Run
8886209

Run 8886209

Task 167132 (Supervised Classification) Speech Uploaded 16-03-2018 by Giannarakis
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Flow

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsCla ssifier)(2)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(4)_copytrue
sklearn.preprocessing.data.StandardScaler(4)_with_meantrue
sklearn.preprocessing.data.StandardScaler(4)_with_stdtrue
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_neighbors1
sklearn.neighbors.classification.KNeighborsClassifier(21)_p2
sklearn.neighbors.classification.KNeighborsClassifier(21)_weights"uniform"
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,kneighborsclassifier=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
0.7601 ± 0.123
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9871 ± 0.0061
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.581 ± 0.2269
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1476.9743 ± 99.2587
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0122 ± 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)
Precision
0.9866 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9878 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9878 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3722 ± 0.165
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
0.1105 ± 0.0248
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8661 ± 0.2005
Cross-validation details (10-fold Crossvalidation)