Run
2007841

Run 2007841

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_14.00.03_2017
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Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,kneig hborsclassifier=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_neighbors6
sklearn.neighbors.classification.KNeighborsClassifier(7)_p2
sklearn.neighbors.classification.KNeighborsClassifier(7)_weightsdistance
sklearn.pipeline.Pipeline(dualimputer=helper.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=6, 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
0.9878
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.95
Cross-validation details (10-fold Crossvalidation)
KB relative information score
140.8217
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.033
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9668
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0742
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1387
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2943
Cross-validation details (10-fold Crossvalidation)