Run
8886481

Run 8886481

Task 167132 (Supervised Classification) Speech Uploaded 16-03-2018 by Bensu Ucar
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,ada=sklearn.ens emble.weight_boosting.AdaBoostClassifier)(1)Automatically created scikit-learn flow.
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_componentsnull
sklearn.decomposition.pca.PCA(2)_random_state53716
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.ensemble.weight_boosting.AdaBoostClassifier(7)_algorithm"SAMME.R"
sklearn.ensemble.weight_boosting.AdaBoostClassifier(7)_base_estimatornull
sklearn.ensemble.weight_boosting.AdaBoostClassifier(7)_learning_rate1.0
sklearn.ensemble.weight_boosting.AdaBoostClassifier(7)_n_estimators50
sklearn.ensemble.weight_boosting.AdaBoostClassifier(7)_random_state62581
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,ada=sklearn.ensemble.weight_boosting.AdaBoostClassifier)(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
0.7476 ± 0.0763
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9753 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0729 ± 0.109
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-128057.7188 ± 290.4873
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3787 ± 0.0204
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
0.9712 ± 0.0067
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.981 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.981 ± 0.0031
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
11.5455 ± 0.6037
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
0.3902 ± 0.0169
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
3.0585 ± 0.1306
Cross-validation details (10-fold Crossvalidation)