Run
8884495

Run 8884495

Task 167132 (Supervised Classification) Speech Uploaded 12-03-2018 by Michiel Verburg
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Flow

sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA ,classifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)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_neighbors10
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_components140
sklearn.decomposition.pca.PCA(2)_random_state15113
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)_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
0.8448 ± 0.1102
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9759
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0317 ± 0.0893
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-22141.5987 ± 423.7309
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0491 ± 0.0067
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
0.984
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9837 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9837 ± 0.0013
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.4953 ± 0.1986
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
0.1281 ± 0.0069
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0042 ± 0.0579
Cross-validation details (10-fold Crossvalidation)