10558936
8323
Heinrich Peters
146800
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275573
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
1.0
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
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.
40966
MiceProtein
https://www.openml.org/data/download/17928620/phpchCuL5
-1
22042836
description
https://api.openml.org/data/download/22042836/description.xml
-1
22042837
predictions
https://api.openml.org/data/download/22042837/predictions.arff
area_under_roc_curve
0.999766519378228 [0.999591,0.999506,0.999835,0.999906,0.999357,1,1,1]
average_cost
0
f_measure
0.9888876969637346 [0.976589,0.977778,0.993289,0.98893,0.98155,0.995261,1,1]
kappa
0.9872857037745567
kb_relative_information_score
0.9301809920798351
mean_absolute_error
0.031001855223253636
mean_prior_absolute_error
0.21846277573529482
weighted_recall
0.9888888888888889 [0.973333,0.977778,0.986667,0.992593,0.985185,1,1,1]
number_of_instances
1080 [150,135,150,135,135,105,135,135]
precision
0.9889130226295914 [0.979866,0.977778,1,0.985294,0.977941,0.990566,1,1]
predictive_accuracy
0.9888888888888888
prior_entropy
2.9930272047960242
relative_absolute_error
0.14190909695671775
root_mean_prior_squared_error
0.33050012389723266
root_mean_squared_error
0.0749407371086459
root_relative_squared_error
0.226749497776129
total_cost
0
unweighted_recall
0.9894444444444445 [0.973333,0.977778,0.986667,0.992593,0.985185,1,1,1]
area_under_roc_curve
0.9997013142174432 [0.997849,1,1,1,1,1,1,1]
area_under_roc_curve
0.9997044917257683 [1,1,1,1,0.99772,1,1,1]
area_under_roc_curve
0.9990169569682869 [0.999283,0.998381,0.997849,0.996761,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
area_under_roc_curve
0.9999025341130604 [1,0.99919,1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
area_under_roc_curve
0.9999004380724811 [0.999283,1,1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
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
0.990704898446834 [0.967742,0.96,1,1,1,1,1,1]
f_measure
0.9907407407407407 [1,0.962963,1,1,0.962963,1,1,1]
f_measure
0.9539888300999413 [0.933333,0.96,0.928571,0.888889,0.933333,1,1,1]
f_measure
1 [1,1,1,1,1,1,1,1]
f_measure
0.9907525661037795 [0.965517,0.962963,1,1,1,1,1,1]
f_measure
0.990704898446834 [0.967742,1,1,1,0.96,1,1,1]
f_measure
0.9907407407407407 [0.965517,0.965517,1,1,1,1,1,1]
f_measure
0.9907897315304722 [1,0.962963,1,1,1,0.952381,1,1]
f_measure
1 [1,1,1,1,1,1,1,1]
f_measure
0.9907525661037795 [0.965517,1,1,1,0.962963,1,1,1]
kappa
0.9894034536891679
kappa
0.9894065718489455
kappa
0.947038054138878
kappa
1
kappa
0.9894076108277755
kappa
0.9893972118594149
kappa
0.9894003336931985
kappa
0.9894034536891679
kappa
1
kappa
0.9894013738959764
kb_relative_information_score
0.9166448542599975
kb_relative_information_score
0.9291707228613959
kb_relative_information_score
0.9110374266073923
kb_relative_information_score
0.9339370078670547
kb_relative_information_score
0.9359068998563638
kb_relative_information_score
0.9271577215318039
kb_relative_information_score
0.9303961957934337
kb_relative_information_score
0.9401991719185436
kb_relative_information_score
0.9360741180335694
kb_relative_information_score
0.9413127432765752
mean_absolute_error
0.03663968303989125
mean_absolute_error
0.030494142379205006
mean_absolute_error
0.035641689138579964
mean_absolute_error
0.030481074680776588
mean_absolute_error
0.028445111451973683
mean_absolute_error
0.03296013585892362
mean_absolute_error
0.031149718836246093
mean_absolute_error
0.027784098345317757
mean_absolute_error
0.02939893356252255
mean_absolute_error
0.027023964939100715
mean_prior_absolute_error
0.21849468954248363
mean_prior_absolute_error
0.21849468954248363
mean_prior_absolute_error
0.21849468954248363
mean_prior_absolute_error
0.21849468954248363
mean_prior_absolute_error
