Run
8886890

Run 8886890

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Thomas Mulder
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Flow

imblearn.pipeline.Pipeline(smote=imblearn.over_sampling.smote.SMOTE,knn=skl earn.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_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors40
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
imblearn.over_sampling.smote.SMOTE(1)_knull
imblearn.over_sampling.smote.SMOTE(1)_k_neighbors2
imblearn.over_sampling.smote.SMOTE(1)_kind"regular"
imblearn.over_sampling.smote.SMOTE(1)_mnull
imblearn.over_sampling.smote.SMOTE(1)_m_neighbors2
imblearn.over_sampling.smote.SMOTE(1)_n_jobs1
imblearn.over_sampling.smote.SMOTE(1)_out_step0.001
imblearn.over_sampling.smote.SMOTE(1)_random_state40363
imblearn.over_sampling.smote.SMOTE(1)_ratio"all"
imblearn.over_sampling.smote.SMOTE(1)_svm_estimatornull
imblearn.pipeline.Pipeline(smote=imblearn.over_sampling.smote.SMOTE,knn=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
0.9566 ± 0.014
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0011
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0 ± 0
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-168232.019 ± 54.8245
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.9313 ± 0.0066
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
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.0168 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.0168 ± 0.0017
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
28.3891 ± 0.7233
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
0.9401 ± 0.0062
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
7.3689 ± 0.1801
Cross-validation details (10-fold Crossvalidation)