Run
7932176

Run 7932176

Task 9952 (Supervised Classification) phoneme 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
0.875 ± 0.0099
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8043 ± 0.0206
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5324 ± 0.0524
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2123.3668 ± 12.7376
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2443 ± 0.0082
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8065 ± 0.0222
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8027 ± 0.0197
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8027 ± 0.0197
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.589 ± 0.0197
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3578 ± 0.0102
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7858 ± 0.0223
Cross-validation details (10-fold Crossvalidation)