10558150
8323
Heinrich Peters
9910
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275904
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
C
0.01
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
10000
17462
multi_class
"auto"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"lbfgs"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
memory
null
18591
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": "logisticregression", "step_name": "logisticregression"}}]
18591
verbose
false
18591
openml-python
Sklearn_0.21.2.
4134
Bioresponse
https://www.openml.org/data/download/1681097/phpSSK7iA
-1
22041260
description
https://api.openml.org/data/download/22041260/description.xml
-1
22041261
predictions
https://api.openml.org/data/download/22041261/predictions.arff
area_under_roc_curve
0.8363688008571811 [0.836369,0.836369]
average_cost
0
f_measure
0.7689686839849779 [0.743095,0.79081]
kappa
0.5340551333471292
kb_relative_information_score
0.4243756961674317
mean_absolute_error
0.2975606719026615
mean_prior_absolute_error
0.4964308656158626
weighted_recall
0.7693948280458545 [0.728596,0.803835]
number_of_instances
3751 [1717,2034]
precision
0.7690372499112088 [0.758182,0.778201]
predictive_accuracy
0.7693948280458544
prior_entropy
0.9948419333531207
relative_absolute_error
0.5994000222639531
root_mean_prior_squared_error
0.4982112822885347
root_mean_squared_error
0.40496177149284657
root_relative_squared_error
0.8128313948103577
total_cost
0
unweighted_recall
0.7662155986551284 [0.728596,0.803835]
area_under_roc_curve
0.8317658458732329 [0.831766,0.831766]
area_under_roc_curve
0.8429659754840187 [0.842966,0.842966]
area_under_roc_curve
0.8503837782105627 [0.850384,0.850384]
area_under_roc_curve
0.8610379195784168 [0.861038,0.861038]
area_under_roc_curve
0.8193378393859548 [0.819338,0.819338]
area_under_roc_curve
0.8334574407148584 [0.833457,0.833457]
area_under_roc_curve
0.819022797571314 [0.819023,0.819023]
area_under_roc_curve
0.8306960210984977 [0.830696,0.830696]
area_under_roc_curve
0.8533711730306157 [0.853371,0.853371]
area_under_roc_curve
0.8213220960898979 [0.821322,0.821322]
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
0.7658439473532472 [0.74269,0.785366]
f_measure
0.7620521009410777 [0.734328,0.785542]
f_measure
0.7638359378014431 [0.730061,0.792453]
f_measure
0.8082876219825372 [0.79661,0.818182]
f_measure
0.7565259648137347 [0.726727,0.781775]
f_measure
0.7628871279299365 [0.744986,0.778055]
f_measure
0.7638359378014431 [0.730061,0.792453]
f_measure
0.7590649350649352 [0.727273,0.785714]
f_measure
0.7942531199424563 [0.770149,0.814458]
f_measure
0.751661448042477 [0.724036,0.774818]
kappa
0.5280693747147421
kappa
0.5201501013615517
kappa
0.523630799434131
kappa
0.6150665792250009
kappa
0.5089292138550315
kappa
0.523125723348622
kappa
0.523630799434131
kappa
0.5134924753502854
kappa
0.5847534406143491
kappa
0.49894401103400715
kb_relative_information_score
0.40508396202222025
kb_relative_information_score
0.4192996455557564
kb_relative_information_score
0.43756564803258585
kb_relative_information_score
0.455269761779637
kb_relative_information_score
0.4081169141015997
kb_relative_information_score
0.4144108255102359
kb_relative_information_score
0.4176102729375086
kb_relative_information_score
0.4171136641471589
kb_relative_information_score
0.4625659347788894
kb_relative_information_score
0.4067747096347455
mean_absolute_error
0.3083552370891554
mean_absolute_error
0.3007307715696423
mean_absolute_error
0.2908659253770595
