OpenML
555417

Run 555417

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 14-04-2016 by Duy Pham
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  • NumPy_1.10.4. Python_2.7.11. run_task SciPy_0.17.0. sklearn.neighbors.classification.KNeighborsClassifier Sklearn_0.17.1. Thu_Apr_14_21.56.00_2016
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Flow

sklearn.neighbors.classification.KNeighborsClassifier(2)Flow generated by run_task
sklearn.neighbors.classification.KNeighborsClassifier(2)_n_neighbors6
sklearn.neighbors.classification.KNeighborsClassifier(2)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(2)_algorithmauto
sklearn.neighbors.classification.KNeighborsClassifier(2)_metricminkowski
sklearn.neighbors.classification.KNeighborsClassifier(2)_metric_paramsNone
sklearn.neighbors.classification.KNeighborsClassifier(2)_p2
sklearn.neighbors.classification.KNeighborsClassifier(2)_weightsuniform
sklearn.neighbors.classification.KNeighborsClassifier(2)_leaf_size30

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9946
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9623
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9236
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13175.4672
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0644
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9628
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9624
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9624
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1302
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1655
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3328
Cross-validation details (10-fold Crossvalidation)