Run
8886403

Run 8886403

Task 167132 (Supervised Classification) Speech Uploaded 16-03-2018 by Yuntao Li
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Flow

imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.smote.SMOTE,scaler= sklearn.preprocessing.data.StandardScaler,knn=sklearn.neighbors.classificat ion.KNeighborsClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(5)_copytrue
sklearn.preprocessing.data.StandardScaler(5)_with_meantrue
sklearn.preprocessing.data.StandardScaler(5)_with_stdtrue
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_neighbors9
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.smote.SMOTE,scaler=sklearn.preprocessing.data.StandardScaler,knn=sklearn.neighbors.classification.KNeighborsClassifier)(1)_memorynull
imblearn.over_sampling.smote.SMOTE(1)_knull
imblearn.over_sampling.smote.SMOTE(1)_k_neighbors5
imblearn.over_sampling.smote.SMOTE(1)_kind"regular"
imblearn.over_sampling.smote.SMOTE(1)_mnull
imblearn.over_sampling.smote.SMOTE(1)_m_neighbors10
imblearn.over_sampling.smote.SMOTE(1)_n_jobs1
imblearn.over_sampling.smote.SMOTE(1)_out_step0.5
imblearn.over_sampling.smote.SMOTE(1)_random_state20
imblearn.over_sampling.smote.SMOTE(1)_ratio0.9
imblearn.over_sampling.smote.SMOTE(1)_svm_estimatornull

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
0.9367 ± 0.015
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0415 ± 0.0148
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0007 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-161824.6386 ± 94.1293
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.812 ± 0.0093
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 ± 0.0008
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.0374 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.0374 ± 0.0079
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
24.7538 ± 0.6757
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
0.8274 ± 0.0081
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
6.4853 ± 0.1652
Cross-validation details (10-fold Crossvalidation)