├── knn-tf
├── index.js
├── package.json
├── load-csv.js
└── package-lock.json
├── .gitignore
├── plinko
├── score.js
├── lib
│ ├── style.css
│ └── index.js
└── index.html
├── regressions
├── package.json
├── load-csv.js
├── package-lock.json
└── cars.csv
└── README.md
/knn-tf/index.js:
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1 |
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/.gitignore:
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1 | plinko_analysis
2 | .DS_Store
3 | node_modules
4 |
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/plinko/score.js:
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1 | function onScoreUpdate(dropPosition, bounciness, size, bucketLabel) {
2 | // Ran every time a balls drops into a bucket
3 | }
4 |
5 | function runAnalysis() {
6 | // Write code here to analyze stuff
7 | }
8 |
9 |
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/knn-tf/package.json:
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1 | {
2 | "name": "knn-tf",
3 | "version": "1.0.0",
4 | "description": "",
5 | "main": "index.js",
6 | "scripts": {
7 | "test": "echo \"Error: no test specified\" && exit 1"
8 | },
9 | "author": "",
10 | "license": "ISC",
11 | "dependencies": {
12 | "@tensorflow/tfjs-node": "^0.1.17",
13 | "lodash": "^4.17.11",
14 | "shuffle-seed": "^1.1.6"
15 | }
16 | }
17 |
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/regressions/package.json:
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1 | {
2 | "name": "logistic_regression",
3 | "version": "1.0.0",
4 | "description": "",
5 | "main": "index.js",
6 | "scripts": {},
7 | "author": "",
8 | "license": "ISC",
9 | "dependencies": {
10 | "@tensorflow/tfjs-node": "^0.1.17",
11 | "lodash": "^4.17.11",
12 | "memoize": "^0.1.1",
13 | "mnist-data": "^1.2.6",
14 | "node-remote-plot": "^1.2.0",
15 | "shuffle-seed": "^1.1.6"
16 | }
17 | }
18 |
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/README.md:
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1 | # ML Kits
2 |
3 | Starter projects for learning about Machine Learning.
4 |
5 | ## Downloading
6 |
7 | There are two ways to download this repository - either as a zip or by using git.
8 |
9 | ### Zip Download
10 |
11 | To download this project as a zip file, find the green 'Clone or Download' button on the top right hand side. Click that button, then download this project as a zip file.
12 |
13 | Once downloaded extract the zip file to your local computer.
14 |
15 | ### Git Download
16 |
17 | To download this project using git, run the following command at your terminal:
18 |
19 | ```
20 | git clone https://github.com/StephenGrider/MLKits.git
21 | ```
22 |
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/plinko/lib/style.css:
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1 | .target-wrapper {
2 | display: flex;
3 | justify-content: center;
4 | align-items: center;
5 | margin-bottom: 10px;
6 | flex-direction: column;
7 | position: relative;
8 | }
9 |
10 | canvas {
11 | border: 1px solid gray;
12 | }
13 |
14 | .bucket-labels {
15 | display: flex;
16 | max-width: 795px;
17 | justify-content: space-around;
18 | }
19 |
20 | .bucket-labels > div {
21 | z-index: 10;
22 | margin-top: -67px;
23 | min-width: 79.5px;
24 | text-align: center;
25 | }
26 |
27 | .bucket-labels .score {
28 | font-weight: bolder;
29 | font-size: 20px;
30 | }
31 |
32 | .wrapper {
33 | margin: 20px;
34 | }
35 |
36 | .x-axis {
37 | position: absolute;
38 | z-index: 10;
39 | top: 0px;
40 | left: 10px;
41 | }
42 |
43 | /* .x-axis span.neck {
44 | display: inline-block;
45 | min-width: 200px;
46 | border-bottom: 1px solid black;
47 | position: relative;
48 | bottom: 6px;
49 | right: -9px;
50 | }
51 |
52 | .x-axis span.head {
53 | font-size: 18px;
54 | } */
55 |
56 | .x-position {
57 | position: absolute;
58 | right: 10px;
59 | }
60 |
61 | .target-wrapper > div {
62 | position: relative;
63 | }
64 |
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/knn-tf/load-csv.js:
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1 | const fs = require('fs');
2 | const _ = require('lodash');
3 | const shuffleSeed = require('shuffle-seed');
4 |
5 | function extractColumns(data, columnNames) {
6 | const headers = _.first(data);
7 |
8 | const indexes = _.map(columnNames, column => headers.indexOf(column));
9 | const extracted = _.map(data, row => _.pullAt(row, indexes));
10 |
11 | return extracted;
12 | }
13 |
14 | module.exports = function loadCSV(
15 | filename,
16 | {
17 | dataColumns = [],
18 | labelColumns = [],
19 | converters = {},
20 | shuffle = false,
21 | splitTest = false
22 | }
23 | ) {
24 | let data = fs.readFileSync(filename, { encoding: 'utf-8' });
25 | data = _.map(data.split('\n'), d => d.split(','));
26 | data = _.dropRightWhile(data, val => _.isEqual(val, ['']));
27 | const headers = _.first(data);
28 |
29 | data = _.map(data, (row, index) => {
30 | if (index === 0) {
31 | return row;
32 | }
33 | return _.map(row, (element, index) => {
34 | if (converters[headers[index]]) {
35 | const converted = converters[headers[index]](element);
36 | return _.isNaN(converted) ? element : converted;
37 | }
38 |
39 | const result = parseFloat(element.replace('"', ''));
40 | return _.isNaN(result) ? element : result;
41 | });
42 | });
43 |
44 | let labels = extractColumns(data, labelColumns);
45 | data = extractColumns(data, dataColumns);
46 |
47 | data.shift();
48 | labels.shift();
49 |
50 | if (shuffle) {
51 | data = shuffleSeed.shuffle(data, 'phrase');
52 | labels = shuffleSeed.shuffle(labels, 'phrase');
53 | }
54 |
55 | if (splitTest) {
56 | const trainSize = _.isNumber(splitTest)
57 | ? splitTest
58 | : Math.floor(data.length / 2);
59 |
60 | return {
61 | features: data.slice(trainSize),
62 | labels: labels.slice(trainSize),
63 | testFeatures: data.slice(0, trainSize),
64 | testLabels: labels.slice(0, trainSize)
65 | };
66 | } else {
67 | return { features: data, labels };
68 | }
69 | };
70 |
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/regressions/load-csv.js:
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1 | const fs = require('fs');
2 | const _ = require('lodash');
3 | const shuffleSeed = require('shuffle-seed');
4 |
5 | function extractColumns(data, columnNames) {
6 | const headers = _.first(data);
7 |
8 | const indexes = _.map(columnNames, column => headers.indexOf(column));
9 | const extracted = _.map(data, row => _.pullAt(row, indexes));
10 |
11 | return extracted;
12 | }
13 |
14 | module.exports = function loadCSV(
15 | filename,
16 | {
17 | dataColumns = [],
18 | labelColumns = [],
19 | converters = {},
20 | shuffle = false,
21 | splitTest = false
22 | }
23 | ) {
24 | let data = fs.readFileSync(filename, { encoding: 'utf-8' });
25 | data = _.map(data.split('\n'), d => d.split(','));
26 | data = _.dropRightWhile(data, val => _.isEqual(val, ['']));
27 | const headers = _.first(data);
28 |
29 | data = _.map(data, (row, index) => {
30 | if (index === 0) {
31 | return row;
32 | }
33 | return _.map(row, (element, index) => {
34 | if (converters[headers[index]]) {
35 | const converted = converters[headers[index]](element);
36 | return _.isNaN(converted) ? element : converted;
37 | }
38 |
39 | const result = parseFloat(element.replace('"', ''));
40 | return _.isNaN(result) ? element : result;
41 | });
42 | });
43 |
44 | let labels = extractColumns(data, labelColumns);
45 | data = extractColumns(data, dataColumns);
46 |
47 | data.shift();
48 | labels.shift();
49 |
50 | if (shuffle) {
51 | data = shuffleSeed.shuffle(data, 'phrase');
52 | labels = shuffleSeed.shuffle(labels, 'phrase');
53 | }
54 |
55 | if (splitTest) {
56 | const trainSize = _.isNumber(splitTest)
57 | ? splitTest
58 | : Math.floor(data.length / 2);
59 |
60 | return {
61 | features: data.slice(trainSize),
62 | labels: labels.slice(trainSize),
63 | testFeatures: data.slice(0, trainSize),
64 | testLabels: labels.slice(0, trainSize)
65 | };
66 | } else {
67 | return { features: data, labels };
68 | }
69 | };
70 |
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/plinko/index.html:
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1 |
2 |
3 |
4 |
5 |
6 | Plinko
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
20 |
21 |
22 |
23 |
0
24 |
Bucket #1
25 |
26 |
27 |
0
28 |
Bucket #2
29 |
30 |
31 |
0
32 |
Bucket #3
33 |
34 |
35 |
0
36 |
Bucket #4
37 |
38 |
39 |
0
40 |
Bucket #5
41 |
42 |
43 |
0
44 |
Bucket #6
45 |
46 |
47 |
0
48 |
Bucket #7
49 |
50 |
51 |
0
52 |
Bucket #8
53 |
54 |
55 |
0
56 |
Bucket #9
57 |
58 |
59 |
0
60 |
Bucket #10
61 |
62 |
63 |
64 |
65 |
97 |
98 |
99 |
100 |
107 |
108 |
120 |
121 |
133 |
134 |
144 |
145 |
146 |
147 |
148 |
151 |
152 |
153 |
154 |
155 |
156 |
157 |
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/plinko/lib/index.js:
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1 | //////////////////////////////////////////
2 | // Hi!
