Run
1852572

Run 1852572

Task 145677 (Supervised Classification) Bioresponse Uploaded 15-03-2017 by Hilde Weerts
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  • NumPy_1.11.3. Python_3.6.0. run_task SciPy_0.18.1. sklearn.svm.classes.SVC Sklearn_0.18.1. Wed_Mar_15_09.49.27_2017
Issue #Downvotes for this reason By


Flow

sklearn.svm.classes.SVC(5)Automatically created sub-component.
sklearn.svm.classes.SVC(5)_C1
sklearn.svm.classes.SVC(5)_cache_size200
sklearn.svm.classes.SVC(5)_class_weightNone
sklearn.svm.classes.SVC(5)_coef00.0
sklearn.svm.classes.SVC(5)_decision_function_shapeNone
sklearn.svm.classes.SVC(5)_degree3
sklearn.svm.classes.SVC(5)_gamma0.01
sklearn.svm.classes.SVC(5)_kernelrbf
sklearn.svm.classes.SVC(5)_max_iter-1
sklearn.svm.classes.SVC(5)_probabilityTrue
sklearn.svm.classes.SVC(5)_random_stateNone
sklearn.svm.classes.SVC(5)_shrinkingTrue
sklearn.svm.classes.SVC(5)_tol0.001
sklearn.svm.classes.SVC(5)_verboseFalse

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
0.8575
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7884
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5731
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1583.9836
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3036
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7886
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7889
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7889
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6115
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3909
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7847
Cross-validation details (10-fold Crossvalidation)