mean_absolute_error
0.2841147857495241
mean_absolute_error
0.30458763808157535
mean_absolute_error
0.3026826761625089
mean_absolute_error
0.29956991184753073
mean_absolute_error
0.300563223419032
mean_absolute_error
0.27968272156355833
mean_absolute_error
0.30442504265986214
mean_prior_absolute_error
0.4964057123095849
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4962835065281108
mean_prior_absolute_error
0.4962835065281108
mean_prior_absolute_error
0.4962835065281108
number_of_instances
376 [172,204]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [171,204]
number_of_instances
375 [171,204]
number_of_instances
375 [171,204]
precision
0.765773965029102 [0.747059,0.781553]
precision
0.7623242659258402 [0.754601,0.768868]
precision
0.7659355546414369 [0.772727,0.760181]
precision
0.8097240790297786 [0.774725,0.839378]
precision
0.7570362028598518 [0.751553,0.761682]
precision
0.7633788734805684 [0.734463,0.787879]
precision
0.7659355546414369 [0.772727,0.760181]
precision
0.759706498951782 [0.754717,0.763889]
precision
0.7943985666396948 [0.786585,0.800948]
precision
0.7515918602640227 [0.73494,0.76555]
predictive_accuracy
0.7659574468085107
predictive_accuracy
0.7626666666666666
predictive_accuracy
0.7653333333333333
predictive_accuracy
0.8079999999999999
predictive_accuracy
0.7573333333333333
predictive_accuracy
0.7626666666666666
predictive_accuracy
0.7653333333333333
predictive_accuracy
0.76
predictive_accuracy
0.7946666666666666
predictive_accuracy
0.752
prior_entropy
0.9947691829105159
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.994415729388281
prior_entropy
0.994415729388281
prior_entropy
0.994415729388281
relative_absolute_error
0.6211758435544528
relative_absolute_error
0.6056907807643462
relative_absolute_error
0.5858223570532664
relative_absolute_error
0.5722251351570558
relative_absolute_error
0.6134587536815296
relative_absolute_error
0.609622039978893
relative_absolute_error
0.6033527359152151
relative_absolute_error
0.6056280723929465
relative_absolute_error
0.5635543351423393
relative_absolute_error
0.6134095504997782
root_mean_prior_squared_error
0.4981860380352768
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4980633721845164
root_mean_prior_squared_error
0.4980633721845164
root_mean_prior_squared_error
0.4980633721845164
root_mean_squared_error
0.4076910332669312
root_mean_squared_error
0.3997166192699968
root_mean_squared_error
0.3955458593011327
root_mean_squared_error
0.38649452915258564
root_mean_squared_error
0.41500443467134546
root_mean_squared_error
0.4077550595175157
root_mean_squared_error
0.4184083662530267
root_mean_squared_error
0.40957176131373074
root_mean_squared_error
0.390914321380709
root_mean_squared_error
0.41712478031862626
root_relative_squared_error
0.8183509816428505
root_relative_squared_error
0.8021775863770393
root_relative_squared_error
0.7938074311123128
root_relative_squared_error
0.7756426267933841
root_relative_squared_error
0.83285817924813
root_relative_squared_error
0.8183096566616506
root_relative_squared_error
0.8396894128990412
root_relative_squared_error
0.8223286115526632
root_relative_squared_error
0.7848686396394712
root_relative_squared_error
0.8374933866128486
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
0.7637938896488827 [0.738372,0.789216]
unweighted_recall
0.7590359720471991 [0.715116,0.802956]
unweighted_recall
0.7597233360064154 [0.69186,0.827586]
unweighted_recall
0.8088984992553557 [0.819767,0.79803]
unweighted_recall
0.753222018558827 [0.703488,0.802956]
