Run4_v11.txt
30.4 KB
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
-------------------------------- PARAMETERS --------------------------------
Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with training data set: training-data-set-70.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30.txt
Exclude stop words: False
Levels: True True
Report file: _v11
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003649s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
4 hUpper False
5 hLower False
6 hGreek False
7 symb False
8 lemma[:1] 2
9 postag[:1] C
10 postag[:2] CD
11 word 2
12 isUpper False
13 isLower False
14 isGreek False
15 isNumber True
16 -1:word fructose
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-arca
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
6 hUpper True
7 hLower True
8 hGreek False
9 symb True
10 lemma[:1] d
11 postag[:1] N
12 lemma[:2] de
13 postag[:2] NN
14 word delta-arcA
15 isUpper False
16 isLower False
17 isGreek False
18 isNumber False
19 -1:word _
20 +1:word _
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.2530415538363529, c2=0.01421999529254304 ...................
[CV] c1=0.2530415538363529, c2=0.01421999529254304, score=0.789624 - 1.3s
[CV] c1=0.0706583501364852, c2=0.007766154606045574 ..................
[CV] c1=0.0706583501364852, c2=0.007766154606045574, score=0.813743 - 1.7s
[CV] c1=0.2323716379870112, c2=0.06329296060320068 ...................
[CV] c1=0.2323716379870112, c2=0.06329296060320068, score=0.949229 - 1.6s
[CV] c1=0.08296411755539199, c2=0.02012113673798377 ..................
[CV] c1=0.08296411755539199, c2=0.02012113673798377, score=0.843361 - 1.9s
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05 ................
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05, score=0.820019 - 1.6s
[CV] c1=0.35697431252186523, c2=0.053072104891904226 .................
[CV] c1=0.35697431252186523, c2=0.053072104891904226, score=0.921016 - 1.6s
[CV] c1=0.3270597884667632, c2=0.010347987464658356 ..................
[CV] c1=0.3270597884667632, c2=0.010347987464658356, score=0.892120 - 1.7s
[CV] c1=0.04937325798482469, c2=0.021347060592283952 .................
[CV] c1=0.04937325798482469, c2=0.021347060592283952, score=0.969625 - 1.9s
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05 ................
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05, score=0.896961 - 1.9s
[CV] c1=0.8497482346216051, c2=0.13810348554922147 ...................
[CV] c1=0.8497482346216051, c2=0.13810348554922147, score=0.824874 - 1.5s
[CV] c1=0.0706583501364852, c2=0.007766154606045574 ..................
[CV] c1=0.0706583501364852, c2=0.007766154606045574, score=0.851303 - 1.9s
[CV] c1=0.4047465682558066, c2=0.024420878445861913 ..................
[CV] c1=0.4047465682558066, c2=0.024420878445861913, score=0.799176 - 1.7s
[CV] c1=0.14106027770288562, c2=0.02011348479945861 ..................
[CV] c1=0.14106027770288562, c2=0.02011348479945861, score=0.923027 - 1.6s
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05 ................
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05, score=0.912280 - 1.6s
[CV] c1=0.35697431252186523, c2=0.053072104891904226 .................
[CV] c1=0.35697431252186523, c2=0.053072104891904226, score=0.834170 - 1.6s
[CV] c1=0.45932518333010963, c2=0.05807947207491818 ..................
[CV] c1=0.45932518333010963, c2=0.05807947207491818, score=0.923027 - 1.5s
[CV] c1=0.4047465682558066, c2=0.024420878445861913 ..................
[CV] c1=0.4047465682558066, c2=0.024420878445861913, score=0.921016 - 1.6s
[CV] c1=0.14106027770288562, c2=0.02011348479945861 ..................
[CV] c1=0.14106027770288562, c2=0.02011348479945861, score=0.909289 - 1.5s
[CV] c1=0.4447485859982712, c2=0.0016484083449467537 .................
[CV] c1=0.4447485859982712, c2=0.0016484083449467537, score=0.718722 - 1.6s
[CV] c1=0.2530415538363529, c2=0.01421999529254304 ...................
[CV] c1=0.2530415538363529, c2=0.01421999529254304, score=0.814665 - 1.3s
[CV] c1=0.0706583501364852, c2=0.007766154606045574 ..................
[CV] c1=0.0706583501364852, c2=0.007766154606045574, score=0.823347 - 1.6s
[CV] c1=0.2323716379870112, c2=0.06329296060320068 ...................
