8810121
1
Jan van Rijn
9977
Supervised Classification
7707
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
6785202
axis
0
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categorical_features
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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
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
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threshold
0.0
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copy
true
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with_mean
false
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with_std
true
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C
1135.9931493501965
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cache_size
200
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class_weight
null
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coef0
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decision_function_shape
null
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degree
1
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gamma
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kernel
"rbf"
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max_iter
-1
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probability
true
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random_state
4601
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shrinking
true
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tol
0.05403920799150269
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verbose
false
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openml-pimp
openml-python
Sklearn_0.18.1.
study_71
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
18536185
description
https://api.openml.org/data/download/18536185/description.xml
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18536186
predictions
https://api.openml.org/data/download/18536186/predictions.arff
area_under_roc_curve
0.9522763053548765 [0.952276,0.952276]
average_cost
0
f_measure
0.8654980860589085 [0.731631,0.919021]
kappa
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kb_relative_information_score
18961.099685446345
mean_absolute_error
0.18606088774952603
mean_prior_absolute_error
0.4080904194746198
number_of_instances
34465 [9844,24621]
precision
0.8857067257650733 [0.952886,0.858847]
predictive_accuracy
0.8755839257217467
prior_entropy
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recall
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relative_absolute_error
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root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
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total_cost
0
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area_under_roc_curve
0.971462060888964 [0.971462,0.971462]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.9684001410476133 [0.9684,0.9684]
area_under_roc_curve
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area_under_roc_curve
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average_cost
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f_measure
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f_measure
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f_measure
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f_measure
0.8702984365342342 [0.74321,0.921093]
f_measure
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f_measure
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f_measure
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
1847.6517601726564
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
1912.9557484839033
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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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_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
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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
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
3446 [984,2462]
precision
0.8758858796708399 [0.947826,0.847145]
precision
0.8868790632733081 [0.949045,0.862008]
precision
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precision
0.8870895270548573 [0.953226,0.86063]
precision
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precision
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precision
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precision
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precision
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precision
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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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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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recall
0.8639396576733391 [0.553862,0.98782]
recall
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recall
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recall
0.8772845953002611 [0.6,0.988221]
recall
0.8790252393385553 [0.598985,0.991064]
recall
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recall
0.8792803250145096 [0.611789,0.98619]
recall
0.8772489843296576 [0.603659,0.986596]
recall
0.8717353453279164 [0.578252,0.989033]
recall
0.8726059199071388 [0.57622,0.991064]
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_relative_squared_error
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usercpu_time_millis
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