Run
1847773

Run 1847773

Task 10 (Supervised Classification) lymph Uploaded 23-02-2017 by Niels Hellinga
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  • NumPy_1.11.3. Python_3.6.0. run_task SciPy_0.18.1. sklearn.neighbors.classification.KNeighborsClassifier Sklearn_0.18.1. Thu_Feb_23_15.47.37_2017
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Flow

sklearn.neighbors.classification.KNeighborsClassifier(7)Automatically created sub-component.
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_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(7)_n_neighbors4
sklearn.neighbors.classification.KNeighborsClassifier(7)_p2
sklearn.neighbors.classification.KNeighborsClassifier(7)_weightsuniform

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
0.8425
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7326
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5056
Cross-validation details (10-fold Crossvalidation)
KB relative information score
72.2639
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1427
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7412
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7568
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.7568
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5331
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.291
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7995
Cross-validation details (10-fold Crossvalidation)