小小的餐具衬盘也是按照每一贵宾室不同的风格量身定做, 设计精美, 身价不斐。 4 | 　　此外，素有香港“饮食界少林寺”之称的利苑集团，在陈主席“先教做人，后教做事”的经营理念下，坚持以健康的原料、精湛的烹饪方法为顾客提供高贵、正宗的精美粤式菜品; 将食物最自然的颜色、最鲜美的味道搭配在一起，充分将食物最鲜美的一面展现在顾客面前，并不断对菜式进行创新，三十年来创出上千款菜式，将中国及世界各地食物的精华，融入传统粤菜之中，菜式千变万化，成为新派粤菜的佼佼者。北京利苑更是潜心研究“南菜北做”，坚持使用来自原产地的原料，保持食物最正宗的味道，使菜品既有传统粤菜的鲜美又更加符合北方顾客的口味；并且专程从香港、广州等老店调配经验丰富的优秀服务人员为北京店近200名员工进行培训；更是将高端科技运用到酒家经营当中，每个贵宾室均配有无线上网设施，最大限度地为客人提供方便，而点餐所用的电脑系统更是容纳了1万余种不同选择，满足每一位客人对菜品的特殊要求；尽力为顾客打造一个优雅、舒适的高品质的用餐空间。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000022/14.txt: -------------------------------------------------------------------------------- 1 | 　　大学生小袁网上投简历求职，一家自称设在广东的跨国公司分公司很快就打来电话进行“面试”。然而小袁查询该公司在上海的总部得知，他们没有在广东设立分公司，也没有在广东进行招聘。警方提醒，这很可能是个骗局。 2 | 　　小袁是在一知名人才网站上发出电子简历的，令小袁意外的是，简历没投几天，就有一家比较知名的半导体跨国公司给自己打来电话。一位姓曹的女士告诉他，公司现在正要 3 | 　　引进一批毕业生，年前就到岗培训，询问小袁有没有去的意向。欣喜若狂的小袁当即就同意了。1月15日，对方煞有介事地给小袁进行了电话招聘面试。三天后，小袁接到电话通知面试通过了，于1月22日到广东东莞体检、复试。 4 | 　　据小袁所知，这家半导体公司好像是在上海，而对方让去东莞复试，他有点纳闷。曹女士解释说，公司要在东莞设立分点，亟待一批相关专业的大学生加盟。随后，她又把公司丰厚的工资、住房待遇向小袁作了一番介绍。 5 | 　　小袁动心了，1月17日他来到火车站，准备预订到东莞的车票。由于没有直达车，到广州的票也没有了，他只好又回到了学校。此时，冷静下来的小袁才感觉事情有点不对劲。随后，他上网搜索了这家公司的详细资料，发现只有上海总部在发布招聘启事，其他地方根本就没有设立分公司。东莞的114也根本查不到这家公司的电话。 6 | 　　随后，小袁拨打了东莞110报警电话，当地民警告知这很可能是个骗局。此前就有不少急于找工作的大学生，被不法分子骗进传销窝点。 7 | 　　（来源：北京人才市场报） -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000022/15.txt: -------------------------------------------------------------------------------- 1 | 　　讲述：我网上求职险遭名企骗局 2 | 　　http://www.sina.com.cn 2006年01月28日10:31 3 | 　　大学生小袁网上投简历求职，一家自称设在广东的跨国公司分公司很快就打来电话进行“面试”。然而小袁查询该公司在上海的总部得知，他们没有在广东设立分公司，也没有在广东进行招聘。警方提醒，这很可能是个骗局。 4 | 　　小袁是在一知名人才网站上发出电子简历的，令小袁意外的是，简历没投几天，就有一家比较知名的半导体跨国公司给自己打来电话。一位姓曹的女士告诉他，公司现在正要 5 | 　　引进一批毕业生，年前就到岗培训，询问小袁有没有去的意向。欣喜若狂的小袁当即就同意了。1月15日，对方煞有介事地给小袁进行了电话招聘面试。三天后，小袁接到电话通知面试通过了，于1月22日到广东东莞体检、复试。 6 | 　　据小袁所知，这家半导体公司好像是在上海，而对方让去东莞复试，他有点纳闷。曹女士解释说，公司要在东莞设立分点，亟待一批相关专业的大学生加盟。随后，她又把公司丰厚的工资、住房待遇向小袁作了一番介绍。 7 | 　　小袁动心了，1月17日他来到火车站，准备预订到东莞的车票。由于没有直达车，到广州的票也没有了，他只好又回到了学校。