Run
7932151

Run 7932151

Task 3481 (Supervised Classification) isolet Uploaded 18-09-2017 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
0.9975 ± 0.0006
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9265 ± 0.0093
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9237 ± 0.0097
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6294.2634 ± 3.9156
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0319 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
7797
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9277 ± 0.0092
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9266 ± 0.0093
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.7004
Cross-validation details (10-fold Crossvalidation)
Recall
0.9266 ± 0.0093
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4307 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0998 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5188 ± 0.0077
Cross-validation details (10-fold Crossvalidation)