Run
8886908

Run 8886908

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Sami Ozarik
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

imblearn.pipeline.Pipeline(ADASYN=imblearn.over_sampling.adasyn.ADASYN,Scal er=sklearn.preprocessing.data.RobustScaler,Classifier=sklearn.svm.classes.S VC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(16)_C1
sklearn.svm.classes.SVC(16)_cache_size200
sklearn.svm.classes.SVC(16)_class_weightnull
sklearn.svm.classes.SVC(16)_coef00.0
sklearn.svm.classes.SVC(16)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(16)_degree3
sklearn.svm.classes.SVC(16)_gamma"auto"
sklearn.svm.classes.SVC(16)_kernel"linear"
sklearn.svm.classes.SVC(16)_max_iter-1
sklearn.svm.classes.SVC(16)_probabilitytrue
sklearn.svm.classes.SVC(16)_random_state21257
sklearn.svm.classes.SVC(16)_shrinkingtrue
sklearn.svm.classes.SVC(16)_tol0.001
sklearn.svm.classes.SVC(16)_verbosefalse
sklearn.preprocessing.data.RobustScaler(2)_copytrue
sklearn.preprocessing.data.RobustScaler(2)_quantile_range[25.0, 75.0]
sklearn.preprocessing.data.RobustScaler(2)_with_centeringtrue
sklearn.preprocessing.data.RobustScaler(2)_with_scalingtrue
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_state23959
imblearn.over_sampling.adasyn.ADASYN(2)_ratio"auto"
imblearn.pipeline.Pipeline(ADASYN=imblearn.over_sampling.adasyn.ADASYN,Scaler=sklearn.preprocessing.data.RobustScaler,Classifier=sklearn.svm.classes.SVC)(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
0.6694 ± 0.131
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9406 ± 0.0049
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0662 ± 0.0603
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-19563.6313 ± 266.5554
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0915 ± 0.0102
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
0.9713 ± 0.0032
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.914 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.914 ± 0.0089
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.7902 ± 0.3412
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
0.2644 ± 0.0167
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.0722 ± 0.1546
Cross-validation details (10-fold Crossvalidation)