Run
9989529

Run 9989529

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 16-01-2019 by Thomas Boquet
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Flow

sklearn.neighbors.classification.KNeighborsClassifier(28)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(28)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(28)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(28)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(28)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(28)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(28)_n_neighbors7
sklearn.neighbors.classification.KNeighborsClassifier(28)_p2
sklearn.neighbors.classification.KNeighborsClassifier(28)_weights"uniform"

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
0.9943 ± 0.001
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9639 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9269 ± 0.0092
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13011.0412 ± 7.8316
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0707 ± 0.0027
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
0.9639 ± 0.0046
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9639 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9639 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1428 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1713 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3443 ± 0.0074
Cross-validation details (10-fold Crossvalidation)