-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathBestRun_output_04212022.txt
689 lines (689 loc) · 46.3 KB
/
BestRun_output_04212022.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
setting parameters...
building classifiers...
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]
Scoring 01
Fitting 10 folds for each of 1000 candidates, totalling 10000 fits
Results from Random Search
The best estimator across ALL searched params: GradientBoostingClassifier(learning_rate=0.7178779267859892, max_depth=13,
max_features=31,
min_samples_leaf=0.08783796393260794,
min_samples_split=0.8005973658565748,
n_estimators=73, subsample=0.9490758287454429)
The best score across ALL searched params: 0.8477513227513228
The best parameters across ALL searched params: {'learning_rate': 0.7178779267859892, 'max_depth': 13, 'max_features': 31, 'min_samples_leaf': 0.08783796393260794, 'min_samples_split': 0.8005973658565748, 'n_estimators': 73, 'subsample': 0.9490758287454429}
[0 1 1 0 1 1 0 1 0 0 0 1 1 0 1 1 0 1 1 1 0 1 1 0 0 0 0 0 0 0 0 1 1 1 0 1 0
0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 1 1 0 0 0 0 0 0 1 1 0 1 1 1 0 1 0 0 0 1 0
1 0 0 0 0 1 1 0 0 1 1 1 1 1 1 0 1 1 1 1 1 1 0 0 1 0 0 0 0 0 1 1 1 0 1 1 1
1 0 0 1 1 1 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 2 2 2 2
2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
2 2 2 2]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1]
Scoring 02
Fitting 10 folds for each of 1000 candidates, totalling 10000 fits
Results from Random Search
The best estimator across ALL searched params: GradientBoostingClassifier(learning_rate=0.7344092163276656, max_depth=1,
max_features=2, min_samples_leaf=0.2531767124332307,
min_samples_split=0.5725755600303054,
n_estimators=279, subsample=0.8403494028822964)
The best score across ALL searched params: 0.8932748538011696
The best parameters across ALL searched params: {'learning_rate': 0.7344092163276656, 'max_depth': 1, 'max_features': 2, 'min_samples_leaf': 0.2531767124332307, 'min_samples_split': 0.5725755600303054, 'n_estimators': 279, 'subsample': 0.8403494028822964}
[0 0 2 2 0 2 0 2 0 0 0 0 0 2 2 2 0 0 2 0 0 0 0 2 0 0 0 0 2 0 0 0 2 0 0 0 0
2 2 0 0 0 0 0 0 0 2 0 0 0 0 2 0 2 0 0 2 0 0 0 0 0 2 0 2 0 0 2 2 0 0 2 0 0
2 0 0 0 0]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 3 3 3 3 3
3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]
Scoring 03
Fitting 10 folds for each of 1000 candidates, totalling 10000 fits
Results from Random Search
The best estimator across ALL searched params: GradientBoostingClassifier(learning_rate=0.2027624279812813, max_depth=8,
max_features=2, min_samples_leaf=0.1212509201441038,
min_samples_split=0.3426204038472529,
n_estimators=646, subsample=0.563595708464431)
The best score across ALL searched params: 0.8500000000000002
The best parameters across ALL searched params: {'learning_rate': 0.2027624279812813, 'max_depth': 8, 'max_features': 2, 'min_samples_leaf': 0.1212509201441038, 'min_samples_split': 0.3426204038472529, 'n_estimators': 646, 'subsample': 0.563595708464431}
[0 0 0 0 0 0 3 3 0 3 0 0 3 0 0 0 0 0 0 0 0 3 3 0 0 0 3 3 3 0 0 3 0 3 0 0 0
0 0 0 0 0 0 0 0 0 3 0 3 0 0 0 3 3 0 0 3 0 0 0 3 3 0 3 0 3 0 3 0 3 0 3 0 0
0 0 0 0]
[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2
2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
2 2 2 2 2 2 2]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1]
Scoring 12
Fitting 10 folds for each of 1000 candidates, totalling 10000 fits
Results from Random Search
The best estimator across ALL searched params: GradientBoostingClassifier(learning_rate=0.1388375147007529, max_depth=7,
max_features=23, min_samples_leaf=0.2634140035258906,
min_samples_split=0.413455244441187,
n_estimators=575, subsample=0.8079419978534866)
The best score across ALL searched params: 0.9296536796536797
The best parameters across ALL searched params: {'learning_rate': 0.1388375147007529, 'max_depth': 7, 'max_features': 23, 'min_samples_leaf': 0.2634140035258906, 'min_samples_split': 0.413455244441187, 'n_estimators': 575, 'subsample': 0.8079419978534866}
[1 2 1 2 1 1 1 2 2 1 1 1 1 1 1 1 1 1 2 2 1 2 2 1 1 2 2 1 2 1 1 2 1 1 1 1 1
1 1 1 1 1 1 1 1 2 2 1 2 2 2 2 1 1 2 1 2 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1
2 1 2 2 1 1 1 2 1 1 1 1 2 1 1 1 1]
[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 3 3
3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
