10559435
8323
Heinrich Peters
3903
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8270341
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
memory
null
17494
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
17494
verbose
false
17494
C
46.788246427351616
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.13107843563457378
17495
decision_function_shape
"ovr"
17495
degree
1
17495
gamma
0.008203897230265251
17495
kernel
"rbf"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
1050
pc3
https://www.openml.org/data/download/53933/pc3.arff
-1
22043835
description
https://api.openml.org/data/download/22043835/description.xml
-1
22043836
predictions
https://api.openml.org/data/download/22043836/predictions.arff
area_under_roc_curve
0.7162375267284391 [0.716238,0.716238]
average_cost
0
f_measure
0.8557479629783147 [0.944369,0.078652]
kappa
0.059173291638221624
kb_relative_information_score
-0.03896343509149138
mean_absolute_error
0.17442142816513515
mean_prior_absolute_error
0.1841804999396983
weighted_recall
0.8950735764555342 [0.99216,0.04375]
number_of_instances
1563 [1403,160]
precision
0.8485504530675319 [0.900971,0.388889]
predictive_accuracy
0.8950735764555343
prior_entropy
0.47645699262891783
relative_absolute_error
0.947013544985716
root_mean_prior_squared_error
0.30313107457396465
root_mean_squared_error
0.2959684859054213
root_relative_squared_error
0.9763713150207052
total_cost
0
unweighted_recall
0.51795482893799 [0.99216,0.04375]
area_under_roc_curve
0.5301418439716311 [0.530142,0.530142]
area_under_roc_curve
0.8271276595744681 [0.827128,0.827128]
area_under_roc_curve
0.8395390070921984 [0.839539,0.839539]
area_under_roc_curve
0.7607142857142858 [0.760714,0.760714]
area_under_roc_curve
0.8040178571428571 [0.804018,0.804018]
area_under_roc_curve
0.7029017857142856 [0.702902,0.702902]
area_under_roc_curve
0.6598214285714286 [0.659821,0.659821]
area_under_roc_curve
0.6651785714285714 [0.665179,0.665179]
area_under_roc_curve
0.728125 [0.728125,0.728125]
area_under_roc_curve
0.7569196428571429 [0.75692,0.75692]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.8466833944540951 [0.942761,0]
f_measure
0.8570623362898231 [0.942373,0.105263]
f_measure
0.8599918599918599 [0.945578,0.111111]
f_measure
0.8599918599918599 [0.945578,0.111111]
f_measure
0.8730845228060965 [0.948805,0.210526]
f_measure
0.8457192524989134 [0.942373,0]
f_measure
0.8424908424908426 [0.938776,0]
f_measure
0.8687741482262029 [0.945205,0.2]
kappa
-0.012135001896094247
kappa
0
kappa
0.0755109109802567
kappa
0.09037900874635584
kappa
0
kappa
0.09037900874635584
kappa
0.18410041841004185
kappa
-0.012213740458014988
kappa
-0.023323615160350305
kappa
0.16577540106951896
kb_relative_information_score
-0.11806832134477474
kb_relative_information_score
0.07197126949709179
kb_relative_information_score
-0.05319686803830799
kb_relative_information_score
0.04601734305653687
kb_relative_information_score
-0.003164170474245391
kb_relative_information_score
0.010215405316835326
kb_relative_information_score
-0.025727439272792994
kb_relative_information_score
-0.11338903236398189
kb_relative_information_score
-0.10555416311446987
kb_relative_information_score
-0.09877540482615833
mean_absolute_error
0.17483351743652678
mean_absolute_error
0.17011158329503606
mean_absolute_error
0.1807767708806639
mean_absolute_error
0.16739854217997574
mean_absolute_error
0.17059383894482372
mean_absolute_error
0.16855793949420741
mean_absolute_error
0.1715750117442782
mean_absolute_error
0.1850702458258625
mean_absolute_error
0.1772691024117847
mean_absolute_error
0.17801197567462315
mean_prior_absolute_error
0.18381799312183292
mean_prior_absolute_error
0.18381799312183292
mean_prior_absolute_error
0.18381799312183292
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
mean_prior_absolute_error
0.18433685590235094
number_of_instances
157 [141,16]
number_of_instances
157 [141,16]
number_of_instances
157 [141,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
number_of_instances
156 [140,16]
precision
0.8059774620284175 [0.897436,0]
precision
0.8445832299335485 [0.902597,0.333333]
precision
0.8613053613053614 [0.902597,0.5]
precision
0.8613053613053614 [0.902597,0.5]
precision
0.8836936483995308 [0.908497,0.666667]
precision
0.80479735318445 [0.896774,0]
precision
0.8041958041958042 [0.896104,0]
precision
0.8660593792172739 [0.907895,0.5]
predictive_accuracy
0.89171974522293
predictive_accuracy
0.8980891719745223
predictive_accuracy
0.89171974522293
predictive_accuracy
0.8974358974358974
predictive_accuracy
0.8974358974358974
predictive_accuracy
0.8974358974358974
predictive_accuracy
0.9038461538461539
predictive_accuracy
0.891025641025641
predictive_accuracy
0.8846153846153847
predictive_accuracy
0.8974358974358974
prior_entropy
0.47503096657936333
prior_entropy
0.47503096657936333
prior_entropy
0.47503096657936333
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
prior_entropy
0.4770720643041321
relative_absolute_error
0.9511229802223372
relative_absolute_error
0.9254348848335409
relative_absolute_error
0.9834552527229838
relative_absolute_error
0.9081121697586729
