Run
7932206

Run 7932206

Task 125922 (Supervised Classification) texture 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
0.9982 ± 0.0004
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9608 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9568 ± 0.007
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1360.6538 ± 1.0406
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1516 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1653
Cross-validation details (10-fold Crossvalidation)
Number of instances
5500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9611 ± 0.0062
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9607 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.4594
Cross-validation details (10-fold Crossvalidation)
Recall
0.9607 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9173 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2875
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2638 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9177 ± 0.0008
Cross-validation details (10-fold Crossvalidation)