Run
8886390

Run 8886390

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

imblearn.pipeline.Pipeline(ROS=imblearn.over_sampling.random_over_sampler.R andomOverSampler,scaler=sklearn.preprocessing.data.StandardScaler,knn=sklea rn.neighbors.classification.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(ROS=imblearn.over_sampling.random_over_sampler.RandomOverSampler,scaler=sklearn.preprocessing.data.StandardScaler,knn=sklearn.neighbors.classification.KNeighborsClassifier)(1)_memorynull
imblearn.over_sampling.random_over_sampler.RandomOverSampler(1)_random_state42
imblearn.over_sampling.random_over_sampler.RandomOverSampler(1)_ratio"auto"

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
0.8523 ± 0.118
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9143 ± 0.0225
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1193 ± 0.0567
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-34632.832 ± 885.8362
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1365 ± 0.0343
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
0.9789 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.866 ± 0.0386
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.866 ± 0.0386
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
4.1618 ± 1.0426
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
0.2909 ± 0.0433
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.2804 ± 0.3406
Cross-validation details (10-fold Crossvalidation)