Run
7932144

Run 7932144

Task 45 (Supervised Classification) splice Uploaded 17-09-2017 by mehdi cherti
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9843 ± 0.0041
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9438 ± 0.0144
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9088 ± 0.0233
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2049.8637 ± 40.2065
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.188 ± 0.0685
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4101 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
3190
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9439 ± 0.0133
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9439 ± 0.0146
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.4804
Cross-validation details (10-fold Crossvalidation)
Recall
0.9439 ± 0.0146
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4584 ± 0.1669
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4528 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2524 ± 0.035
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5575 ± 0.077
Cross-validation details (10-fold Crossvalidation)