3 | // You probably don't need to edit me
4 | //////////////////////////////////////////
5 |
6 | const BALL_SIZE = 16;
7 | const CANVAS_HEIGHT = 600;
8 | const CANVAS_WIDTH = 794;
9 | const PEG_X = 70;
10 | const PEG_Y = 70;
11 | const BUCKET_COLOR = '#b2ebf2';
12 | const COLORS = [
13 | '#e1f5fe',
14 | '#b3e5fc',
15 | '#81d4fa',
16 | '#4fc3f7',
17 | '#29b6f6',
18 | '#03a9f4',
19 | '#039be5',
20 | '#0288d1',
21 | '#0277bd',
22 | '#01579b'
23 | ];
24 |
25 | const Engine = Matter.Engine,
26 | Render = Matter.Render,
27 | World = Matter.World,
28 | Bodies = Matter.Bodies,
29 | Events = Matter.Events,
30 | Body = Matter.Body;
31 |
32 | const engine = Engine.create({
33 | timing: { timeScale: 2 }
34 | });
35 | const render = Render.create({
36 | element: document.querySelector('.target'),
37 | engine: engine,
38 | options: {
39 | width: CANVAS_WIDTH,
40 | height: CANVAS_HEIGHT,
41 | wireframes: false,
42 | background: '#f1f1f1'
43 | }
44 | });
45 |
46 | const ground = Bodies.rectangle(
47 | CANVAS_WIDTH / 2,
48 | CANVAS_HEIGHT,
49 | CANVAS_WIDTH * 3,
50 | 50,
51 | {
52 | id: 999,
53 | isStatic: true,
54 | collisionFilter: { group: 'ground' }
55 | }
56 | );
57 | const ground2 = Bodies.rectangle(0, CANVAS_HEIGHT, CANVAS_WIDTH * 3, 50, {
58 | id: 9999,
59 | isStatic: true,
60 | collisionFilter: { group: 'ground' }
61 | });
62 | const indicator = Bodies.circle(BALL_SIZE, BALL_SIZE, BALL_SIZE, {
63 | isStatic: true,
64 | collisionFilter: { group: 'ball' }
65 | });
66 |
67 | const pegs = [];
68 | for (let i = 1; i < CANVAS_HEIGHT / PEG_Y - 1; i++) {
69 | for (let j = 1; j < CANVAS_WIDTH / PEG_X + 1; j++) {
70 | let x = j * PEG_X - BALL_SIZE * 1.5;
71 | const y = i * PEG_Y;
72 |
73 | if (i % 2 == 0) {
74 | x -= PEG_X / 2;
75 | }
76 |
77 | const peg = Bodies.polygon(x, y, 7, BALL_SIZE / 4, {
78 | isStatic: true
79 | });
80 | pegs.push(peg);
81 | }
82 | }
83 |
84 | const leftWall = Bodies.rectangle(
85 | -1,
86 | CANVAS_HEIGHT / 2 + BALL_SIZE * 2,
87 | 1,
88 | CANVAS_HEIGHT,
89 | {
90 | isStatic: true
91 | }
92 | );
93 | const rightWall = Bodies.rectangle(
94 | CANVAS_WIDTH + 1,
95 | CANVAS_HEIGHT / 2 + BALL_SIZE * 2,
96 | 1,
97 | CANVAS_HEIGHT,
98 | {
99 | isStatic: true
100 | }
101 | );
102 |
103 | const buckets = [];
104 | const bucketIdRange = [];
105 | const bucketWidth = CANVAS_WIDTH / 10;
106 | const bucketHeight = BALL_SIZE * 3;
107 | for (let i = 0; i < 10; i++) {
108 | const bucket = Bodies.rectangle(
109 | bucketWidth * i + bucketWidth * 0.5,
110 | CANVAS_HEIGHT - bucketHeight,
111 | bucketWidth,
112 | bucketHeight,
113 | {
114 | id: i,
115 | isStatic: true,
116 | isSensor: true,
117 | render: {
118 | fillStyle: BUCKET_COLOR
119 | },
120 | collisionFilter: {
121 | group: 'bucket'
122 | }
123 | }
124 | );
125 | const divider = Bodies.rectangle(
126 | bucketWidth * i,
127 | CANVAS_HEIGHT - bucketHeight,
128 | 2,
129 | bucketHeight,
130 | {
131 | isStatic: true,
132 | collisionFilter: { group: 'bucket' }
133 | }
134 | );
135 | bucketIdRange.push(i);
136 | buckets.push(bucket);
137 | buckets.push(divider);
138 | }
139 |
140 | World.add(engine.world, [
141 | ground2,
142 | ...pegs,
143 | ...buckets,
144 | ground,
145 | indicator,
146 | leftWall,
147 | rightWall
148 | ]);
149 | Engine.run(engine);
150 | Render.run(render);
151 | let ballCount = 0;
152 | function dropBalls(position, quantity) {
153 | const balls = [];
154 |
155 | const startRes = Math.min(
156 | Math.abs(parseFloat(document.querySelector('#coef-start').value)),
157 | 1
158 | );
159 | const endRes = Math.min(
160 | Math.abs(parseFloat(document.querySelector('#coef-end').value)),
161 | 1
162 | );
163 |
164 | const startSize = parseFloat(document.querySelector('#size-start').value);
165 | const endSize = parseFloat(document.querySelector('#size-end').value);
166 | for (let i = 0; i < quantity; i++) {
167 | ballCount++;
168 | if (ballCount > 785) {
169 | ballCount--;
170 | break;
171 | }
172 | const restitution = Math.random() * (endRes - startRes) + startRes;
173 | const size = Math.random() * (endSize - startSize) + startSize;
174 | const dropX = position;
175 |
176 | const ball = Bodies.circle(dropX, size, size, {
177 | restitution,
178 | collisionFilter: { group: 'ball' },
179 | friction: 0.9
180 | });
181 | ball.size = size;
182 | ball.restitution = restitution;
183 | ball.dropX = position;
184 | balls.push(ball);
185 | }
186 |
187 | World.add(engine.world, balls);
188 | }
189 |
190 | let x = 0;
191 | const canvas = document.querySelector('canvas');
192 | const events = {
193 | mousemove(event) {
194 | x = event.offsetX;
195 |
196 | Body.setPosition(indicator, { x: x, y: BALL_SIZE });
197 | document.querySelector('.x-position').innerHTML = `Drop Position: ${x}`;
198 | },
199 | click() {
200 | const quantity = parseInt(document.querySelector('#drop-quantity').value);
