10442158
8323
Heinrich Peters
37
Supervised Classification
17652
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)
8261522
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
bootstrap
false
17650
class_weight
null
17650
criterion
"entropy"
17650
max_depth
null
17650
max_features
0.13891783454814322
17650
max_leaf_nodes
null
17650
min_impurity_decrease
0
17650
min_impurity_split
null
17650
min_samples_leaf
2
17650
min_samples_split
9
17650
min_weight_fraction_leaf
0.0
17650
n_estimators
300
17650
n_jobs
1
17650
oob_score
false
17650
random_state
1
17650
verbose
0
17650
warm_start
false
17650
memory
null
17652
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": "randomforestclassifier", "step_name": "randomforestclassifier"}}]
17652
verbose
false
17652
openml-python
Sklearn_0.21.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
21808745
description
https://api.openml.org/data/download/21808745/description.xml
-1
21808746
predictions
https://api.openml.org/data/download/21808746/predictions.arff
area_under_roc_curve
0.823865671641791 [0.823866,0.823866]
average_cost
0
f_measure
0.7547522817182194 [0.823755,0.626016]
kappa
0.45183714001986086
kb_relative_information_score
0.28380155778628136
mean_absolute_error
0.3321111067161747
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7604166666666666 [0.86,0.574627]
number_of_instances
768 [500,268]
precision
0.7545189950980392 [0.790441,0.6875]
predictive_accuracy
0.7604166666666667
prior_entropy
0.9331348051619819
relative_absolute_error
0.7307314266120888
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4027016282490029
root_relative_squared_error
0.8448742216214804
total_cost
0
unweighted_recall
0.7173134328358208 [0.86,0.574627]
area_under_roc_curve
0.8992592592592593 [0.899259,0.899259]
area_under_roc_curve
0.7607407407407407 [0.760741,0.760741]
area_under_roc_curve
0.8244444444444444 [0.824444,0.824444]
area_under_roc_curve
0.8192592592592594 [0.819259,0.819259]
area_under_roc_curve
0.7755555555555557 [0.775556,0.775556]
area_under_roc_curve
0.8251851851851851 [0.825185,0.825185]
area_under_roc_curve
0.8385185185185187 [0.838519,0.838519]
area_under_roc_curve
0.8837037037037035 [0.883704,0.883704]
area_under_roc_curve
0.8207692307692307 [0.820769,0.820769]
area_under_roc_curve
0.79 [0.79,0.79]
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
0.8059818968909879 [0.848485,0.727273]
f_measure
0.688825590794173 [0.785047,0.510638]
f_measure
0.7521404431548276 [0.811881,0.641509]
f_measure
0.7545642763034068 [0.833333,0.608696]
f_measure
0.7083516483516483 [0.788462,0.56]
f_measure
0.7732131813764467 [0.838095,0.653061]
f_measure
0.7313771134525852 [0.811321,0.583333]
f_measure
0.8511774564667782 [0.897196,0.765957]
f_measure
0.7503987240829346 [0.833333,0.590909]
f_measure
0.7248954289669284 [0.787879,0.603774]
kappa
0.5758354755784062
kappa
0.302481291847184
kappa
0.4534927157265597
kappa
0.44912559618441983
kappa
0.3504601226993866
kappa
0.4936170212765959
kappa
0.3989071038251366
kappa
0.666404096100827
kappa
0.4318936877076413
kappa
0.3917682926829269
kb_relative_information_score
0.38227950353614654
kb_relative_information_score
0.21323135011747596
kb_relative_information_score
0.28160021735439145
kb_relative_information_score
0.2576689494355702
kb_relative_information_score
0.2095385422428607
kb_relative_information_score
0.25014859555633434
kb_relative_information_score
0.30560976218169583
kb_relative_information_score
0.3796611734988483
kb_relative_information_score
0.2863441112549635
kb_relative_information_score
0.27173253315650703
mean_absolute_error
0.2933881011290061
mean_absolute_error
0.3596250354525697
mean_absolute_error
0.33478070777206237
mean_absolute_error
0.34379200064179144
mean_absolute_error
0.3573406198872054
mean_absolute_error
0.3490025288642282
mean_absolute_error
0.32337830676459717
mean_absolute_error
0.29776771229130095
mean_absolute_error
0.3294897707215457
mean_absolute_error
0.332517518386476
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.45242652084757423
mean_prior_absolute_error
0.45242652084757423
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
precision
0.8070500927643784 [0.857143,0.714286]
precision
0.6888585099111415 [0.736842,0.6]
precision
0.7512977218859571 [0.803922,0.653846]
precision
0.7621797440309238 [0.775862,0.736842]
precision
0.7064642282033586 [0.759259,0.608696]
precision
0.7744982290436836 [0.8,0.727273]
precision
0.7323747680890539 [0.767857,0.666667]
precision
0.862406015037594 [0.842105,0.9]
precision
0.7575115950796532 [0.775862,0.722222]
precision
0.7263595496678202 [0.795918,0.592593]
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.763157894736842
predictive_accuracy
0.7236842105263157
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9269862002370954
prior_entropy
0.9269862002370954
relative_absolute_error
0.6448078183615209
relative_absolute_error
0.7903832283790945
relative_absolute_error
0.735780411602682
relative_absolute_error
0.755585414169544
relative_absolute_error
