Run
8886561

Run 8886561

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Mark Frenken
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Flow

sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,Classifier=skle arn.neighbors.classification.KNeighborsClassifier)(2)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(21)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(21)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(21)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(21)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(21)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(21)_n_neighbors3
sklearn.neighbors.classification.KNeighborsClassifier(21)_p2
sklearn.neighbors.classification.KNeighborsClassifier(21)_weights"uniform"
sklearn.decomposition.pca.PCA(3)_copytrue
sklearn.decomposition.pca.PCA(3)_iterated_power"auto"
sklearn.decomposition.pca.PCA(3)_n_components100
sklearn.decomposition.pca.PCA(3)_random_state42581
sklearn.decomposition.pca.PCA(3)_svd_solver"auto"
sklearn.decomposition.pca.PCA(3)_tol0.0
sklearn.decomposition.pca.PCA(3)_whitenfalse
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,Classifier=sklearn.neighbors.classification.KNeighborsClassifier)(2)_memorynull

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
0.8376 ± 0.1092
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9845 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4489 ± 0.1696
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-6126.5565 ± 296.7986
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0327 ± 0.008
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)
Precision
0.9847 ± 0.0041
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.987 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.987 ± 0.0031
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9979 ± 0.2486
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
0.1259 ± 0.0165
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.987 ± 0.133
Cross-validation details (10-fold Crossvalidation)