Run
8886084

Run 8886084

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

sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler, PCA=sklearn.discriminant_analysis.LinearDiscriminantAnalysis,Classifier=skl earn.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_neighbors2
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.discriminant_analysis.LinearDiscriminantAnalysis,Classifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)_memorynull
sklearn.discriminant_analysis.LinearDiscriminantAnalysis(1)_n_components390
sklearn.discriminant_analysis.LinearDiscriminantAnalysis(1)_priorsnull
sklearn.discriminant_analysis.LinearDiscriminantAnalysis(1)_shrinkagenull
sklearn.discriminant_analysis.LinearDiscriminantAnalysis(1)_solver"svd"
sklearn.discriminant_analysis.LinearDiscriminantAnalysis(1)_store_covariancefalse
sklearn.discriminant_analysis.LinearDiscriminantAnalysis(1)_tol0.0001

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
0.6228 ± 0.0583
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9769 ± 0.005
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1455 ± 0.1893
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1258.164 ± 125.3674
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0239 ± 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
0.9742 ± 0.0094
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9818 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9818 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7278 ± 0.1759
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
0.1402 ± 0.0156
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0993 ± 0.1339
Cross-validation details (10-fold Crossvalidation)