[CV] c1=0.2323716379870112, c2=0.06329296060320068, score=0.827976 - 1.8s
[CV] c1=0.08296411755539199, c2=0.02012113673798377 ..................
[CV] c1=0.08296411755539199, c2=0.02012113673798377, score=0.826784 - 2.0s
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05 ................
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05, score=0.734353 - 1.7s
[CV] c1=0.2530415538363529, c2=0.01421999529254304 ...................
[CV] c1=0.2530415538363529, c2=0.01421999529254304, score=0.730238 - 1.5s
[CV] c1=0.0706583501364852, c2=0.007766154606045574 ..................
[CV] c1=0.0706583501364852, c2=0.007766154606045574, score=0.923027 - 1.6s
[CV] c1=0.2323716379870112, c2=0.06329296060320068 ...................
[CV] c1=0.2323716379870112, c2=0.06329296060320068, score=0.794216 - 1.9s
[CV] c1=0.08296411755539199, c2=0.02012113673798377 ..................
[CV] c1=0.08296411755539199, c2=0.02012113673798377, score=0.900463 - 1.9s
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05 ................
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05, score=0.847287 - 1.7s
[CV] c1=0.5383828181005542, c2=0.03841071924486563 ...................
[CV] c1=0.5383828181005542, c2=0.03841071924486563, score=0.719240 - 1.7s
[CV] c1=0.08116859297589825, c2=0.01402217610152598 ..................
[CV] c1=0.08116859297589825, c2=0.01402217610152598, score=0.924709 - 1.6s
[CV] c1=0.4047465682558066, c2=0.024420878445861913 ..................
[CV] c1=0.4047465682558066, c2=0.024420878445861913, score=0.892120 - 1.5s
[CV] c1=0.14106027770288562, c2=0.02011348479945861 ..................
[CV] c1=0.14106027770288562, c2=0.02011348479945861, score=0.741087 - 1.9s
[CV] c1=0.4447485859982712, c2=0.0016484083449467537 .................
[CV] c1=0.4447485859982712, c2=0.0016484083449467537, score=0.865380 - 1.5s
[CV] c1=0.2530415538363529, c2=0.01421999529254304 ...................
[CV] c1=0.2530415538363529, c2=0.01421999529254304, score=0.867165 - 1.7s
[CV] c1=0.0706583501364852, c2=0.007766154606045574 ..................
[CV] c1=0.0706583501364852, c2=0.007766154606045574, score=0.844380 - 1.6s
[CV] c1=0.2323716379870112, c2=0.06329296060320068 ...................
[CV] c1=0.2323716379870112, c2=0.06329296060320068, score=0.865097 - 1.9s
[CV] c1=0.08296411755539199, c2=0.02012113673798377 ..................
[CV] c1=0.08296411755539199, c2=0.02012113673798377, score=0.851303 - 1.8s
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05 ................
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05, score=0.843486 - 1.8s
[CV] c1=0.8497482346216051, c2=0.13810348554922147 ...................
[CV] c1=0.8497482346216051, c2=0.13810348554922147, score=0.747025 - 1.7s
[CV] c1=0.08116859297589825, c2=0.01402217610152598 ..................
[CV] c1=0.08116859297589825, c2=0.01402217610152598, score=0.820019 - 1.6s
[CV] c1=0.2323716379870112, c2=0.06329296060320068 ...................
[CV] c1=0.2323716379870112, c2=0.06329296060320068, score=0.914885 - 1.8s
[CV] c1=0.14106027770288562, c2=0.02011348479945861 ..................
[CV] c1=0.14106027770288562, c2=0.02011348479945861, score=0.899524 - 1.9s
[CV] c1=0.4447485859982712, c2=0.0016484083449467537 .................
[CV] c1=0.4447485859982712, c2=0.0016484083449467537, score=0.923027 - 1.7s
[CV] c1=0.2530415538363529, c2=0.01421999529254304 ...................
[CV] c1=0.2530415538363529, c2=0.01421999529254304, score=0.914885 - 1.6s
[CV] c1=0.0706583501364852, c2=0.007766154606045574 ..................
[CV] c1=0.0706583501364852, c2=0.007766154606045574, score=0.936198 - 1.7s
[CV] c1=0.2323716379870112, c2=0.06329296060320068 ...................
[CV] c1=0.2323716379870112, c2=0.06329296060320068, score=0.820852 - 1.8s
[CV] c1=0.08296411755539199, c2=0.02012113673798377 ..................
[CV] c1=0.08296411755539199, c2=0.02012113673798377, score=0.923229 - 1.8s
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05 ................