3 3]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1]
Scoring 13
Fitting 10 folds for each of 1000 candidates, totalling 10000 fits
Results from Random Search
The best estimator across ALL searched params: GradientBoostingClassifier(learning_rate=0.8195657698647525, max_depth=23,
max_features=53,
min_samples_leaf=0.09860009237055171,
min_samples_split=0.9544728552658257,
n_estimators=406, subsample=0.9775608956747956)
The best score across ALL searched params: 0.9857142857142858
The best parameters across ALL searched params: {'learning_rate': 0.8195657698647525, 'max_depth': 23, 'max_features': 53, 'min_samples_leaf': 0.09860009237055171, 'min_samples_split': 0.9544728552658257, 'n_estimators': 406, 'subsample': 0.9775608956747956}
[1 3 3 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 3 1 3 3 1 3 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 3 3 1 3 1 1 1 1 1 1 1 1 1 3 1 1 3 1 3 3 1
1 3 1 1 3 3 1 1 3 1 1 1 1 1 1 1]
[2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3]
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]
Scoring 23
Fitting 10 folds for each of 1000 candidates, totalling 10000 fits
Results from Random Search
The best estimator across ALL searched params: GradientBoostingClassifier(learning_rate=0.6252581455261208, max_depth=19,
max_features=57,
min_samples_leaf=0.008856139549376505,
min_samples_split=0.9434402029779645,
n_estimators=28, subsample=0.9966471670479713)
The best score across ALL searched params: 0.9227272727272726
The best parameters across ALL searched params: {'learning_rate': 0.6252581455261208, 'max_depth': 19, 'max_features': 57, 'min_samples_leaf': 0.008856139549376505, 'min_samples_split': 0.9434402029779645, 'n_estimators': 28, 'subsample': 0.9966471670479713}
[3 3 2 2 3 2 3 2 3 3 2 2 2 2 2 2 3 2 3 2 2 2 2 2 3 2 3 2 2 3 2 3 3 3 3 2 3
3 2 3 2 2 3 2 3 3 2 3 2 3 3]
01-0 01-1 02-0 02-2 03-0 03-3 12-1 12-2 13-1 13-3 23-2 23-3
0 0.883242 0.116758 0.620979 0.379021 0.737867 0.262133 0.832800 0.167200 3.391369e-01 6.608631e-01 0.057061 0.942939
1 0.239133 0.760867 0.029509 0.970491 0.995098 0.004902 0.254955 0.745045 1.000000e+00 1.954365e-10 0.980031 0.019969
2 0.865019 0.134981 0.966324 0.033676 0.668987 0.331013 0.955385 0.044615 9.999998e-01 1.707757e-07 0.003346 0.996654
3 0.543041 0.456959 0.935988 0.064012 0.969220 0.030780 0.785898 0.214102 1.000000e+00 3.589426e-11 0.587568 0.412432
4 0.126570 0.873430 0.993578 0.006422 0.902424 0.097576 0.998973 0.001027 1.000000e+00 1.411206e-09 0.426641 0.573359
5 0.187946 0.812054 0.967209 0.032791 0.914729 0.085271 0.947475 0.052525 1.000000e+00 5.749042e-09 0.011141 0.988859
6 0.488905 0.511095 0.980097 0.019903 0.996409 0.003591 0.996227 0.003773 1.000000e+00 2.150751e-08 0.223486 0.776514
7 0.026917 0.973083 0.882516 0.117484 0.990414 0.009586 0.876656 0.123344 1.000000e+00 1.318286e-15 0.717327 0.282673
8 0.216298 0.783702 0.985200 0.014800 0.826489 0.173511 0.973754 0.026246 4.452807e-01 5.547193e-01 0.034328 0.965672
9 0.264594 0.735406 0.922730 0.077270 0.967045 0.032955 0.871585 0.128415 1.000000e+00 1.015355e-08 0.990258 0.009742
10 0.522954 0.477046 0.997941 0.002059 0.998793 0.001207 0.994923 0.005077 1.000000e+00 3.614566e-15 0.487065 0.512935
11 0.169107 0.830893 0.994389 0.005611 0.997390 0.002610 0.994923 0.005077 1.000000e+00 1.180659e-09 0.487065 0.512935
12 0.264553 0.735447 0.141431 0.858569 0.937565 0.062435 0.892331 0.107669 1.000000e+00 1.244360e-08 0.779226 0.220774
13 0.593540 0.406460 0.993839 0.006161 0.997063 0.002937 0.998775 0.001225 1.000000e+00 4.452604e-12 0.426641 0.573359
14 0.021439 0.978561 0.828753 0.171247 0.998147 0.001853 0.683918 0.316082 1.000000e+00 3.000968e-16 0.885212 0.114788
15 0.031135 0.968865 0.828753 0.171247 0.997737 0.002263 0.683918 0.316082 1.000000e+00 1.506576e-16 0.885212 0.114788
16 0.999121 0.000879 0.983975 0.016025 0.969805 0.030195 0.182412 0.817588 2.022719e-09 1.000000e+00 0.011141 0.988859
17 0.073314 0.926686 0.915630 0.084370 0.987583 0.012417 0.950782 0.049218 1.000000e+00 1.885717e-13 0.717327 0.282673
18 0.093257 0.906743 0.959464 0.040536 0.992963 0.007037 0.962328 0.037672 1.000000e+00 9.466865e-14 0.717327 0.282673
19 0.031526 0.968474 0.784728 0.215272 0.995914 0.004086 0.933426 0.066574 1.000000e+00 7.907322e-23 0.993853 0.006147
20 0.814676 0.185324 0.889997 0.110003 0.132440 0.867560 0.827896 0.172104 5.396086e-08 9.999999e-01 0.011141 0.988859
