Run
2041951

Run 2041951

Task 3647 (Supervised Classification) rabe_266 Uploaded 15-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.0. Python_3.6.0. run_task Sat_Apr_15_19.37.11_2017 SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,standa rdscaler=sklearn.preprocessing.data.StandardScaler,kneighborsclassifier=skl earn.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_neighbors9
sklearn.neighbors.classification.KNeighborsClassifier(7)_p2
sklearn.neighbors.classification.KNeighborsClassifier(7)_weightsdistance
sklearn.preprocessing.data.StandardScaler(1)_copyTrue
sklearn.preprocessing.data.StandardScaler(1)_with_meanTrue
sklearn.preprocessing.data.StandardScaler(1)_with_stdTrue
sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)_steps[('dualimputer', ), ('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('kneighborsclassifier', KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=-1, n_neighbors=9, p=2, 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
0.9975
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.975
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9499
Cross-validation details (10-fold Crossvalidation)
KB relative information score
99.6337
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0938
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4988
Cross-validation details (10-fold Crossvalidation)
Number of instances
120
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9752
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.975
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9983
Cross-validation details (10-fold Crossvalidation)
Recall
0.975
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1881
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1838
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.368
Cross-validation details (10-fold Crossvalidation)