Run
2087613

Run 2087613

Task 20 (Supervised Classification) mfeat-pixel Uploaded 26-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. sklearn.svm.classes.SVC Sklearn_0.18.1. Wed_Apr_26_17.30.03_2017
Issue #Downvotes for this reason By


Flow

sklearn.svm.classes.SVC(5)Automatically created sub-component.
sklearn.svm.classes.SVC(5)_C1024.0
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)_gamma0.015625
sklearn.svm.classes.SVC(5)_kernelpoly
sklearn.svm.classes.SVC(5)_max_iter-1
sklearn.svm.classes.SVC(5)_probabilityTrue
sklearn.svm.classes.SVC(5)_random_state3
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
0.9994
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9835
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9817
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1917.8724
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0137
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9835
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9835
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9835
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0759
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0574
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1912
Cross-validation details (10-fold Crossvalidation)