21 0.257768 0.742232 0.725020 0.274980 0.781926 0.218074 0.873878 0.126122 9.999999e-01 9.228964e-08 0.078992 0.921008
22 0.005129 0.994871 0.231552 0.768448 0.958602 0.041398 0.989301 0.010699 1.000000e+00 2.149044e-13 0.993853 0.006147
23 0.576116 0.423884 0.857983 0.142017 0.999608 0.000392 0.983190 0.016810 1.000000e+00 5.724675e-14 0.842921 0.157079
24 0.998338 0.001662 0.785175 0.214825 0.055906 0.944094 0.023649 0.976351 1.892230e-08 1.000000e+00 0.978612 0.021388
25 0.020559 0.979441 0.234902 0.765098 0.997110 0.002890 0.299210 0.700790 1.000000e+00 2.093323e-12 0.998427 0.001573
26 0.349212 0.650788 0.907891 0.092109 0.975875 0.024125 0.202196 0.797804 9.797584e-01 2.024159e-02 0.160327 0.839673
27 0.765068 0.234932 0.911389 0.088611 0.966081 0.033919 0.720765 0.279235 1.000000e+00 3.278437e-10 0.949452 0.050548
28 0.638454 0.361546 0.967209 0.032791 0.882752 0.117248 0.946140 0.053860 9.999999e-01 1.347653e-07 0.011141 0.988859
29 0.938685 0.061315 0.907891 0.092109 0.975875 0.024125 0.202196 0.797804 5.825292e-04 9.994175e-01 0.104079 0.895921
30 0.772055 0.227945 0.954588 0.045412 0.983378 0.016622 0.957439 0.042561 9.999918e-01 8.187795e-06 0.914942 0.085058
31 0.072696 0.927304 0.997677 0.002323 0.945946 0.054054 0.941524 0.058476 1.000000e+00 1.988345e-12 0.021008 0.978992
32 0.182990 0.817010 0.959464 0.040536 0.994016 0.005984 0.988467 0.011533 1.000000e+00 8.674839e-13 0.717327 0.282673
33 0.159562 0.840438 0.728438 0.271562 0.953004 0.046996 0.985285 0.014715 1.000000e+00 7.787691e-09 0.871066 0.128934
34 0.055464 0.944536 0.755653 0.244347 0.845008 0.154992 0.957627 0.042373 1.000000e+00 4.767419e-10 0.160327 0.839673
35 0.062512 0.937488 0.979279 0.020721 0.761118 0.238882 0.999147 0.000853 1.000000e+00 9.836168e-10 0.078992 0.921008
36 0.985180 0.014820 0.982867 0.017133 0.970681 0.029319 0.223258 0.776742 9.896559e-01 1.034409e-02 0.011141 0.988859
37 0.813861 0.186139 0.970328 0.029672 0.991503 0.008497 0.925421 0.074579 9.999999e-01 1.449607e-07 0.971380 0.028620
38 0.728042 0.271958 0.919143 0.080857 0.946722 0.053278 0.202196 0.797804 2.444204e-01 7.555796e-01 0.160327 0.839673
39 0.998658 0.001342 0.814678 0.185322 0.856914 0.143086 0.477088 0.522912 6.661338e-16 1.000000e+00 0.175211 0.824789
40 0.404123 0.595877 0.769473 0.230527 0.987581 0.012419 0.779940 0.220060 1.000000e+00 2.349894e-15 0.993853 0.006147
41 0.942647 0.057353 0.988594 0.011406 0.931380 0.068620 0.328629 0.671371 9.982243e-01 1.775720e-03 0.240235 0.759765
42 0.077906 0.922094 0.991178 0.008822 0.953808 0.046192 0.962850 0.037150 1.000000e+00 6.502833e-15 0.251551 0.748449
43 0.995000 0.005000 0.986144 0.013856 0.974818 0.025182 0.244358 0.755642 2.051359e-11 1.000000e+00 0.034328 0.965672
44 0.990197 0.009803 0.996474 0.003526 0.971358 0.028642 0.878853 0.121147 1.181524e-07 9.999999e-01 0.011141 0.988859
45 0.600307 0.399693 0.843008 0.156992 0.977619 0.022381 0.685148 0.314852 1.000000e+00 2.091921e-12 0.993853 0.006147
46 0.838552 0.161448 0.957111 0.042889 0.944460 0.055540 0.500836 0.499164 9.650240e-01 3.497604e-02 0.057061 0.942939
47 0.014778 0.985222 0.999519 0.000481 0.995297 0.004703 0.993763 0.006237 9.999994e-01 5.787624e-07 0.714039 0.285961
48 0.955042 0.044958 0.947895 0.052105 0.988912 0.011088 0.876985 0.123015 9.999977e-01 2.318125e-06 0.223486 0.776514
49 0.063673 0.936327 0.233505 0.766495 0.998039 0.001961 0.924669 0.075331 1.000000e+00 1.319616e-25 0.976751 0.023249
50 0.522954 0.477046 0.977248 0.022752 0.995902 0.004098 0.946821 0.053179 1.000000e+00 3.614566e-15 0.487065 0.512935
51 0.598468 0.401532 0.997047 0.002953 0.988317 0.011683 0.871751 0.128249 1.000000e+00 8.513450e-10 0.840783 0.159217
52 0.334487 0.665513 0.060377 0.939623 0.997789 0.002211 0.283651 0.716349 1.000000e+00 1.561286e-10 0.980031 0.019969
53 0.107944 0.892056 0.956395 0.043605 0.991148 0.008852 0.991016 0.008984 1.000000e+00 1.377873e-11 0.611451 0.388549
54 0.813861 0.186139 0.970328 0.029672 0.991503 0.008497 0.925421 0.074579 9.999999e-01 1.449607e-07 0.971380 0.028620
55 0.957764 0.042236 0.986448 0.013552 0.874723 0.125277 0.997320 0.002680 9.994988e-05 9.999001e-01 0.000719 0.999281
56 0.999278 0.000722 0.936444 0.063556 0.990244 0.009756 0.306558 0.693442 4.261079e-07 9.999996e-01 0.187105 0.812895
57 0.998686 0.001314 0.986383 0.013617 0.755076 0.244924 0.598447 0.401553 1.663114e-12 1.000000e+00 0.002000 0.998000