此时，冷静下来的小袁才感觉事情有点不对劲。随后，他上网搜索了这家公司的详细资料，发现只有上海总部在发布招聘启事，其他地方根本就没有设立分公司。东莞的114也根本查不到这家公司的电话。 8 | 　　随后，小袁拨打了东莞110报警电话，当地民警告知这很可能是个骗局。此前就有不少急于找工作的大学生，被不法分子骗进传销窝点。(文/) 9 | 　　（来源：北京人才市场报） -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000022/17.txt: -------------------------------------------------------------------------------- 1 | 　　大学生小袁网上投简历求职，一家自称设在广东的跨国公司分公司很快就打来电话进行“面试”。然而小袁查询该公司在上海的总部得知，他们没有在广东设立分公司，也没有在广东进行招聘。警方提醒，这很可能是个骗局。 2 | 　　小袁是在一知名人才网站上发出电子简历的，令小袁意外的是，简历没投几天，就有一家比较知名的半导体跨国公司给自己打来电话。一位姓曹的女士告诉他，公司现在正要 3 | 　　引进一批毕业生，年前就到岗培训，询问小袁有没有去的意向。欣喜若狂的小袁当即就同意了。1月15日，对方煞有介事地给小袁进行了电话招聘面试。三天后，小袁接到电话通知面试通过了，于1月22日到广东东莞体检、复试。 4 | 　　据小袁所知，这家半导体公司好像是在上海，而对方让去东莞复试，他有点纳闷。曹女士解释说，公司要在东莞设立分点，亟待一批相关专业的大学生加盟。随后，她又把公司丰厚的工资、住房待遇向小袁作了一番介绍。 5 | 　　小袁动心了，1月17日他来到火车站，准备预订到东莞的车票。由于没有直达车，到广州的票也没有了，他只好又回到了学校。此时，冷静下来的小袁才感觉事情有点不对劲。随后，他上网搜索了这家公司的详细资料，发现只有上海总部在发布招聘启事，其他地方根本就没有设立分公司。东莞的114也根本查不到这家公司的电话。 6 | 　　随后，小袁拨打了东莞110报警电话，当地民警告知这很可能是个骗局。此前就有不少急于找工作的大学生，被不法分子骗进传销窝点。 7 | 　　（来源：北京人才市场报） -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000022/18.txt: -------------------------------------------------------------------------------- 1 | 　　大学生小袁网上投简历求职，一家自称设在广东的跨国公司分公司很快就打来电话进行“面试”。然而小袁查询该公司在上海的总部得知，他们没有在广东设立分公司，也没有在广东进行招聘。警方提醒，这很可能是个骗局。 2 | 　　小袁是在一知名人才网站上发出电子简历的，令小袁意外的是，简历没投几天，就有一家比较知名的半导体跨国公司给自己打来电话。一位姓曹的女士告诉他，公司现在正要 3 | 　　引进一批毕业生，年前就到岗培训，询问小袁有没有去的意向。欣喜若狂的小袁当即就同意了。1月15日，对方煞有介事地给小袁进行了电话招聘面试。三天后，小袁接到电话通知面试通过了，于1月22日到广东东莞体检、复试。 4 | 　　据小袁所知，这家半导体公司好像是在上海，而对方让去东莞复试，他有点纳闷。曹女士解释说，公司要在东莞设立分点，亟待一批相关专业的大学生加盟。随后，她又把公司丰厚的工资、住房待遇向小袁作了一番介绍。 5 | 　　小袁动心了，1月17日他来到火车站，准备预订到东莞的车票。由于没有直达车，到广州的票也没有了，他只好又回到了学校。此时，冷静下来的小袁才感觉事情有点不对劲。随后，他上网搜索了这家公司的详细资料，发现只有上海总部在发布招聘启事，其他地方根本就没有设立分公司。东莞的114也根本查不到这家公司的电话。 6 | 　　随后，小袁拨打了东莞110报警电话，当地民警告知这很可能是个骗局。此前就有不少急于找工作的大学生，被不法分子骗进传销窝点。 7 | 　　（来源：北京人才市场报） -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000022/19.txt: -------------------------------------------------------------------------------- 1 | 　　20位网友领到免费回家机票 2 | 　　自从Qunar与搜狐、天益游网站合办“夺宝奇兵”的活动以来，已经有好多人中得免费机票，其中有二十位已经定好回家的机票，时间就在临近春节之前。