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05, score=0.916002 - 1.8s
[CV] c1=0.5383828181005542, c2=0.03841071924486563 ...................
[CV] c1=0.5383828181005542, c2=0.03841071924486563, score=0.843908 - 1.7s
[CV] c1=0.45932518333010963, c2=0.05807947207491818 ..................
[CV] c1=0.45932518333010963, c2=0.05807947207491818, score=0.719240 - 1.7s
[CV] c1=0.6223773708649032, c2=0.007605247773857023 ..................
[CV] c1=0.6223773708649032, c2=0.007605247773857023, score=0.783387 - 1.7s
[CV] c1=0.5404386702330402, c2=0.00940384945509182 ...................
[CV] c1=0.5404386702330402, c2=0.00940384945509182, score=0.718722 - 1.7s
[CV] c1=0.4447485859982712, c2=0.0016484083449467537 .................
[CV] c1=0.4447485859982712, c2=0.0016484083449467537, score=0.816050 - 1.5s
[CV] c1=0.2530415538363529, c2=0.01421999529254304 ...................
[CV] c1=0.2530415538363529, c2=0.01421999529254304, score=0.830456 - 1.7s
[CV] c1=0.0706583501364852, c2=0.007766154606045574 ..................
[CV] c1=0.0706583501364852, c2=0.007766154606045574, score=0.923229 - 1.8s
[CV] c1=0.4047465682558066, c2=0.024420878445861913 ..................
[CV] c1=0.4047465682558066, c2=0.024420878445861913, score=0.797998 - 1.6s
[CV] c1=0.08296411755539199, c2=0.02012113673798377 ..................
[CV] c1=0.08296411755539199, c2=0.02012113673798377, score=0.956017 - 2.0s
[CV] c1=0.4447485859982712, c2=0.0016484083449467537 .................
[CV] c1=0.4447485859982712, c2=0.0016484083449467537, score=0.817424 - 1.6s
[CV] c1=0.2530415538363529, c2=0.01421999529254304 ...................
[CV] c1=0.2530415538363529, c2=0.01421999529254304, score=0.941585 - 1.8s
[CV] c1=0.08116859297589825, c2=0.01402217610152598 ..................
[CV] c1=0.08116859297589825, c2=0.01402217610152598, score=0.733882 - 1.6s
[CV] c1=0.4047465682558066, c2=0.024420878445861913 ..................
[CV] c1=0.4047465682558066, c2=0.024420878445861913, score=0.841027 - 1.8s
[CV] c1=0.14106027770288562, c2=0.02011348479945861 ..................
[CV] c1=0.14106027770288562, c2=0.02011348479945861, score=0.823347 - 1.7s
[CV] c1=0.4447485859982712, c2=0.0016484083449467537 .................
[CV] c1=0.4447485859982712, c2=0.0016484083449467537, score=0.869064 - 1.9s
[CV] c1=0.5383828181005542, c2=0.03841071924486563 ...................
[CV] c1=0.5383828181005542, c2=0.03841071924486563, score=0.799746 - 1.6s
[CV] c1=0.08116859297589825, c2=0.01402217610152598 ..................
[CV] c1=0.08116859297589825, c2=0.01402217610152598, score=0.912280 - 1.5s
[CV] c1=0.4047465682558066, c2=0.024420878445861913 ..................
[CV] c1=0.4047465682558066, c2=0.024420878445861913, score=0.740042 - 1.8s
[CV] c1=0.14106027770288562, c2=0.02011348479945861 ..................
[CV] c1=0.14106027770288562, c2=0.02011348479945861, score=0.862696 - 1.8s
[CV] c1=0.4447485859982712, c2=0.0016484083449467537 .................
[CV] c1=0.4447485859982712, c2=0.0016484083449467537, score=0.946646 - 1.7s
[CV] c1=0.8497482346216051, c2=0.13810348554922147 ...................
[CV] c1=0.8497482346216051, c2=0.13810348554922147, score=0.855838 - 1.6s
[CV] c1=0.08116859297589825, c2=0.01402217610152598 ..................
[CV] c1=0.08116859297589825, c2=0.01402217610152598, score=0.827913 - 1.7s
[CV] c1=0.4047465682558066, c2=0.024420878445861913 ..................
[CV] c1=0.4047465682558066, c2=0.024420878445861913, score=0.922774 - 1.7s
[CV] c1=0.14106027770288562, c2=0.02011348479945861 ..................
