8778571
4009
Vishal Chouskey
3485
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)
6753888
categorical_features
[294, 295, 296, 297, 298]
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7256
handle_unknown
"ignore"
7256
n_values
"auto"
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sparse
true
7256
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
0.6196061231000998
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max_leaf_nodes
null
7257
min_impurity_split
1e-07
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min_samples_leaf
4
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min_samples_split
7
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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
54953
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verbose
0
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warm_start
false
7257
threshold
0.0
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axis
0
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categorical_features
[294, 295, 296, 297, 298]
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copy
true
7660
fill_empty
0
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missing_values
"NaN"
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strategy
"most_frequent"
7660
strategy_nominal
"most_frequent"
7660
verbose
0
7660
openml-pimp
openml-python
Sklearn_0.18.2.
312
scene
https://www.openml.org/data/download/1390080/phpuZu33P
-1
18473363
description
https://api.openml.org/data/download/18473363/description.xml
-1
18473364
predictions
https://api.openml.org/data/download/18473364/predictions.arff
area_under_roc_curve
0.9754190659139372 [0.975419,0.975419]
average_cost
0
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kappa
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mean_absolute_error
0.046066729974083453
mean_prior_absolute_error
0.29416743712946186
number_of_instances
2407 [1976,431]
precision
0.9763185072337248 [0.97288,0.992084]
predictive_accuracy
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recall
0.9759036144578314 [0.998482,0.87239]
relative_absolute_error
0.15660037162376228
root_mean_prior_squared_error
0.3834035412052162
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0.14600507576807062
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0.38081306007009885
total_cost
0
area_under_roc_curve
0.9566008926474042 [0.956601,0.956601]
area_under_roc_curve
0.947322057787174 [0.947322,0.947322]
area_under_roc_curve
0.9507869391590322 [0.950787,0.950787]
area_under_roc_curve
0.9861992013154803 [0.986199,0.986199]
area_under_roc_curve
0.9727507634484379 [0.972751,0.972751]
area_under_roc_curve
0.9805027014329339 [0.980503,0.980503]
area_under_roc_curve
0.995269958467928 [0.99527,0.99527]
area_under_roc_curve
0.9779246842167395 [0.977925,0.977925]
area_under_roc_curve
0.9907921142722229 [0.990792,0.990792]
area_under_roc_curve
0.9906150395466887 [0.990615,0.990615]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
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0
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0
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0
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0
f_measure
0.9830806598522417 [0.99,0.95122]
f_measure
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f_measure
0.9699197820016038 [0.98263,0.911392]
f_measure
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f_measure
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f_measure
0.9654313340686127 [0.980198,0.897436]
f_measure
0.9873792275357838 [0.992443,0.964706]
f_measure
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f_measure
0.9831770081770083 [0.989899,0.952381]
f_measure
0.9660211627241899 [0.979899,0.902439]
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
0.8777848504137492
kappa
0.9422868822892868
kappa
0.882396177875781
kb_relative_information_score
205.9639557586318
kb_relative_information_score
191.55193549669275
kb_relative_information_score
196.6517901539867
kb_relative_information_score
216.0109695851995
kb_relative_information_score
209.60922821506625
kb_relative_information_score
191.31515298222007
kb_relative_information_score
218.78261619827873
kb_relative_information_score
199.1062805040556
kb_relative_information_score
202.9874433266783
kb_relative_information_score
200.32966357563063
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
0.04887500000000312
mean_absolute_error
0.04651686507936519
mean_absolute_error
0.04683234126984041
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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mean_prior_absolute_error
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number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [197,44]
number_of_instances
240 [197,43]
number_of_instances
240 [197,43]
number_of_instances
240 [197,43]
precision
0.9837311531983074 [0.980198,1]
precision
0.9758359775445449 [0.970588,1]
precision
0.9719461592956178 [0.965854,1]
precision
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precision
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precision
0.9680941062724087 [0.961165,1]
precision
0.9877385892116182 [0.985,1]
precision
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precision
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precision
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predictive_accuracy
0.9834024896265561
predictive_accuracy
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predictive_accuracy
0.970954356846473
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
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recall
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recall
0.975103734439834 [1,0.860465]
recall
0.970954356846473 [1,0.837209]
recall
0.983402489626556 [1,0.906977]
recall
0.975103734439834 [1,0.860465]
recall
0.966804979253112 [1,0.813953]
recall
0.9875518672199171 [1,0.931818]
recall
0.9666666666666667 [1,0.813953]
recall
0.9833333333333333 [0.994924,0.930233]
recall
0.9666666666666667 [0.989848,0.860465]
relative_absolute_error
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relative_absolute_error
0.1916915822952889
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_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_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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total_cost
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usercpu_time_millis
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