Run
7932173

Run 7932173

Task 9914 (Supervised Classification) wilt Uploaded 19-09-2017 by mehdi cherti
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Flow

pipelineopt.estimator.Classifier(1)Automatically created scikit-learn flow.
pipelineopt.estimator.Classifier(1)_nb_iter10
pipelineopt.estimator.Classifier(1)_random_state42
pipelineopt.estimator.Classifier(1)_score{"oml-python:serialized_object": "function", "value": "sklearn.metrics.classification.accuracy_score"}
pipelineopt.estimator.Classifier(1)_valid_ratio0.1
pipelineopt.estimator.Classifier(1)_verbose0
pipelineopt.estimator.Classifier(1)_walker"grammaropt.RandomWalker"

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9334 ± 0.0232
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9736 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7359 ± 0.0468
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2118.8768 ± 25.8687
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0423 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9732 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9742 ± 0.0048
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9742 ± 0.0048
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4133 ± 0.0489
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1491 ± 0.0121
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6598 ± 0.0549
Cross-validation details (10-fold Crossvalidation)