201 |
202 | dropBalls(x, quantity);
203 | }
204 | };
205 | for (let event in events) {
206 | canvas.addEventListener(event, events[event]);
207 | }
208 |
209 | let _score = {};
210 | Events.on(engine, 'collisionActive', ({ pairs }) => {
211 | const filteredPairs = pairs.forEach(pair => {
212 | if (
213 | (bucketIdRange.includes(pair.bodyA.id) ||
214 | bucketIdRange.includes(pair.bodyB.id)) &&
215 | Math.abs(pair.bodyB.velocity.y) < 0.1 &&
216 | pair.bodyB.position.y > CANVAS_HEIGHT - 200
217 | ) {
218 | World.remove(engine.world, pair.bodyB);
219 | ballCount--;
220 | const bucketId = pair.bodyA.id;
221 |
222 | _score[bucketId] = (_score[bucketId] || 0) + 1;
223 |
224 | const count = parseInt(
225 | document.querySelector(`#bucket-${bucketId}`).innerHTML
226 | );
227 | document.querySelector(`#bucket-${bucketId}`).innerHTML = count + 1;
228 |
229 | onScoreUpdate(
230 | Math.round(pair.bodyB.dropX),
231 | pair.bodyB.restitution,
232 | pair.bodyB.size,
233 | bucketId + 1
234 | );
235 | updateBucketColors(_score);
236 | }
237 | });
238 | });
239 |
240 | // document.querySelector('button#export').addEventListener('click', () => {
241 | // const rows = outputs.join('\n');
242 | // const a = document.createElement('a');
243 | // mimeType = 'application/octet-stream';
244 | // a.href = URL.createObjectURL(
245 | // new Blob([rows], {
246 | // type: mimeType
247 | // })
248 | // );
249 | // a.setAttribute('download', 'data.csv');
250 | // document.body.appendChild(a);
251 | // a.click();
252 | // document.body.removeChild(a);
253 | // });
254 |
255 | document.querySelector('button#scan').addEventListener('click', () => {
256 | const quantity = parseInt(document.querySelector('#scan-quantity').value);
257 | const spacing = parseInt(document.querySelector('#scan-spacing').value);
258 |
259 | for (let i = 1; i < CANVAS_WIDTH / spacing; i++) {
260 | dropBalls(i * spacing, quantity);
261 | }
262 | });
263 |
264 | document.querySelector('button#spot').addEventListener('click', () => {
265 | const quantity = parseInt(document.querySelector('#spot-quantity').value);
266 | const spot = parseInt(document.querySelector('#spot-location').value);
267 |
268 | dropBalls(spot, quantity);
269 | });
270 |
271 | document.querySelector('button#analyze').addEventListener('click', runAnalysis);
272 |
273 | document
274 | .querySelectorAll('form')
275 | .forEach(f => f.addEventListener('submit', e => e.preventDefault()));
276 |
277 | function updateBucketColors(_score) {
278 | const counts = _.range(0, 10).map(i => _score[i] || 0);
279 |
280 | const min = _.min(counts);
281 | const max = _.max(counts);
282 |
283 | const ranks = counts.map((count, i) => ({ i, c: count }));
284 |
285 | let counter = 0;
286 | const d = _.chain(ranks)
287 | .sortBy('c')
288 | .forEach(({ i, c }, j, collection) => {
289 | if (_.get(collection, `[${j - 1}].c`) !== c) {
290 | counter++;
291 | }
292 | buckets[i * 2].render.fillStyle = COLORS[counter - 1];
293 | })
294 | .value();
295 | }
296 |
297 | document.querySelector('#reset').addEventListener('click', function() {
298 | try {
299 | while (outputs.length) {
300 | outputs.pop();
301 | }
302 | } catch (e) {}
303 |
304 | _.range(0, 10).forEach(i => {
305 | buckets[i * 2].render.fillStyle = BUCKET_COLOR;
306 | document.querySelector(`#bucket-${i}`).innerHTML = 0;
307 | });
308 |
309 | _score = {};
310 | });
311 |
--------------------------------------------------------------------------------
/knn-tf/package-lock.json:
--------------------------------------------------------------------------------
1 | {
2 | "name": "knn-tf",
3 | "version": "1.0.0",
4 | "lockfileVersion": 1,
5 | "requires": true,
6 | "dependencies": {
7 | "@protobufjs/aspromise": {
8 | "version": "1.1.2",
9 | "resolved": "https://registry.npmjs.org/@protobufjs/aspromise/-/aspromise-1.1.2.tgz",
10 | "integrity": "sha1-m4sMxmPWaafY9vXQiToU00jzD78="
11 | },
12 | "@protobufjs/base64": {
13 | "version": "1.1.2",
14 | "resolved": "https://registry.npmjs.org/@protobufjs/base64/-/base64-1.1.2.tgz",
15 | "integrity": "sha512-AZkcAA5vnN/v4PDqKyMR5lx7hZttPDgClv83E//FMNhR2TMcLUhfRUBHCmSl0oi9zMgDDqRUJkSxO3wm85+XLg=="
16 | },
17 | "@protobufjs/codegen": {
18 | "version": "2.0.4",
19 | "resolved": "https://registry.npmjs.org/@protobufjs/codegen/-/codegen-2.0.4.tgz",
20 | "integrity": "sha512-YyFaikqM5sH0ziFZCN3xDC7zeGaB/d0IUb9CATugHWbd1FRFwWwt4ld4OYMPWu5a3Xe01mGAULCdqhMlPl29Jg=="
21 | },
22 | "@protobufjs/eventemitter": {
23 | "version": "1.1.0",
24 | "resolved": "https://registry.npmjs.org/@protobufjs/eventemitter/-/eventemitter-1.1.0.tgz",
25 | "integrity": "sha1-NVy8mLr61ZePntCV85diHx0Ga3A="
26 | },
27 | "@protobufjs/fetch": {
28 | "version": "1.1.0",
29 | "resolved": "https://registry.npmjs.org/@protobufjs/fetch/-/fetch-1.1.0.tgz",
