10148824
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)
8074453
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"most_frequent"
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
"entropy"
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
12
8783
min_samples_split
18
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
21702
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
21218187
description
https://api.openml.org/data/download/21218187/description.xml
-1
21218188
predictions
https://api.openml.org/data/download/21218188/predictions.arff
area_under_roc_curve
0.7025825376921396 [0.702583,0.702583]
average_cost
0
f_measure
0.6452709042675261 [0.626811,0.661735]
kappa
0.2885921959202301
kb_relative_information_score
25772.688468272663
mean_absolute_error
0.3693057150653884
mean_prior_absolute_error
0.4983667141368659
number_of_instances
98050 [46223,51827]
precision
0.6454956813278685 [0.621538,0.666863]
predictive_accuracy
0.6451300356960735
prior_entropy
0.9976424301660018
recall
0.6451300356960734 [0.632174,0.656685]
relative_absolute_error
0.7410320645209992
root_mean_prior_squared_error
0.4991826723867985
root_mean_squared_error
0.5099985832214753
root_relative_squared_error
1.0216672401366849
total_cost
0
area_under_roc_curve
0.7087974162713858 [0.708797,0.708797]
area_under_roc_curve
0.7053956510802589 [0.705396,0.705396]
area_under_roc_curve
0.7057568282628273 [0.705757,0.705757]
area_under_roc_curve
0.7041908719824563 [0.704191,0.704191]
area_under_roc_curve
0.7013127203378419 [0.701313,0.701313]
area_under_roc_curve
0.6982562613370126 [0.698256,0.698256]
area_under_roc_curve
0.7019172079476617 [0.701917,0.701917]
area_under_roc_curve
0.6923159318321982 [0.692316,0.692316]
area_under_roc_curve
0.7004223106312427 [0.700422,0.700422]
area_under_roc_curve
0.707461579492187 [0.707462,0.707462]
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
0.6459889448045966 [0.626506,0.66337]
f_measure
0.6476432180090153 [0.628786,0.664466]
f_measure
0.650409844673813 [0.632042,0.666796]
f_measure
0.6447447506457592 [0.62465,0.662665]
f_measure
0.6421078342495801 [0.622174,0.659884]
f_measure
0.6445126887648205 [0.629645,0.657771]
f_measure
0.6452971223582947 [0.626195,0.662331]
f_measure
0.6390859307884968 [0.619845,0.656244]
f_measure
0.6444972277898084 [0.625738,0.661226]
f_measure
0.6483568634106972 [0.632431,0.662559]
kappa
0.2898947162289296
kappa
0.2932824576877698
kappa
0.2988772537707769
kappa
0.28732519599766093
kappa
0.2820739472668742
kappa
0.2876408483312366
kappa
0.28855614413374603
kappa
0.2761241965555644
kappa
0.2870035944866813
kappa
0.2951380743607062
kb_relative_information_score
2657.9580725856476
kb_relative_information_score
2629.4347379198634
kb_relative_information_score
2633.419604240031
kb_relative_information_score
2594.7273505675585
kb_relative_information_score
2525.677643077615
kb_relative_information_score
2516.425419735637
kb_relative_information_score
2567.6310661507623
kb_relative_information_score
2443.2856329937345
kb_relative_information_score
2572.5711885363567
kb_relative_information_score
2631.557752461675
mean_absolute_error
0.36508852377675316
mean_absolute_error
0.36693539006090936
mean_absolute_error
0.3667286137708602
mean_absolute_error
0.36816009116207055
mean_absolute_error
0.3717161445335631
mean_absolute_error
0.3724568197542744
mean_absolute_error
0.36967253461397837
mean_absolute_error
0.375829878339334
mean_absolute_error
0.36978340973939433
mean_absolute_error
0.36668574490280725
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
0.6461165090470448 [0.623154,0.666602]
precision
0.6478148032268998 [0.624493,0.668621]
precision
0.650611262415137 [0.627129,0.67156]
precision
0.6448377697785317 [0.622103,0.665112]
precision
0.6422245336760385 [0.619109,0.662838]
precision
