10558928
8323
Heinrich Peters
146195
Supervised Classification
18608
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275898
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"most_frequent"
17407
verbose
0
17407
categorical_features
null
17408
categories
null
17408
drop
null
17408
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
17408
handle_unknown
"ignore"
17408
n_values
null
17408
sparse
true
17408
C
0.1
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
18608
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}]
18608
verbose
false
18608
openml-python
Sklearn_0.21.2.
40668
connect-4
https://www.openml.org/data/download/4965243/connect-4.arff
-1
22042820
description
https://api.openml.org/data/download/22042820/description.xml
-1
22042821
predictions
https://api.openml.org/data/download/22042821/predictions.arff
area_under_roc_curve
0.8552314120452733 [0.75048,0.878825,0.861596]
average_cost
0
f_measure
0.7158916619965756 [0.007685,0.64216,0.846167]
kappa
0.44474637275237133
kb_relative_information_score
0.3407251414626462
mean_absolute_error
0.22725623030730996
mean_prior_absolute_error
0.3312661139316681
weighted_recall
0.7570792071880043 [0.003877,0.622723,0.916556]
number_of_instances
67557 [6449,16635,44473]
precision
0.7223932844410876 [0.438596,0.662849,0.785819]
predictive_accuracy
0.7570792071880043
prior_entropy
1.2184443574876134
relative_absolute_error
0.6860231721563506
root_mean_prior_squared_error
0.4069773263039227
root_mean_squared_error
0.33607433595055347
root_relative_squared_error
0.8257814728960594
total_cost
0
unweighted_recall
0.5143852855797015 [0.003877,0.622723,0.916556]
area_under_roc_curve
0.8573243575384524 [0.744433,0.882829,0.864159]
area_under_roc_curve
0.8585544511180094 [0.740642,0.885322,0.865645]
area_under_roc_curve
0.8579209363718943 [0.756243,0.881888,0.863704]
area_under_roc_curve
0.8524647652315372 [0.750389,0.874699,0.85895]
area_under_roc_curve
0.8606135932537688 [0.748506,0.888135,0.866576]
area_under_roc_curve
0.8519599574871684 [0.76023,0.874151,0.856961]
area_under_roc_curve
0.8510109384937022 [0.75804,0.874296,0.855783]
area_under_roc_curve
0.8597597949641412 [0.764289,0.878602,0.866535]
area_under_roc_curve
0.8485517867843075 [0.747057,0.870331,0.855128]
area_under_roc_curve
0.8543414931570541 [0.735587,0.878277,0.862615]
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
0.7164519359810414 [0.006135,0.643081,0.846886]
f_measure
0.7177147662579477 [0.006126,0.645748,0.847808]
f_measure
0.7225828999824763 [0.003091,0.658657,0.850816]
f_measure
0.7127159829842514 [0,0.633437,0.845755]
f_measure
0.7196973369279817 [0.003082,0.655183,0.847777]
f_measure
0.7125282742481824 [0.003072,0.638948,0.842961]
f_measure
0.7159107115158011 [0.018433,0.642987,0.844361]
f_measure
0.7154258851856268 [0.006173,0.63659,0.847637]
f_measure
0.7098164751068968 [0.015314,0.624729,0.842368]
f_measure
0.7160611221838832 [0.015291,0.642345,0.845269]
kappa
0.4447952915672366
kappa
0.4474172336363323
kappa
0.46179192686690845
kappa
0.43872509988888886
kappa
0.45258431811262984
kappa
0.43920488077028497
kappa
0.4463477963317684
kappa
0.44350964953666766
kappa
0.4298445687367673
kappa
0.4432781914038742
kb_relative_information_score
0.3427065550076337
kb_relative_information_score
0.3454367449067835
kb_relative_information_score
0.34926325815754033
kb_relative_information_score
0.33600202594017703
kb_relative_information_score
0.3482047805178836
kb_relative_information_score
0.33600111601658633
kb_relative_information_score
0.33440278365307763
kb_relative_information_score
0.3465882792280414
kb_relative_information_score
0.3320349798384363
kb_relative_information_score
0.33661278526491833
mean_absolute_error
0.22616993602993812
mean_absolute_error
0.22502892176605632
mean_absolute_error
0.22489849546540314
mean_absolute_error
0.22928965926348283
mean_absolute_error
0.22480128077898928
mean_absolute_error
0.22906450375033194
mean_absolute_error
0.23004491449426165
mean_absolute_error
0.22609413247884527
mean_absolute_error