30 | "integrity": "sha1-upn7WYYUr2VwDBYZ/wbUVLDYTEU=",
31 | "requires": {
32 | "@protobufjs/aspromise": "1.1.2",
33 | "@protobufjs/inquire": "1.1.0"
34 | }
35 | },
36 | "@protobufjs/float": {
37 | "version": "1.0.2",
38 | "resolved": "https://registry.npmjs.org/@protobufjs/float/-/float-1.0.2.tgz",
39 | "integrity": "sha1-Xp4avctz/Ap8uLKR33jIy9l7h9E="
40 | },
41 | "@protobufjs/inquire": {
42 | "version": "1.1.0",
43 | "resolved": "https://registry.npmjs.org/@protobufjs/inquire/-/inquire-1.1.0.tgz",
44 | "integrity": "sha1-/yAOPnzyQp4tyvwRQIKOjMY48Ik="
45 | },
46 | "@protobufjs/path": {
47 | "version": "1.1.2",
48 | "resolved": "https://registry.npmjs.org/@protobufjs/path/-/path-1.1.2.tgz",
49 | "integrity": "sha1-bMKyDFya1q0NzP0hynZz2Nf79o0="
50 | },
51 | "@protobufjs/pool": {
52 | "version": "1.1.0",
53 | "resolved": "https://registry.npmjs.org/@protobufjs/pool/-/pool-1.1.0.tgz",
54 | "integrity": "sha1-Cf0V8tbTq/qbZbw2ZQbWrXhG/1Q="
55 | },
56 | "@protobufjs/utf8": {
57 | "version": "1.1.0",
58 | "resolved": "https://registry.npmjs.org/@protobufjs/utf8/-/utf8-1.1.0.tgz",
59 | "integrity": "sha1-p3c2C1s5oaLlEG+OhY8v0tBgxXA="
60 | },
61 | "@tensorflow/tfjs": {
62 | "version": "0.12.7",
63 | "resolved": "https://registry.npmjs.org/@tensorflow/tfjs/-/tfjs-0.12.7.tgz",
64 | "integrity": "sha512-sGqnS7+Zj4SK6ap+fdFDGgddQf7l9RJBkWJc36frwP2F4LmFQQ5ED4+Wq7cBM1LzuyNq0p3pREWBbCfab0pnyw==",
65 | "requires": {
66 | "@tensorflow/tfjs-converter": "0.5.9",
67 | "@tensorflow/tfjs-core": "0.12.17",
68 | "@tensorflow/tfjs-layers": "0.7.5"
69 | }
70 | },
71 | "@tensorflow/tfjs-converter": {
72 | "version": "0.5.9",
73 | "resolved": "https://registry.npmjs.org/@tensorflow/tfjs-converter/-/tfjs-converter-0.5.9.tgz",
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410 | "wrappy": {
411 | "version": "1.0.2",
412 | "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
413 | "integrity": "sha1-tSQ9jz7BqjXxNkYFvA0QNuMKtp8="
414 | },
415 | "yallist": {
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419 | }
420 | }
421 | }
422 |
--------------------------------------------------------------------------------
/regressions/cars.csv:
--------------------------------------------------------------------------------
1 | passedemissions,mpg,cylinders,displacement,horsepower,weight,acceleration,modelyear,carname
2 | FALSE,18,8,307,130,1.752,12,70,chevrolet chevelle malibu
3 | FALSE,15,8,350,165,1.8465,11.5,70,buick skylark 320
4 | FALSE,18,8,318,150,1.718,11,70,plymouth satellite
5 | FALSE,16,8,304,150,1.7165,12,70,amc rebel sst
6 | FALSE,17,8,302,140,1.7245,10.5,70,ford torino
7 | FALSE,15,8,429,198,2.1705,10,70,ford galaxie 500
8 | FALSE,14,8,454,220,2.177,9,70,chevrolet impala
9 | FALSE,14,8,440,215,2.156,8.5,70,plymouth fury iii
10 | FALSE,14,8,455,225,2.2125,10,70,pontiac catalina
11 | FALSE,15,8,390,190,1.925,8.5,70,amc ambassador dpl
12 | FALSE,15,8,383,170,1.7815,10,70,dodge challenger se
13 | FALSE,14,8,340,160,1.8045,8,70,plymouth 'cuda 340
14 | FALSE,15,8,400,150,1.8805,9.5,70,chevrolet monte carlo
15 | FALSE,14,8,455,225,1.543,10,70,buick estate wagon (sw)
16 | TRUE,24,4,113,95,1.186,15,70,toyota corona mark ii
17 | TRUE,22,6,198,95,1.4165,15.5,70,plymouth duster
18 | FALSE,18,6,199,97,1.387,15.5,70,amc hornet
19 | TRUE,21,6,200,85,1.2935,16,70,ford maverick
20 | TRUE,27,4,97,88,1.065,14.5,70,datsun pl510
21 | TRUE,26,4,97,46,0.9175,20.5,70,volkswagen 1131 deluxe sedan
22 | TRUE,25,4,110,87,1.336,17.5,70,peugeot 504
23 | TRUE,24,4,107,90,1.215,14.5,70,audi 100 ls
24 | TRUE,25,4,104,95,1.1875,17.5,70,saab 99e
25 | TRUE,26,4,121,113,1.117,12.5,70,bmw 2002
26 | TRUE,21,6,199,90,1.324,15,70,amc gremlin
27 | FALSE,10,8,360,215,2.3075,14,70,ford f250
28 | FALSE,10,8,307,200,2.188,15,70,chevy c20
29 | FALSE,11,8,318,210,2.191,13.5,70,dodge d200
30 | FALSE,9,8,304,193,2.366,18.5,70,hi 1200d
31 | TRUE,27,4,97,88,1.065,14.5,71,datsun pl510
32 | TRUE,28,4,140,90,1.132,15.5,71,chevrolet vega 2300
33 | TRUE,25,4,113,95,1.114,14,71,toyota corona
34 | TRUE,19,6,232,100,1.317,13,71,amc gremlin
35 | FALSE,16,6,225,105,1.7195,15.5,71,plymouth satellite custom
36 | FALSE,17,6,250,100,1.6645,15.5,71,chevrolet chevelle malibu
37 | TRUE,19,6,250,88,1.651,15.5,71,ford torino 500
38 | FALSE,18,6,232,100,1.644,15.5,71,amc matador
39 | FALSE,14,8,350,165,2.1045,12,71,chevrolet impala
40 | FALSE,14,8,400,175,2.232,11.5,71,pontiac catalina brougham
41 | FALSE,14,8,351,153,2.077,13.5,71,ford galaxie 500
42 | FALSE,14,8,318,150,2.048,13,71,plymouth fury iii
43 | FALSE,12,8,383,180,2.4775,11.5,71,dodge monaco (sw)
44 | FALSE,13,8,400,170,2.373,12,71,ford country squire (sw)
45 | FALSE,13,8,400,175,2.57,12,71,pontiac safari (sw)
46 | FALSE,18,6,258,110,1.481,13.5,71,amc hornet sportabout (sw)