0.6451676813437311 [0.618224,0.669195]
precision
0.6454664492658876 [0.621985,0.666406]
precision
0.6392735633738168 [0.615352,0.660606]
precision
0.6447007176996928 [0.620873,0.665949]
precision
0.6488466717094794 [0.623006,0.67189]
predictive_accuracy
0.6458949515553288
predictive_accuracy
0.6475267720550739
predictive_accuracy
0.6502804691483937
predictive_accuracy
0.64467108618052
predictive_accuracy
0.6420193778684344
predictive_accuracy
0.644263131055584
predictive_accuracy
0.6451810300866905
predictive_accuracy
0.6389597144314125
predictive_accuracy
0.644365119836818
predictive_accuracy
0.6481387047424784
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
0.6458949515553289 [0.629894,0.66017]
recall
0.6475267720550739 [0.633139,0.660363]
recall
0.6502804691483937 [0.637032,0.6621]
recall
0.6446710861805202 [0.627218,0.660235]
recall
0.6420193778684344 [0.62527,0.656955]
recall
0.6442631310555839 [0.641497,0.64673]
recall
0.6451810300866905 [0.630463,0.658306]
recall
0.6389597144314125 [0.624405,0.651939]
recall
0.644365119836818 [0.630679,0.65657]
recall
0.6481387047424784 [0.642146,0.653483]
relative_absolute_error
0.732564042379455
relative_absolute_error
0.7362698499925234
relative_absolute_error
0.735854945482955
relative_absolute_error
0.7387358997823692
relative_absolute_error
0.7458713399078098
relative_absolute_error
0.7473575503601475
relative_absolute_error
0.741770710727761
relative_absolute_error
0.7541258001750241
relative_absolute_error
0.7419931884962749
relative_absolute_error
0.7357775332006199
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
0.5060487028791114
root_mean_squared_error
0.508330941781111
root_mean_squared_error
0.5075081265807219
root_mean_squared_error
0.5101531312115751
root_mean_squared_error
0.5095977893735297
root_mean_squared_error
0.5122804792809494
root_mean_squared_error
0.5103961875980538
root_mean_squared_error
0.517030835065116
root_mean_squared_error
0.5115235848761839
root_mean_squared_error
0.5070270900029803
root_relative_squared_error
1.013746245066807
root_relative_squared_error
1.0183181590033206
root_relative_squared_error
1.0166698476549607
root_relative_squared_error
1.0219804282045652
root_relative_squared_error
1.0208679220672459
root_relative_squared_error
1.0262421056458384
root_relative_squared_error
1.0224673386138798
root_relative_squared_error
1.0357584064218366
root_relative_squared_error
1.0247258329415019
root_relative_squared_error
1.0157180870809155
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
118834.74336399922
usercpu_time_millis
115030.99186200052
usercpu_time_millis
114911.00720899977
usercpu_time_millis
114040.92784299975
usercpu_time_millis
113138.06995100003
usercpu_time_millis
113656.65496899965
usercpu_time_millis
113813.41463200079
usercpu_time_millis
113456.49460200002
usercpu_time_millis
121627.44467999984
usercpu_time_millis
121280.48895600022
usercpu_time_millis_testing
13.231901999461115
usercpu_time_millis_testing
14.129735000096844
usercpu_time_millis_testing
13.648414999806846
usercpu_time_millis_testing
12.245733999407094
usercpu_time_millis_testing
12.210617000164348
usercpu_time_millis_testing
11.993524999525107
usercpu_time_millis_testing
12.48486700023932
usercpu_time_millis_testing
12.669085999732488
usercpu_time_millis_testing
13.787345999844547
usercpu_time_millis_testing
13.282340999467124
usercpu_time_millis_training
118821.51146199976
usercpu_time_millis_training
115016.86212700042
usercpu_time_millis_training
114897.35879399996
usercpu_time_millis_training
114028.68210900034
usercpu_time_millis_training
113125.85933399986
usercpu_time_millis_training
113644.66144400011
usercpu_time_millis_training
113800.92976500055
usercpu_time_millis_training
113443.82551600029
usercpu_time_millis_training
121613.65733399999
usercpu_time_millis_training
121267.20661500076