Run
7932145

Run 7932145

Task 49 (Supervised Classification) tic-tac-toe 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
0.8335 ± 0.0419
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7921 ± 0.0465
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5317 ± 0.1071
Cross-validation details (10-fold Crossvalidation)
KB relative information score
405.1604 ± 7.1469
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.261 ± 0.0285
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7969 ± 0.0396
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7996 ± 0.0401
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.7996 ± 0.0401
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5761 ± 0.0638
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3755 ± 0.0305
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.789 ± 0.0653
Cross-validation details (10-fold Crossvalidation)