Run
7932186

Run 7932186

Task 9976 (Supervised Classification) madelon 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
0.8476 ± 0.0405
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8023 ± 0.0332
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6054 ± 0.0663
Cross-validation details (10-fold Crossvalidation)
KB relative information score
317.7574 ± 38.6573
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4467 ± 0.0732
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
2600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.805 ± 0.0336
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8027 ± 0.0331
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8027 ± 0.0331
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8935 ± 0.1464
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4711 ± 0.0247
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9421 ± 0.0493
Cross-validation details (10-fold Crossvalidation)