Run
8885897

Run 8885897

Task 167132 (Supervised Classification) Speech Uploaded 15-03-2018 by Nena ODriscoll
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Flow

sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,tree=sklearn.ne ighbors.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_neighbors1
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_components115
sklearn.decomposition.pca.PCA(2)_random_state33995
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,tree=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
0.7273 ± 0.1328
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9856 ± 0.0061
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5268 ± 0.2322
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1284.7112 ± 100.8153
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0133 ± 0.0055
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
0.9851 ± 0.0062
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9867 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9867 ± 0.0055
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4052 ± 0.1703
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
0.1153 ± 0.0252
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9038 ± 0.202
Cross-validation details (10-fold Crossvalidation)