58 0.811850 0.188150 0.939633 0.060367 0.981655 0.018345 0.778845 0.221155 1.000000e+00 9.792760e-10 0.127918 0.872082
59 0.383537 0.616463 0.878417 0.121583 0.972626 0.027374 0.703961 0.296039 1.000000e+00 3.278437e-10 0.949452 0.050548
60 0.998338 0.001662 0.853572 0.146428 0.910303 0.089697 0.036974 0.963026 3.555522e-02 9.644448e-01 0.824896 0.175104
61 0.081844 0.918156 0.962554 0.037446 0.992081 0.007919 0.946821 0.053179 1.000000e+00 1.666905e-16 0.330941 0.669059
62 0.466819 0.533181 0.366420 0.633580 0.997057 0.002943 0.715936 0.284064 1.000000e+00 8.176134e-17 0.980031 0.019969
63 0.999747 0.000253 0.975470 0.024530 0.914067 0.085933 0.009061 0.990939 0.000000e+00 1.000000e+00 0.005737 0.994263
64 0.022031 0.977969 0.994601 0.005399 0.611400 0.388600 0.995864 0.004136 1.000000e+00 1.858384e-09 0.893857 0.106143
65 0.463799 0.536201 0.983705 0.016295 0.992273 0.007727 0.821509 0.178491 1.000000e+00 1.693179e-08 0.933240 0.066760
66 0.058710 0.941290 0.103300 0.896700 0.981805 0.018195 0.932546 0.067454 1.000000e+00 8.925371e-13 0.993853 0.006147
67 0.895146 0.104854 0.997512 0.002488 0.869969 0.130031 0.979524 0.020476 9.993509e-01 6.491332e-04 0.003346 0.996654
68 0.734625 0.265375 0.872521 0.127479 0.411594 0.588406 0.998416 0.001584 1.000000e+00 6.849326e-09 0.011141 0.988859
69 0.711378 0.288622 0.983964 0.016036 0.990614 0.009386 0.987782 0.012218 9.998061e-01 1.939458e-04 0.223486 0.776514
70 0.998156 0.001844 0.338187 0.661813 0.503864 0.496136 0.063635 0.936365 8.186273e-04 9.991814e-01 0.948683 0.051317
71 0.661993 0.338007 0.107723 0.892277 0.763310 0.236690 0.224516 0.775484 4.245181e-01 5.754819e-01 0.649677 0.350323
72 0.842983 0.157017 0.977295 0.022705 0.996502 0.003498 0.986597 0.013403 9.999999e-01 5.204834e-08 0.426641 0.573359
73 0.996117 0.003883 0.961305 0.038695 0.992922 0.007078 0.875388 0.124612 9.999497e-01 5.026449e-05 0.355881 0.644119
74 0.048976 0.951024 0.809315 0.190685 0.981084 0.018916 0.971757 0.028243 9.999865e-01 1.352085e-05 0.933593 0.066407
75 0.331653 0.668347 0.391754 0.608246 0.997755 0.002245 0.782436 0.217564 1.000000e+00 2.233312e-08 0.829688 0.170312
76 0.558566 0.441434 0.710703 0.289297 0.944511 0.055489 0.954565 0.045435 9.999999e-01 5.661185e-08 0.223486 0.776514
77 0.241440 0.758560 0.728438 0.271562 0.974661 0.025339 0.948273 0.051727 1.000000e+00 2.649586e-09 0.985520 0.014480
78 0.008723 0.991277 0.922394 0.077606 0.994109 0.005891 0.959651 0.040349 1.000000e+00 1.885717e-13 0.717327 0.282673
79 0.016931 0.983069 0.970915 0.029085 0.985252 0.014748 0.996113 0.003887 1.000000e+00 3.780306e-13 0.941341 0.058659
80 0.264553 0.735447 0.141431 0.858569 0.937565 0.062435 0.887638 0.112362 1.000000e+00 7.051871e-09 0.779226 0.220774
81 0.631160 0.368840 0.999544 0.000456 0.921018 0.078982 0.988341 0.011659 9.999914e-01 8.589691e-06 0.000346 0.999654
82 0.989710 0.010290 0.998765 0.001235 0.190808 0.809192 0.986926 0.013074 4.347891e-10 1.000000e+00 0.011141 0.988859
83 0.014657 0.985343 0.231552 0.768448 0.974984 0.025016 0.996549 0.003451 1.000000e+00 7.098875e-14 0.993853 0.006147
84 0.017123 0.982877 0.959464 0.040536 0.987599 0.012401 0.959623 0.040377 1.000000e+00 9.466865e-14 0.717327 0.282673
85 0.006412 0.993588 0.922548 0.077452 0.994765 0.005235 0.997167 0.002833 1.000000e+00 2.708291e-12 0.840783 0.159217
86 0.813861 0.186139 0.970328 0.029672 0.991503 0.008497 0.925421 0.074579 9.999999e-01 1.449607e-07 0.971380 0.028620
87 0.140471 0.859529 0.135739 0.864261 0.997202 0.002798 0.794699 0.205301 1.000000e+00 6.953410e-18 0.976751 0.023249
88 0.001136 0.998864 0.517211 0.482789 0.999282 0.000718 0.999538 0.000462 1.000000e+00 9.302757e-19 0.981550 0.018450
89 0.999498 0.000502 0.995507 0.004493 0.986037 0.013963 0.286040 0.713960 4.631022e-08 1.000000e+00 0.021170 0.978830
90 0.417222 0.582778 0.478727 0.521273 0.982998 0.017002 0.641259 0.358741 1.000000e+00 1.469652e-09 0.900141 0.099859
91 0.424310 0.575690 0.680525 0.319475 0.969683 0.030317 0.887347 0.112653 1.000000e+00 1.326780e-08 0.992989 0.007011
92 0.289213 0.710787 0.968281 0.031719 0.996050 0.003950 0.935772 0.064228 1.000000e+00 1.271091e-09 0.426641 0.573359
93 0.064619 0.935381 0.894601 0.105399 0.991240 0.008760 0.996139 0.003861 1.000000e+00 1.251981e-10 0.430598 0.569402
94 0.032078 0.967922 0.618846 0.381154 0.998759 0.001241 0.898106 0.101894 1.000000e+00 2.743718e-11 0.984379 0.015621
