10092940
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)
8018050
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
13
8783
min_samples_split
11
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
42108
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
21106417
description
https://api.openml.org/data/download/21106417/description.xml
-1
21106418
predictions
https://api.openml.org/data/download/21106418/predictions.arff
area_under_roc_curve
0.8386402366863906 [0.83864,0.83864]
average_cost
0
f_measure
0.7853834724563622 [0.785879,0.784888]
kappa
0.5707692307692307
kb_relative_information_score
1337.360055600798
mean_absolute_error
0.24746909082208005
mean_prior_absolute_error
0.5
number_of_instances
2600 [1300,1300]
precision
0.7853906947130236 [0.784074,0.786708]
predictive_accuracy
0.7853846153846153
prior_entropy
1
recall
0.7853846153846153 [0.787692,0.783077]
relative_absolute_error
0.49493818164416015
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.41262622846663877
root_relative_squared_error
0.8252524569332774
total_cost
0
area_under_roc_curve
0.8345562130177515 [0.834556,0.834556]
area_under_roc_curve
0.8183727810650887 [0.818373,0.818373]
area_under_roc_curve
0.83698224852071 [0.836982,0.836982]
area_under_roc_curve
0.8514497041420118 [0.85145,0.85145]
area_under_roc_curve
0.8774556213017751 [0.877456,0.877456]
area_under_roc_curve
0.8351183431952662 [0.835118,0.835118]
area_under_roc_curve
0.8734023668639054 [0.873402,0.873402]
area_under_roc_curve
0.7778994082840237 [0.777899,0.777899]
area_under_roc_curve
0.8422781065088757 [0.842278,0.842278]
area_under_roc_curve
0.8350295857988166 [0.83503,0.83503]
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
0.7961508306335893 [0.795367,0.796935]
f_measure
0.7692171134386651 [0.770992,0.767442]
f_measure
0.7960059806664594 [0.790514,0.801498]
f_measure
0.7883832778394376 [0.784314,0.792453]
f_measure
0.8345541990381058 [0.837736,0.831373]
f_measure
0.7765925925925925 [0.785185,0.768]
f_measure
0.8114017557105003 [0.806324,0.816479]
f_measure
0.7187273077550053 [0.730627,0.706827]
f_measure
0.7884584091480643 [0.789272,0.787645]
f_measure
0.773046707401873 [0.770428,0.775665]
kappa
0.5923076923076922
kappa
0.5384615384615385
kappa
0.5923076923076922
kappa
0.5769230769230769
kappa
0.6692307692307693
kappa
0.5538461538461539
kappa
0.6230769230769231
kappa
0.43846153846153846
kappa
0.5769230769230769
kappa
0.5461538461538462
kb_relative_information_score
132.12880358246414
kb_relative_information_score
126.63385021361889
kb_relative_information_score
135.8473968290183
kb_relative_information_score
145.8417972596813
kb_relative_information_score
152.2017879485649
kb_relative_information_score
136.1420064057651
kb_relative_information_score
139.83472191637853
kb_relative_information_score
101.5455944594236
kb_relative_information_score
132.86374581524638
kb_relative_information_score
134.32035117063455
mean_absolute_error
0.2517261359872698
mean_absolute_error
0.2612748284190761
mean_absolute_error
0.2426934113177241
mean_absolute_error
0.22351556325382138
mean_absolute_error
0.2141515164192407
mean_absolute_error
0.24135386956326477
mean_absolute_error
0.23730345352665488
mean_absolute_error
0.30820274745635345
mean_absolute_error
0.24952484481330642
mean_absolute_error
0.24494453746408787
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
0.7961713710870465 [0.79845,0.793893]
precision
0.7692945075757576 [0.765152,0.773438]
precision
0.7970150139457599 [0.813008,0.781022]
precision
0.7888888888888889 [0.8,0.777778]
precision
0.835111111111111 [0.822222,0.848]
precision
0.7785714285714286 [0.757143,0.8]
precision
0.8124443653195657 [0.829268,0.79562]
precision
