8778409
4009
Vishal Chouskey
9914
Supervised Classification
7694
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(4)
6753729
categorical_features
[]
7256
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7256
handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
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bootstrap
false
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class_weight
null
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criterion
"entropy"
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max_depth
null
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max_features
0.8427814261221406
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max_leaf_nodes
null
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min_impurity_split
1e-07
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min_samples_leaf
7
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min_samples_split
6
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min_weight_fraction_leaf
0.0
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n_estimators
10
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n_jobs
1
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oob_score
false
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random_state
49243
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verbose
0
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warm_start
false
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threshold
0.0
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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
"mean"
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strategy_nominal
"most_frequent"
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verbose
0
7660
openml-pimp
openml-python
Sklearn_0.18.2.
1570
wilt
https://www.openml.org/data/download/1675983/phpnThNfi
-1
18473039
description
https://api.openml.org/data/download/18473039/description.xml
-1
18473040
predictions
https://api.openml.org/data/download/18473040/predictions.arff
area_under_roc_curve
0.9734462170400164 [0.973446,0.973446]
average_cost
0
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number_of_instances
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precision
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predictive_accuracy
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root_mean_prior_squared_error
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total_cost
0
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0.9907205240174672 [0.990721,0.990721]
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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
0.9547363117232113 [0.954736,0.954736]
area_under_roc_curve
0.9559539805172993 [0.955954,0.955954]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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average_cost
0
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0
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0
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0
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0
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0
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0
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0
average_cost
0
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0
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0.9859078688910412 [0.992333,0.872727]
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f_measure
0.9815702223710548 [0.990164,0.830189]
f_measure
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f_measure
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f_measure
0.991585627552281 [0.995633,0.923077]
f_measure
0.9879939935840557 [0.993407,0.892857]
kappa
0.7891251307075632
kappa
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kappa
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kappa
0.8734750784245386
kappa
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kappa
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kappa
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kappa
0.8374202216996981
kappa
0.9187169367705099
kappa
0.8862994350282484
kb_relative_information_score
286.0567962593132
kb_relative_information_score
276.2148690376412
kb_relative_information_score
292.8523661638858
kb_relative_information_score
378.98769725962075
kb_relative_information_score
264.2171596623837
kb_relative_information_score
268.64121022773656
kb_relative_information_score
298.0589301471819
kb_relative_information_score
336.1572830850835
kb_relative_information_score
358.1739590335864
kb_relative_information_score
329.9866823723003
mean_absolute_error
0.026952958657510642
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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number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [457,27]
number_of_instances
483 [457,26]
precision
0.9787040364115464 [0.986957,0.833333]
precision
0.9768865121806298 [0.986928,0.8]
precision
0.9865786251366189 [0.995604,0.827586]
precision
0.9872948856150436 [0.991304,0.916667]
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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prior_entropy
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recall
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recall
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recall
0.9855371900826446 [0.989083,0.923077]
recall
0.987603305785124 [0.995633,0.846154]
recall
0.9772727272727273 [0.989083,0.769231]
recall
0.981404958677686 [0.989083,0.846154]
recall
0.987603305785124 [0.997817,0.807692]
recall
0.9834710743801653 [0.991266,0.846154]
recall
0.9917355371900827 [0.997812,0.888889]
recall
0.9875776397515528 [0.989059,0.961538]
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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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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root_relative_squared_error
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root_relative_squared_error
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total_cost
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total_cost
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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