95 0.499237 0.500763 0.141431 0.858569 0.937565 0.062435 0.878273 0.121727 1.000000e+00 1.244360e-08 0.779226 0.220774
96 0.911115 0.088885 0.975682 0.024318 0.989469 0.010531 0.202196 0.797804 9.947750e-01 5.224993e-03 0.057061 0.942939
97 0.896001 0.103999 0.977295 0.022705 0.998835 0.001165 0.924380 0.075620 9.999999e-01 5.204834e-08 0.426641 0.573359
98 0.264553 0.735447 0.141431 0.858569 0.937565 0.062435 0.887638 0.112362 1.000000e+00 1.244360e-08 0.779226 0.220774
99 0.800294 0.199706 0.978938 0.021062 0.992749 0.007251 0.878349 0.121651 9.998061e-01 1.939458e-04 0.492554 0.507446
100 0.966127 0.033873 0.990870 0.009130 0.883183 0.116817 0.977723 0.022277 1.222615e-04 9.998777e-01 0.251551 0.748449
101 0.785771 0.214229 0.485225 0.514775 0.994979 0.005021 0.307780 0.692220 2.285428e-07 9.999998e-01 0.179524 0.820476
102 0.519890 0.480110 0.984943 0.015057 0.991397 0.008603 0.998993 0.001007 9.999999e-01 5.423502e-08 0.223486 0.776514
103 0.800294 0.199706 0.978938 0.021062 0.992749 0.007251 0.878349 0.121651 9.998061e-01 1.939458e-04 0.492554 0.507446
104 0.050491 0.949509 0.976025 0.023975 0.989719 0.010281 0.923317 0.076683 1.000000e+00 2.888055e-09 0.840783 0.159217
105 0.122424 0.877576 0.894205 0.105795 0.953004 0.046996 0.989081 0.010919 9.999999e-01 9.765595e-08 0.871066 0.128934
106 0.194212 0.805788 0.978882 0.021118 0.850626 0.149374 0.989523 0.010477 1.000000e+00 4.416446e-11 0.545870 0.454130
107 0.599805 0.400195 0.535838 0.464162 0.994979 0.005021 0.873315 0.126685 2.285428e-07 9.999998e-01 0.179524 0.820476
108 0.562403 0.437597 0.983705 0.016295 0.992273 0.007727 0.735885 0.264115 1.000000e+00 8.500265e-09 0.840783 0.159217
109 0.149963 0.850037 0.915630 0.084370 0.990744 0.009256 0.962680 0.037320 1.000000e+00 1.190263e-12 0.717327 0.282673
110 0.107944 0.892056 0.841524 0.158476 0.992919 0.007081 0.993086 0.006914 1.000000e+00 2.557978e-11 0.611451 0.388549
111 0.012603 0.987397 0.922394 0.077606 0.994276 0.005724 0.987623 0.012377 1.000000e+00 1.727952e-12 0.717327 0.282673
112 0.934306 0.065694 0.998969 0.001031 0.323002 0.676998 0.998407 0.001593 5.466576e-09 1.000000e+00 0.011141 0.988859
113 0.985779 0.014221 0.732455 0.267545 0.760941 0.239059 0.830741 0.169259 2.311852e-02 9.768815e-01 0.104079 0.895921
114 0.083462 0.916538 0.949184 0.050816 0.995190 0.004810 0.999336 0.000664 1.000000e+00 4.096071e-13 0.941341 0.058659
115 0.333532 0.666468 0.594686 0.405314 0.992865 0.007135 0.995619 0.004381 1.000000e+00 3.835271e-16 0.990303 0.009697
116 0.734625 0.265375 0.919445 0.080555 0.502327 0.497673 0.998050 0.001950 1.000000e+00 4.482049e-12 0.011141 0.988859
117 0.788038 0.211962 0.752224 0.247776 0.995105 0.004895 0.917851 0.082149 9.999832e-01 1.679267e-05 0.829688 0.170312
118 0.976275 0.023725 0.883512 0.116488 0.843406 0.156594 0.297900 0.702100 3.808856e-01 6.191144e-01 0.057061 0.942939
119 0.966447 0.033553 0.893614 0.106386 0.108369 0.891631 0.012412 0.987588 2.087219e-14 1.000000e+00 0.021133 0.978867
120 0.969006 0.030994 0.870608 0.129392 0.987601 0.012399 0.061032 0.938968 5.586198e-12 1.000000e+00 0.068879 0.931121
121 0.166703 0.833297 0.030674 0.969326 0.811143 0.188857 0.020237 0.979763 9.999999e-01 1.145473e-07 0.949452 0.050548
122 0.029495 0.970505 0.156772 0.843228 0.997567 0.002433 0.478963 0.521037 1.000000e+00 6.799587e-25 0.976751 0.023249
123 0.706607 0.293393 0.992031 0.007969 0.080972 0.919028 0.930795 0.069205 5.767233e-08 9.999999e-01 0.001159 0.998841
124 0.983789 0.016211 0.084939 0.915061 0.042342 0.957658 0.014792 0.985208 0.000000e+00 1.000000e+00 0.858690 0.141310
125 0.047874 0.952126 0.976432 0.023568 0.071798 0.928202 0.943307 0.056693 9.807147e-01 1.928526e-02 0.022907 0.977093
126 0.666811 0.333189 0.586398 0.413602 0.690101 0.309899 0.065422 0.934578 9.999996e-01 4.418821e-07 0.912783 0.087217
127 0.677100 0.322900 0.993692 0.006308 0.074751 0.925249 0.880593 0.119407 1.587696e-07 9.999998e-01 0.006938 0.993062
128 0.992819 0.007181 0.997890 0.002110 0.050640 0.949360 0.995494 0.004506 1.776357e-15 1.000000e+00 0.011141 0.988859
129 0.005227 0.994773 0.119120 0.880880 0.986365 0.013635 0.243653 0.756347 1.000000e+00 6.073092e-14 0.987292 0.012708
130 0.999582 0.000418 0.279510 0.720490 0.580874 0.419126 0.063635 0.936365 3.796104e-04 9.996204e-01 0.972595 0.027405
131 0.616519 0.383481 0.555145 0.444855 0.960219 0.039781 0.608348 0.391652 1.000000e+00 1.887801e-11 0.949452 0.050548
