Run
2036025

Run 2036025

Task 11 (Supervised Classification) balance-scale Uploaded 08-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.1. Python_3.5.3. run_task Sat_Apr__8_21.04.23_2017 SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,svc=s klearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(5)_C188.719928671
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)_gammaauto
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)_tol6.24157948739e-05
sklearn.svm.classes.SVC(5)_verboseFalse
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,svc=sklearn.svm.classes.SVC)(1)_steps[('DualImputer', ), ('svc', SVC(C=188.71992867141557, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma='auto', kernel='poly', max_iter=-1, probability=True, random_state=3, shrinking=True, tol=6.2415794873895469e-05, verbose=False))]

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
0.9996
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9845
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9721
Cross-validation details (10-fold Crossvalidation)
KB relative information score
554.369
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.052
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.986
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.984
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.984
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1369
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1301
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2986
Cross-validation details (10-fold Crossvalidation)