Run
8885421

Run 8885421

Task 167132 (Supervised Classification) Speech Uploaded 14-03-2018 by Ignacio Garcia
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Flow

sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors .classification.KNeighborsClassifier)(2)Automatically created scikit-learn flow.
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_neighbors10
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(2)_bootstraptrue
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(2)_bootstrap_featuresfalse
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(2)_max_features0.5
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(2)_max_samples0.5
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(2)_n_estimators10
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(2)_n_jobs1
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(2)_oob_scorefalse
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(2)_random_state10964
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(2)_verbose0
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(2)_warm_startfalse

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.

15 Evaluation measures

Area under ROC curve
0.8386 ± 0.0951
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-25130.8705 ± 618.8175
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0489 ± 0.0074
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)
Predictive accuracy
0.9835 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9835 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.4915 ± 0.2185
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
0.1246 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9771 ± 0.0217
Cross-validation details (10-fold Crossvalidation)