47 | TRUE,22,4,140,72,1.204,19,71,chevrolet vega (sw)
48 | TRUE,19,6,250,100,1.641,15,71,pontiac firebird
49 | FALSE,18,6,250,88,1.5695,14.5,71,ford mustang
50 | TRUE,23,4,122,86,1.11,14,71,mercury capri 2000
51 | TRUE,28,4,116,90,1.0615,14,71,opel 1900
52 | TRUE,30,4,79,70,1.037,19.5,71,peugeot 304
53 | TRUE,30,4,88,76,1.0325,14.5,71,fiat 124b
54 | TRUE,31,4,71,65,0.8865,19,71,toyota corolla 1200
55 | TRUE,35,4,72,69,0.8065,18,71,datsun 1200
56 | TRUE,27,4,97,60,0.917,19,71,volkswagen model 111
57 | TRUE,26,4,91,70,0.9775,20.5,71,plymouth cricket
58 | TRUE,24,4,113,95,1.139,15.5,72,toyota corona hardtop
59 | TRUE,25,4,97.5,80,1.063,17,72,dodge colt hardtop
60 | TRUE,23,4,97,54,1.127,23.5,72,volkswagen type 3
61 | TRUE,20,4,140,90,1.204,19.5,72,chevrolet vega
62 | TRUE,21,4,122,86,1.113,16.5,72,ford pinto runabout
63 | FALSE,13,8,350,165,2.137,12,72,chevrolet impala
64 | FALSE,14,8,400,175,2.1925,12,72,pontiac catalina
65 | FALSE,15,8,318,150,2.0675,13.5,72,plymouth fury iii
66 | FALSE,14,8,351,153,2.0645,13,72,ford galaxie 500
67 | FALSE,17,8,304,150,1.836,11.5,72,amc ambassador sst
68 | FALSE,11,8,429,208,2.3165,11,72,mercury marquis
69 | FALSE,13,8,350,155,2.251,13.5,72,buick lesabre custom
70 | FALSE,12,8,350,160,2.228,13.5,72,oldsmobile delta 88 royale
71 | FALSE,13,8,400,190,2.211,12.5,72,chrysler newport royal
72 | TRUE,19,3,70,97,1.165,13.5,72,mazda rx2 coupe
73 | FALSE,15,8,304,150,1.946,12.5,72,amc matador (sw)
74 | FALSE,13,8,307,130,2.049,14,72,chevrolet chevelle concours (sw)
75 | FALSE,13,8,302,140,2.147,16,72,ford gran torino (sw)
76 | FALSE,14,8,318,150,2.0385,14,72,plymouth satellite custom (sw)
77 | FALSE,18,4,121,112,1.4665,14.5,72,volvo 145e (sw)
78 | TRUE,22,4,121,76,1.2555,18,72,volkswagen 411 (sw)
79 | TRUE,21,4,120,87,1.4895,19.5,72,peugeot 504 (sw)
80 | TRUE,26,4,96,69,1.0945,18,72,renault 12 (sw)
81 | TRUE,22,4,122,86,1.1975,16,72,ford pinto (sw)
82 | TRUE,28,4,97,92,1.144,17,72,datsun 510 (sw)
83 | TRUE,23,4,120,97,1.253,14.5,72,toyouta corona mark ii (sw)
84 | TRUE,28,4,98,80,1.082,15,72,dodge colt (sw)
85 | TRUE,27,4,97,88,1.05,16.5,72,toyota corolla 1600 (sw)
86 | FALSE,13,8,350,175,2.05,13,73,buick century 350
87 | FALSE,14,8,304,150,1.836,11.5,73,amc matador
88 | FALSE,13,8,350,145,1.994,13,73,chevrolet malibu
89 | FALSE,14,8,302,137,2.021,14.5,73,ford gran torino
90 | FALSE,15,8,318,150,1.8885,12.5,73,dodge coronet custom
91 | FALSE,12,8,429,198,2.476,11.5,73,mercury marquis brougham
92 | FALSE,13,8,400,150,2.232,12,73,chevrolet caprice classic
93 | FALSE,13,8,351,158,2.1815,13,73,ford ltd
94 | FALSE,14,8,318,150,2.1185,14.5,73,plymouth fury gran sedan
95 | FALSE,13,8,440,215,2.3675,11,73,chrysler new yorker brougham
96 | FALSE,12,8,455,225,2.4755,11,73,buick electra 225 custom
97 | FALSE,13,8,360,175,1.9105,11,73,amc ambassador brougham
98 | FALSE,18,6,225,105,1.5605,16.5,73,plymouth valiant
99 | FALSE,16,6,250,100,1.639,18,73,chevrolet nova custom
100 | FALSE,18,6,232,100,1.4725,16,73,amc hornet
101 | FALSE,18,6,250,88,1.5105,16.5,73,ford maverick
102 | TRUE,23,6,198,95,1.452,16,73,plymouth duster
103 | TRUE,26,4,97,46,0.975,21,73,volkswagen super beetle
104 | FALSE,11,8,400,150,2.4985,14,73,chevrolet impala
105 | FALSE,12,8,400,167,2.453,12.5,73,ford country
106 | FALSE,13,8,360,170,2.327,13,73,plymouth custom suburb
107 | FALSE,12,8,350,180,2.2495,12.5,73,oldsmobile vista cruiser
108 | FALSE,18,6,232,100,1.3945,15,73,amc gremlin
109 | TRUE,20,4,97,88,1.1395,19,73,toyota carina
110 | TRUE,21,4,140,72,1.2005,19.5,73,chevrolet vega
111 | TRUE,22,4,108,94,1.1895,16.5,73,datsun 610
112 | FALSE,18,3,70,90,1.062,13.5,73,maxda rx3
113 | TRUE,19,4,122,85,1.155,18.5,73,ford pinto
114 | TRUE,21,6,155,107,1.236,14,73,mercury capri v6
115 | TRUE,26,4,98,90,1.1325,15.5,73,fiat 124 sport coupe
116 | FALSE,15,8,350,145,2.041,13,73,chevrolet monte carlo s
117 | FALSE,16,8,400,230,2.139,9.5,73,pontiac grand prix
118 | TRUE,29,4,68,49,0.9335,19.5,73,fiat 128
119 | TRUE,24,4,116,75,1.079,15.5,73,opel manta
120 | TRUE,20,4,114,91,1.291,14,73,audi 100ls
121 | TRUE,19,4,121,112,1.434,15.5,73,volvo 144ea
122 | FALSE,15,8,318,150,1.6995,11,73,dodge dart custom
123 | TRUE,24,4,121,110,1.33,14,73,saab 99le
124 | TRUE,20,6,156,122,1.4035,13.5,73,toyota mark ii
125 | FALSE,11,8,350,180,1.832,11,73,oldsmobile omega
126 | TRUE,20,6,198,95,1.551,16.5,74,plymouth duster
127 | TRUE,19,6,232,100,1.4505,16,74,amc hornet
128 | FALSE,15,6,250,100,1.668,17,74,chevrolet nova
129 | TRUE,31,4,79,67,0.975,19,74,datsun b210
130 | TRUE,26,4,122,80,1.2255,16.5,74,ford pinto
131 | TRUE,32,4,71,65,0.918,21,74,toyota corolla 1200
132 | TRUE,25,4,140,75,1.271,17,74,chevrolet vega
133 | FALSE,16,6,250,100,1.8905,17,74,chevrolet chevelle malibu classic
134 | FALSE,16,6,258,110,1.816,18,74,amc matador
