10096818
1
Jan van Rijn
9976
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)
8021961
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
11
8783
min_samples_split
14
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
8928
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.
1485
madelon
https://www.openml.org/data/download/1590986/phpfLuQE4
-1
21114173
description
https://api.openml.org/data/download/21114173/description.xml
-1
21114175
predictions
https://api.openml.org/data/download/21114175/predictions.arff
area_under_roc_curve
0.8443606508875738 [0.844361,0.844361]
average_cost
0
f_measure
0.7826915040366275 [0.782274,0.783109]
kappa
0.5653846153846154
kb_relative_information_score
1381.8409412415442
mean_absolute_error
0.23751381903303434
mean_prior_absolute_error
0.5
number_of_instances
2600 [1300,1300]
precision
0.7826964895930414 [0.783784,0.781609]
predictive_accuracy
0.7826923076923077
prior_entropy
1
recall
0.7826923076923077 [0.780769,0.784615]
relative_absolute_error
0.4750276380660686
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.41009428062043923
root_relative_squared_error
0.8201885612408785
total_cost
0
area_under_roc_curve
0.8429289940828403 [0.842929,0.842929]
area_under_roc_curve
0.8577514792899408 [0.857751,0.857751]
area_under_roc_curve
0.8505029585798817 [0.850503,0.850503]
area_under_roc_curve
0.8692011834319526 [0.869201,0.869201]
area_under_roc_curve
0.8798520710059171 [0.879852,0.879852]
area_under_roc_curve
0.8381360946745562 [0.838136,0.838136]
area_under_roc_curve
0.8567751479289941 [0.856775,0.856775]
area_under_roc_curve
0.7655325443786982 [0.765533,0.765533]
area_under_roc_curve
0.8279585798816568 [0.827959,0.827959]
area_under_roc_curve
0.8505621301775148 [0.850562,0.850562]
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
0.8115133671642674 [0.809339,0.813688]
f_measure
0.7769230769230768 [0.776923,0.776923]
f_measure
0.8074074074074074 [0.8,0.814815]
f_measure
0.7883832778394376 [0.784314,0.792453]
f_measure
0.8306088604596067 [0.825397,0.835821]
f_measure
0.7692171134386651 [0.767442,0.770992]
f_measure
0.7960784313725489 [0.8,0.792157]
f_measure
0.7153172348484849 [0.719697,0.710938]
f_measure
0.7611851851851852 [0.77037,0.752]
f_measure
0.7691761363636365 [0.772727,0.765625]
kappa
0.6230769230769231
kappa
0.5538461538461539
kappa
0.6153846153846154
kappa
0.5769230769230769
kappa
0.6615384615384616
kappa
0.5384615384615385
kappa
0.5923076923076922
kappa
0.4307692307692308
kappa
0.523076923076923
kappa
0.5384615384615385
kb_relative_information_score
142.08852923443948
kb_relative_information_score
145.09264881965927
kb_relative_information_score
138.19654001699578
kb_relative_information_score
148.5097004966093
kb_relative_information_score
153.0810978967416
kb_relative_information_score
141.62808328103944
kb_relative_information_score
140.20422563244603
kb_relative_information_score
100.81593233269459
kb_relative_information_score
132.5915243130987
kb_relative_information_score
139.63265921782252
mean_absolute_error
0.23260736255422504
mean_absolute_error
0.22167663585917943
mean_absolute_error
0.2383111032744875
mean_absolute_error
0.21740510974167807
mean_absolute_error
0.21056162804674358
mean_absolute_error
0.22878802728588396
mean_absolute_error
0.2349391025674069
mean_absolute_error
0.3089487649433469
mean_absolute_error
0.2479633658197008
mean_absolute_error
0.23393709023769754
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
precision
0.8117044579953822 [0.818898,0.804511]
precision
0.7769230769230769 [0.776923,0.776923]
precision
0.8095238095238095 [0.833333,0.785714]
precision
0.7888888888888889 [0.8,0.777778]
precision
0.8320266096459967 [0.852459,0.811594]
precision
0.7692945075757576 [0.773438,0.765152]
precision
