Run
2039493

Run 2039493

Task 53 (Supervised Classification) vehicle Uploaded 09-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1. Sun_Apr__9_00.28.26_2017
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,stand ardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes .SVC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(5)_C4591.0699716
sklearn.svm.classes.SVC(5)_cache_size1000
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)_gamma0.00918701310136
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_state3
sklearn.svm.classes.SVC(5)_shrinkingTrue
sklearn.svm.classes.SVC(5)_tol0.01
sklearn.svm.classes.SVC(5)_verboseFalse
sklearn.preprocessing.data.StandardScaler(1)_copyTrue
sklearn.preprocessing.data.StandardScaler(1)_with_meanTrue
sklearn.preprocessing.data.StandardScaler(1)_with_stdTrue
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)_steps[('DualImputer', ), ('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('svc', SVC(C=4591.0699715979827, cache_size=1000, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.0091870131013592933, kernel='rbf', max_iter=-1, probability=True, random_state=3, shrinking=True, tol=0.01, 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
0.9676
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8547
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8061
Cross-validation details (10-fold Crossvalidation)
KB relative information score
651.9254
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1127
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8549
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8546
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.8546
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3007
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2266
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5234
Cross-validation details (10-fold Crossvalidation)