为了让大家能够轻松愉快的领到机票，Qunar和天益游决定把领票地点放在咖啡店，让大家既可领到免费机票，又可以享受到咖啡的浓香，让活动至始至终有个完美的诠释。 3 | 　　上周五晚上六点多钟，中奖人陆陆续续来到领奖现场，在Qunar几个工作人员的组织下，由去哪儿旅游搜索引擎合伙人庄臣超和天益游总经理谭治国把机票发到每位中奖人手中。先来的惊诧，后来的惊讶，大家都没想到有这么多中得大奖的人可以拿到年前的免费机票。其中有好几位家离北京都很远，家在贵阳、兰州、重庆、广州的都有，每次都挺害怕过年，而今年他们不再为此而担心了。当大家听到还有到机场的免费接送时，不由得发出欢乐的笑声。 4 | 　　活动很快结束了，大家留下合影，也回去了。对某些人来说这一刻已经在记忆中消失，而对于某些人来说，这一刻刻骨铭心！ -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000023/10.txt: -------------------------------------------------------------------------------- 1 |  　　从今天的影响来看，2004年创立的"数字炼金馆"无疑是"数独"兴起历程中一个标志性事件，尽管它当初不过是数独天才们互相诘难的产物。　　随着不断有更多的数独爱好者向他们提问，"数字炼金馆"认为有必要精炼"数独"题的篇目，以原创的经典题目让更多数独迷得到打开数字迷宫的快乐，而不是被垃圾题目弄得晕头转向。　　现在，68%的数独迷只做《疯狂数独》的题目，因为，它意味着更多的原创、更多的经典、更多的快乐、更多的疯狂。　　数独（Sudoku）是目前风靡全球的一种数字游戏，其概念源自两百年前盲眼的瑞士数学家欧拉发明的"拉丁方格"的游戏。但数独一词来自日文（すうどく），是由"数"和"独"两个词组成，这一游戏完全适合当今这个以游戏为乐事的时代，而且数独游戏无需翻译就能跨越一切国界。　　这种游戏令很多人为之痴狂，而且同步席卷了整个世界。英国几乎所有的报纸都刊登了数独游戏，甚至还进了黄金时间的电视节目里；从澳大利亚到克罗地亚，从法国到美国，各家报纸杂志纷纷刊登这种填数游戏，日本人每月购买的数独杂志超过60万份，《纽约时报》甚至考虑将数独与其备受推崇的纵横字谜一同纳入在周日刊上；网络上的数独游戏数不胜数，人们甚至可以将它下载到手机上。有人预言，数独可能会重演20世纪80年代全球人手一个"魔方"的盛况。　　人们在推究数独热的原因时，首先想到的是很多国家的人本来就喜爱玩拼图游戏；再者，数字具有神奇的属性，数的性质让无数数学大师痴迷，很多举世闻名的数学难题都是数论问题。　　当然，数独的流行还有深层次的原因，在3D游戏、网游等各种高级游戏越来越华丽、玩法越来越复杂的今天，如同其他很多越来越复杂的新事物一样，新游戏已经丧失了简单游戏的很多优点。然而，数独由于规则简单，却变化无穷，在推敲之中完全不必用到数学计算，只需运用逻辑推理能力，所以受到老少男女的喜爱。　　数独也许算不上刺激，但非常有趣，似乎思路被卡住了，却突然之间推敲出某个数字，从而成功地解出答案，由此而生的满足感棒极了。这是一个从混乱中理出头绪的游戏，能够在不确定的生活里，随时拥有如此简单且立即的"惊喜"，总是令人心情愉快的。　　在中国，《疯狂数独》作为数字炼金馆的原创经典，引领了数独爱好者的疯狂，数独在中国即将掀起一阵数字游戏的狂风，迅速中小学生手中风靡起来，随之成为众多青少年和都市白领为之痴迷的智力、娱乐游戏。人手一册《疯狂数独》，考验和你智力和能力，挑战数独的极限境界。　　出版社：中国三峡出版社　　出版时间：2005年10月　　定价：20元　　 共找到20,159,004 2 | 个相关网页. -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000023/11.txt: -------------------------------------------------------------------------------- 1 |  　　由文物出版社出版的《中国大史记·传世邮币珍藏》26日在故宫太庙举行了首发式。