0.22954396551455608
mean_absolute_error
0.2276267149821051
mean_prior_absolute_error
0.33124674360604567
mean_prior_absolute_error
0.33124674360604567
mean_prior_absolute_error
0.33124674360604567
mean_prior_absolute_error
0.33128740361684467
mean_prior_absolute_error
0.33128740361684467
mean_prior_absolute_error
0.33128740361684467
mean_prior_absolute_error
0.33128740361684467
mean_prior_absolute_error
0.33124717680195626
mean_prior_absolute_error
0.33126205661307934
mean_prior_absolute_error
0.33126205661307934
number_of_instances
6756 [645,1663,4448]
number_of_instances
6756 [645,1663,4448]
number_of_instances
6756 [645,1663,4448]
number_of_instances
6756 [645,1664,4447]
number_of_instances
6756 [645,1664,4447]
number_of_instances
6756 [645,1664,4447]
number_of_instances
6756 [645,1664,4447]
number_of_instances
6755 [644,1664,4447]
number_of_instances
6755 [645,1663,4447]
number_of_instances
6755 [645,1663,4447]
precision
0.7088282481597458 [0.285714,0.670803,0.7844]
precision
0.7067890971214709 [0.25,0.675197,0.784839]
precision
0.734959718942328 [0.5,0.6753,0.791336]
precision
0.6778870015081908 [0,0.653257,0.785425]
precision
0.7089403826551118 [0.25,0.684107,0.784798]
precision
0.693393105771065 [0.166667,0.65028,0.785923]
precision
0.7747457006164368 [1,0.649693,0.788867]
precision
0.7278236859022299 [0.5,0.66,0.786195]
precision
0.7335259320179677 [0.625,0.644501,0.782558]
precision
0.7333606896500482 [0.555556,0.667098,0.783929]
predictive_accuracy
0.7581409117821195
predictive_accuracy
0.7594730609828301
predictive_accuracy
0.7640615748963885
predictive_accuracy
0.7544404973357015
predictive_accuracy
0.7616933096506808
predictive_accuracy
0.7531083481349912
predictive_accuracy
0.7554766133806986
predictive_accuracy
0.7570688378978535
predictive_accuracy
0.7504071058475204
predictive_accuracy
0.7569207994078461
prior_entropy
1.2183532771387544
prior_entropy
1.2183532771387544
prior_entropy
1.2183532771387544
prior_entropy
1.218563261386341
prior_entropy
1.218563261386341
prior_entropy
1.218563261386341
prior_entropy
1.218563261386341
prior_entropy
1.2182419830738163
prior_entropy
1.21844434244087
prior_entropy
1.21844434244087
relative_absolute_error
0.6827838775644653
relative_absolute_error
0.6793392723391869
relative_absolute_error
0.6789455286928847
relative_absolute_error
0.6921170462873113
relative_absolute_error
0.6785687542741182
relative_absolute_error
0.6914374082730289
relative_absolute_error
0.6943968046558254
relative_absolute_error
0.6825541417792094
relative_absolute_error
0.6929376936842121
relative_absolute_error
0.6871499782058578
root_mean_prior_squared_error
0.40695352781344096
root_mean_prior_squared_error
0.40695352781344096
root_mean_prior_squared_error
0.40695352781344096
root_mean_prior_squared_error
0.4070034813249195
root_mean_prior_squared_error
0.4070034813249195
root_mean_prior_squared_error
0.4070034813249195
root_mean_prior_squared_error
0.4070034813249195
root_mean_prior_squared_error
0.40695406005557394
root_mean_prior_squared_error
0.40697234157475465
root_mean_prior_squared_error
0.40697234157475465
root_mean_squared_error
0.33433748673861974
root_mean_squared_error
0.33337786109348744
root_mean_squared_error
0.3340191063554547
root_mean_squared_error
0.3373561705114706
root_mean_squared_error
0.3326971494063502
root_mean_squared_error
0.3384311384314997
root_mean_squared_error
0.33897410549156387
root_mean_squared_error
0.33476091813165537
root_mean_squared_error
0.3398725606881797
root_mean_squared_error
0.3368306883122615
root_relative_squared_error
0.8215618341853754
root_relative_squared_error
0.8192037623674743
root_relative_squared_error
0.8207794834710919
root_relative_squared_error
0.8288778499222518
root_relative_squared_error
0.8174307215341753
root_relative_squared_error
0.8315190261513341
root_relative_squared_error
0.8328530861409358
root_relative_squared_error
0.8226012491089049
root_relative_squared_error
0.8351244690807822
root_relative_squared_error
0.8276500732430998
