Run
8886352

Run 8886352

Task 167132 (Supervised Classification) Speech Uploaded 16-03-2018 by Sami Ozarik
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Flow

imblearn.pipeline.Pipeline(ADASYN=imblearn.over_sampling.adasyn.ADASYN,Clas sifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)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_jobs-1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors20
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
imblearn.over_sampling.adasyn.ADASYN(2)_knull
imblearn.over_sampling.adasyn.ADASYN(2)_n_jobs1
imblearn.over_sampling.adasyn.ADASYN(2)_n_neighbors5
imblearn.over_sampling.adasyn.ADASYN(2)_random_state11284
imblearn.over_sampling.adasyn.ADASYN(2)_ratio"auto"
imblearn.pipeline.Pipeline(ADASYN=imblearn.over_sampling.adasyn.ADASYN,Classifier=sklearn.neighbors.classification.KNeighborsClassifier)(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
0.9409 ± 0.0253
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0016 ± 0
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0 ± 0
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-166493.2246 ± 51.9659
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.8951 ± 0.0064
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
0.9837 ± 0
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.0171 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.0171 ± 0.0013
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
27.2852 ± 0.756
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
0.9045 ± 0.0061
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
7.0903 ± 0.1897
Cross-validation details (10-fold Crossvalidation)