0.7853625441343507
relative_absolute_error
0.7670371033235743
relative_absolute_error
0.7107202360556378
relative_absolute_error
0.6544333195592991
relative_absolute_error
0.7282724498649654
relative_absolute_error
0.7349646916443777
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4744699650121647
root_mean_prior_squared_error
0.4744699650121647
root_mean_squared_error
0.36021759283399035
root_mean_squared_error
0.44027249846032407
root_mean_squared_error
0.4029126948041119
root_mean_squared_error
0.4069476800894129
root_mean_squared_error
0.4214348840547438
root_mean_squared_error
0.4061124007433783
root_mean_squared_error
0.39712526898830464
root_mean_squared_error
0.37064685797288505
root_mean_squared_error
0.4007245202487785
root_mean_squared_error
0.41478875635207946
root_relative_squared_error
0.7548960486372392
root_relative_squared_error
0.9226644562152599
root_relative_squared_error
0.8443707561878568
root_relative_squared_error
0.8528267408726107
root_relative_squared_error
0.8831870931896342
root_relative_squared_error
0.8510762736817415
root_relative_squared_error
0.8322422400713563
root_relative_squared_error
0.7767523132955012
root_relative_squared_error
0.8445729968144655
root_relative_squared_error
0.8742149913355314
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
0.7903703703703704 [0.84,0.740741]
unweighted_recall
0.6422222222222222 [0.84,0.444444]
unweighted_recall
0.7248148148148148 [0.82,0.62963]
unweighted_recall
0.7092592592592593 [0.9,0.518519]
unweighted_recall
0.6692592592592592 [0.82,0.518519]
unweighted_recall
0.7362962962962962 [0.88,0.592593]
unweighted_recall
0.6892592592592592 [0.86,0.518519]
unweighted_recall
0.8133333333333332 [0.96,0.666667]
unweighted_recall
0.7 [0.9,0.5]
unweighted_recall
0.6976923076923077 [0.78,0.615385]
usercpu_time_millis
492.8739660008432
usercpu_time_millis
497.5601129990537
usercpu_time_millis
496.6224310010148
usercpu_time_millis
498.7364480002725
usercpu_time_millis
495.2815010001359
usercpu_time_millis
496.68284399922413
usercpu_time_millis
496.8471710017184
usercpu_time_millis
500.894900998901
usercpu_time_millis
496.2328419987898
usercpu_time_millis
495.02735399983067
usercpu_time_millis_testing
31.555857000057586
usercpu_time_millis_testing
27.43802199984202
usercpu_time_millis_testing
27.12124100071378
usercpu_time_millis_testing
27.185181999811903
usercpu_time_millis_testing
27.451197000118555
usercpu_time_millis_testing
29.994362999786972
usercpu_time_millis_testing
29.696951000005356
usercpu_time_millis_testing
30.180601999745704
usercpu_time_millis_testing
27.004817999113584
usercpu_time_millis_testing
27.222674998483853
usercpu_time_millis_training
461.3181090007856
usercpu_time_millis_training
470.12209099921165
usercpu_time_millis_training
469.501190000301
usercpu_time_millis_training
471.5512660004606
usercpu_time_millis_training
467.83030400001735
usercpu_time_millis_training
466.68848099943716
usercpu_time_millis_training
467.150220001713
usercpu_time_millis_training
470.7142989991553
usercpu_time_millis_training
469.2280239996762
usercpu_time_millis_training
467.8046790013468
wall_clock_time_millis
492.8762912750244
wall_clock_time_millis
497.5740909576416
wall_clock_time_millis
496.6268539428711
wall_clock_time_millis
498.73995780944824
wall_clock_time_millis
495.2845573425293
wall_clock_time_millis
496.6871738433838
wall_clock_time_millis
496.85120582580566
wall_clock_time_millis
500.90765953063965
wall_clock_time_millis
496.23680114746094
wall_clock_time_millis
495.03087997436523
wall_clock_time_millis_testing
31.559228897094727
wall_clock_time_millis_testing
27.44150161743164
wall_clock_time_millis_testing
27.124881744384766
wall_clock_time_millis_testing
27.188539505004883
wall_clock_time_millis_testing
27.454137802124023
wall_clock_time_millis_testing
29.998302459716797
wall_clock_time_millis_testing
29.700517654418945
wall_clock_time_millis_testing
30.183792114257812
wall_clock_time_millis_testing
27.008533477783203
wall_clock_time_millis_testing
27.225732803344727
wall_clock_time_millis_training
461.3170623779297
wall_clock_time_millis_training
470.13258934020996
wall_clock_time_millis_training
469.5019721984863
wall_clock_time_millis_training
471.55141830444336
wall_clock_time_millis_training
467.8304195404053
wall_clock_time_millis_training
466.688871383667
wall_clock_time_millis_training
467.1506881713867
wall_clock_time_millis_training
470.72386741638184
wall_clock_time_millis_training
469.22826766967773
wall_clock_time_millis_training
467.8051471710205
weighted_recall
0.8051948051948052 [0.84,0.740741]
weighted_recall
0.7012987012987013 [0.84,0.444444]
weighted_recall
0.7532467532467533 [0.82,0.62963]
weighted_recall
0.7662337662337663 [0.9,0.518519]
weighted_recall
0.7142857142857143 [0.82,0.518519]
weighted_recall
0.7792207792207793 [0.88,0.592593]
weighted_recall
0.7402597402597403 [0.86,0.518519]
weighted_recall
0.8571428571428571 [0.96,0.666667]
weighted_recall
0.7631578947368421 [0.9,0.5]
weighted_recall
0.7236842105263158 [0.78,0.615385]