Run
1943284

Run 1943284

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 02-04-2017 by y q
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  • NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.19.0. sklearn.neighbors.classification.KNeighborsClassifier Sklearn_0.18.1. Sun_Apr__2_18.20.03_2017
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Flow

sklearn.neighbors.classification.KNeighborsClassifier(7)Automatically created sub-component.
sklearn.neighbors.classification.KNeighborsClassifier(7)_algorithmauto
sklearn.neighbors.classification.KNeighborsClassifier(7)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(7)_metricminkowski
sklearn.neighbors.classification.KNeighborsClassifier(7)_metric_paramsNone
sklearn.neighbors.classification.KNeighborsClassifier(7)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(7)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(7)_p2
sklearn.neighbors.classification.KNeighborsClassifier(7)_weightsuniform

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
0.9947
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.969
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9374
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13353.2303
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0579
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
0.969
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.969
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.969
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.117
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.159
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3196
Cross-validation details (10-fold Crossvalidation)