[CV] c1=0.14106027770288562, c2=0.02011348479945861, score=0.917968 - 1.8s
[CV] c1=0.4447485859982712, c2=0.0016484083449467537 .................
[CV] c1=0.4447485859982712, c2=0.0016484083449467537, score=0.892120 - 1.6s
[CV] c1=0.8497482346216051, c2=0.13810348554922147 ...................
[CV] c1=0.8497482346216051, c2=0.13810348554922147, score=0.913219 - 1.9s
[CV] c1=0.45932518333010963, c2=0.05807947207491818 ..................
[CV] c1=0.45932518333010963, c2=0.05807947207491818, score=0.799176 - 1.8s
[CV] c1=0.6223773708649032, c2=0.007605247773857023 ..................
[CV] c1=0.6223773708649032, c2=0.007605247773857023, score=0.933588 - 1.7s
[CV] c1=0.5404386702330402, c2=0.00940384945509182 ...................
[CV] c1=0.5404386702330402, c2=0.00940384945509182, score=0.866290 - 1.6s
[CV] c1=0.8168034772987887, c2=0.06477230233366042 ...................
[CV] c1=0.8168034772987887, c2=0.06477230233366042, score=0.723924 - 1.6s
[CV] c1=0.35697431252186523, c2=0.053072104891904226 .................
[CV] c1=0.35697431252186523, c2=0.053072104891904226, score=0.820752 - 1.6s
[CV] c1=0.45932518333010963, c2=0.05807947207491818 ..................
[CV] c1=0.45932518333010963, c2=0.05807947207491818, score=0.816050 - 1.7s
[CV] c1=0.6223773708649032, c2=0.007605247773857023 ..................
[CV] c1=0.6223773708649032, c2=0.007605247773857023, score=0.883328 - 1.7s
[CV] c1=0.5404386702330402, c2=0.00940384945509182 ...................
[CV] c1=0.5404386702330402, c2=0.00940384945509182, score=0.922774 - 1.7s
[CV] c1=0.8168034772987887, c2=0.06477230233366042 ...................
[CV] c1=0.8168034772987887, c2=0.06477230233366042, score=0.843908 - 1.4s
[CV] c1=0.2530415538363529, c2=0.01421999529254304 ...................
[CV] c1=0.2530415538363529, c2=0.01421999529254304, score=0.920107 - 1.7s
[CV] c1=0.0706583501364852, c2=0.007766154606045574 ..................
[CV] c1=0.0706583501364852, c2=0.007766154606045574, score=0.912280 - 1.6s
[CV] c1=0.2323716379870112, c2=0.06329296060320068 ...................
[CV] c1=0.2323716379870112, c2=0.06329296060320068, score=0.920107 - 1.7s
[CV] c1=0.08296411755539199, c2=0.02012113673798377 ..................
[CV] c1=0.08296411755539199, c2=0.02012113673798377, score=0.839590 - 1.8s
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05 ................
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05, score=0.936885 - 1.8s
[CV] c1=0.35697431252186523, c2=0.053072104891904226 .................
[CV] c1=0.35697431252186523, c2=0.053072104891904226, score=0.830598 - 1.7s
[CV] c1=0.3270597884667632, c2=0.010347987464658356 ..................
[CV] c1=0.3270597884667632, c2=0.010347987464658356, score=0.867165 - 1.6s
[CV] c1=0.04937325798482469, c2=0.021347060592283952 .................
[CV] c1=0.04937325798482469, c2=0.021347060592283952, score=0.837807 - 1.6s
[CV] c1=0.5404386702330402, c2=0.00940384945509182 ...................
[CV] c1=0.5404386702330402, c2=0.00940384945509182, score=0.938245 - 1.6s
[CV] c1=0.8168034772987887, c2=0.06477230233366042 ...................
[CV] c1=0.8168034772987887, c2=0.06477230233366042, score=0.922774 - 1.4s
[CV] c1=0.2530415538363529, c2=0.01421999529254304 ...................
[CV] c1=0.2530415538363529, c2=0.01421999529254304, score=0.926210 - 1.3s
[CV] c1=0.0706583501364852, c2=0.007766154606045574 ..................
[CV] c1=0.0706583501364852, c2=0.007766154606045574, score=0.731210 - 1.6s
[CV] c1=0.2323716379870112, c2=0.06329296060320068 ...................
[CV] c1=0.2323716379870112, c2=0.06329296060320068, score=0.824947 - 2.0s
[CV] c1=0.08296411755539199, c2=0.02012113673798377 ..................
