OpenML
555346

Run 555346

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 14-04-2016 by Roy Haanen
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  • NumPy_1.10.1. Python_2.7.11. run_task SciPy_0.16.0. sklearn.neighbors.classification.KNeighborsClassifier Sklearn_0.17. Thu_Apr_14_09.05.04_2016
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Flow

sklearn.neighbors.classification.KNeighborsClassifier(1)Flow generated by run_task
sklearn.neighbors.classification.KNeighborsClassifier(1)_n_neighbors2
sklearn.neighbors.classification.KNeighborsClassifier(1)_n_jobs-1
sklearn.neighbors.classification.KNeighborsClassifier(1)_algorithmauto
sklearn.neighbors.classification.KNeighborsClassifier(1)_metricminkowski
sklearn.neighbors.classification.KNeighborsClassifier(1)_metric_paramsNone
sklearn.neighbors.classification.KNeighborsClassifier(1)_p3
sklearn.neighbors.classification.KNeighborsClassifier(1)_weightsdistance
sklearn.neighbors.classification.KNeighborsClassifier(1)_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
0.9913
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9796
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9587
Cross-validation details (10-fold Crossvalidation)
KB relative information score
14072.2334
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0304
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
0.9796
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9796
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9796
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0614
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1358
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2731
Cross-validation details (10-fold Crossvalidation)