135 | FALSE,18,6,225,105,1.8065,16.5,74,plymouth satellite sebring
136 | FALSE,16,8,302,140,2.0705,14,74,ford gran torino
137 | FALSE,13,8,350,150,2.3495,14.5,74,buick century luxus (sw)
138 | FALSE,14,8,318,150,2.2285,13.5,74,dodge coronet custom (sw)
139 | FALSE,14,8,302,140,2.319,16,74,ford gran torino (sw)
140 | FALSE,14,8,304,150,2.1285,15.5,74,amc matador (sw)
141 | TRUE,29,4,98,83,1.1095,16.5,74,audi fox
142 | TRUE,26,4,79,67,0.9815,15.5,74,volkswagen dasher
143 | TRUE,26,4,97,78,1.15,14.5,74,opel manta
144 | TRUE,31,4,76,52,0.8245,16.5,74,toyota corona
145 | TRUE,32,4,83,61,1.0015,19,74,datsun 710
146 | TRUE,28,4,90,75,1.0625,14.5,74,dodge colt
147 | TRUE,24,4,90,75,1.054,15.5,74,fiat 128
148 | TRUE,26,4,116,75,1.123,14,74,fiat 124 tc
149 | TRUE,24,4,120,97,1.2445,15,74,honda civic
150 | TRUE,26,4,108,93,1.1955,15.5,74,subaru
151 | TRUE,31,4,79,67,1,16,74,fiat x1.9
152 | TRUE,19,6,225,95,1.632,16,75,plymouth valiant custom
153 | FALSE,18,6,250,105,1.7295,16,75,chevrolet nova
154 | FALSE,15,6,250,72,1.716,21,75,mercury monarch
155 | FALSE,15,6,250,72,1.579,19.5,75,ford maverick
156 | FALSE,16,8,400,170,2.334,11.5,75,pontiac catalina
157 | FALSE,15,8,350,145,2.22,14,75,chevrolet bel air
158 | FALSE,16,8,318,150,2.249,14.5,75,plymouth grand fury
159 | FALSE,14,8,351,148,2.3285,13.5,75,ford ltd
160 | FALSE,17,6,231,110,1.9535,21,75,buick century
161 | FALSE,16,6,250,105,1.9485,18.5,75,chevroelt chevelle malibu
162 | FALSE,15,6,258,110,1.865,19,75,amc matador
163 | FALSE,18,6,225,95,1.8925,19,75,plymouth fury
164 | TRUE,21,6,231,110,1.5195,15,75,buick skyhawk
165 | TRUE,20,8,262,110,1.6105,13.5,75,chevrolet monza 2+2
166 | FALSE,13,8,302,129,1.5845,12,75,ford mustang ii
167 | TRUE,29,4,97,75,1.0855,16,75,toyota corolla
168 | TRUE,23,4,140,83,1.3195,17,75,ford pinto
169 | TRUE,20,6,232,100,1.457,16,75,amc gremlin
170 | TRUE,23,4,140,78,1.296,18.5,75,pontiac astro
171 | TRUE,24,4,134,96,1.351,13.5,75,toyota corona
172 | TRUE,25,4,90,71,1.1115,16.5,75,volkswagen dasher
173 | TRUE,24,4,119,97,1.2725,17,75,datsun 710
174 | FALSE,18,6,171,97,1.492,14.5,75,ford pinto
175 | TRUE,29,4,90,70,0.9685,14,75,volkswagen rabbit
176 | TRUE,19,6,232,90,1.6055,17,75,amc pacer
177 | TRUE,23,4,115,95,1.347,15,75,audi 100ls
178 | TRUE,23,4,120,88,1.4785,17,75,peugeot 504
179 | TRUE,22,4,121,98,1.4725,14.5,75,volvo 244dl
180 | TRUE,25,4,121,115,1.3355,13.5,75,saab 99le
181 | TRUE,33,4,91,53,0.8975,17.5,75,honda civic cvcc
182 | TRUE,28,4,107,86,1.232,15.5,76,fiat 131
183 | TRUE,25,4,116,81,1.11,16.9,76,opel 1900
184 | TRUE,25,4,140,92,1.286,14.9,76,capri ii
185 | TRUE,26,4,98,79,1.1275,17.7,76,dodge colt
186 | TRUE,27,4,101,83,1.101,15.3,76,renault 12tl
187 | FALSE,17.5,8,305,140,2.1075,13,76,chevrolet chevelle malibu classic
188 | FALSE,16,8,318,150,2.095,13,76,dodge coronet brougham
189 | FALSE,15.5,8,304,120,1.981,13.9,76,amc matador
190 | FALSE,14.5,8,351,152,2.1075,12.8,76,ford gran torino
191 | TRUE,22,6,225,100,1.6165,15.4,76,plymouth valiant
192 | TRUE,22,6,250,105,1.6765,14.5,76,chevrolet nova
193 | TRUE,24,6,200,81,1.506,17.6,76,ford maverick
194 | TRUE,22.5,6,232,90,1.5425,17.6,76,amc hornet
195 | TRUE,29,4,85,52,1.0175,22.2,76,chevrolet chevette
196 | TRUE,24.5,4,98,60,1.082,22.1,76,chevrolet woody
197 | TRUE,29,4,90,70,0.9685,14.2,76,vw rabbit
198 | TRUE,33,4,91,53,0.8975,17.4,76,honda civic
199 | TRUE,20,6,225,100,1.8255,17.7,76,dodge aspen se
200 | FALSE,18,6,250,78,1.787,21,76,ford granada ghia
201 | TRUE,18.5,6,250,110,1.8225,16.2,76,pontiac ventura sj
202 | FALSE,17.5,6,258,95,1.5965,17.8,76,amc pacer d/l
203 | TRUE,29.5,4,97,71,0.9125,12.2,76,volkswagen rabbit
204 | TRUE,32,4,85,70,0.995,17,76,datsun b-210
205 | TRUE,28,4,97,75,1.0775,16.4,76,toyota corolla
206 | TRUE,26.5,4,140,72,1.2825,13.6,76,ford pinto
207 | TRUE,20,4,130,102,1.575,15.7,76,volvo 245
208 | FALSE,13,8,318,150,1.97,13.2,76,plymouth volare premier v8
209 | TRUE,19,4,120,88,1.635,21.9,76,peugeot 504
210 | TRUE,19,6,156,108,1.465,15.5,76,toyota mark ii
211 | FALSE,16.5,6,168,120,1.91,16.7,76,mercedes-benz 280s
212 | FALSE,16.5,8,350,180,2.19,12.1,76,cadillac seville
213 | FALSE,13,8,350,145,2.0275,12,76,chevy c10
214 | FALSE,13,8,302,130,1.935,15,76,ford f108
215 | FALSE,13,8,318,150,1.8775,14,76,dodge d100
216 | TRUE,31.5,4,98,68,1.0225,18.5,77,honda accord cvcc
217 | TRUE,30,4,111,80,1.0775,14.8,77,buick opel isuzu deluxe
218 | TRUE,36,4,79,58,0.9125,18.6,77,renault 5 gtl
219 | TRUE,25.5,4,122,96,1.15,15.5,77,plymouth arrow gs
220 | TRUE,33.5,4,85,70,0.9725,16.8,77,datsun f-10 hatchback
221 | FALSE,17.5,8,305,145,1.94,12.5,77,chevrolet caprice classic
222 | FALSE,17,8,260,110,2.03,19,77,oldsmobile cutlass supreme
223 | FALSE,15.5,8,318,145,2.07,13.7,77,dodge monaco brougham
224 | FALSE,15,8,302,130,2.1475,14.9,77,mercury cougar brougham