0.21849468954248363
mean_prior_absolute_error
0.21843086192810454
mean_prior_absolute_error
0.21843086192810454
mean_prior_absolute_error
0.21843086192810454
mean_prior_absolute_error
0.21843086192810454
mean_prior_absolute_error
0.21843086192810454
number_of_instances
108 [15,13,15,13,14,11,13,14]
number_of_instances
108 [15,13,15,13,14,11,13,14]
number_of_instances
108 [15,13,15,13,14,11,13,14]
number_of_instances
108 [15,13,15,13,14,11,13,14]
number_of_instances
108 [15,13,15,13,14,11,13,14]
number_of_instances
108 [15,14,15,14,13,10,14,13]
number_of_instances
108 [15,14,15,14,13,10,14,13]
number_of_instances
108 [15,14,15,14,13,10,14,13]
number_of_instances
108 [15,14,15,14,13,10,14,13]
number_of_instances
108 [15,14,15,14,13,10,14,13]
precision
0.9913194444444444 [0.9375,1,1,1,1,1,1,1]
precision
0.9914021164021164 [1,0.928571,1,1,1,1,1,1]
precision
0.9573412698412698 [0.933333,1,1,0.857143,0.875,1,1,1]
precision
1 [1,1,1,1,1,1,1,1]
precision
0.9914021164021164 [1,0.928571,1,1,1,1,1,1]
precision
0.9913194444444444 [0.9375,1,1,1,1,1,1,1]
precision
0.991358024691358 [1,0.933333,1,1,1,1,1,1]
precision
0.9915824915824916 [1,1,1,1,1,0.909091,1,1]
precision
1 [1,1,1,1,1,1,1,1]
precision
0.9914021164021164 [1,1,1,1,0.928571,1,1,1]
predictive_accuracy
0.9907407407407408
predictive_accuracy
0.9907407407407408
predictive_accuracy
0.9537037037037037
predictive_accuracy
1
predictive_accuracy
0.9907407407407408
predictive_accuracy
0.9907407407407408
predictive_accuracy
0.9907407407407408
predictive_accuracy
0.9907407407407408
predictive_accuracy
1
predictive_accuracy
0.9907407407407408
prior_entropy
2.9946917528825625
prior_entropy
2.9946917528825625
prior_entropy
2.9946917528825625
prior_entropy
2.9946917528825625
prior_entropy
2.9946917528825625
prior_entropy
2.991362656709533
prior_entropy
2.991362656709533
prior_entropy
2.991362656709533
prior_entropy
2.991362656709533
prior_entropy
2.991362656709533
relative_absolute_error
0.16769141216481195
relative_absolute_error
0.1395646843548378
relative_absolute_error
0.16312382334422765
relative_absolute_error
0.13950487650112847
relative_absolute_error
0.1301867405177501
relative_absolute_error
0.1508950501224149
relative_absolute_error
0.14260676610111475
relative_absolute_error
0.12719859318443177
relative_absolute_error
0.1345914826458867
relative_absolute_error
0.12371862062237121
root_mean_prior_squared_error
0.3305484014532142
root_mean_prior_squared_error
0.3305484014532142
root_mean_prior_squared_error
0.3305484014532142
root_mean_prior_squared_error
0.3305484014532142
root_mean_prior_squared_error
0.3305484014532142
root_mean_prior_squared_error
0.33045183928811195
root_mean_prior_squared_error
0.33045183928811195
root_mean_prior_squared_error
0.33045183928811195
root_mean_prior_squared_error
0.33045183928811195
root_mean_prior_squared_error
0.33045183928811195
root_mean_squared_error
0.0869412086474257
root_mean_squared_error
0.07534220769480843
root_mean_squared_error
0.09586937362840287
root_mean_squared_error
0.06856007580021824
root_mean_squared_error
0.07162285646538966
root_mean_squared_error
0.07563676966480254
root_mean_squared_error
0.07463044417476711
root_mean_squared_error
0.06434109990448653
root_mean_squared_error
0.06642592691452111
root_mean_squared_error
0.06373271823915319
root_relative_squared_error
0.2630211135954665
root_relative_squared_error
0.2279309395040967
root_relative_squared_error
0.29003127289959746
root_relative_squared_error
0.20741312164512835
root_relative_squared_error
0.2166788771342074
root_relative_squared_error
0.22888893530671772
root_relative_squared_error
0.22584363378198316
root_relative_squared_error
0.1947064360213449
root_relative_squared_error
0.201015455255512
root_relative_squared_error
0.19286537601500947
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
0.9903846153846154 [1,0.923077,1,1,1,1,1,1]
