Run
8885552

Run 8885552

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 14-03-2018 by Jeanpierre Balster
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Flow

sklearn.neighbors.classification.KNeighborsClassifier(20)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(20)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(20)_leaf_size200
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"distance"

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
0.9961 ± 0.0014
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9716 ± 0.0028
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9426 ± 0.0057
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13494.2529 ± 6.8313
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0534 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9716 ± 0.0028
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9716 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9716 ± 0.0028
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.108 ± 0.0047
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1494 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3004 ± 0.0092
Cross-validation details (10-fold Crossvalidation)