Run
8886050

Run 8886050

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

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsCla ssifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(5)_copytrue
sklearn.preprocessing.data.StandardScaler(5)_with_meantrue
sklearn.preprocessing.data.StandardScaler(5)_with_stdtrue
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_neighbors3
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,kneighborsclassifier=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
0.8178 ± 0.0975
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9854 ± 0.0046
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4714 ± 0.1744
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-4529.3135 ± 247.009
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0287 ± 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
0.9868 ± 0.005
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9881 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9881 ± 0.0034
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8739 ± 0.2058
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
0.1209 ± 0.0136
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9478 ± 0.1056
Cross-validation details (10-fold Crossvalidation)