132 0.037225 0.962775 0.344331 0.655669 0.982471 0.017529 0.849079 0.150921 1.000000e+00 1.398092e-14 0.981550 0.018450
133 0.992505 0.007495 0.272298 0.727702 0.658290 0.341710 0.064517 0.935483 1.745578e-02 9.825442e-01 0.948683 0.051317
134 0.998790 0.001210 0.815085 0.184915 0.978092 0.021908 0.139234 0.860766 4.940492e-13 1.000000e+00 0.187105 0.812895
135 0.944971 0.055029 0.391316 0.608684 0.549819 0.450181 0.005358 0.994642 4.733902e-08 1.000000e+00 0.798539 0.201461
136 0.997750 0.002250 0.111535 0.888465 0.556528 0.443472 0.063635 0.936365 4.851200e-09 1.000000e+00 0.972595 0.027405
137 0.999109 0.000891 0.988068 0.011932 0.232424 0.767576 0.409699 0.590301 5.185625e-10 1.000000e+00 0.001159 0.998841
138 0.424026 0.575974 0.125949 0.874051 0.881573 0.118427 0.289286 0.710714 1.000000e+00 9.862409e-14 0.949452 0.050548
139 0.706196 0.293804 0.366430 0.633570 0.941428 0.058572 0.214273 0.785727 1.000000e+00 2.396493e-09 0.949452 0.050548
140 0.089939 0.910061 0.431374 0.568626 0.989867 0.010133 0.201867 0.798133 1.000000e+00 5.794249e-12 0.983404 0.016596
141 0.466819 0.533181 0.289298 0.710702 0.995929 0.004071 0.488994 0.511006 1.000000e+00 1.539600e-09 0.829688 0.170312
142 0.971280 0.028720 0.244844 0.755156 0.706847 0.293153 0.002234 0.997766 9.366538e-09 1.000000e+00 0.995696 0.004304
143 0.940397 0.059603 0.999213 0.000787 0.446294 0.553706 0.998972 0.001028 1.400571e-04 9.998599e-01 0.011141 0.988859
144 0.155819 0.844181 0.294113 0.705887 0.993489 0.006511 0.116152 0.883848 9.999998e-01 2.439595e-07 0.987755 0.012245
145 0.856145 0.143855 0.789583 0.210417 0.190993 0.809007 0.481441 0.518559 1.576741e-09 1.000000e+00 0.073773 0.926227
146 0.980820 0.019180 0.256426 0.743574 0.812266 0.187734 0.050184 0.949816 9.913384e-09 1.000000e+00 0.530143 0.469857
147 0.275061 0.724939 0.454819 0.545181 0.869181 0.130819 0.375665 0.624335 1.000000e+00 8.614645e-12 0.949452 0.050548
148 0.997952 0.002048 0.998915 0.001085 0.148916 0.851084 0.950108 0.049892 1.969502e-07 9.999998e-01 0.011141 0.988859
149 0.762624 0.237376 0.379366 0.620634 0.517610 0.482390 0.083622 0.916378 2.704503e-13 1.000000e+00 0.876370 0.123630
150 0.971280 0.028720 0.331951 0.668049 0.335708 0.664292 0.002158 0.997842 1.461806e-08 1.000000e+00 0.960892 0.039108
151 0.912387 0.087613 0.997399 0.002601 0.558358 0.441642 0.998916 0.001084 1.426077e-08 1.000000e+00 0.011141 0.988859
152 0.759134 0.240866 0.996606 0.003394 0.446018 0.553982 0.995892 0.004108 9.992177e-01 7.823331e-04 0.033447 0.966553
153 0.961175 0.038825 0.381984 0.618016 0.343957 0.656043 0.848395 0.151605 3.430513e-09 1.000000e+00 0.502517 0.497483
154 0.999318 0.000682 0.107243 0.892757 0.035768 0.964232 0.020579 0.979421 0.000000e+00 1.000000e+00 0.991632 0.008368
155 0.987745 0.012255 0.996164 0.003836 0.079155 0.920845 0.995494 0.004506 3.996803e-15 1.000000e+00 0.011141 0.988859
156 0.998658 0.001342 0.213502 0.786498 0.037467 0.962533 0.058660 0.941340 0.000000e+00 1.000000e+00 0.673549 0.326451
157 0.555760 0.444240 0.045531 0.954469 0.994439 0.005561 0.034772 0.965228 9.999991e-01 9.322140e-07 0.980031 0.019969
158 0.444307 0.555693 0.893820 0.106180 0.051190 0.948810 0.054143 0.945857 9.547918e-15 1.000000e+00 0.000639 0.999361
159 0.121777 0.878223 0.067136 0.932864 0.994614 0.005386 0.373579 0.626421 1.000000e+00 8.726350e-09 0.987755 0.012245
160 0.030901 0.969099 0.071192 0.928808 0.997110 0.002890 0.218075 0.781925 1.000000e+00 1.205384e-13 0.995937 0.004063
161 0.938849 0.061151 0.971882 0.028118 0.057474 0.942526 0.992388 0.007612 2.328204e-11 1.000000e+00 0.011141 0.988859
162 0.041929 0.958071 0.199525 0.800475 0.999094 0.000906 0.296038 0.703962 1.000000e+00 3.055440e-25 0.976751 0.023249
163 0.619274 0.380726 0.905858 0.094142 0.048406 0.951594 0.822348 0.177652 1.435224e-09 1.000000e+00 0.023185 0.976815
164 0.990535 0.009465 0.962547 0.037453 0.402980 0.597020 0.069903 0.930097 1.476175e-11 1.000000e+00 0.023185 0.976815
165 0.013686 0.986314 0.185977 0.814023 0.996925 0.003075 0.091846 0.908154 1.000000e+00 1.318401e-18 0.987292 0.012708
166 0.572306 0.427694 0.997924 0.002076 0.472777 0.527223 0.999283 0.000717 9.822034e-08 9.999999e-01 0.001490 0.998510
167 0.971280 0.028720 0.244844 0.755156 0.706847 0.293153 0.002234 0.997766 9.366538e-09 1.000000e+00 0.995696 0.004304
168 0.997469 0.002531 0.935151 0.064849 0.172778 0.827222 0.971490 0.028510 5.396322e-09 1.000000e+00 0.146856 0.853144