[CV] c1=0.08296411755539199, c2=0.02012113673798377, score=0.801005 - 1.9s
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05 ................
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05, score=0.949482 - 1.4s
[CV] c1=0.8497482346216051, c2=0.13810348554922147 ...................
[CV] c1=0.8497482346216051, c2=0.13810348554922147, score=0.929494 - 1.7s
[CV] c1=0.08116859297589825, c2=0.01402217610152598 ..................
[CV] c1=0.08116859297589825, c2=0.01402217610152598, score=0.851303 - 1.6s
[CV] c1=0.4047465682558066, c2=0.024420878445861913 ..................
[CV] c1=0.4047465682558066, c2=0.024420878445861913, score=0.946646 - 1.8s
[CV] c1=0.14106027770288562, c2=0.02011348479945861 ..................
[CV] c1=0.14106027770288562, c2=0.02011348479945861, score=0.851303 - 1.9s
[CV] c1=0.4447485859982712, c2=0.0016484083449467537 .................
[CV] c1=0.4447485859982712, c2=0.0016484083449467537, score=0.926364 - 1.6s
[CV] c1=0.5383828181005542, c2=0.03841071924486563 ...................
[CV] c1=0.5383828181005542, c2=0.03841071924486563, score=0.801762 - 1.7s
[CV] c1=0.45932518333010963, c2=0.05807947207491818 ..................
[CV] c1=0.45932518333010963, c2=0.05807947207491818, score=0.827108 - 1.8s
[CV] c1=0.6223773708649032, c2=0.007605247773857023 ..................
[CV] c1=0.6223773708649032, c2=0.007605247773857023, score=0.784408 - 1.6s
[CV] c1=0.14106027770288562, c2=0.02011348479945861 ..................
[CV] c1=0.14106027770288562, c2=0.02011348479945861, score=0.923229 - 1.8s
[CV] c1=0.8168034772987887, c2=0.06477230233366042 ...................
[CV] c1=0.8168034772987887, c2=0.06477230233366042, score=0.690220 - 1.6s
[CV] c1=0.5383828181005542, c2=0.03841071924486563 ...................
[CV] c1=0.5383828181005542, c2=0.03841071924486563, score=0.936149 - 1.7s
[CV] c1=0.3270597884667632, c2=0.010347987464658356 ..................
[CV] c1=0.3270597884667632, c2=0.010347987464658356, score=0.818102 - 1.7s
[CV] c1=0.6223773708649032, c2=0.007605247773857023 ..................
[CV] c1=0.6223773708649032, c2=0.007605247773857023, score=0.925096 - 1.7s
[CV] c1=0.5404386702330402, c2=0.00940384945509182 ...................
[CV] c1=0.5404386702330402, c2=0.00940384945509182, score=0.816050 - 1.6s
[CV] c1=0.8168034772987887, c2=0.06477230233366042 ...................
[CV] c1=0.8168034772987887, c2=0.06477230233366042, score=0.807845 - 1.4s
[CV] c1=0.5383828181005542, c2=0.03841071924486563 ...................
[CV] c1=0.5383828181005542, c2=0.03841071924486563, score=0.922774 - 1.7s
[CV] c1=0.45932518333010963, c2=0.05807947207491818 ..................
[CV] c1=0.45932518333010963, c2=0.05807947207491818, score=0.866290 - 1.7s
[CV] c1=0.6223773708649032, c2=0.007605247773857023 ..................
[CV] c1=0.6223773708649032, c2=0.007605247773857023, score=0.718722 - 1.7s
[CV] c1=0.5404386702330402, c2=0.00940384945509182 ...................
[CV] c1=0.5404386702330402, c2=0.00940384945509182, score=0.799176 - 1.7s
[CV] c1=0.8168034772987887, c2=0.06477230233366042 ...................
[CV] c1=0.8168034772987887, c2=0.06477230233366042, score=0.765595 - 1.4s
[CV] c1=0.5383828181005542, c2=0.03841071924486563 ...................
[CV] c1=0.5383828181005542, c2=0.03841071924486563, score=0.816050 - 1.7s
[CV] c1=0.45932518333010963, c2=0.05807947207491818 ..................
[CV] c1=0.45932518333010963, c2=0.05807947207491818, score=0.921016 - 1.6s
[CV] c1=0.6223773708649032, c2=0.007605247773857023 ..................
[CV] c1=0.6223773708649032, c2=0.007605247773857023, score=0.922774 - 1.5s
[CV] c1=0.5404386702330402, c2=0.00940384945509182 ...................
