Run
7932150

Run 7932150

Task 3022 (Supervised Classification) vowel 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
0.9736 ± 0.008
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7472 ± 0.0695
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7222 ± 0.0784
Cross-validation details (10-fold Crossvalidation)
KB relative information score
140.5713 ± 0.7855
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1582 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1653
Cross-validation details (10-fold Crossvalidation)
Number of instances
990
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7493 ± 0.0708
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7475 ± 0.0713
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.4594
Cross-validation details (10-fold Crossvalidation)
Recall
0.7475 ± 0.0713
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9573 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2875
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2754 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9581 ± 0.0027
Cross-validation details (10-fold Crossvalidation)