Run
10587655

Run 10587655

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 09-12-2021 by Oleksandr Zadorozhnyi
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Flow

sklearn.neighbors._classification.KNeighborsClassifier(11)Classifier implementing the k-nearest neighbors vote.
sklearn.neighbors._classification.KNeighborsClassifier(11)_algorithm"auto"
sklearn.neighbors._classification.KNeighborsClassifier(11)_leaf_size30
`, in which case only "nonzero" elements may be considered neighbors">sklearn.neighbors._classification.KNeighborsClassifier(11)_metric"minkowski"
sklearn.neighbors._classification.KNeighborsClassifier(11)_metric_paramsnull
sklearn.neighbors._classification.KNeighborsClassifier(11)_n_jobsnull
sklearn.neighbors._classification.KNeighborsClassifier(11)_n_neighbors5
sklearn.neighbors._classification.KNeighborsClassifier(11)_p2
sklearn.neighbors._classification.KNeighborsClassifier(11)_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.

18 Evaluation measures

Area under ROC curve
0.6889 ± 0.0856
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7254 ± 0.043
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2064 ± 0.1208
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0773 ± 0.1198
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3053 ± 0.0323
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7433 ± 0.0435
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7164 ± 0.0547
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7433 ± 0.0435
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8411 ± 0.0893
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4226 ± 0.0343
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9924 ± 0.0816
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.592 ± 0.0547
Cross-validation details (10-fold Crossvalidation)