[CV] c1=0.5404386702330402, c2=0.00940384945509182, score=0.792619 - 1.8s
[CV] c1=0.8168034772987887, c2=0.06477230233366042 ...................
[CV] c1=0.8168034772987887, c2=0.06477230233366042, score=0.799176 - 1.6s
[CV] c1=0.5383828181005542, c2=0.03841071924486563 ...................
[CV] c1=0.5383828181005542, c2=0.03841071924486563, score=0.880765 - 1.6s
[CV] c1=0.45932518333010963, c2=0.05807947207491818 ..................
[CV] c1=0.45932518333010963, c2=0.05807947207491818, score=0.946646 - 1.8s
[CV] c1=0.04937325798482469, c2=0.021347060592283952 .................
[CV] c1=0.04937325798482469, c2=0.021347060592283952, score=0.902567 - 1.8s
[CV] c1=0.3444576411414005, c2=0.0178963036693645 ....................
[CV] c1=0.3444576411414005, c2=0.0178963036693645, score=0.820752 - 1.5s
[CV] c1=0.8168034772987887, c2=0.06477230233366042 ...................
[CV] c1=0.8168034772987887, c2=0.06477230233366042, score=0.870314 - 1.5s
[CV] c1=0.5383828181005542, c2=0.03841071924486563 ...................
[CV] c1=0.5383828181005542, c2=0.03841071924486563, score=0.799176 - 1.9s
[CV] c1=0.3270597884667632, c2=0.010347987464658356 ..................
[CV] c1=0.3270597884667632, c2=0.010347987464658356, score=0.839427 - 1.8s
[CV] c1=0.04937325798482469, c2=0.021347060592283952 .................
[CV] c1=0.04937325798482469, c2=0.021347060592283952, score=0.818335 - 1.7s
[CV] c1=0.3444576411414005, c2=0.0178963036693645 ....................
[CV] c1=0.3444576411414005, c2=0.0178963036693645, score=0.794216 - 1.5s
[CV] c1=0.8168034772987887, c2=0.06477230233366042 ...................
[CV] c1=0.8168034772987887, c2=0.06477230233366042, score=0.943466 - 1.4s
[CV] c1=0.8497482346216051, c2=0.13810348554922147 ...................
[CV] c1=0.8497482346216051, c2=0.13810348554922147, score=0.683743 - 1.8s
[CV] c1=0.08116859297589825, c2=0.01402217610152598 ..................
[CV] c1=0.08116859297589825, c2=0.01402217610152598, score=0.936198 - 2.0s
[CV] c1=0.6223773708649032, c2=0.007605247773857023 ..................
[CV] c1=0.6223773708649032, c2=0.007605247773857023, score=0.816050 - 1.7s
[CV] c1=0.5404386702330402, c2=0.00940384945509182 ...................
[CV] c1=0.5404386702330402, c2=0.00940384945509182, score=0.880765 - 1.6s
[CV] c1=0.8168034772987887, c2=0.06477230233366042 ...................
[CV] c1=0.8168034772987887, c2=0.06477230233366042, score=0.901751 - 1.6s
[CV] c1=0.35697431252186523, c2=0.053072104891904226 .................
[CV] c1=0.35697431252186523, c2=0.053072104891904226, score=0.794216 - 1.7s
[CV] c1=0.3270597884667632, c2=0.010347987464658356 ..................
[CV] c1=0.3270597884667632, c2=0.010347987464658356, score=0.922774 - 1.6s
[CV] c1=0.04937325798482469, c2=0.021347060592283952 .................
[CV] c1=0.04937325798482469, c2=0.021347060592283952, score=0.769157 - 1.7s
[CV] c1=0.5404386702330402, c2=0.00940384945509182 ...................
[CV] c1=0.5404386702330402, c2=0.00940384945509182, score=0.925096 - 1.7s
[CV] c1=0.649548584923434, c2=0.09611048012847326 ....................
[CV] c1=0.649548584923434, c2=0.09611048012847326, score=0.728530 - 1.5s
[CV] c1=0.8497482346216051, c2=0.13810348554922147 ...................
[CV] c1=0.8497482346216051, c2=0.13810348554922147, score=0.887115 - 1.8s
[CV] c1=0.45932518333010963, c2=0.05807947207491818 ..................
[CV] c1=0.45932518333010963, c2=0.05807947207491818, score=0.803184 - 1.8s
[CV] c1=0.6223773708649032, c2=0.007605247773857023 ..................