169 0.856145 0.143855 0.789583 0.210417 0.190993 0.809007 0.481441 0.518559 1.576741e-09 1.000000e+00 0.073773 0.926227
0 1 2 3
0 2.242088 1.288695 0.603282 1.865935
1 1.263740 2.015821 2.695567 0.024871
2 2.500329 2.090366 0.081637 1.327667
3 2.448250 2.242857 0.865682 0.443211
4 2.022572 2.872403 0.434090 0.670935
5 2.069885 2.759529 0.096456 1.074130
6 2.465411 2.507321 0.247163 0.780105
7 1.899846 2.849740 0.958155 0.292259
8 2.027987 2.202737 0.075373 1.693903
9 2.154369 2.606991 1.195943 0.042698
10 2.519688 2.471969 0.494200 0.514142
11 2.160886 2.825816 0.497753 0.515546
12 1.343549 2.627778 1.745465 0.283208
13 2.584441 2.405235 0.434028 0.576296
14 1.848338 2.662479 1.372542 0.116641
15 1.857624 2.652784 1.372542 0.117051
16 2.952901 0.183290 0.844754 2.019054
17 1.976527 2.877468 0.850915 0.295090
18 2.045684 2.869071 0.795535 0.289710
19 1.812167 2.901900 1.275698 0.010234
20 1.837112 1.013220 0.293248 2.856420
21 1.764714 2.616110 0.480095 1.139082
22 1.195283 2.984172 1.772999 0.047545
23 2.433706 2.407074 1.001749 0.157471
24 1.839419 0.025311 2.169788 1.965482
25 1.252570 2.278651 2.464316 0.004463
26 2.232978 1.832743 1.050240 0.884039
27 2.642538 1.955697 1.317298 0.084467
28 2.488416 2.307685 0.097792 1.106107
29 2.822451 0.264094 0.993992 1.919463
30 2.710021 2.185375 1.002915 0.101688
31 2.016318 2.868828 0.081808 1.033046
32 2.136470 2.805477 0.769396 0.288658
33 1.841005 2.825723 1.157342 0.175929
34 1.656125 2.902162 0.447048 0.994665
35 1.802909 2.936634 0.100567 1.159890
36 2.938728 1.227734 0.805015 1.028522
37 2.775692 2.111559 1.075631 0.037117
38 2.593907 0.718575 1.038988 1.648531
39 2.670250 0.478430 0.883446 1.967874
40 2.161177 2.375817 1.444440 0.018567
41 2.862621 1.384206 0.923012 0.830161
42 2.022893 2.884943 0.297523 0.794641
43 2.955962 0.249358 0.803825 1.990855
44 2.958030 0.888655 0.135814 2.017501
45 2.420934 2.084841 1.465696 0.028529
46 2.740123 1.627308 0.599114 1.033455
47 2.009594 2.978985 0.720757 0.290664
48 2.891848 1.921940 0.398607 0.787605
49 1.295217 2.860996 1.818577 0.025210
50 2.496105 2.423866 0.562996 0.517033
51 2.583832 2.273284 0.971985 0.170900
52 1.392653 1.949163 2.636004 0.022180
53 2.055487 2.883072 0.664040 0.397401
54 2.775692 2.111559 1.075631 0.037117
55 2.818934 1.039657 0.016951 2.124458
56 2.925966 0.307280 0.944103 1.822651
57 2.740145 0.599761 0.417170 2.242924
58 2.733138 1.966995 0.409440 0.890426
59 2.234579 2.320424 1.367075 0.077922
60 2.762213 0.074191 1.934351 1.229246
61 2.036479 2.864976 0.421566 0.676978
62 1.830296 2.249117 1.897675 0.022912
63 2.889284 0.009315 1.021206 2.080196
64 1.628032 2.973833 0.903392 0.494743
65 2.439777 2.357709 1.128026 0.074487
66 1.143815 2.873836 1.958007 0.024343
67 2.762627 2.083729 0.026310 1.127334
68 2.018740 2.263791 0.140203 1.577265
69 2.685956 2.276209 0.251741 0.786094
70 1.840207 0.066297 2.546861 1.546635
71 1.533026 0.987042 2.317437 1.162495
72 2.816779 2.143615 0.462749 0.576857
73 2.950344 1.879220 0.519188 0.651247
74 1.839375 2.922768 1.152521 0.085336
75 1.721163 2.450782 1.655499 0.172556
76 2.213781 2.395998 0.558218 0.832003
77 1.944540 2.706833 1.308809 0.039819
78 1.925225 2.950928 0.835282 0.288565
79 1.973098 2.979182 0.974314 0.073407
80 1.343549 2.623085 1.750158 0.283208
81 2.551722 2.357172 0.012461 1.078645
82 2.179283 0.997216 0.025449 2.798051
83 1.221192 2.981892 1.765752 0.031164
84 1.964185 2.942500 0.798240 0.295075
85 1.923725 2.990756 0.921067 0.164452
86 2.775692 2.111559 1.075631 0.037117
87 1.273412 2.654228 2.046313 0.026047
88 1.517628 2.998402 1.464801 0.019169
89 2.981042 0.286542 0.739623 1.992793
90 1.878947 2.224038 1.780155 0.116861
91 2.074518 2.463037 1.425117 0.037328
92 2.253544 2.646559 0.522588 0.577309
93 1.950460 2.931520 0.539858 0.578161
94 1.649683 2.866028 1.467428 0.016862
95 1.578232 2.379036 1.759523 0.283208
96 2.876265 1.285857 0.879183 0.958695
97 2.872131 2.028378 0.524966 0.574524
98 1.343549 2.623085 1.750158 0.283208
99 2.771981 2.077861 0.635267 0.514891
100 2.840179 1.011719 0.282957 1.865144
101 2.265975 0.522009 1.386519 1.825496
102 2.496230 2.479103 0.239550 0.785117
103 2.771981 2.077861 0.635267 0.514891
104 2.016235 2.872826 0.941441 0.169498
105 1.969633 2.866657 0.987780 0.175929
106 2.023720 2.795311 0.577465 0.603504
107 2.130623 1.273510 0.770371 1.825496
108 2.538381 2.173482 1.121193 0.166944
109 2.056338 2.812717 0.839016 0.291929
