Run
8885886

Run 8885886

Task 167132 (Supervised Classification) Speech Uploaded 15-03-2018 by Mark Frenken
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Flow

sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler, Decomposition=sklearn.decomposition.pca.PCA,Classifier=sklearn.ensemble.for est.RandomForestClassifier)(1)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.ensemble.forest.RandomForestClassifier(33)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(33)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(33)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(33)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(33)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(33)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(33)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(33)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(33)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(33)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(33)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(33)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(33)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(33)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(33)_random_state64309
sklearn.ensemble.forest.RandomForestClassifier(33)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(33)_warm_startfalse
sklearn.decomposition.pca.PCA(3)_copytrue
sklearn.decomposition.pca.PCA(3)_iterated_power"auto"
sklearn.decomposition.pca.PCA(3)_n_componentsnull
sklearn.decomposition.pca.PCA(3)_random_state56578
sklearn.decomposition.pca.PCA(3)_svd_solver"auto"
sklearn.decomposition.pca.PCA(3)_tol0.0
sklearn.decomposition.pca.PCA(3)_whitenfalse
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,Decomposition=sklearn.decomposition.pca.PCA,Classifier=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
0.6109 ± 0.1452
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9748 ± 0.001
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0016 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-23368.4924 ± 256.1955
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0544 ± 0.0039
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
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9826 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9826 ± 0.0019
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.6598 ± 0.1421
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
0.1452 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1381 ± 0.0515
Cross-validation details (10-fold Crossvalidation)