10556814
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)
8275665
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
1.0
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
100
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"liblinear"
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
22038585
description
https://api.openml.org/data/download/22038585/description.xml
-1
22038586
predictions
https://api.openml.org/data/download/22038586/predictions.arff
area_under_roc_curve
0.8515595583703208 [0.714302,0.879053,0.861179]
average_cost
0
f_measure
0.7165115767479369 [0.00616,0.642837,0.847077]
kappa
0.4469260498584644
kb_relative_information_score
0.33302864315607905
mean_absolute_error
0.23039504151264867
mean_prior_absolute_error
0.3312661139316681
weighted_recall
0.7577305090516157 [0.003101,0.625428,0.916646]
number_of_instances
67557 [6449,16635,44473]
precision
0.7235461795756964 [0.444444,0.661243,0.787323]
predictive_accuracy
0.7577305090516157
prior_entropy
1.2184443574876134
relative_absolute_error
0.6954983676965324
root_mean_prior_squared_error
0.4069773263039227
root_mean_squared_error
0.33724483746375244
root_relative_squared_error
0.8286575582146918
total_cost
0
unweighted_recall
0.515058541571539 [0.003101,0.625428,0.916646]
area_under_roc_curve
0.8536473455289411 [0.707698,0.883394,0.86369]
area_under_roc_curve
0.8551484233472113 [0.701874,0.886373,0.8657]
area_under_roc_curve
0.8546050380761803 [0.721216,0.882318,0.863586]
area_under_roc_curve
0.8487370312996454 [0.719503,0.874345,0.857899]
area_under_roc_curve
0.8572490274439277 [0.714051,0.888109,0.866471]
area_under_roc_curve
0.8476373472799037 [0.719385,0.874374,0.856235]
area_under_roc_curve
0.8473293301891334 [0.723536,0.874376,0.855164]
area_under_roc_curve
0.8557263798463534 [0.723489,0.878865,0.866218]
area_under_roc_curve
0.8448829675699772 [0.711229,0.870358,0.854742]
area_under_roc_curve
0.8507418165850399 [0.701667,0.878339,0.862043]
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
0.717911717422931 [0.003096,0.645846,0.84851]
f_measure
0.7196409888595574 [0.006154,0.647631,0.850026]
f_measure
0.7237785420884353 [0.003086,0.660117,0.852087]
f_measure
0.7135109525686251 [0.003086,0.632584,0.846834]
f_measure
0.7210158841004524 [0.003091,0.658339,0.848598]
f_measure
0.7122884751505419 [0.003067,0.638415,0.842797]
f_measure
0.7140044507988562 [0.006163,0.6407,0.8441]
f_measure
0.7164894603966004 [0.006182,0.637915,0.848755]
f_measure
0.7096972041520869 [0.009202,0.62442,0.843188]
f_measure
0.7167893908204958 [0.018321,0.64268,0.84581]
kappa
0.4491975613453379
kappa
0.4522034247937533
kappa
0.4650761165177003
kappa
0.441064294010656
kappa
0.45612185204929623
kappa
0.4390016550760983
kappa
0.44416795916439805
kappa
0.4464738002971419
kappa
0.4307091338519192
kappa
0.4453796422457884
kb_relative_information_score
0.33509954729177965
kb_relative_information_score
0.33864139492751283
kb_relative_information_score
0.3414256944098997
kb_relative_information_score
0.32880412159503225
kb_relative_information_score
0.3402773026560827
kb_relative_information_score
0.3274632544533718
kb_relative_information_score
0.32702139899504795
kb_relative_information_score
0.33825674999446176
kb_relative_information_score
0.32465297864125636
kb_relative_information_score
0.32864577830528213
mean_absolute_error
0.22930736515023104
mean_absolute_error
0.2280808045562942
mean_absolute_error
0.2279991273277186
mean_absolute_error
0.2322410200008307
mean_absolute_error
0.22803303445878842
mean_absolute_error
0.23237176283973787
mean_absolute_error
0.23322082294983404
mean_absolute_error
0.22929611982112635
mean_absolute_error
0.2326607530133824
mean_absolute_error
0.23073982874698165
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
0.7783644552206239 [1,0.671865,0.786043]
precision
0.7228091683083859 [0.4,0.677165,0.786685]
precision
0.7201668490734623 [0.333333,0.674404,0.793371]
precision
0.7100503726777646 [0.333333,0.648768,0.787621]
precision
0.7339226583794387 [0.5,0.685306,0.786043]
precision
0.6908994720175731 [0.142857,0.647896,0.78648]
precision
0.7261575324238609 [0.5,0.643811,0.789773]
precision
0.744615506358656 [0.666667,0.659397,0.787791]
precision
0.7150996419570512 [0.428571,0.642494,0.78381]
precision
0.7379191633512084 [0.6,0.663677,0.785687]
predictive_accuracy
0.7600651272942569
predictive_accuracy
0.7616933096506808
predictive_accuracy
0.7650976909413855
predictive_accuracy
0.7548845470692718
predictive_accuracy
0.7630254588513914
predictive_accuracy
0.7526642984014209
predictive_accuracy
0.7539964476021315
predictive_accuracy
0.7581051073279051
predictive_accuracy
0.7505551443375278
predictive_accuracy
0.7572168763878608
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
0.6922554548127061
relative_absolute_error
0.68855259397675
relative_absolute_error
0.6883060187872511
relative_absolute_error
0.7010258086040375
relative_absolute_error
0.688323890281453
relative_absolute_error
0.701420459404158
relative_absolute_error
0.7039833703413879
relative_absolute_error