110 1.942386 2.885142 0.776841 0.395631
111 1.929273 2.975020 0.807310 0.288397
112 2.256276 1.064101 0.013765 2.665858
113 2.479175 0.868081 0.540884 2.111861
114 2.027837 2.915874 0.992821 0.063469
115 1.921083 2.662087 1.399998 0.016832
116 2.156397 2.263425 0.093646 1.486533
117 2.535367 2.129797 1.159613 0.175223
118 2.703194 0.702511 0.875649 1.718647
119 1.968430 0.045965 1.115106 2.870499
120 2.827214 0.092026 1.137239 1.943521
121 1.008520 1.853534 2.898541 0.239405
122 1.183834 2.449468 2.341017 0.025682
123 1.779609 1.224189 0.078332 2.917870
124 1.111071 0.031002 2.758959 2.098968
125 1.096105 2.876148 0.103168 1.924580
126 1.943310 1.398611 2.260963 0.397116
127 1.745543 1.203494 0.132652 2.918311
128 2.041348 1.002675 0.017758 2.938220
129 1.110711 2.238427 2.624519 0.026343
130 1.859966 0.064433 2.629450 1.446152
131 2.131883 1.991829 1.785959 0.090329
132 1.364027 2.811854 1.788140 0.035979
133 1.923094 0.089467 2.611868 1.375571
134 2.791967 0.140443 1.232787 1.834803
135 1.886106 0.060387 2.401865 1.651642
136 1.665814 0.065884 2.797425 1.470877
137 2.219601 0.410589 0.603392 2.766417
138 1.431549 1.865260 2.534216 0.168975
139 2.014054 1.508077 2.368748 0.109120
140 1.511180 2.111929 2.350163 0.026729
141 1.752046 2.022175 2.051397 0.174383
142 1.922972 0.030953 2.748619 1.297456
143 2.385904 1.058715 0.012956 2.542426
144 1.443421 1.960332 2.577490 0.018756
145 1.836721 0.625297 0.802749 2.735234
146 2.049512 0.069364 2.223532 1.657592
147 1.599061 2.100605 2.118968 0.181367
148 2.145784 0.952156 0.062117 2.839943
149 1.659599 0.320999 2.413382 1.606021
150 1.638939 0.030878 2.626782 1.703400
151 2.468143 1.086529 0.014826 2.430502
152 2.201758 2.235976 0.040949 1.521318
153 1.687116 0.887220 1.272139 2.153526
154 1.142329 0.021261 2.863810 1.972600
155 2.063063 1.007749 0.019483 2.909705
156 1.249626 0.060002 2.401387 2.288985
157 1.595729 1.479011 2.899728 0.025531
158 1.389316 0.609837 1.052677 2.948171
159 1.183528 2.251802 2.547040 0.017631
160 1.099203 2.187174 2.706670 0.006953
161 1.968204 1.053539 0.046871 2.931386
162 1.240547 2.254110 2.481188 0.024155
163 1.573538 1.203074 0.294979 2.928409
164 2.356062 0.079368 0.990735 2.573835
165 1.196589 2.078160 2.709468 0.015783
166 2.043007 1.426977 0.004282 2.525733
167 1.922972 0.030953 2.748619 1.297456
168 2.105399 0.974020 0.240215 2.680366
169 1.836721 0.625297 0.802749 2.735234
Prediction Actual
0 0 0
1 2 1
2 0 1
3 0 0
4 1 1
5 1 1
6 1 0
7 1 1
8 1 0
9 1 0
10 0 0
11 1 1
12 1 1
13 0 0
14 1 1
15 1 1
16 0 0
17 1 1
18 1 1
19 1 1
20 3 0
21 1 1
22 1 1
23 0 0
24 2 0
25 2 0
26 0 0
27 0 0
28 0 0
29 0 0
30 0 0
31 1 1
32 1 1
33 1 1
34 1 0
35 1 1
36 0 0
37 0 0
38 0 0
39 0 0
40 1 0
41 0 0
42 1 1
43 0 0
44 0 0
45 0 0
46 0 0
47 1 1
48 0 0
49 1 1
50 0 0
51 0 0
52 2 0
53 1 1
54 0 1
55 0 0
56 0 0
57 0 0
58 0 0
59 1 0
60 0 0
61 1 1
62 1 1
63 0 0
64 1 1
65 0 1
66 1 1
67 0 0
68 1 1
69 0 0
70 2 0
71 2 0
72 0 1
73 0 0
74 1 1
75 1 0
76 1 0
77 1 0
78 1 0
79 1 1
80 1 1
81 0 0
82 3 0
83 1 1
84 1 1
85 1 1
86 0 1
87 1 1
88 1 1
89 0 0
90 1 1
91 1 1
92 1 1
93 1 1
94 1 1
95 1 1
96 0 0
97 0 0
98 1 1
99 0 0
100 0 0
101 0 0
102 0 0
103 0 0
104 1 1
105 1 1
106 1 1
107 0 0
108 0 1
109 1 1
110 1 1
111 1 1
112 3 0
113 0 0
114 1 1
115 1 1
116 1 1
117 0 0
118 0 0
119 3 3
120 0 3
121 2 2
122 1 2
123 3 3
124 2 2
125 1 3
126 2 2
127 3 3
128 3 3
129 2 2
130 2 2
131 0 2
132 1 2
133 2 2
134 0 2
135 2 3
136 2 2
137 3 3
138 2 2
139 2 2
140 2 2
141 2 2
142 2 2
143 3 3
144 2 2
145 3 3
146 2 2
147 2 2
148 3 3
149 2 2
150 2 3
151 0 3
152 1 3
153 3 3
154 2 2
155 3 3
156 2 3
157 2 2
158 3 3
159 2 2
160 2 2
161 3 3
162 2 2
163 3 3
164 3 3
165 2 2
166 3 3
167 2 2
168 3 3
169 3 3
{'0': {'precision': 0.8035714285714286, 'recall': 0.7142857142857143, 'f1-score': 0.7563025210084034, 'support': 63}, '1': {'precision': 0.7777777777777778, 'recall': 0.875, 'f1-score': 0.823529411764706, 'support': 56}, '2': {'precision': 0.71875, 'recall': 0.8518518518518519, 'f1-score': 0.7796610169491525, 'support': 27}, '3': {'precision': 0.8421052631578947, 'recall': 0.6666666666666666, 'f1-score': 0.744186046511628, 'support': 24}, 'accuracy': 0.7823529411764706, 'macro avg': {'precision': 0.7855511173767753, 'recall': 0.7769510582010583, 'f1-score': 0.7759197490584725, 'support': 170}, 'weighted avg': {'precision': 0.7870431286549707, 'recall': 0.7823529411764706, 'f1-score': 0.7804471673897597, 'support': 170}}