Run
7932137

Run 7932137

Task 23 (Supervised Classification) cmc Uploaded 17-09-2017 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
0.6959 ± 0.0669
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5287 ± 0.0676
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2689 ± 0.1064
Cross-validation details (10-fold Crossvalidation)
KB relative information score
317.5336 ± 8.2588
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3662 ± 0.0227
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5309 ± 0.0702
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5316 ± 0.0631
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.5316 ± 0.0631
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8501 ± 0.0529
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4394 ± 0.0249
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9468 ± 0.0538
Cross-validation details (10-fold Crossvalidation)