Run
8886700

Run 8886700

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Jeroen Ubbink
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Flow

sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA ,scaler=sklearn.preprocessing.data.MinMaxScaler,forest=sklearn.ensemble.for est.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators2
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs-1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state2
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_components0.1
sklearn.decomposition.pca.PCA(2)_random_state38816
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA,scaler=sklearn.preprocessing.data.MinMaxScaler,forest=sklearn.ensemble.forest.RandomForestClassifier)(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
0.5156 ± 0.0388
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9746 ± 0.0007
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0025 ± 0.003
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-4126.0854 ± 139.8656
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0335 ± 0.0054
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
0.9672 ± 0.0001
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9821 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9821 ± 0.0019
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0214 ± 0.1585
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
0.1586 ± 0.0101
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2434 ± 0.0762
Cross-validation details (10-fold Crossvalidation)