[CV] c1=0.6223773708649032, c2=0.007605247773857023, score=0.799176 - 1.9s
[CV] c1=0.3444576411414005, c2=0.0178963036693645 ....................
[CV] c1=0.3444576411414005, c2=0.0178963036693645, score=0.841965 - 1.9s
[CV] c1=0.649548584923434, c2=0.09611048012847326 ....................
[CV] c1=0.649548584923434, c2=0.09611048012847326, score=0.922774 - 1.3s
[CV] c1=0.35697431252186523, c2=0.053072104891904226 .................
[CV] c1=0.35697431252186523, c2=0.053072104891904226, score=0.922774 - 1.6s
[CV] c1=0.3270597884667632, c2=0.010347987464658356 ..................
[CV] c1=0.3270597884667632, c2=0.010347987464658356, score=0.714606 - 1.7s
[CV] c1=0.04937325798482469, c2=0.021347060592283952 .................
[CV] c1=0.04937325798482469, c2=0.021347060592283952, score=0.900463 - 1.7s
[CV] c1=0.3444576411414005, c2=0.0178963036693645 ....................
[CV] c1=0.3444576411414005, c2=0.0178963036693645, score=0.922774 - 1.6s
[CV] c1=0.649548584923434, c2=0.09611048012847326 ....................
[CV] c1=0.649548584923434, c2=0.09611048012847326, score=0.799176 - 1.4s
[CV] c1=0.35697431252186523, c2=0.053072104891904226 .................
[CV] c1=0.35697431252186523, c2=0.053072104891904226, score=0.950725 - 1.8s
[CV] c1=0.3270597884667632, c2=0.010347987464658356 ..................
[CV] c1=0.3270597884667632, c2=0.010347987464658356, score=0.916139 - 1.7s
[CV] c1=0.04937325798482469, c2=0.021347060592283952 .................
[CV] c1=0.04937325798482469, c2=0.021347060592283952, score=0.923229 - 1.8s
[CV] c1=0.3444576411414005, c2=0.0178963036693645 ....................
[CV] c1=0.3444576411414005, c2=0.0178963036693645, score=0.820852 - 1.7s
[CV] c1=0.649548584923434, c2=0.09611048012847326 ....................
[CV] c1=0.649548584923434, c2=0.09611048012847326, score=0.928279 - 1.3s
[CV] c1=0.2530415538363529, c2=0.01421999529254304 ...................
[CV] c1=0.2530415538363529, c2=0.01421999529254304, score=0.923027 - 1.2s
[CV] c1=0.0706583501364852, c2=0.007766154606045574 ..................
[CV] c1=0.0706583501364852, c2=0.007766154606045574, score=0.909646 - 1.8s
[CV] c1=0.2323716379870112, c2=0.06329296060320068 ...................
[CV] c1=0.2323716379870112, c2=0.06329296060320068, score=0.742060 - 1.7s
[CV] c1=0.08296411755539199, c2=0.02012113673798377 ..................
[CV] c1=0.08296411755539199, c2=0.02012113673798377, score=0.733882 - 1.6s
[CV] c1=0.3444576411414005, c2=0.0178963036693645 ....................
[CV] c1=0.3444576411414005, c2=0.0178963036693645, score=0.921016 - 1.7s
[CV] c1=0.649548584923434, c2=0.09611048012847326 ....................
[CV] c1=0.649548584923434, c2=0.09611048012847326, score=0.856402 - 1.3s
[CV] c1=0.35697431252186523, c2=0.053072104891904226 .................
[CV] c1=0.35697431252186523, c2=0.053072104891904226, score=0.884935 - 1.7s
[CV] c1=0.3270597884667632, c2=0.010347987464658356 ..................
[CV] c1=0.3270597884667632, c2=0.010347987464658356, score=0.946646 - 1.9s
[CV] c1=0.04937325798482469, c2=0.021347060592283952 .................
[CV] c1=0.04937325798482469, c2=0.021347060592283952, score=0.924267 - 1.6s
[CV] c1=0.3444576411414005, c2=0.0178963036693645 ....................
[CV] c1=0.3444576411414005, c2=0.0178963036693645, score=0.865380 - 1.8s
[CV] c1=0.649548584923434, c2=0.09611048012847326 ....................
[CV] c1=0.649548584923434, c2=0.09611048012847326, score=0.824874 - 1.4s
[CV] c1=0.35697431252186523, c2=0.053072104891904226 .................
[CV] c1=0.35697431252186523, c2=0.053072104891904226, score=0.719240 - 1.7s
[CV] c1=0.3270597884667632, c2=0.010347987464658356 ..................
