10558773
8323
Heinrich Peters
9976
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275905
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
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
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.
1485
madelon
https://www.openml.org/data/download/1590986/phpfLuQE4
-1
22042510
description
https://api.openml.org/data/download/22042510/description.xml
-1
22042511
predictions
https://api.openml.org/data/download/22042511/predictions.arff
area_under_roc_curve
0.5843147928994082 [0.584315,0.584315]
average_cost
0
f_measure
0.5665368584942991 [0.56737,0.565703]
kappa
0.1330769230769231
kb_relative_information_score
0.08884879538142157
mean_absolute_error
0.45934867176218747
mean_prior_absolute_error
0.5
weighted_recall
0.5665384615384615 [0.568462,0.564615]
number_of_instances
2600 [1300,1300]
precision
0.5665394458497907 [0.566284,0.566795]
predictive_accuracy
0.5665384615384615
prior_entropy
1
relative_absolute_error
0.9186973435243749
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.5356581482306604
root_relative_squared_error
1.0713162964613208
total_cost
0
unweighted_recall
0.5665384615384615 [0.568462,0.564615]
area_under_roc_curve
0.6055621301775148 [0.605562,0.605562]
area_under_roc_curve
0.5957396449704142 [0.59574,0.59574]
area_under_roc_curve
0.5094674556213018 [0.509467,0.509467]
area_under_roc_curve
0.572603550295858 [0.572604,0.572604]
area_under_roc_curve
0.6500591715976332 [0.650059,0.650059]
area_under_roc_curve
0.5761538461538461 [0.576154,0.576154]
area_under_roc_curve
0.5360946745562131 [0.536095,0.536095]
area_under_roc_curve
0.5926627218934911 [0.592663,0.592663]
area_under_roc_curve
0.5893491124260355 [0.589349,0.589349]
area_under_roc_curve
0.6243195266272189 [0.62432,0.62432]
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
0.5884554505244161 [0.590038,0.586873]
f_measure
0.5417586160932478 [0.557621,0.525896]
f_measure
0.5229640151515151 [0.515625,0.530303]
f_measure
0.5730200766374222 [0.568093,0.577947]
f_measure
0.6574440052700922 [0.648221,0.666667]
f_measure
0.5346085001257415 [0.532819,0.536398]
f_measure
0.5192236571546917 [0.517375,0.521073]
f_measure
0.5608888888888889 [0.544,0.577778]
f_measure
0.5804651300498882 [0.59176,0.56917]
f_measure
0.5834075129072458 [0.605839,0.560976]
kappa
0.17692307692307696
kappa
0.08461538461538454
kappa
0.04615384615384621
kappa
0.14615384615384608
kappa
0.3153846153846154
kappa
0.0692307692307692
kappa
0.03846153846153855
kappa
0.12307692307692308
kappa
0.16153846153846163
kappa
0.1692307692307693
kb_relative_information_score
0.11319988570040368
kb_relative_information_score
0.09069521477758354
kb_relative_information_score
0.011853660607225487
kb_relative_information_score
0.0748559904258235
kb_relative_information_score
0.16167988077640102
kb_relative_information_score
0.08184786942950219
kb_relative_information_score
0.03522458626779973
kb_relative_information_score
0.09883339115947395
kb_relative_information_score
0.09278507257979424
kb_relative_information_score
0.1275124020902102
mean_absolute_error
0.4486072782503261
mean_absolute_error
0.4566492298470059
mean_absolute_error
0.4953390379006928
mean_absolute_error
0.4658732737603075
mean_absolute_error
0.4285745396072697
mean_absolute_error
0.46162279872251266
mean_absolute_error
0.48378124661387756
mean_absolute_error
0.4537394505391648
mean_absolute_error
0.4586554257551622
mean_absolute_error
0.44064443662554764
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
precision
0.5884667731818451 [0.587786,0.589147]
precision
0.5425114453891432 [0.539568,0.545455]
precision
0.5230987917555082 [0.52381,0.522388]
precision
0.5731158605174353 [0.574803,0.571429]
precision
0.6581508515815084 [0.666667,0.649635]
precision
0.5346174329842003 [0.534884,0.534351]
precision
0.5192319072134446 [0.51938,0.519084]
precision
0.5619047619047619 [0.566667,0.557143]
precision
0.5810040947124799 [0.576642,0.585366]
precision
0.5856082375478927 [0.576389,0.594828]
predictive_accuracy
0.5884615384615385
predictive_accuracy
0.5423076923076924
predictive_accuracy
0.5230769230769231
predictive_accuracy
0.573076923076923
predictive_accuracy
0.6576923076923077
predictive_accuracy
0.5346153846153846
predictive_accuracy
0.5192307692307692
predictive_accuracy
0.5615384615384615
predictive_accuracy
0.5807692307692308
predictive_accuracy
0.5846153846153846
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
relative_absolute_error
0.8972145565006522
relative_absolute_error
0.9132984596940118
relative_absolute_error
0.9906780758013854
relative_absolute_error
0.931746547520615
relative_absolute_error
0.8571490792145394
relative_absolute_error
0.9232455974450253
relative_absolute_error
0.9675624932277551
relative_absolute_error
0.9074789010783296
relative_absolute_error
0.9173108515103244