relative_absolute_error
0.925446179006073
relative_absolute_error
0.9144017275823447
relative_absolute_error
0.9307688953703697
relative_absolute_error
1.0039785311511447
relative_absolute_error
0.9616584895301119
relative_absolute_error
0.9656884663852665
root_mean_prior_squared_error
0.30253254627312504
root_mean_prior_squared_error
0.30253254627312504
root_mean_prior_squared_error
0.30253254627312504
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_prior_squared_error
0.30338886653108843
root_mean_squared_error
0.3043901405972114
root_mean_squared_error
0.28550654886695614
root_mean_squared_error
0.29575829141259
root_mean_squared_error
0.2795568900053733
root_mean_squared_error
0.29455128889165283
root_mean_squared_error
0.291884188955189
root_mean_squared_error
0.28693644777794974
root_mean_squared_error
0.30727579265985905
root_mean_squared_error
0.3116513796843473
root_mean_squared_error
0.3005895850766936
root_relative_squared_error
1.006140147058457
root_relative_squared_error
0.9437217660846384
root_relative_squared_error
0.9776081782142565
root_relative_squared_error
0.9214474255492396
root_relative_squared_error
0.9708704615944436
root_relative_squared_error
0.9620794338716427
root_relative_squared_error
0.945771184878161
root_relative_squared_error
1.0128116966624823
root_relative_squared_error
1.0272340684341237
root_relative_squared_error
0.9907732887946697
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.49645390070921985 [0.992908,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5241578014184397 [0.985816,0.0625]
unweighted_recall
0.5276785714285714 [0.992857,0.0625]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5276785714285714 [0.992857,0.0625]
unweighted_recall
0.5589285714285714 [0.992857,0.125]
unweighted_recall
0.49642857142857144 [0.992857,0]
unweighted_recall
0.4928571428571429 [0.985714,0]
unweighted_recall
0.5553571428571429 [0.985714,0.125]
usercpu_time_millis
483.9000000000624
usercpu_time_millis
502.37400000003163
usercpu_time_millis
491.90800000002355
usercpu_time_millis
483.51800000000367
usercpu_time_millis
480.542000000014
usercpu_time_millis
485.3259999999864
usercpu_time_millis
468.88400000000274
usercpu_time_millis
489.04000000004544
usercpu_time_millis
486.31799999998293
usercpu_time_millis
485.21600000003673
usercpu_time_millis_testing
5.210000000033688
usercpu_time_millis_testing
7.852000000013959
usercpu_time_millis_testing
4.9640000000295
usercpu_time_millis_testing
5.593999999973676
usercpu_time_millis_testing
5.174000000010892
usercpu_time_millis_testing
5.255999999974392
usercpu_time_millis_testing
6.280000000003838
usercpu_time_millis_testing
5.19200000002229
usercpu_time_millis_testing
5.0979999999754
usercpu_time_millis_testing
5.346000000031381
usercpu_time_millis_training
478.6900000000287
usercpu_time_millis_training
494.52200000001767
usercpu_time_millis_training
486.94399999999405
usercpu_time_millis_training
477.92400000003
usercpu_time_millis_training
475.3680000000031
usercpu_time_millis_training
480.070000000012
usercpu_time_millis_training
462.6039999999989
usercpu_time_millis_training
483.84800000002315
usercpu_time_millis_training
481.22000000000753
usercpu_time_millis_training
479.87000000000535
wall_clock_time_millis
249.6199607849121
wall_clock_time_millis
257.59172439575195
wall_clock_time_millis
265.35511016845703
wall_clock_time_millis
267.7927017211914
wall_clock_time_millis
269.5338726043701
wall_clock_time_millis
263.2322311401367
wall_clock_time_millis
245.16010284423828
wall_clock_time_millis
268.5544490814209
wall_clock_time_millis
267.30847358703613
wall_clock_time_millis
261.7940902709961
wall_clock_time_millis_testing
2.6068687438964844
wall_clock_time_millis_testing
4.378795623779297
wall_clock_time_millis_testing
2.485036849975586
wall_clock_time_millis_testing
3.046751022338867
wall_clock_time_millis_testing
2.610921859741211
wall_clock_time_millis_testing
2.6302337646484375
wall_clock_time_millis_testing
4.1179656982421875
wall_clock_time_millis_testing
2.6082992553710938
wall_clock_time_millis_testing
2.573251724243164
wall_clock_time_millis_testing
2.6879310607910156
wall_clock_time_millis_training
247.01309204101562
wall_clock_time_millis_training
253.21292877197266
wall_clock_time_millis_training
262.87007331848145
wall_clock_time_millis_training
264.74595069885254
wall_clock_time_millis_training
266.9229507446289
wall_clock_time_millis_training
260.6019973754883
wall_clock_time_millis_training
241.0421371459961
wall_clock_time_millis_training
265.9461498260498
wall_clock_time_millis_training
264.73522186279297
wall_clock_time_millis_training
259.1061592102051
weighted_recall
0.89171974522293 [0.992908,0]
weighted_recall
0.8980891719745223 [1,0]
weighted_recall
0.89171974522293 [0.985816,0.0625]
weighted_recall
0.8974358974358975 [0.992857,0.0625]
weighted_recall
0.8974358974358975 [1,0]
weighted_recall
0.8974358974358975 [0.992857,0.0625]
weighted_recall
0.9038461538461539 [0.992857,0.125]
weighted_recall
0.8910256410256411 [0.992857,0]
weighted_recall
0.8846153846153846 [0.985714,0]
weighted_recall
0.8974358974358975 [0.985714,0.125]