unweighted_recall
0.7621434299461565 [0.755814,0.768473]
unweighted_recall
0.7597233360064154 [0.69186,0.827586]
unweighted_recall
0.7552889576883385 [0.701754,0.808824]
unweighted_recall
0.7914086687306502 [0.754386,0.828431]
unweighted_recall
0.7488820089439284 [0.71345,0.784314]
usercpu_time_millis
2204.6080000000075
usercpu_time_millis
2172.5419999966107
usercpu_time_millis
2320.7000000002154
usercpu_time_millis
2173.2279999996535
usercpu_time_millis
2108.2600000008824
usercpu_time_millis
2144.9780000002647
usercpu_time_millis
2024.0099999973609
usercpu_time_millis
2152.5560000045516
usercpu_time_millis
1983.940000001894
usercpu_time_millis
2499.2499999971187
usercpu_time_millis_testing
33.73999999894295
usercpu_time_millis_testing
33.90999999828637
usercpu_time_millis_testing
30.985999997938052
usercpu_time_millis_testing
40.53600000042934
usercpu_time_millis_testing
40.160000000469154
usercpu_time_millis_testing
30.311999998957617
usercpu_time_millis_testing
32.49399999913294
usercpu_time_millis_testing
32.18200000264915
usercpu_time_millis_testing
33.60600000087288
usercpu_time_millis_testing
43.59399999884772
usercpu_time_millis_training
2170.8680000010645
usercpu_time_millis_training
2138.6319999983243
usercpu_time_millis_training
2289.7140000022773
usercpu_time_millis_training
2132.691999999224
usercpu_time_millis_training
2068.1000000004133
usercpu_time_millis_training
2114.666000001307
usercpu_time_millis_training
1991.515999998228
usercpu_time_millis_training
2120.3740000019025
usercpu_time_millis_training
1950.3340000010212
usercpu_time_millis_training
2455.655999998271
wall_clock_time_millis
1190.2070045471191
wall_clock_time_millis
999.7987747192383
wall_clock_time_millis
989.4969463348389
wall_clock_time_millis
898.291826248169
wall_clock_time_millis
873.4712600708008
wall_clock_time_millis
864.9897575378418
wall_clock_time_millis
843.2717323303223
wall_clock_time_millis
937.6227855682373
wall_clock_time_millis
807.0781230926514
wall_clock_time_millis
1111.5422248840332
wall_clock_time_millis_testing
15.733957290649414
wall_clock_time_millis_testing
11.450767517089844
wall_clock_time_millis_testing
9.855985641479492
wall_clock_time_millis_testing
12.950897216796875
wall_clock_time_millis_testing
12.430191040039062
wall_clock_time_millis_testing
8.693695068359375
wall_clock_time_millis_testing
9.155988693237305
wall_clock_time_millis_testing
9.331941604614258
wall_clock_time_millis_testing
14.715194702148438
wall_clock_time_millis_testing
14.154195785522461
wall_clock_time_millis_training
1174.4730472564697
wall_clock_time_millis_training
988.3480072021484
wall_clock_time_millis_training
979.6409606933594
wall_clock_time_millis_training
885.3409290313721
wall_clock_time_millis_training
861.0410690307617
wall_clock_time_millis_training
856.2960624694824
wall_clock_time_millis_training
834.115743637085
wall_clock_time_millis_training
928.290843963623
wall_clock_time_millis_training
792.3629283905029
wall_clock_time_millis_training
1097.3880290985107
weighted_recall
0.7659574468085106 [0.738372,0.789216]
weighted_recall
0.7626666666666667 [0.715116,0.802956]
weighted_recall
0.7653333333333333 [0.69186,0.827586]
weighted_recall
0.808 [0.819767,0.79803]
weighted_recall
0.7573333333333333 [0.703488,0.802956]
weighted_recall
0.7626666666666667 [0.755814,0.768473]
weighted_recall
0.7653333333333333 [0.69186,0.827586]
weighted_recall
0.76 [0.701754,0.808824]
weighted_recall
0.7946666666666666 [0.754386,0.828431]
weighted_recall
0.752 [0.71345,0.784314]