Run
9964414

Run 9964414

Task 9983 (Supervised Classification) eeg-eye-state Uploaded 13-01-2019 by KANKAN LAN
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Flow

sklearn.neighbors.classification.KNeighborsClassifier(33)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(33)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(33)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(33)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(33)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(33)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(33)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(33)_p2
sklearn.neighbors.classification.KNeighborsClassifier(33)_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
0.9947 ± 0.0014
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.969 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9374 ± 0.0058
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13353.2303 ± 7.0911
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0579 ± 0.0025
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
0.969 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.969 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.969 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.117 ± 0.005
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.159 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3196 ± 0.0083
Cross-validation details (10-fold Crossvalidation)