Run
8886344

Run 8886344

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

imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.adasyn.ADASYN,Class ifier=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"chebyshev"
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_jobs-1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors50
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.adasyn.ADASYN,Classifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)_memorynull
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_state48047
imblearn.over_sampling.adasyn.ADASYN(2)_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
0.7754 ± 0.0636
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0204 ± 0.0087
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0003 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-164596.1239 ± 86.3914
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.8611 ± 0.0158
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
0.0266 ± 0.004
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.0266 ± 0.004
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
26.2494 ± 0.768
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
0.8734 ± 0.0157
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
6.846 ± 0.1974
Cross-validation details (10-fold Crossvalidation)