Run
7932139

Run 7932139

Task 31 (Supervised Classification) credit-g 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
0.7268 ± 0.0641
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7275 ± 0.0404
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3439 ± 0.0801
Cross-validation details (10-fold Crossvalidation)
KB relative information score
160.5587 ± 7.2369
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3467 ± 0.0237
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.725 ± 0.0352
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.731 ± 0.0484
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.731 ± 0.0484
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8251 ± 0.0563
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4263 ± 0.0189
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9302 ± 0.0412
Cross-validation details (10-fold Crossvalidation)