Run
8869464

Run 8869464

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 01-03-2018 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.neighbors.classification.KNeighborsClassifier(20)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(20)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(20)_leaf_size30
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_neighbors9
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_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
0.9934 ± 0.0011
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9585 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.916 ± 0.0058
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12710.687 ± 8.6199
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0819 ± 0.0031
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
0.9585 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9585 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9585 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1654 ± 0.0062
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1817 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3653 ± 0.0077
Cross-validation details (10-fold Crossvalidation)