225 | FALSE,17.5,6,250,110,1.76,16.4,77,chevrolet concours
226 | TRUE,20.5,6,231,105,1.7125,16.9,77,buick skylark
227 | TRUE,19,6,225,100,1.815,17.7,77,plymouth volare custom
228 | TRUE,18.5,6,250,98,1.7625,19,77,ford granada
229 | FALSE,16,8,400,180,2.11,11.1,77,pontiac grand prix lj
230 | FALSE,15.5,8,350,170,2.0825,11.4,77,chevrolet monte carlo landau
231 | FALSE,15.5,8,400,190,2.1625,12.2,77,chrysler cordoba
232 | FALSE,16,8,351,149,2.1675,14.5,77,ford thunderbird
233 | TRUE,29,4,97,78,0.97,14.5,77,volkswagen rabbit custom
234 | TRUE,24.5,4,151,88,1.37,16,77,pontiac sunbird coupe
235 | TRUE,26,4,97,75,1.1325,18.2,77,toyota corolla liftback
236 | TRUE,25.5,4,140,89,1.3775,15.8,77,ford mustang ii 2+2
237 | TRUE,30.5,4,98,63,1.0255,17,77,chevrolet chevette
238 | TRUE,33.5,4,98,83,1.0375,15.9,77,dodge colt m/m
239 | TRUE,30,4,97,67,0.9925,16.4,77,subaru dl
240 | TRUE,30.5,4,97,78,1.095,14.1,77,volkswagen dasher
241 | TRUE,22,6,146,97,1.4075,14.5,77,datsun 810
242 | TRUE,21.5,4,121,110,1.3,12.8,77,bmw 320i
243 | TRUE,21.5,3,80,110,1.36,13.5,77,mazda rx-4
244 | TRUE,43.1,4,90,48,0.9925,21.5,78,volkswagen rabbit custom diesel
245 | TRUE,36.1,4,98,66,0.9,14.4,78,ford fiesta
246 | TRUE,32.8,4,78,52,0.9925,19.4,78,mazda glc deluxe
247 | TRUE,39.4,4,85,70,1.035,18.6,78,datsun b210 gx
248 | TRUE,36.1,4,91,60,0.9,16.4,78,honda civic cvcc
249 | TRUE,19.9,8,260,110,1.6825,15.5,78,oldsmobile cutlass salon brougham
250 | TRUE,19.4,8,318,140,1.8675,13.2,78,dodge diplomat
251 | TRUE,20.2,8,302,139,1.785,12.8,78,mercury monarch ghia
252 | TRUE,19.2,6,231,105,1.7675,19.2,78,pontiac phoenix lj
253 | TRUE,20.5,6,200,95,1.5775,18.2,78,chevrolet malibu
254 | TRUE,20.2,6,200,85,1.4825,15.8,78,ford fairmont (auto)
255 | TRUE,25.1,4,140,88,1.36,15.4,78,ford fairmont (man)
256 | TRUE,20.5,6,225,100,1.715,17.2,78,plymouth volare
257 | TRUE,19.4,6,232,90,1.605,17.2,78,amc concord
258 | TRUE,20.6,6,231,105,1.69,15.8,78,buick century special
259 | TRUE,20.8,6,200,85,1.535,16.7,78,mercury zephyr
260 | TRUE,18.6,6,225,110,1.81,18.7,78,dodge aspen
261 | TRUE,18.1,6,258,120,1.705,15.1,78,amc concord d/l
262 | TRUE,19.2,8,305,145,1.7125,13.2,78,chevrolet monte carlo landau
263 | FALSE,17.7,6,231,165,1.7225,13.4,78,buick regal sport coupe (turbo)
264 | TRUE,18.1,8,302,139,1.6025,11.2,78,ford futura
265 | FALSE,17.5,8,318,140,2.04,13.7,78,dodge magnum xe
266 | TRUE,30,4,98,68,1.0775,16.5,78,chevrolet chevette
267 | TRUE,27.5,4,134,95,1.28,14.2,78,toyota corona
268 | TRUE,27.2,4,119,97,1.15,14.7,78,datsun 510
269 | TRUE,30.9,4,105,75,1.115,14.5,78,dodge omni
270 | TRUE,21.1,4,134,95,1.2575,14.8,78,toyota celica gt liftback
271 | TRUE,23.2,4,156,105,1.3725,16.7,78,plymouth sapporo
272 | TRUE,23.8,4,151,85,1.4275,17.6,78,oldsmobile starfire sx
273 | TRUE,23.9,4,119,97,1.2025,14.9,78,datsun 200-sx
274 | TRUE,20.3,5,131,103,1.415,15.9,78,audi 5000
275 | FALSE,17,6,163,125,1.57,13.6,78,volvo 264gl
276 | TRUE,21.6,4,121,115,1.3975,15.7,78,saab 99gle
277 | FALSE,16.2,6,163,133,1.705,15.8,78,peugeot 604sl
278 | TRUE,31.5,4,89,71,0.995,14.9,78,volkswagen scirocco
279 | TRUE,29.5,4,98,68,1.0675,16.6,78,honda accord lx
280 | TRUE,21.5,6,231,115,1.6225,15.4,79,pontiac lemans v6
281 | TRUE,19.8,6,200,85,1.495,18.2,79,mercury zephyr 6
282 | TRUE,22.3,4,140,88,1.445,17.3,79,ford fairmont 4
283 | TRUE,20.2,6,232,90,1.6325,18.2,79,amc concord dl 6
284 | TRUE,20.6,6,225,110,1.68,16.6,79,dodge aspen 6
285 | FALSE,17,8,305,130,1.92,15.4,79,chevrolet caprice classic
286 | FALSE,17.6,8,302,129,1.8625,13.4,79,ford ltd landau
287 | FALSE,16.5,8,351,138,1.9775,13.2,79,mercury grand marquis
288 | TRUE,18.2,8,318,135,1.915,15.2,79,dodge st. regis
289 | FALSE,16.9,8,350,155,2.18,14.9,79,buick estate wagon (sw)
290 | FALSE,15.5,8,351,142,2.027,14.3,79,ford country squire (sw)
291 | TRUE,19.2,8,267,125,1.8025,15,79,chevrolet malibu classic (sw)
292 | TRUE,18.5,8,360,150,1.97,13,79,chrysler lebaron town @ country (sw)
293 | TRUE,31.9,4,89,71,0.9625,14,79,vw rabbit custom
294 | TRUE,34.1,4,86,65,0.9875,15.2,79,maxda glc deluxe
295 | TRUE,35.7,4,98,80,0.9575,14.4,79,dodge colt hatchback custom
296 | TRUE,27.4,4,121,80,1.335,15,79,amc spirit dl
297 | TRUE,25.4,5,183,77,1.765,20.1,79,mercedes benz 300d
298 | TRUE,23,8,350,125,1.95,17.4,79,cadillac eldorado
299 | TRUE,27.2,4,141,71,1.595,24.8,79,peugeot 504
300 | TRUE,23.9,8,260,90,1.71,22.2,79,oldsmobile cutlass salon brougham
301 | TRUE,34.2,4,105,70,1.1,13.2,79,plymouth horizon
302 | TRUE,34.5,4,105,70,1.075,14.9,79,plymouth horizon tc3
303 | TRUE,31.8,4,85,65,1.01,19.2,79,datsun 210
304 | TRUE,37.3,4,91,69,1.065,14.7,79,fiat strada custom
305 | TRUE,28.4,4,151,90,1.335,16,79,buick skylark limited
306 | TRUE,28.8,6,173,115,1.2975,11.3,79,chevrolet citation
307 | TRUE,26.8,6,173,115,1.35,12.9,79,oldsmobile omega brougham
