Run
7932130

Run 7932130

Task 12 (Supervised Classification) mfeat-factors 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
0.9904 ± 0.0038
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9383 ± 0.0142
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9317 ± 0.0157
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1333.2158 ± 47.4607
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0905 ± 0.0402
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9388 ± 0.013
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9385 ± 0.0142
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9385 ± 0.0142
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5028 ± 0.2232
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1788 ± 0.0567
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5959 ± 0.1891
Cross-validation details (10-fold Crossvalidation)