Run
7932124

Run 7932124

Task 3 (Supervised Classification) kr-vs-kp 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
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
0.9989 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9822 ± 0.0082
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9643 ± 0.0165
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2983.2384 ± 4.8057
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0371 ± 0.008
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9822 ± 0.0082
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9822 ± 0.0082
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9822 ± 0.0082
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0743 ± 0.016
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1169 ± 0.0188
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.234 ± 0.0377
Cross-validation details (10-fold Crossvalidation)