Run
2036040

Run 2036040

Task 3647 (Supervised Classification) rabe_266 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_22.33.41_2017 SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,stand ardscaler=sklearn.preprocessing.data.StandardScaler,kneighborsclassifier=sk learn.neighbors.classification.KNeighborsClassifier)(1)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(7)_algorithmauto
sklearn.neighbors.classification.KNeighborsClassifier(7)_leaf_size35
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)_p2
sklearn.neighbors.classification.KNeighborsClassifier(7)_weightsuniform
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,kneighborsclassifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)_steps[('DualImputer', ), ('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('kneighborsclassifier', KNeighborsClassifier(algorithm='auto', leaf_size=35, metric='minkowski', metric_params=None, n_jobs=-1, n_neighbors=3, p=2, weights='uniform'))]

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
0.9972
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9833
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9666
Cross-validation details (10-fold Crossvalidation)
KB relative information score
106.6032
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0611
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
0.9833
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9833
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9983
Cross-validation details (10-fold Crossvalidation)
Recall
0.9833
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1225
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1552
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3107
Cross-validation details (10-fold Crossvalidation)