308 | TRUE,33.5,4,151,90,1.278,13.2,79,pontiac phoenix
309 | TRUE,41.5,4,98,76,1.072,14.7,80,vw rabbit
310 | TRUE,38.1,4,89,60,0.984,18.8,80,toyota corolla tercel
311 | TRUE,32.1,4,98,70,1.06,15.5,80,chevrolet chevette
312 | TRUE,37.2,4,86,65,1.0095,16.4,80,datsun 310
313 | TRUE,28,4,151,90,1.339,16.5,80,chevrolet citation
314 | TRUE,26.4,4,140,88,1.435,18.1,80,ford fairmont
315 | TRUE,24.3,4,151,90,1.5015,20.1,80,amc concord
316 | TRUE,19.1,6,225,90,1.6905,18.7,80,dodge aspen
317 | TRUE,34.3,4,97,78,1.094,15.8,80,audi 4000
318 | TRUE,29.8,4,134,90,1.3555,15.5,80,toyota corona liftback
319 | TRUE,31.3,4,120,75,1.271,17.5,80,mazda 626
320 | TRUE,37,4,119,92,1.217,15,80,datsun 510 hatchback
321 | TRUE,32.2,4,108,75,1.1325,15.2,80,toyota corolla
322 | TRUE,46.6,4,86,65,1.055,17.9,80,mazda glc
323 | TRUE,27.9,4,156,105,1.4,14.4,80,dodge colt
324 | TRUE,40.8,4,85,65,1.055,19.2,80,datsun 210
325 | TRUE,44.3,4,90,48,1.0425,21.7,80,vw rabbit c (diesel)
326 | TRUE,43.4,4,90,48,1.1675,23.7,80,vw dasher (diesel)
327 | TRUE,36.4,5,121,67,1.475,19.9,80,audi 5000s (diesel)
328 | TRUE,30,4,146,67,1.625,21.8,80,mercedes-benz 240d
329 | TRUE,44.6,4,91,67,0.925,13.8,80,honda civic 1500 gl
330 | TRUE,33.8,4,97,67,1.0725,18,80,subaru dl
331 | TRUE,29.8,4,89,62,0.9225,15.3,80,vokswagen rabbit
332 | TRUE,32.7,6,168,132,1.455,11.4,80,datsun 280-zx
333 | TRUE,23.7,3,70,100,1.21,12.5,80,mazda rx-7 gs
334 | TRUE,35,4,122,88,1.25,15.1,80,triumph tr7 coupe
335 | TRUE,32.4,4,107,72,1.145,17,80,honda accord
336 | TRUE,27.2,4,135,84,1.245,15.7,81,plymouth reliant
337 | TRUE,26.6,4,151,84,1.3175,16.4,81,buick skylark
338 | TRUE,25.8,4,156,92,1.31,14.4,81,dodge aries wagon (sw)
339 | TRUE,23.5,6,173,110,1.3625,12.6,81,chevrolet citation
340 | TRUE,30,4,135,84,1.1925,12.9,81,plymouth reliant
341 | TRUE,39.1,4,79,58,0.8775,16.9,81,toyota starlet
342 | TRUE,39,4,86,64,0.9375,16.4,81,plymouth champ
343 | TRUE,35.1,4,81,60,0.88,16.1,81,honda civic 1300
344 | TRUE,32.3,4,97,67,1.0325,17.8,81,subaru
345 | TRUE,37,4,85,65,0.9875,19.4,81,datsun 210 mpg
346 | TRUE,37.7,4,89,62,1.025,17.3,81,toyota tercel
347 | TRUE,34.1,4,91,68,0.9925,16,81,mazda glc 4
348 | TRUE,34.7,4,105,63,1.1075,14.9,81,plymouth horizon 4
349 | TRUE,34.4,4,98,65,1.0225,16.2,81,ford escort 4w
350 | TRUE,29.9,4,98,65,1.19,20.7,81,ford escort 2h
351 | TRUE,33,4,105,74,1.095,14.2,81,volkswagen jetta
352 | TRUE,33.7,4,107,75,1.105,14.4,81,honda prelude
353 | TRUE,32.4,4,108,75,1.175,16.8,81,toyota corolla
354 | TRUE,32.9,4,119,100,1.3075,14.8,81,datsun 200sx
355 | TRUE,31.6,4,120,74,1.3175,18.3,81,mazda 626
356 | TRUE,28.1,4,141,80,1.615,20.4,81,peugeot 505s turbo diesel
357 | TRUE,30.7,6,145,76,1.58,19.6,81,volvo diesel
358 | TRUE,25.4,6,168,116,1.45,12.6,81,toyota cressida
359 | TRUE,24.2,6,146,120,1.465,13.8,81,datsun 810 maxima
360 | TRUE,22.4,6,231,110,1.7075,15.8,81,buick century
361 | TRUE,26.6,8,350,105,1.8625,19,81,oldsmobile cutlass ls
362 | TRUE,20.2,6,200,88,1.53,17.1,81,ford granada gl
363 | FALSE,17.6,6,225,85,1.7325,16.6,81,chrysler lebaron salon
364 | TRUE,28,4,112,88,1.3025,19.6,82,chevrolet cavalier
365 | TRUE,27,4,112,88,1.32,18.6,82,chevrolet cavalier wagon
366 | TRUE,34,4,112,88,1.1975,18,82,chevrolet cavalier 2-door
367 | TRUE,31,4,112,85,1.2875,16.2,82,pontiac j2000 se hatchback
368 | TRUE,29,4,135,84,1.2625,16,82,dodge aries se
369 | TRUE,27,4,151,90,1.3675,18,82,pontiac phoenix
370 | TRUE,24,4,140,92,1.4325,16.4,82,ford fairmont futura
371 | TRUE,36,4,105,74,0.99,15.3,82,volkswagen rabbit l
372 | TRUE,37,4,91,68,1.0125,18.2,82,mazda glc custom l
373 | TRUE,31,4,91,68,0.985,17.6,82,mazda glc custom
374 | TRUE,38,4,105,63,1.0625,14.7,82,plymouth horizon miser
375 | TRUE,36,4,98,70,1.0625,17.3,82,mercury lynx l
376 | TRUE,36,4,120,88,1.08,14.5,82,nissan stanza xe
377 | TRUE,36,4,107,75,1.1025,14.5,82,honda accord
378 | TRUE,34,4,108,70,1.1225,16.9,82,toyota corolla
379 | TRUE,38,4,91,67,0.9825,15,82,honda civic
380 | TRUE,32,4,91,67,0.9825,15.7,82,honda civic (auto)
381 | TRUE,38,4,91,67,0.9975,16.2,82,datsun 310 gx
382 | TRUE,25,6,181,110,1.4725,16.4,82,buick century limited
383 | TRUE,38,6,262,85,1.5075,17,82,oldsmobile cutlass ciera (diesel)
384 | TRUE,26,4,156,92,1.2925,14.5,82,chrysler lebaron medallion
385 | TRUE,22,6,232,112,1.4175,14.7,82,ford granada l
386 | TRUE,32,4,144,96,1.3325,13.9,82,toyota celica gt
387 | TRUE,36,4,135,84,1.185,13,82,dodge charger 2.2
388 | TRUE,27,4,151,90,1.475,17.3,82,chevrolet camaro
389 | TRUE,27,4,140,86,1.395,15.6,82,ford mustang gl
390 | TRUE,44,4,97,52,1.065,24.6,82,vw pickup
391 | TRUE,32,4,135,84,1.1475,11.6,82,dodge rampage
392 | TRUE,28,4,120,79,1.3125,18.6,82,ford ranger
393 | TRUE,31,4,119,82,1.36,19.4,82,chevy s-10
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