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
0.513616084366142 [0.003101,0.617559,0.920189]
unweighted_recall
0.514541546642142 [0.003101,0.618761,0.921763]
unweighted_recall
0.5214428691981877 [0.00155,0.642814,0.919964]
unweighted_recall
0.5103022943297989 [0,0.614784,0.916123]
unweighted_recall
0.5173003844848694 [0.00155,0.628606,0.921745]
unweighted_recall
0.5128275206844392 [0.00155,0.628005,0.908927]
unweighted_recall
0.5179911164927439 [0.009302,0.636418,0.908253]
unweighted_recall
0.5124618445139087 [0.003106,0.614784,0.919496]
unweighted_recall
0.5086536627418622 [0.007752,0.606133,0.912076]
unweighted_recall
0.5147124158800344 [0.007752,0.619363,0.917023]
usercpu_time_millis
24610.93400000027
usercpu_time_millis
25139.063999999053
usercpu_time_millis
21200.465999998414
usercpu_time_millis
29881.059999999707
usercpu_time_millis
22038.49199999968
usercpu_time_millis
28313.092000000324
usercpu_time_millis
44066.03600000017
usercpu_time_millis
20350.045999999566
usercpu_time_millis
19289.54000000158
usercpu_time_millis
23185.608000003413
usercpu_time_millis_testing
59.67400000008638
usercpu_time_millis_testing
60.971999999310356
usercpu_time_millis_testing
59.527999997953884
usercpu_time_millis_testing
59.67400000008638
usercpu_time_millis_testing
76.23999999850639
usercpu_time_millis_testing
63.704000000143424
usercpu_time_millis_testing
59.23600000096485
usercpu_time_millis_testing
49.053999999159714
usercpu_time_millis_testing
48.606000000290805
usercpu_time_millis_testing
48.20800000015879
usercpu_time_millis_training
24551.260000000184
usercpu_time_millis_training
25078.091999999742
usercpu_time_millis_training
21140.93800000046
usercpu_time_millis_training
29821.38599999962
usercpu_time_millis_training
21962.252000001172
usercpu_time_millis_training
28249.38800000018
usercpu_time_millis_training
44006.7999999992
usercpu_time_millis_training
20300.992000000406
usercpu_time_millis_training
19240.93400000129
usercpu_time_millis_training
23137.400000003254
wall_clock_time_millis
12620.63479423523
wall_clock_time_millis
12781.741857528687
wall_clock_time_millis
10837.480306625366
wall_clock_time_millis
15215.312004089355
wall_clock_time_millis
11303.02619934082
wall_clock_time_millis
14430.255651473999
wall_clock_time_millis
22396.083116531372
wall_clock_time_millis
10330.922365188599
wall_clock_time_millis
9786.32926940918
wall_clock_time_millis
11781.015872955322
wall_clock_time_millis_testing
34.53993797302246
wall_clock_time_millis_testing
33.644914627075195
wall_clock_time_millis_testing
33.010244369506836
wall_clock_time_millis_testing
33.10799598693848
wall_clock_time_millis_testing
42.84214973449707
wall_clock_time_millis_testing
38.910865783691406
wall_clock_time_millis_testing
32.96089172363281
wall_clock_time_millis_testing
27.32229232788086
wall_clock_time_millis_testing
27.346134185791016
wall_clock_time_millis_testing
27.007102966308594
wall_clock_time_millis_training
12586.094856262207
wall_clock_time_millis_training
12748.096942901611
wall_clock_time_millis_training
10804.47006225586
wall_clock_time_millis_training
15182.204008102417
wall_clock_time_millis_training
11260.184049606323
wall_clock_time_millis_training
14391.344785690308
wall_clock_time_millis_training
22363.12222480774
wall_clock_time_millis_training
10303.600072860718
wall_clock_time_millis_training
9758.983135223389
wall_clock_time_millis_training
11754.008769989014
weighted_recall
0.7581409117821196 [0.003101,0.617559,0.920189]
weighted_recall
0.7594730609828301 [0.003101,0.618761,0.921763]
weighted_recall
0.7640615748963884 [0.00155,0.642814,0.919964]
weighted_recall
0.7544404973357016 [0,0.614784,0.916123]
weighted_recall
0.7616933096506808 [0.00155,0.628606,0.921745]
weighted_recall
0.7531083481349912 [0.00155,0.628005,0.908927]
weighted_recall
0.7554766133806986 [0.009302,0.636418,0.908253]
weighted_recall
0.7570688378978534 [0.003106,0.614784,0.919496]
weighted_recall
0.7504071058475204 [0.007752,0.606133,0.912076]
weighted_recall
0.7569207994078461 [0.007752,0.619363,0.917023]