10151023
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)
8076672
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"mean"
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
10
8783
min_samples_split
7
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
6281
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
21222585
description
https://api.openml.org/data/download/21222585/description.xml
-1
21222586
predictions
https://api.openml.org/data/download/21222586/predictions.arff
area_under_roc_curve
0.6979299186431053 [0.69793,0.69793]
average_cost
0
f_measure
0.6456728239814012 [0.628505,0.660984]
kappa
0.28958258065187314
kb_relative_information_score
25720.430060362494
mean_absolute_error
0.3696397001986329
mean_prior_absolute_error
0.4983667141368659
number_of_instances
98050 [46223,51827]
precision
0.6460275569460505 [0.621058,0.668297]
predictive_accuracy
0.6454869964303928
prior_entropy
0.9976424301660018
recall
0.6454869964303926 [0.636134,0.653829]
relative_absolute_error
0.7417022239112043
root_mean_prior_squared_error
0.4991826723867985
root_mean_squared_error
0.5136281240289226
root_relative_squared_error
1.0289382072760145
total_cost
0
area_under_roc_curve
0.7004686975739997 [0.700469,0.700469]
area_under_roc_curve
0.6965280364074949 [0.696528,0.696528]
area_under_roc_curve
0.6984513649095485 [0.698451,0.698451]
area_under_roc_curve
0.6948008597157117 [0.694801,0.694801]
area_under_roc_curve
0.70715434733914 [0.707154,0.707154]
area_under_roc_curve
0.6946272485031407 [0.694627,0.694627]
area_under_roc_curve
0.7046520124165203 [0.704652,0.704652]
area_under_roc_curve
0.6924432286325672 [0.692443,0.692443]
area_under_roc_curve
0.6923238839687682 [0.692324,0.692324]
area_under_roc_curve
0.6976695982012893 [0.69767,0.69767]
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
0.6466543250080974 [0.626173,0.664926]
f_measure
0.6437364575937539 [0.626563,0.659058]
f_measure
0.6492799980512762 [0.633741,0.663142]
f_measure
0.6421088236054605 [0.624853,0.657497]
f_measure
0.6536188596128641 [0.636655,0.668746]
f_measure
0.643254281202701 [0.626866,0.657869]
f_measure
0.6506404706659284 [0.63671,0.663063]
f_measure
0.6369325860721372 [0.620175,0.651876]
f_measure
0.6430370039625893 [0.626174,0.658075]
f_measure
0.6473777046489815 [0.627049,0.665506]
kappa
0.29110320075298346
kappa
0.2857153874570333
kappa
0.2970464056603975
kappa
0.2824488250593259
kappa
0.3054860477642904
kappa
0.2848725267435897
kappa
0.30004195807341394
kappa
0.2721875374712217
kappa
0.28436348924545807
kappa
0.2925608671122297
kb_relative_information_score
2607.0228630556658
kb_relative_information_score
2565.449662695999
kb_relative_information_score
2600.927582670336
kb_relative_information_score
2530.2597663747924
kb_relative_information_score
2702.0764137961482
kb_relative_information_score
2512.4613088533506
kb_relative_information_score
2678.0075030934254
kb_relative_information_score
2469.888592511998
kb_relative_information_score
2493.0636682091103
kb_relative_information_score
2561.2726990981687
mean_absolute_error
0.3677504754114061
mean_absolute_error
0.3700825983725088
mean_absolute_error
0.36837695896635964
mean_absolute_error
0.37156516679006163
mean_absolute_error
0.36322184983745204
mean_absolute_error
0.37272864849650633
mean_absolute_error
0.36443944432056735
mean_absolute_error
0.3742694137013301
mean_absolute_error
0.3734406882571198
mean_absolute_error
0.3705217578330778
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
0.6467068895864577 [0.624623,0.666408]
precision
0.6440945114231358 [0.619088,0.666404]
precision
0.649802911123613 [0.623847,0.672958]
precision
0.6424767110520793 [0.617268,0.664957]
precision
0.6539540356035795 [0.629387,0.675862]
precision
0.643716505858949 [0.617907,0.666733]
precision
