Run
8886686

Run 8886686

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Yuntao Li
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Flow

imblearn.pipeline.Pipeline(ada=imblearn.over_sampling.adasyn.ADASYN,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.over_sampling.adasyn.ADASYN(1)_k9
imblearn.over_sampling.adasyn.ADASYN(1)_n_jobs1
imblearn.over_sampling.adasyn.ADASYN(1)_n_neighbors9
imblearn.over_sampling.adasyn.ADASYN(1)_random_state12
imblearn.over_sampling.adasyn.ADASYN(1)_ratio1.0
imblearn.pipeline.Pipeline(ada=imblearn.over_sampling.adasyn.ADASYN,scaler=sklearn.preprocessing.data.StandardScaler,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
0.9325 ± 0.0143
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0352 ± 0.0097
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0006 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-162262.0539 ± 59.4352
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.8179 ± 0.0053
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
0.0342 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.0342 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
24.933 ± 0.6359
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
0.8324 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
6.5249 ± 0.1584
Cross-validation details (10-fold Crossvalidation)