据出版方介绍，这套图书创造了中国出版界的六个第一，一问世便吸引了足够的眼球。　　据介绍，《中国大史记·传世邮币珍藏》共收藏了100枚中国古代钱币珍品和722枚邮票真品，根据不同历史朝代的更替，分为八卷。每卷 图书除收录相对应时期的邮票与古币外，还设有“历史故事”、“中国大事记”、“世界大事记”、“历史小百科”四大文字版块，使五千年中华历史风云更加立体、深入地呈现在读者面前。这样厚重的安排使得本书创造了多项中国出版史上的六个第一，一出世而惊四座，成为今年出版界最引人瞩目的图书之一。　　这六项第一是：　　——最全，是第一部不断代的以中国古钱币和邮票实物佐证历史的大全；　　——最多，收藏的古钱币和邮票珍品总数多达800多枚，任何其他同类图书都难望其项背；　　——最早，古代钱币从4000多年前我国最早的原始货币“贝币”开始，到骨贝、“蚁鼻钱”、秦半两、“一化”、刀币等珍稀古币一路沿承，直至清朝最后一枚方孔圆钱——宣统通宝，邮票则包括中国1888年出品的第二枚邮票“小龙票”；　　　 ——材质最丰富，除金币外的所有钱币材质，如天然贝、骨、铜、铁、铅锡、银、镍均有收藏；　　——最珍稀，如远古的贝币、刀币、布币，中国第二枚邮票“小龙票”、数十枚“文革”时期邮票和老纪特票等；　　——最少，全国仅发行2000册，决不再版，也不可能再版。　　《中国大史记》是翰墨林公司酝酿、筹备多年、积钱币学专家、历史学家、设计大师、策划大师之力，经过三年准备、一年制作之功所得。书中收录的所有钱币和邮票均经相关权威部门鉴定为真品。　　当目睹这些锈迹斑驳、饱经历史沧桑的古钱币，中国5000年来的文明进程、社会兴衰、王朝更迭乃至经济的起落跃然于眼前。从秦皇汉武到唐宗宋祖，从春秋战国到隋唐明清，直至光绪民国。历史不再是尘封的典籍，从此鲜活生动起来；当七百余枚邮票成为中国上下五千年历史的形象载体，就获得了前所未有的冲击力，讲述着中国数千年的历史，展示着中华灿烂文化，直观地表现了中华文明前进的脚步。　　正是由于这六个出版界第一，该书策划人饶声勇在首发式上自豪地说，文明的脉搏、文化的回声、文物的绝唱，薪火相传，百世一系，尽汇《中国大史记》。　　原人大常会副委员长布赫，文化部副部长郑欣淼，国家文物局博物馆专家组组长、中国博物馆学会理事长、国际博协中国国家委员会主席、北京市人民政府专家顾问团顾问吕济民，中华全国集邮联合会秘书长盛名环，收藏协会副会长杜耀西等出席了北京秀世传播机构承办的首发式，全国政协副主席张克辉为首发式撰写了贺信。 共找到985,015 2 | 个相关网页. -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000023/12.txt: -------------------------------------------------------------------------------- 1 | 　　杭州　　时间：2005年10月9日－11日 9：00－18：00　　地址：杭州华辰国际饭店 四层会议厅（杭州平海路27号）　　南京　　时间：2005年10月17日－19日 9：00－18：00　　地址：南京希尔顿国际大酒店 二层A厅（南京中山东路319号）　　上海　　时间：2005年10月21日－23日 9：00－18：00　　地址：上海图书馆 第一展厅（上海市淮海中路1555号）　　济南　　时间：2005年10月27日－29日 9：00－18：00　　地址：山东大厦 一层多功能厅（济南市马鞍山路2-1号）　　北京　　时间：2005年11月1日－3日 9：00－18：00　　地址：北京港澳中心 二层宴会大厅（北京朝阳门北大街2号）　　　　拍 卖 预 展　　时间：2005年11月23日－25日 9：00－20：00　　地点：北京亚洲大酒店（北京工体北路新中西街８号）　　拍 卖　　时间：　　2005年11月26 上午9：30 2005年11月26 下午13：00　　中国书画（一） 中国书画（二）　　2005年11月27 上午9：30　　中国书画（三） －－《当代中国画风貌》　　2005年11月27 下午13：00　　中国油画　　地点：北京亚洲大酒店 三层多功能厅（北京工体北路新中西街８号）　　搜狗(www.sogou.com)搜索:“书画”,共找到2,095,334 2 | 个相关网页. -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000023/14.txt: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 《大长今》调查 6 | 7 | 1、你看《大长今》吗？ 