0.6922206010474659
relative_absolute_error
0.7023465210358661
relative_absolute_error
0.6965477154435782
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
0.3356184402202697
root_mean_squared_error
0.33447740937299486
root_mean_squared_error
0.3351412237949854
root_mean_squared_error
0.3385233124181278
root_mean_squared_error
0.3338944280809515
root_mean_squared_error
0.3397228519391009
root_mean_squared_error
0.34003669753527493
root_mean_squared_error
0.3359072312595667
root_mean_squared_error
0.341029991154461
root_mean_squared_error
0.3380109402838719
root_relative_squared_error
0.8247094994446803
root_relative_squared_error
0.8219056637010621
root_relative_squared_error
0.8235368436187229
root_relative_squared_error
0.8317454959258136
root_relative_squared_error
0.8203724130172648
root_relative_squared_error
0.8346927422664794
root_relative_squared_error
0.8354638550715896
root_relative_squared_error
0.825418061227095
root_relative_squared_error
0.8379684718496254
root_relative_squared_error
0.8305501523173767
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
0.5150269556271804 [0.00155,0.621768,0.921763]
unweighted_recall
0.5160421501280844 [0.003101,0.620565,0.92446]
unweighted_recall
0.5227204550669551 [0.00155,0.646422,0.920189]
unweighted_recall
0.5114704584471487 [0.00155,0.617188,0.915673]
unweighted_recall
0.518977905487216 [0.00155,0.633413,0.92197]
unweighted_recall
0.5128533772111671 [0.00155,0.629207,0.907803]
unweighted_recall
0.5157249188575915 [0.003101,0.63762,0.906454]
unweighted_recall
0.5136133608775766 [0.003106,0.617788,0.919946]
unweighted_recall
0.5080959098506472 [0.004651,0.607336,0.9123]
unweighted_recall
0.5160570730675601 [0.009302,0.622971,0.915898]
usercpu_time_millis
5907.798000000184
usercpu_time_millis
5989.3019999872195
usercpu_time_millis
6011.848000009195
usercpu_time_millis
5979.216000007
usercpu_time_millis
6195.906000008108
usercpu_time_millis
6015.801999994437
usercpu_time_millis
6267.888000002131
usercpu_time_millis
6394.529999990482
usercpu_time_millis
6050.270000007004
usercpu_time_millis
6265.795999992406
usercpu_time_millis_testing
45.72199999529403
usercpu_time_millis_testing
46.931999997468665
usercpu_time_millis_testing
46.13600000448059
usercpu_time_millis_testing
48.68800000986084
usercpu_time_millis_testing
47.77200000535231
usercpu_time_millis_testing
51.09199999424163
usercpu_time_millis_testing
45.09600000164937
usercpu_time_millis_testing
45.38199999660719
usercpu_time_millis_testing
46.22600000584498
usercpu_time_millis_testing
46.45399999571964
usercpu_time_millis_training
5862.07600000489
usercpu_time_millis_training
5942.369999989751
usercpu_time_millis_training
5965.712000004714
usercpu_time_millis_training
5930.527999997139
usercpu_time_millis_training
6148.134000002756
usercpu_time_millis_training
5964.710000000196
usercpu_time_millis_training
6222.7920000004815
usercpu_time_millis_training
6349.147999993875
usercpu_time_millis_training
6004.044000001159
usercpu_time_millis_training
6219.341999996686
wall_clock_time_millis
3020.6642150878906
wall_clock_time_millis
3062.6492500305176
wall_clock_time_millis
3065.3908252716064
wall_clock_time_millis
3047.3005771636963
wall_clock_time_millis
3165.956974029541
wall_clock_time_millis
3065.54913520813
wall_clock_time_millis
3195.4362392425537
wall_clock_time_millis
3265.3863430023193
wall_clock_time_millis
3087.630033493042
wall_clock_time_millis
3197.269916534424
wall_clock_time_millis_testing
25.795936584472656
wall_clock_time_millis_testing
25.99811553955078
wall_clock_time_millis_testing
25.814056396484375
wall_clock_time_millis_testing
26.952743530273438
wall_clock_time_millis_testing
26.865005493164062
wall_clock_time_millis_testing
28.172016143798828
wall_clock_time_millis_testing
25.295257568359375
wall_clock_time_millis_testing
25.042295455932617
wall_clock_time_millis_testing
25.85577964782715
wall_clock_time_millis_testing
25.682926177978516
wall_clock_time_millis_training
2994.868278503418
wall_clock_time_millis_training
3036.651134490967
wall_clock_time_millis_training
3039.576768875122
wall_clock_time_millis_training
3020.347833633423
wall_clock_time_millis_training
3139.091968536377
wall_clock_time_millis_training
3037.377119064331
wall_clock_time_millis_training
3170.1409816741943
wall_clock_time_millis_training
3240.3440475463867
wall_clock_time_millis_training
3061.774253845215
wall_clock_time_millis_training
3171.5869903564453
weighted_recall
0.7600651272942569 [0.00155,0.621768,0.921763]
weighted_recall
0.7616933096506808 [0.003101,0.620565,0.92446]
weighted_recall
0.7650976909413855 [0.00155,0.646422,0.920189]
weighted_recall
0.7548845470692718 [0.00155,0.617188,0.915673]
weighted_recall
0.7630254588513914 [0.00155,0.633413,0.92197]
weighted_recall
0.7526642984014209 [0.00155,0.629207,0.907803]
weighted_recall
0.7539964476021315 [0.003101,0.63762,0.906454]
weighted_recall
0.7581051073279053 [0.003106,0.617788,0.919946]
weighted_recall
0.7505551443375278 [0.004651,0.607336,0.9123]
weighted_recall
0.7572168763878608 [0.009302,0.622971,0.915898]