relative_absolute_error
0.8812888732510953
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.5248174835118042
root_mean_squared_error
0.5320824778486414
root_mean_squared_error
0.5728041342830033
root_mean_squared_error
0.5413363017437143
root_mean_squared_error
0.5068364304026027
root_mean_squared_error
0.5425937463458911
root_mean_squared_error
0.5521136292228822
root_mean_squared_error
0.5350542943047314
root_mean_squared_error
0.527735015325192
root_mean_squared_error
0.5183568761034472
root_relative_squared_error
1.0496349670236085
root_relative_squared_error
1.0641649556972828
root_relative_squared_error
1.1456082685660065
root_relative_squared_error
1.0826726034874286
root_relative_squared_error
1.0136728608052055
root_relative_squared_error
1.0851874926917822
root_relative_squared_error
1.1042272584457644
root_relative_squared_error
1.0701085886094628
root_relative_squared_error
1.055470030650384
root_relative_squared_error
1.0367137522068943
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
0.5884615384615385 [0.592308,0.584615]
unweighted_recall
0.5423076923076923 [0.576923,0.507692]
unweighted_recall
0.523076923076923 [0.507692,0.538462]
unweighted_recall
0.573076923076923 [0.561538,0.584615]
unweighted_recall
0.6576923076923077 [0.630769,0.684615]
unweighted_recall
0.5346153846153846 [0.530769,0.538462]
unweighted_recall
0.5192307692307692 [0.515385,0.523077]
unweighted_recall
0.5615384615384615 [0.523077,0.6]
unweighted_recall
0.5807692307692307 [0.607692,0.553846]
unweighted_recall
0.5846153846153845 [0.638462,0.530769]
usercpu_time_millis
463.3399999984249
usercpu_time_millis
482.0959999997285
usercpu_time_millis
517.4280000010185
usercpu_time_millis
470.96200000123645
usercpu_time_millis
527.5820000006206
usercpu_time_millis
504.3659999992087
usercpu_time_millis
486.75400000138325
usercpu_time_millis
460.46600000045146
usercpu_time_millis
626.53599999976
usercpu_time_millis
494.52799999926356
usercpu_time_millis_testing
8.045999999012565
usercpu_time_millis_testing
6.6079999996873084
usercpu_time_millis_testing
7.472000001143897
usercpu_time_millis_testing
8.84800000130781
usercpu_time_millis_testing
8.885999999620253
usercpu_time_millis_testing
8.021999999982654
usercpu_time_millis_testing
7.5800000013259705
usercpu_time_millis_testing
8.066000000326312
usercpu_time_millis_testing
12.380000000121072
usercpu_time_millis_testing
7.525999999415944
usercpu_time_millis_training
455.29399999941234
usercpu_time_millis_training
475.4880000000412
usercpu_time_millis_training
509.9559999998746
usercpu_time_millis_training
462.11399999992864
usercpu_time_millis_training
518.6960000010004
usercpu_time_millis_training
496.34399999922607
usercpu_time_millis_training
479.1740000000573
usercpu_time_millis_training
452.40000000012515
usercpu_time_millis_training
614.1559999996389
usercpu_time_millis_training
487.0019999998476
wall_clock_time_millis
230.26108741760254
wall_clock_time_millis
236.44375801086426
wall_clock_time_millis
274.5058536529541
wall_clock_time_millis
241.43409729003906
wall_clock_time_millis
287.7168655395508
wall_clock_time_millis
238.60502243041992
wall_clock_time_millis
262.44592666625977
wall_clock_time_millis
220.170259475708
wall_clock_time_millis
355.67402839660645
wall_clock_time_millis
232.83028602600098
wall_clock_time_millis_testing
3.443002700805664
wall_clock_time_millis_testing
1.7237663269042969
wall_clock_time_millis_testing
2.785921096801758
wall_clock_time_millis_testing
2.6731491088867188
wall_clock_time_millis_testing
2.240896224975586
wall_clock_time_millis_testing
2.196073532104492
wall_clock_time_millis_testing
2.376079559326172
wall_clock_time_millis_testing
5.398035049438477
wall_clock_time_millis_testing
3.173828125
wall_clock_time_millis_testing
2.2110939025878906
wall_clock_time_millis_training
226.81808471679688
wall_clock_time_millis_training
234.71999168395996
wall_clock_time_millis_training
271.71993255615234
wall_clock_time_millis_training
238.76094818115234
wall_clock_time_millis_training
285.4759693145752
wall_clock_time_millis_training
236.40894889831543
wall_clock_time_millis_training
260.0698471069336
wall_clock_time_millis_training
214.77222442626953
wall_clock_time_millis_training
352.50020027160645
wall_clock_time_millis_training
230.6191921234131
weighted_recall
0.5884615384615385 [0.592308,0.584615]
weighted_recall
0.5423076923076923 [0.576923,0.507692]
weighted_recall
0.5230769230769231 [0.507692,0.538462]
weighted_recall
0.573076923076923 [0.561538,0.584615]
weighted_recall
0.6576923076923077 [0.630769,0.684615]
weighted_recall
0.5346153846153846 [0.530769,0.538462]
weighted_recall
0.5192307692307693 [0.515385,0.523077]
weighted_recall
0.5615384615384615 [0.523077,0.6]
weighted_recall
0.5807692307692308 [0.607692,0.553846]
weighted_recall
0.5846153846153846 [0.638462,0.530769]