8 | 9 | 不看 10 | 11 | 赶上就看 12 | 13 | 正在追着看 14 | 15 | 看过n遍 16 | 17 | 2、《大长今》吸引你的是 18 | 19 | 情节曲折，悬念迭起 20 | 21 | 俊男靓女美食 22 | 23 | 爱情亲情友情感人，台词经典 24 | 25 | 励志向上，善和美打动人心 26 | 27 | 3、你认为日韩剧成功在哪里 28 | 29 | 细节取胜，平淡中见真情 30 | 31 | 情节设计合理，戏剧性强 32 | 33 | 人物立体丰满，贴近生活，比较真实 34 | 35 | 演员表演分寸适当，不夸张 36 | 37 | 包含很多时尚元素，画面唯美 38 | 39 | 40 | var NewWin = null; function WinOpen(url) {if(!NewWin || NewWin.closed) {NewWin=LoadWin(url,'win_poll',418,300);}else{NewWin.focus();}} function LoadWin(url, name, width, height) {var str='scrollbars,resizable,location,height='+height+',innerHeight='+height+',width='+width+',innerWidth='+width; if(window.screen) {var ah=screen.availHeight-30; var aw=screen.availWidth-10; var xc=(aw-width)/2; var yc=(ah-height)/2; str +=',left='+xc+',screenX='+xc; str +=',top='+yc+',screenY='+yc;} return window.open(url,name,str); }搜狗(www.sogou.com)搜索:“人物”,共找到28,456,427 41 | 个相关网页. -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000023/15.txt: -------------------------------------------------------------------------------- 1 | 2 | 【哀乐中年】 1949年文华影业公司出品 3 | 哀乐中年 4 |     原著：张爱玲编剧：桑弧导演：桑弧片长：100分钟色彩：黑白主演：石  挥  饰  陈绍常      韩  非  饰  陈建中      李浣青  饰  经理女儿      朱嘉琛  饰  敏华 5 | 【剧情简介】 6 |     陈绍常创办小学多年，自任校长。其妻英年早逝，留下三个孩子赖他照料。别人每每劝他续弦，但他目睹挚友刘之权的女儿敏华备受后母虐待之苦，便打消了续娶之念。后来，刘之权全家迁居外地，多年音讯杳然。某日，敏华突然前来叩见，谋求职业。绍常同情她的遭遇，便留她在校任教。此时，绍常的孩子也都成人。长子建中在一家银行供职，与银行经理的女儿结婚，社会地位也日益提高。他力劝绍常退休，在家颐养晚年。绍常被勉强说服而向学校提出辞呈，并推荐敏华继任校长。建中为了表示支持，恳请岳父捐款给学校并担任学校的董事长。绍常赋闲在家，孩子们成家后，与他往来日疏。只有敏华，为了工作常来和他谈心，她深知他的事业心很强，生命力也还旺盛，应该工作。经敏华热情、诚挚的邀请，绍常又回到学校。不久，学校里一个同事托他向敏华求婚，他忽然感到一种异样的心情，开始觉察到自己已爱上敏华。同时，他发现敏华也一直爱着他。于是，他告诉建中，自己准备结婚，却遭到建中与家里所有人的坚决反对。建中并宣称，他代表岳父以学校董事长的名义，将敏华撤职。绍常为维护他和敏华的感情，也毅然离开学校。他俩结婚后，共同创办另一所小学。在新学校开学之日，也正是敏华的婴儿呱呱坠地之时，他们都感到“生命无处不在”的喜悦。