5969190
1
Jan van Rijn
9977
Supervised Classification
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4003923
bootstrap
true
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class_weight
null
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criterion
"gini"
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max_depth
null
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max_features
0.1706259312405778
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max_leaf_nodes
null
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min_impurity_split
1e-07
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min_samples_leaf
11
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min_samples_split
13
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min_weight_fraction_leaf
0.0
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n_estimators
100
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n_jobs
1
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oob_score
false
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random_state
49068
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verbose
0
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warm_start
false
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axis
0
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categorical_features
[6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 91, 95, 99, 103, 107, 111, 115]
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copy
true
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fill_empty
0
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missing_values
"NaN"
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strategy
"median"
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strategy_nominal
"most_frequent"
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verbose
0
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categorical_features
[6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 91, 95, 99, 103, 107, 111, 115]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
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n_values
"auto"
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sparse
false
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threshold
0.0
6949
openml-pimp
openml-python
Sklearn_0.18.1.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
12861756
description
https://api.openml.org/data/download/12861756/description.xml
-1
12861755
predictions
https://api.openml.org/data/download/12861755/predictions.arff
area_under_roc_curve
0.992324546256973 [0.992325,0.992325]
average_cost
0
f_measure
0.9616934922593997 [0.93268,0.973294]
kappa
0.905974604546684
kb_relative_information_score
28769.125397370834
mean_absolute_error
0.07157705183078455
mean_prior_absolute_error
0.4080904194746198
number_of_instances
34465 [9844,24621]
precision
0.9616524071204418 [0.937949,0.971129]
predictive_accuracy
0.9617583055273465
prior_entropy
0.8630164444447486
recall
0.9617583055273465 [0.927469,0.975468]
relative_absolute_error
0.17539508014653626
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.1721932972134627
root_relative_squared_error
0.38120262116460224
total_cost
0
area_under_roc_curve
0.9920238224915746 [0.992024,0.992024]
area_under_roc_curve
0.9922839340720062 [0.992284,0.992284]
area_under_roc_curve
0.9907858329862642 [0.990786,0.990786]
area_under_roc_curve
0.9930810244652731 [0.993081,0.993081]
area_under_roc_curve
0.9927560853913495 [0.992756,0.992756]
area_under_roc_curve
0.9930211573642951 [0.993021,0.993021]
area_under_roc_curve
0.9917597068943883 [0.99176,0.99176]
area_under_roc_curve
0.9937195782396492 [0.99372,0.99372]
area_under_roc_curve
0.991876523151909 [0.991877,0.991877]
area_under_roc_curve
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average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
f_measure
0.9622745157413003 [0.933876,0.97362]
f_measure
0.9620017194565158 [0.933536,0.97339]
f_measure
0.9573477212836302 [0.925343,0.970152]
f_measure
0.9651118832327397 [0.93865,0.975699]
f_measure
0.964530414619952 [0.937628,0.975294]
f_measure
0.9585986315681981 [0.926729,0.971336]
f_measure
0.9597061481919165 [0.92962,0.971731]
f_measure
0.9657046577335313 [0.939734,0.976084]
f_measure
0.9639942111906271 [0.936864,0.974838]
f_measure
0.9576344056647198 [0.924675,0.970807]
kappa
0.9074960581938166
kappa
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kappa
0.8954951086516016
kappa
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kappa
0.9129232200191243
kappa
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kappa
0.9013514810438009
kappa
0.9158196071741764
kappa
0.9117013520952599
kappa
0.8955028607208121
kb_relative_information_score
2865.4273236247377
kb_relative_information_score
2879.8579764849983
kb_relative_information_score
2839.3598191003503
kb_relative_information_score
2891.0508972853586
kb_relative_information_score
2886.566218417256
kb_relative_information_score
2863.567896155221
kb_relative_information_score
2879.832960112985
kb_relative_information_score
2916.169399856276
kb_relative_information_score
2881.358187254736
kb_relative_information_score
2865.9347190808726
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
3447 [984,2463]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
precision
0.962263766598074 [0.934827,0.973225]
precision
0.9620076951238887 [0.933063,0.973588]
precision
0.9573414150476103 [0.925813,0.969955]
precision
0.9650753339641684 [0.945417,0.97294]
precision
0.9644925768291103 [0.944387,0.972536]
precision
0.9585822132072829 [0.9413,0.96549]
precision
0.9597584020296556 [0.926337,0.973116]
precision
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precision
0.9639753087294992 [0.938776,0.974047]
precision
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9573542210617929
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
0.8630164444447486
recall
0.9622860458369596 [0.932927,0.974015]
recall
0.961995938497244 [0.93401,0.973193]
recall
0.9573542210617929 [0.924873,0.970349]
recall
0.9651871192341166 [0.93198,0.978473]
recall
0.9646069045546852 [0.930964,0.978067]
recall
0.958792803250145 [0.912602,0.977254]
recall
0.9596633778293674 [0.932927,0.970349]
recall
0.9657573998839234 [0.934959,0.978067]
recall
0.9640162507254788 [0.934959,0.97563]
recall
0.9579222286709228 [0.904472,0.979285]
relative_absolute_error
0.17958117122301015
relative_absolute_error
0.17434589750106622
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
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usercpu_time_millis
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