Run
2058930

Run 2058930

Task 15 (Supervised Classification) breast-w Uploaded 19-04-2017 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. Wed_Apr_19_02.18.37_2017
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Flow

sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,kneigh borsclassifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(7)_algorithmauto
sklearn.neighbors.classification.KNeighborsClassifier(7)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(7)_metricminkowski
sklearn.neighbors.classification.KNeighborsClassifier(7)_metric_paramsNone
sklearn.neighbors.classification.KNeighborsClassifier(7)_n_jobs-1
sklearn.neighbors.classification.KNeighborsClassifier(7)_n_neighbors3
sklearn.neighbors.classification.KNeighborsClassifier(7)_p1
sklearn.neighbors.classification.KNeighborsClassifier(7)_weightsdistance
sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)_steps[('dualimputer', ), ('kneighborsclassifier', KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=-1, n_neighbors=3, p=1, weights='distance'))]

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
0.9864
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9714
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9367
Cross-validation details (10-fold Crossvalidation)
KB relative information score
640.1323
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.038
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9714
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9714
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9714
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0841
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1578
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.332
Cross-validation details (10-fold Crossvalidation)