上一页 [1] [2] [3] [4] [5] [6] [7] [8] [9] 下一页  -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000023/16.txt: -------------------------------------------------------------------------------- 1 | 2 | 【倾城之恋】     1984年香港邵氏公司出品 3 | 倾城之恋 4 |       到处都是传奇，可不见得有这么圆满的收场。胡琴咿咿呀呀拉着，在万盏灯火的夜晚，拉过来又拉过去，说不尽的苍凉的故事——不问也罢！---【倾城之恋】 5 | 出品：邵逸夫原著：张爱玲改编：蓬草美术：区丁平摄影：何东尼作曲：林敏怡作词：林敏聪演唱：汪明荃片长：95min语言：粤语/普通话外文别名：Love in a FallenCity(1984)副导演：关锦鹏、曹建南导演：许鞍华主演：周润发  饰  范柳原      缪骞人  饰  白流苏获奖：第25届金马奖最佳服装设计       第4届香港电影金像奖最佳音乐 6 | 【剧情简介】       本片改编自张爱玲的同名原著小说，是一部具有相当怀旧色彩的爱情故事，讲述一个城市（香港）的陷落，是为了成全范柳原（周润发）和白流苏（缪骞人）的爱情。导演许鞍华捕捉到了男女之间那种似假还真的微妙感情，但对白有所拘紧，局限在原著小说中，有欠挥洒自如。本片的情节发展为前后二部分，前半部描写离婚多年的白流苏在上海的娘家饱爱兄嫂的讽刺欺凌，后半部白流苏到了香港，跟风流浪子周润发展开了拉锯式的爱情。缪演得相当敏感而细腻，把一个不错的上海女子塑造得相当有味道，而周也卖弄了他的俊雅潇洒。幸而导演掌握了对白独有的尖刻嘲讽，重现了香港四十年代的风情。上一页 [1] [2] [3] [4] [5] [6] [7] [8] [9] 下一页  -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000023/19.txt: -------------------------------------------------------------------------------- 1 | 2 | 《金锁记》 3 | 金锁记 4 | 　　 根据张爱玲同名小说改编，“张爱玲名著中的名著”，继《大宅门》《橘子红了》之后又一部唯美、豪华的家族大戏。清末民初，小镇上天真烂漫的少女曹七巧（刘欣饰）和京城大户姜家的三少爷季泽（邵峰饰）一见钟情，可七巧的哥哥曹大年（刘永生饰）贪图钱财要把妹妹嫁给患有软骨病的老二钟泽（气壳饰），七巧为了接近季泽，答应这门婚事。失望至极的季泽在仲泽的婚宴上喝得酩酊大醉，令七巧心痛欲裂。此后，季泽越来越沉沦，常常夜宿妓院，七巧冒险到妓院劝阻，与酒醉的季泽同居了一晚，并因此怀孕，生下一子，由此招致众人的诸多非议。仲泽为保护妻子，临终时，坚定地声称自己是这孩子的亲生父亲，姜老太太（奚美娟饰）亦为维护自家的名声，痛斥众人对七巧的攻击。老大伯泽（程前饰）夫妇为了倾吞家产，利用七巧对季泽的感情，设下一个个圈套，造成七巧和季泽误会重重，使得她们本来纯洁的情感在金钱和岁月的摧残下渐渐消逝。于是七巧的人格开始扭曲，性情变得冷酷，她甚至亲手毁掉了儿女的婚姻和幸福，变成一个刻薄自私、终日靠鸦片麻痹灵魂的女人。 上一页 [1] [2] [3] [4] [5] [6] [7] [8] [9] 下一页  -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000024/10.txt: -------------------------------------------------------------------------------- 1 | 2 | 　　本报北京5月9日电 3 | 董宾、高立英报道：北空某导弹团今天传出喜讯，营参谋长谭正提出的兵器改进方案，使困扰该团和兵器设计厂家三载的兵器重大隐患迎刃而解，赢得了官兵和有关专家的赞扬。 4 | 　　几年前，该团列装新型防空导弹，在检验性实弹打靶中，几次出现故障，影响了该新型武器系统战斗力的发挥。为彻底查找兵器问题隐患，有关兵器研发厂家多次派专家组进行伴随保障和跟踪观察。然而，由于故障症结难被察觉，问题始终久拖未决。 5 | 　　在该团前不久的实弹演练时，营参谋长谭正在调试兵器参数过程中，敏锐地察觉到这一问题再次出现。经过分析论证，他果断推定：战车某项计算机程序编排不当，是造成系统作战程序相互冲突和影响的主要原因。为此，他大胆提出了改进方案。有关专家对近百样程序进行抽样检测后，肯定了他的看法。