10150809
1
Jan van Rijn
146606
Supervised Classification
8815
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1)
8076454
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"median"
8778
verbose
0
8778
copy
true
8779
with_mean
true
8779
with_std
true
8779
memory
null
8780
copy
true
8781
fill_value
-1
8781
missing_values
NaN
8781
strategy
"constant"
8781
verbose
0
8781
categorical_features
null
8782
categories
null
8782
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8782
handle_unknown
"ignore"
8782
n_values
null
8782
sparse
true
8782
class_weight
null
8783
criterion
"gini"
8783
max_depth
null
8783
max_features
1.0
8783
max_leaf_nodes
null
8783
min_impurity_decrease
0.0
8783
min_impurity_split
null
8783
min_samples_leaf
7
8783
min_samples_split
19
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
7343
8783
splitter
"best"
8783
n_jobs
null
8812
remainder
"passthrough"
8812
sparse_threshold
0.3
8812
transformer_weights
null
8812
memory
null
8813
memory
null
8815
threshold
0.0
8816
openml-python
Sklearn_0.20.0.
23512
higgs
https://www.openml.org/data/download/2063675/phpZLgL9q
-1
21222157
description
https://api.openml.org/data/download/21222157/description.xml
-1
21222158
predictions
https://api.openml.org/data/download/21222158/predictions.arff
area_under_roc_curve
0.6917516711989554 [0.691752,0.691752]
average_cost
0
f_measure
0.641954799740053 [0.623517,0.658399]
kappa
0.28196885403692923
kb_relative_information_score
25551.262150790546
mean_absolute_error
0.36974539314329113
mean_prior_absolute_error
0.4983667141368659
number_of_instances
98050 [46223,51827]
precision
0.6421987560666564 [0.617946,0.663829]
predictive_accuracy
0.6418052014278429
prior_entropy
0.9976424301660018
recall
0.6418052014278429 [0.629189,0.653057]
relative_absolute_error
0.7419143025706737
root_mean_prior_squared_error
0.4991826723867985
root_mean_squared_error
0.5226680536572428
root_relative_squared_error
1.0470476692593336
total_cost
0
area_under_roc_curve
0.6925224447460481 [0.692522,0.692522]
area_under_roc_curve
0.6895020601187508 [0.689502,0.689502]
area_under_roc_curve
0.6876141710189508 [0.687614,0.687614]
area_under_roc_curve
0.6888187658400925 [0.688819,0.688819]
area_under_roc_curve
0.7007785705239302 [0.700779,0.700779]
area_under_roc_curve
0.690044981124842 [0.690045,0.690045]
area_under_roc_curve
0.6977279347412191 [0.697728,0.697728]
area_under_roc_curve
0.6865828170566942 [0.686583,0.686583]
area_under_roc_curve
0.6909117431392264 [0.690912,0.690912]
area_under_roc_curve
0.6930890214347022 [0.693089,0.693089]
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
0.6388763790071463 [0.617396,0.65804]
f_measure
0.634982307166029 [0.617782,0.650327]
f_measure
0.6373889241634579 [0.622933,0.650285]
f_measure
0.6433555785939234 [0.621905,0.662484]
f_measure
0.6508702976013546 [0.633886,0.666017]
f_measure
0.6451716843678328 [0.628217,0.660291]
f_measure
0.6467133016679217 [0.630254,0.661391]
f_measure
0.6371750489615126 [0.618501,0.653827]
f_measure
0.6409178906714577 [0.621697,0.658058]
f_measure
0.6439633844392525 [0.622472,0.663128]
kappa
0.27543620895974724
kappa
0.2682245494927851
kappa
0.27349167876986646
kappa
0.2843895736938019
kappa
0.2999921019592249
kappa
0.2886132681634662
kappa
0.291769802225223
kappa
0.27238370705583353
kappa
0.2797880684009681
kappa
0.28560065793792067
kb_relative_information_score
2555.717120539021
kb_relative_information_score
2515.7962964459857
kb_relative_information_score
2506.866407315903
kb_relative_information_score
2532.9113911879945
kb_relative_information_score
2688.9029252530913
kb_relative_information_score
2530.013666451428
kb_relative_information_score
2640.2262515765447
kb_relative_information_score
2475.729099606943
kb_relative_information_score
2525.8395959337
kb_relative_information_score
2579.259396475952
mean_absolute_error
0.3693928452419027
mean_absolute_error
0.3714721594743804
mean_absolute_error
0.37216179086600737
mean_absolute_error
0.371196021701018
mean_absolute_error
0.36310413204697467
mean_absolute_error
0.3713035851937087
mean_absolute_error
0.36562343421943977
mean_absolute_error
0.37358632695758276
mean_absolute_error
0.3708816725797869
mean_absolute_error
0.36873196315205253
mean_prior_absolute_error
0.4983707944371693
mean_prior_absolute_error
0.4983707944371693
mean_prior_absolute_error
0.4983707944371693
mean_prior_absolute_error
0.49836496543694453
mean_prior_absolute_error
0.49836496543694453
mean_prior_absolute_error
0.49836496543694453
mean_prior_absolute_error
0.49836496543694453
mean_prior_absolute_error
0.49836496543694453
mean_prior_absolute_error
0.49836496543694453
mean_prior_absolute_error
0.49836496543694453
number_of_instances
9805 [4623,5182]
number_of_instances
9805 [4623,5182]
number_of_instances
9805 [4623,5182]
number_of_instances
9805 [4622,5183]