0.65139685972635 [0.624013,0.675816]
precision
0.6373868311666608 [0.611438,0.660527]
precision
0.6434441648311143 [0.617994,0.66614]
precision
0.6474431673571569 [0.625161,0.667313]
predictive_accuracy
0.6466088730239673
predictive_accuracy
0.6435492095869455
predictive_accuracy
0.6490566037735849
predictive_accuracy
0.6419173890872004
predictive_accuracy
0.6534421213666497
predictive_accuracy
0.6430392656807752
predictive_accuracy
0.6503824579296277
predictive_accuracy
0.6367159612442631
predictive_accuracy
0.6428352881183069
predictive_accuracy
0.6473227944926059
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
0.6466088730239674 [0.627731,0.66345]
recall
0.6435492095869454 [0.63422,0.651872]
recall
0.6490566037735849 [0.643954,0.653609]
recall
0.6419173890872004 [0.632627,0.650203]
recall
0.6534421213666497 [0.644093,0.661779]
recall
0.6430392656807751 [0.636088,0.649238]
recall
0.6503824579296278 [0.649935,0.650781]
recall
0.6367159612442631 [0.629165,0.64345]
recall
0.642835288118307 [0.634574,0.650203]
recall
0.6473227944926058 [0.628949,0.663708]
relative_absolute_error
0.737905349824365
relative_absolute_error
0.7425848434606973
relative_absolute_error
0.739162412962788
relative_absolute_error
0.7455683937659815
relative_absolute_error
0.7288270143929461
relative_absolute_error
0.7479029914747602
relative_absolute_error
0.7312701927211974
relative_absolute_error
0.7509946317618597
relative_absolute_error
0.749331743112607
relative_absolute_error
0.7434747294248916
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
0.5128449172372813
root_mean_squared_error
0.5143556363806984
root_mean_squared_error
0.5133800049204834
root_mean_squared_error
0.5163721834179577
root_mean_squared_error
0.5075157187610889
root_mean_squared_error
0.5154688924982931
root_mean_squared_error
0.5090062864906446
root_mean_squared_error
0.5171429172828897
root_mean_squared_error
0.5173269351529091
root_mean_squared_error
0.5127727259921305
root_relative_squared_error
1.0273608176308036
root_relative_squared_error
1.0303871782365641
root_relative_squared_error
1.0284327364531254
root_relative_squared_error
1.03443894163525
root_relative_squared_error
1.016696948126537
root_relative_squared_error
1.0326293954727483
root_relative_squared_error
1.019682975170812
root_relative_squared_error
1.0359829386767745
root_relative_squared_error
1.0363515783069046
root_relative_squared_error
1.0272282144706153
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
3638.9315630003694
usercpu_time_millis
3397.613168001044
usercpu_time_millis
3421.159039999111
usercpu_time_millis
3455.712068001958
usercpu_time_millis
3525.624842999605
usercpu_time_millis
3501.169301000118
usercpu_time_millis
3492.872962000547
usercpu_time_millis
3517.0120440016035
usercpu_time_millis
3515.5242979999457
usercpu_time_millis
3474.139511998146
usercpu_time_millis_testing
13.507207000657218
usercpu_time_millis_testing
14.671613000245998
usercpu_time_millis_testing
14.058725999348098
usercpu_time_millis_testing
13.786851000986644
usercpu_time_millis_testing
13.873982999939471
usercpu_time_millis_testing
13.694716999452794
usercpu_time_millis_testing
14.283370999692124
usercpu_time_millis_testing
13.611086000310024
usercpu_time_millis_testing
13.320342000952223
usercpu_time_millis_testing
13.240975998996873
usercpu_time_millis_training
3625.424355999712
usercpu_time_millis_training
3382.941555000798
usercpu_time_millis_training
3407.100313999763
usercpu_time_millis_training
3441.9252170009713
usercpu_time_millis_training
3511.7508599996654
usercpu_time_millis_training
3487.4745840006653
usercpu_time_millis_training
3478.589591000855
usercpu_time_millis_training
3503.4009580012935
usercpu_time_millis_training
3502.2039559989935
usercpu_time_millis_training
3460.8985359991493