针对他的建议，该团随后采取了应急措施，清除了故障隐患，打出了全面列装后的“满堂红”，长期困扰兵器故障终于得以解决。 6 | 　　看似偶然却艰辛。据了解，为彻底查找出武器系统隐患，谭正经过大量实践，对兵器性能了然于心，记下了几大本操作心得，先后对几十种可能的原因逐一进行推测、判断和排除，对上万组计算机数据进行统计、采样、筛选和分析，最终使问题顺利得以解决。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000024/15.txt: -------------------------------------------------------------------------------- 1 | 2 | 　　中新网5月9日电 3 | 据共同社报道，围绕导弹防御系统(MD)问题，日本海上自卫队9日宣布，将派海上自卫队“宙斯盾”舰参加美国即将于6月在夏威夷近海实施的海基型拦截导弹(SM3)的拦截试验，对目标进行雷达跟踪。 4 | 　　“宙斯盾”护卫舰是首次参加此类拦截演习。海上自卫队幕僚长(相当于参谋长)斋藤隆表示，“将力争提高双方在海上的相互协调性”，由此可见，日美在MD方面共享信息等合作体制将进一步得到确立。 5 | 　　据海上自卫队透露，预定参加此次演习的是曾经根据《反恐特别措施法》在阿拉伯海上进行过海上燃油补给活动的“雾岛(KIRISHIMA)”号(7250吨)。美国海军的“宙斯盾”舰计划用SM3对模拟弹道导弹进行拦截,而“雾岛”号将跟踪模拟弹道导弹的轨迹。 6 | 　　“雾岛”号计划于本月从位于神奈川县的横须贺基地出发，在参加拦截试验结束后还将参加环太平洋联合演习。 7 | 　　美国迄今为止曾6次成功地进行了SM3拦截试验。日本政府将于2007年度年底开始为海上自卫队的”宙斯盾”护卫舰装备SM3。 -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000024/16.txt: -------------------------------------------------------------------------------- 1 | 　　“猎鹰”展翅——中国L15新型高级教练机研制成功 2 | 　　"猎鹰"的首飞成功，对于完善中国初、中、高级教练机的研制生产体系，满足第三代和新型飞机飞行员的训练需要，竞争国际教练机市场都具有重要的意义。 3 | 　　伊朗全面备战防突袭 4 | 　　伊朗加紧更新武器装备、扩大弹道导弹生产与储存，本着“放进来打”的原则，发挥自身本土作战的优势，使侵略者意识到，与伊朗的战争将是一场得不偿失之仗。 5 | 　　台军重视烟幕装备 6 | 　　美国新驻华武官打过仗 7 | 　　英国海军的希望——45型导弹驱逐舰 8 | 　　目标：伊朗核设施——以色列F-16I战斗机 9 | 　　二战中的德国直升机 10 | 　　坦克与直升机之争 11 | 　　PzH2000自行榴弹炮行销欧洲 12 | 　　美国的反恐适应性训练基地 13 | 　　美军士兵在基地几可乱真的模拟环境中练战术、练协同，也练习如何与占领区居民打交道。为期两周左右的高强度培训，让士兵更从容地开赴反恐前线。 14 | 　　铁甲的圣地——中国坦克博物馆行记 15 | 　　中国唯一一座以坦克装甲兵为主题的专题博物馆，其中不乏珍贵的馆藏文物，作为军事爱好者，这是不容错过的好去处。 16 | 　　可预知的屠戮——老虎峰血战沉思 17 | 　　老虎峰是印巴军事对峙的锡亚琴冰川地区的重要咽喉要地。1999年的卡吉尔之战中，印巴双方曾在这里展开了一场殊死的厮杀。 18 | 　　X-23突击步枪 19 | 　　X-23是读者设计的一款突击步枪，集成了G36和SCAR的部分优点，用3DMax软件制作完成。   -------------------------------------------------------------------------------- /naive_bayes/dataset/train_data/C000024/19.txt: -------------------------------------------------------------------------------- 1 | 2 | 　　以禁止女兵穿低腰裤 3 | 　　已有120名女兵因违规被关禁闭 4 | 　　据新华社电　以军日前正在开展一场“全方位作战行动”。这次作战的目标可不是巴勒斯坦，而是女兵的低腰裤。 