unweighted_recall
0.9910714285714286 [1,1,1,1,0.928571,1,1,1]
unweighted_recall
0.9557692307692308 [0.933333,0.923077,0.866667,0.923077,1,1,1,1]
unweighted_recall
1 [1,1,1,1,1,1,1,1]
unweighted_recall
0.9916666666666667 [0.933333,1,1,1,1,1,1,1]
unweighted_recall
0.9903846153846154 [1,1,1,1,0.923077,1,1,1]
unweighted_recall
0.9916666666666667 [0.933333,1,1,1,1,1,1,1]
unweighted_recall
0.9910714285714286 [1,0.928571,1,1,1,1,1,1]
unweighted_recall
1 [1,1,1,1,1,1,1,1]
unweighted_recall
0.9916666666666667 [0.933333,1,1,1,1,1,1,1]
usercpu_time_millis
234.6479999978328
usercpu_time_millis
473.4779999998864
usercpu_time_millis
469.7599999999511
usercpu_time_millis
475.7500000014261
usercpu_time_millis
471.33799999573966
usercpu_time_millis
480.02599999745144
usercpu_time_millis
471.53400000024703
usercpu_time_millis
474.5859999966342
usercpu_time_millis
471.34400000140886
usercpu_time_millis
475.4579999971611
usercpu_time_millis_testing
3.1759999983478338
usercpu_time_millis_testing
2.1100000012665987
usercpu_time_millis_testing
1.9979999997303821
usercpu_time_millis_testing
1.012000000628177
usercpu_time_millis_testing
2.3599999985890463
usercpu_time_millis_testing
2.113999998982763
usercpu_time_millis_testing
1.958000000740867
usercpu_time_millis_testing
1.9839999986288603
usercpu_time_millis_testing
2.3720000026514754
usercpu_time_millis_testing
2.003999998123618
usercpu_time_millis_training
231.47199999948498
usercpu_time_millis_training
471.3679999986198
usercpu_time_millis_training
467.7620000002207
usercpu_time_millis_training
474.7380000007979
usercpu_time_millis_training
468.9779999971506
usercpu_time_millis_training
477.9119999984687
usercpu_time_millis_training
469.57599999950617
usercpu_time_millis_training
472.60199999800534
usercpu_time_millis_training
468.9719999987574
usercpu_time_millis_training
473.4539999990375
wall_clock_time_millis
145.60317993164062
wall_clock_time_millis
119.94767189025879
wall_clock_time_millis
118.32475662231445
wall_clock_time_millis
130.0208568572998
wall_clock_time_millis
119.22907829284668
wall_clock_time_millis
121.2608814239502
wall_clock_time_millis
119.4150447845459
wall_clock_time_millis
120.37229537963867
wall_clock_time_millis
119.5826530456543
wall_clock_time_millis
120.2089786529541
wall_clock_time_millis_testing
29.574155807495117
wall_clock_time_millis_testing
0.5998611450195312
wall_clock_time_millis_testing
0.5218982696533203
wall_clock_time_millis_testing
0.5118846893310547
wall_clock_time_millis_testing
0.6260871887207031
wall_clock_time_millis_testing
0.5347728729248047
wall_clock_time_millis_testing
0.5049705505371094
wall_clock_time_millis_testing
0.5130767822265625
wall_clock_time_millis_testing
0.6127357482910156
wall_clock_time_millis_testing
0.5178451538085938
wall_clock_time_millis_training
116.02902412414551
wall_clock_time_millis_training
119.34781074523926
wall_clock_time_millis_training
117.80285835266113
wall_clock_time_millis_training
129.50897216796875
wall_clock_time_millis_training
118.60299110412598
wall_clock_time_millis_training
120.72610855102539
wall_clock_time_millis_training
118.91007423400879
wall_clock_time_millis_training
119.85921859741211
wall_clock_time_millis_training
118.96991729736328
wall_clock_time_millis_training
119.69113349914551
weighted_recall
0.9907407407407407 [1,0.923077,1,1,1,1,1,1]
weighted_recall
0.9907407407407407 [1,1,1,1,0.928571,1,1,1]
weighted_recall
0.9537037037037037 [0.933333,0.923077,0.866667,0.923077,1,1,1,1]
weighted_recall
1 [1,1,1,1,1,1,1,1]
weighted_recall
0.9907407407407407 [0.933333,1,1,1,1,1,1,1]
weighted_recall
0.9907407407407407 [1,1,1,1,0.923077,1,1,1]
weighted_recall
0.9907407407407407 [0.933333,1,1,1,1,1,1,1]
weighted_recall
0.9907407407407407 [1,0.928571,1,1,1,1,1,1]
weighted_recall
1 [1,1,1,1,1,1,1,1]
weighted_recall
0.9907407407407407 [0.933333,1,1,1,1,1,1,1]