Run
7932207

Run 7932207

Task 125923 (Supervised Classification) Australian 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
0.9143 ± 0.0282
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8637 ± 0.0336
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7238 ± 0.0681
Cross-validation details (10-fold Crossvalidation)
KB relative information score
416.8684 ± 8.1486
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2068 ± 0.0625
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8636 ± 0.031
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8638 ± 0.0329
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8638 ± 0.0329
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4187 ± 0.1271
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3365 ± 0.0427
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6772 ± 0.0861
Cross-validation details (10-fold Crossvalidation)