Run
8885157

Run 8885157

Task 167132 (Supervised Classification) Speech Uploaded 13-03-2018 by Dominique Sommers
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Flow

sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler, svm=sklearn.neighbors.classification.KNeighborsClassifier)(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_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,svm=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
0.8104 ± 0.0902
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9782 ± 0.0034
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1467 ± 0.1726
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-11025.0895 ± 376.4138
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.038 ± 0.0073
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
0.9823 ± 0.0085
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9845 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9845 ± 0.0018
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1595 ± 0.2223
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
0.1263 ± 0.0087
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9904 ± 0.0707
Cross-validation details (10-fold Crossvalidation)