0.7208117289468978 [0.702128,0.739496]
precision
0.7884786082016686 [0.78626,0.790698]
precision
0.7732224261441003 [0.779528,0.766917]
predictive_accuracy
0.7961538461538461
predictive_accuracy
0.7692307692307692
predictive_accuracy
0.7961538461538461
predictive_accuracy
0.7884615384615384
predictive_accuracy
0.8346153846153846
predictive_accuracy
0.7769230769230769
predictive_accuracy
0.8115384615384617
predictive_accuracy
0.7192307692307692
predictive_accuracy
0.7884615384615384
predictive_accuracy
0.7730769230769231
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
0.7961538461538461 [0.792308,0.8]
recall
0.7692307692307693 [0.776923,0.761538]
recall
0.7961538461538461 [0.769231,0.823077]
recall
0.7884615384615384 [0.769231,0.807692]
recall
0.8346153846153846 [0.853846,0.815385]
recall
0.7769230769230769 [0.815385,0.738462]
recall
0.8115384615384615 [0.784615,0.838462]
recall
0.7192307692307692 [0.761538,0.676923]
recall
0.7884615384615384 [0.792308,0.784615]
recall
0.7730769230769231 [0.761538,0.784615]
relative_absolute_error
0.5034522719745396
relative_absolute_error
0.5225496568381522
relative_absolute_error
0.4853868226354482
relative_absolute_error
0.44703112650764276
relative_absolute_error
0.4283030328384815
relative_absolute_error
0.48270773912652953
relative_absolute_error
0.47460690705330977
relative_absolute_error
0.6164054949127069
relative_absolute_error
0.49904968962661284
relative_absolute_error
0.48988907492817574
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
0.4162436680113261
root_mean_squared_error
0.4282548852424436
root_mean_squared_error
0.416051060699643
root_mean_squared_error
0.39454820469598273
root_mean_squared_error
0.36938653903932284
root_mean_squared_error
0.4188560397650183
root_mean_squared_error
0.3811620391690071
root_mean_squared_error
0.46391286315643515
root_mean_squared_error
0.41328318459297925
root_mean_squared_error
0.41711725295231994
root_relative_squared_error
0.8324873360226522
root_relative_squared_error
0.8565097704848871
root_relative_squared_error
0.832102121399286
root_relative_squared_error
0.7890964093919655
root_relative_squared_error
0.7387730780786457
root_relative_squared_error
0.8377120795300366
root_relative_squared_error
0.7623240783380142
root_relative_squared_error
0.9278257263128702
root_relative_squared_error
0.8265663691859585
root_relative_squared_error
0.8342345059046399
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
686.8581430007907
usercpu_time_millis
555.4718499988667
usercpu_time_millis
530.1824250000209
usercpu_time_millis
518.60642399879
usercpu_time_millis
512.7468279988534
usercpu_time_millis
522.2235909986921
usercpu_time_millis
533.7026519973733
usercpu_time_millis
537.3524679998809
usercpu_time_millis
553.4765059983329
usercpu_time_millis
544.2806750015734
usercpu_time_millis_testing
4.694225999628543
usercpu_time_millis_testing
4.788529999132152
usercpu_time_millis_testing
4.954726000505616
usercpu_time_millis_testing
4.73739999870304
usercpu_time_millis_testing
4.774167999130441
usercpu_time_millis_testing
4.762881999340607
usercpu_time_millis_testing
4.7541949988954
usercpu_time_millis_testing
4.7806429993215716
usercpu_time_millis_testing
4.866891998972278
usercpu_time_millis_testing
4.71384900083649
usercpu_time_millis_training
682.1639170011622
usercpu_time_millis_training
550.6833199997345
usercpu_time_millis_training
525.2276989995153
usercpu_time_millis_training
513.8690240000869
usercpu_time_millis_training
507.97265999972296
usercpu_time_millis_training
517.4607089993515
usercpu_time_millis_training
528.9484569984779
usercpu_time_millis_training
532.5718250005593
usercpu_time_millis_training
548.6096139993606
usercpu_time_millis_training
539.5668260007369