[CV] c1=0.3270597884667632, c2=0.010347987464658356, score=0.794216 - 1.9s
[CV] c1=0.04937325798482469, c2=0.021347060592283952 .................
[CV] c1=0.04937325798482469, c2=0.021347060592283952, score=0.837271 - 1.8s
[CV] c1=0.3444576411414005, c2=0.0178963036693645 ....................
[CV] c1=0.3444576411414005, c2=0.0178963036693645, score=0.946646 - 1.9s
[CV] c1=0.649548584923434, c2=0.09611048012847326 ....................
[CV] c1=0.649548584923434, c2=0.09611048012847326, score=0.932069 - 1.2s
[CV] c1=0.35697431252186523, c2=0.053072104891904226 .................
[CV] c1=0.35697431252186523, c2=0.053072104891904226, score=0.816050 - 1.7s
[CV] c1=0.3270597884667632, c2=0.010347987464658356 ..................
[CV] c1=0.3270597884667632, c2=0.010347987464658356, score=0.830113 - 1.8s
[CV] c1=0.04937325798482469, c2=0.021347060592283952 .................
[CV] c1=0.04937325798482469, c2=0.021347060592283952, score=0.851303 - 1.7s
[CV] c1=0.3444576411414005, c2=0.0178963036693645 ....................
[CV] c1=0.3444576411414005, c2=0.0178963036693645, score=0.920107 - 1.8s
[CV] c1=0.649548584923434, c2=0.09611048012847326 ....................
[CV] c1=0.649548584923434, c2=0.09611048012847326, score=0.816050 - 1.2s
[CV] c1=0.8497482346216051, c2=0.13810348554922147 ...................
[CV] c1=0.8497482346216051, c2=0.13810348554922147, score=0.807845 - 1.6s
[CV] c1=0.08116859297589825, c2=0.01402217610152598 ..................
[CV] c1=0.08116859297589825, c2=0.01402217610152598, score=0.923027 - 1.4s
[CV] c1=0.2323716379870112, c2=0.06329296060320068 ...................
[CV] c1=0.2323716379870112, c2=0.06329296060320068, score=0.946103 - 1.8s
[CV] c1=0.08296411755539199, c2=0.02012113673798377 ..................
[CV] c1=0.08296411755539199, c2=0.02012113673798377, score=0.924267 - 1.5s
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05 ................
[CV] c1=0.07448098504603347, c2=9.667953584900881e-05, score=0.837553 - 1.7s
[CV] c1=0.8497482346216051, c2=0.13810348554922147 ...................
[CV] c1=0.8497482346216051, c2=0.13810348554922147, score=0.804464 - 1.6s
[CV] c1=0.08116859297589825, c2=0.01402217610152598 ..................
[CV] c1=0.08116859297589825, c2=0.01402217610152598, score=0.909646 - 1.8s
[CV] c1=0.4047465682558066, c2=0.024420878445861913 ..................
[CV] c1=0.4047465682558066, c2=0.024420878445861913, score=0.865380 - 1.6s
[CV] c1=0.14106027770288562, c2=0.02011348479945861 ..................
[CV] c1=0.14106027770288562, c2=0.02011348479945861, score=0.805596 - 1.8s
[CV] c1=0.4447485859982712, c2=0.0016484083449467537 .................
[CV] c1=0.4447485859982712, c2=0.0016484083449467537, score=0.794216 - 1.8s
[CV] c1=0.5383828181005542, c2=0.03841071924486563 ...................
[CV] c1=0.5383828181005542, c2=0.03841071924486563, score=0.946646 - 1.7s
[CV] c1=0.45932518333010963, c2=0.05807947207491818 ..................
[CV] c1=0.45932518333010963, c2=0.05807947207491818, score=0.884120 - 1.7s
[CV] c1=0.6223773708649032, c2=0.007605247773857023 ..................
[CV] c1=0.6223773708649032, c2=0.007605247773857023, score=0.880765 - 1.9s
[CV] c1=0.3444576411414005, c2=0.0178963036693645 ....................
[CV] c1=0.3444576411414005, c2=0.0178963036693645, score=0.734741 - 1.6s
[CV] c1=0.649548584923434, c2=0.09611048012847326 ....................
[CV] c1=0.649548584923434, c2=0.09611048012847326, score=0.774513 - 1.2s
Training done in: 11.158256s
Saving training model...
Saving training model done in: 0.014234s
*********************************
Prediction done in: 0.048239s