Run
8882643

Run 8882643

Task 167132 (Supervised Classification) Speech Uploaded 10-03-2018 by S Wang
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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_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_neighbors29
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.

15 Evaluation measures

Area under ROC curve
0.8223 ± 0.0821
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-27506.6669 ± 418.4043
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0487 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0328 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
3686
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9835 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9835 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.4847 ± 0.1473
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1261 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9883 ± 0.0151
Cross-validation details (10-fold Crossvalidation)