5 | 　　以军一位发言人7日说：“根据以色列国防军军纪，北方司令部决定实施更加严格的政策，使士兵的穿着符合纪律规定。”以色列女兵纷纷抱怨说，军装不能很好地展示她们的身材。为了追赶时尚潮流，这些女兵们经常重新设计自己的军装，有些人甚至把它们改成了低腰裤。然而，女兵们爱美的天性并没有获得军队指挥官的同情，他们认为，低腰裤严重威胁着以军的纪律基础。 6 | 　　以军要求女兵们把那些改过的低腰裤交到军需商店，以换回符合规定的军裤。此外，目前已经约有120名女兵因穿着违规低腰裤而被关禁闭。　 -------------------------------------------------------------------------------- /svm/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/double-point/machine_learning/282e3a14975ef4f6f0c276121adb5ea4e217fbd4/svm/README.md -------------------------------------------------------------------------------- /svm/__init__.py: -------------------------------------------------------------------------------- 1 | # encoding:utf-8 2 | # FileName: __init__.py 3 | # Author: xiaoyi | 小一 4 | # email: 1010490079@qq.com 5 | # Date: 2020/4/16 19:03 6 | # Description: svm实战项目【肿瘤的预测】 7 | 8 | import pandas as pd 9 | import numpy as np 10 | 11 | # 显示所有列 12 | pd.set_option('display.max_columns', None) 13 | # 显示所有行 14 | # pd.set_option('display.max_rows', None) 15 | 16 | 17 | if __name__ == '__main__': 18 | pass -------------------------------------------------------------------------------- /svm/read_data.py: -------------------------------------------------------------------------------- 1 | # encoding:utf-8 2 | # FileName: read_data 3 | # Author: xiaoyi | 小一 4 | # email: 1010490079@qq.com 5 | # Date: 2020/4/16 19:08 6 | # Description: 7 | 8 | import pandas as pd 9 | import numpy as np 10 | 11 | # 显示所有列 12 | pd.set_option('display.max_columns', None) 13 | # 显示所有行 14 | # pd.set_option('display.max_rows', None) 15 | 16 | 17 | def read_data(filepath): 18 | """ 19 | 读取数据 20 | @param filepath: 21 | @return: 22 | """ 23 | df_data = pd.read_csv(filepath) 24 | 25 | return df_data 26 | 27 | 28 | if __name__ == '__main__': 29 | filepath = 'data.csv' 30 | df_data = read_data(filepath) --------------------------------------------------------------------------------