number_of_instances
9805 [4622,5183]
number_of_instances
9805 [4622,5183]
number_of_instances
9805 [4622,5183]
number_of_instances
9805 [4622,5183]
number_of_instances
9805 [4622,5183]
number_of_instances
9805 [4622,5183]
precision
0.6388961083541689 [0.616796,0.658612]
precision
0.6353860389998066 [0.609777,0.658233]
precision
0.638131999603731 [0.610638,0.66266]
precision
0.6433662596227812 [0.621569,0.662804]
precision
0.6512188225675367 [0.626453,0.673304]
precision
0.6455561621115931 [0.620333,0.668049]
precision
0.6471468219805654 [0.621633,0.669899]
precision
0.6374238351214189 [0.612917,0.659278]
precision
0.6410982933736621 [0.617321,0.662302]
precision
0.6439697246893575 [0.62227,0.66332]
predictive_accuracy
0.6388577256501784
predictive_accuracy
0.634778174400816
predictive_accuracy
0.6371239163691994
predictive_accuracy
0.6433452320244772
predictive_accuracy
0.65068842427333
predictive_accuracy
0.6449770525242223
predictive_accuracy
0.6465068842427333
predictive_accuracy
0.6370219275879654
predictive_accuracy
0.6407955124936257
predictive_accuracy
0.6439571647118817
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
prior_entropy
0.9976424301660018
recall
0.6388577256501785 [0.617997,0.657468]
recall
0.634778174400816 [0.626,0.642609]
recall
0.6371239163691994 [0.635734,0.638364]
recall
0.6433452320244774 [0.622241,0.662165]
recall
0.65068842427333 [0.641497,0.658885]
recall
0.6449770525242223 [0.636305,0.652711]
recall
0.6465068842427333 [0.639117,0.653097]
recall
0.6370219275879653 [0.624189,0.648466]
recall
0.6407955124936257 [0.626136,0.653868]
recall
0.6439571647118817 [0.622674,0.662937]
relative_absolute_error
0.741200827506502
relative_absolute_error
0.7453730507902239
relative_absolute_error
0.7467568224705162
relative_absolute_error
0.7448276814072787
relative_absolute_error
0.7285908063955117
relative_absolute_error
0.7450435141807492
relative_absolute_error
0.7336459413812871
relative_absolute_error
0.7496239761357194
relative_absolute_error
0.7441969205331561
relative_absolute_error
0.739883396154793
root_mean_prior_squared_error
0.4991867593509677
root_mean_prior_squared_error
0.4991867593509677
root_mean_prior_squared_error
0.4991867593509677
root_mean_prior_squared_error
0.4991809208203937
root_mean_prior_squared_error
0.4991809208203937
root_mean_prior_squared_error
0.4991809208203937
root_mean_prior_squared_error
0.4991809208203937
root_mean_prior_squared_error
0.4991809208203937
root_mean_prior_squared_error
0.4991809208203937
root_mean_prior_squared_error
0.4991809208203937
root_mean_squared_error
0.5228929508365479
root_mean_squared_error
0.5234295311251933
root_mean_squared_error
0.5252600810278271
root_mean_squared_error
0.5237605048688899
root_mean_squared_error
0.5176851746426451
root_mean_squared_error
0.5236815492385571
root_mean_squared_error
0.5178463214330931
root_mean_squared_error
0.5258817356931917
root_mean_squared_error
0.5249492231581286
root_mean_squared_error
0.5212214571164284
root_relative_squared_error
1.0474896239563776
root_relative_squared_error
1.0485645328528859
root_relative_squared_error
1.0522315970695204
root_relative_squared_error
1.049239830737321
root_relative_squared_error
1.0370692329182774
root_relative_squared_error
1.0490816603685436
root_relative_squared_error
1.0373920553334113
root_relative_squared_error
1.0534892536135312
root_relative_squared_error
1.0516211683238719
root_relative_squared_error
1.044153402858049
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
usercpu_time_millis
3899.544584000978
usercpu_time_millis
3893.091251000442
usercpu_time_millis
3809.5248399986303
usercpu_time_millis
3875.0741880030546
usercpu_time_millis
3999.290233001375
usercpu_time_millis
3849.335983999481
usercpu_time_millis
3890.011825998954
usercpu_time_millis
3950.723972997366
usercpu_time_millis
3951.2161189995822
usercpu_time_millis
3939.788449999469
usercpu_time_millis_testing
14.415931000257842
usercpu_time_millis_testing
12.769979999575298
usercpu_time_millis_testing
14.11969000037061
usercpu_time_millis_testing
13.098329000058584
usercpu_time_millis_testing
14.599232999898959
usercpu_time_millis_testing
13.670647000253666
usercpu_time_millis_testing
14.62491699930979
usercpu_time_millis_testing
13.412841999524971
usercpu_time_millis_testing
13.577449000877095
usercpu_time_millis_testing
14.37825999892084
usercpu_time_millis_training
3885.12865300072
usercpu_time_millis_training
3880.3212710008665
usercpu_time_millis_training
3795.4051499982597
usercpu_time_millis_training
3861.975859002996
usercpu_time_millis_training
3984.691000001476
usercpu_time_millis_training
3835.6653369992273
usercpu_time_millis_training
3875.386908999644
usercpu_time_millis_training
3937.3111309978412
usercpu_time_millis_training
3937.638669998705
usercpu_time_millis_training
3925.410190000548