0.7965925925925926 [0.785185,0.808]
precision
0.7155887230514095 [0.708955,0.722222]
precision
0.763095238095238 [0.742857,0.783333]
precision
0.769485903814262 [0.761194,0.777778]
predictive_accuracy
0.8115384615384617
predictive_accuracy
0.7769230769230769
predictive_accuracy
0.8076923076923077
predictive_accuracy
0.7884615384615384
predictive_accuracy
0.8307692307692308
predictive_accuracy
0.7692307692307692
predictive_accuracy
0.7961538461538461
predictive_accuracy
0.7153846153846153
predictive_accuracy
0.7615384615384616
predictive_accuracy
0.7692307692307692
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
recall
0.8115384615384615 [0.8,0.823077]
recall
0.7769230769230769 [0.776923,0.776923]
recall
0.8076923076923077 [0.769231,0.846154]
recall
0.7884615384615384 [0.769231,0.807692]
recall
0.8307692307692308 [0.8,0.861538]
recall
0.7692307692307693 [0.761538,0.776923]
recall
0.7961538461538461 [0.815385,0.776923]
recall
0.7153846153846154 [0.730769,0.7]
recall
0.7615384615384615 [0.8,0.723077]
recall
0.7692307692307693 [0.784615,0.753846]
relative_absolute_error
0.4652147251084501
relative_absolute_error
0.44335327171835887
relative_absolute_error
0.476622206548975
relative_absolute_error
0.4348102194833562
relative_absolute_error
0.42112325609348716
relative_absolute_error
0.4575760545717679
relative_absolute_error
0.4698782051348138
relative_absolute_error
0.6178975298866938
relative_absolute_error
0.4959267316394016
relative_absolute_error
0.4678741804753951
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.4088011462546713
root_mean_squared_error
0.4013932809329738
root_mean_squared_error
0.40621874871213215
root_mean_squared_error
0.38344004932862114
root_mean_squared_error
0.37174667097212394
root_mean_squared_error
0.41642308005775097
root_mean_squared_error
0.3967226052887284
root_mean_squared_error
0.4787031698488221
root_mean_squared_error
0.42357999199444707
root_mean_squared_error
0.40488143278280514
root_relative_squared_error
0.8176022925093426
root_relative_squared_error
0.8027865618659475
root_relative_squared_error
0.8124374974242643
root_relative_squared_error
0.7668800986572423
root_relative_squared_error
0.7434933419442479
root_relative_squared_error
0.8328461601155019
root_relative_squared_error
0.7934452105774568
root_relative_squared_error
0.9574063396976442
root_relative_squared_error
0.8471599839888941
root_relative_squared_error
0.8097628655656102
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
670.1505750006618
usercpu_time_millis
585.8177680001972
usercpu_time_millis
582.1833280006103
usercpu_time_millis
561.1535089992685
usercpu_time_millis
564.6710339997298
usercpu_time_millis
556.8264109997472
usercpu_time_millis
579.8677330003557
usercpu_time_millis
583.0162520005615
usercpu_time_millis
591.4874069994767
usercpu_time_millis
579.5564459995148
usercpu_time_millis_testing
4.774442000780255
usercpu_time_millis_testing
4.741941999782284
usercpu_time_millis_testing
4.725225000584032
usercpu_time_millis_testing
5.300412999531545
usercpu_time_millis_testing
4.840849999709462
usercpu_time_millis_testing
4.800855999747
usercpu_time_millis_testing
4.7956560001694015
usercpu_time_millis_testing
4.902351000055205
usercpu_time_millis_testing
4.806652999832295
usercpu_time_millis_testing
4.749384999740869
usercpu_time_millis_training
665.3761329998815
usercpu_time_millis_training
581.075826000415
usercpu_time_millis_training
577.4581030000263
usercpu_time_millis_training
555.853095999737
usercpu_time_millis_training
559.8301840000204
usercpu_time_millis_training
552.0255550000002
usercpu_time_millis_training
575.0720770001863
usercpu_time_millis_training
578.1139010005063
usercpu_time_millis_training
586.6807539996444
usercpu_time_millis_training
574.807060999774