Run
2012907

Run 2012907

Task 59 (Supervised Classification) iris Uploaded 06-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1. Thu_Apr__6_22.49.48_2017
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,pca=s klearn.decomposition.pca.PCA,nusvc=sklearn.svm.classes.NuSVC)(1)Automatically created scikit-learn flow.
sklearn.decomposition.pca.PCA(1)_copyTrue
sklearn.decomposition.pca.PCA(1)_iterated_powerauto
sklearn.decomposition.pca.PCA(1)_n_componentsNone
sklearn.decomposition.pca.PCA(1)_random_stateNone
sklearn.decomposition.pca.PCA(1)_svd_solverauto
sklearn.decomposition.pca.PCA(1)_tol0.0
sklearn.decomposition.pca.PCA(1)_whitenFalse
sklearn.svm.classes.NuSVC(1)_cache_size200
sklearn.svm.classes.NuSVC(1)_class_weightNone
sklearn.svm.classes.NuSVC(1)_coef00.0
sklearn.svm.classes.NuSVC(1)_decision_function_shapeNone
sklearn.svm.classes.NuSVC(1)_degree3
sklearn.svm.classes.NuSVC(1)_gammaauto
sklearn.svm.classes.NuSVC(1)_kernelrbf
sklearn.svm.classes.NuSVC(1)_max_iter-1
sklearn.svm.classes.NuSVC(1)_nu0.5
sklearn.svm.classes.NuSVC(1)_probabilityTrue
sklearn.svm.classes.NuSVC(1)_random_stateNone
sklearn.svm.classes.NuSVC(1)_shrinkingTrue
sklearn.svm.classes.NuSVC(1)_tol0.001
sklearn.svm.classes.NuSVC(1)_verboseFalse
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,pca=sklearn.decomposition.pca.PCA,nusvc=sklearn.svm.classes.NuSVC)(1)_steps[('dualimputer', ), ('pca', PCA(copy=True, iterated_power='auto', n_components=None, random_state=None, svd_solver='auto', tol=0.0, whiten=False)), ('nusvc', NuSVC(cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma='auto', kernel='rbf', max_iter=-1, nu=0.5, probability=True, random_state=None, shrinking=True, tol=0.001, 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

0.9975
Per class
Cross-validation details (10-fold Crossvalidation)
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
0.96
Cross-validation details (10-fold Crossvalidation)
134.7446
Cross-validation details (10-fold Crossvalidation)
0.0604
Cross-validation details (10-fold Crossvalidation)
0.4444
Cross-validation details (10-fold Crossvalidation)
150
Per class
Cross-validation details (10-fold Crossvalidation)
0.9738
Per class
Cross-validation details (10-fold Crossvalidation)
0.9733
Cross-validation details (10-fold Crossvalidation)
1.585
Cross-validation details (10-fold Crossvalidation)
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
0.1359
Cross-validation details (10-fold Crossvalidation)
0.4714
Cross-validation details (10-fold Crossvalidation)
0.1346
Cross-validation details (10-fold Crossvalidation)
0.2856
Cross-validation details (10-fold Crossvalidation)