Run
10452855

Run 10452855

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 13-05-2020 by Marcos de Paula Bueno
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.neighbors.classification.KNeighborsClassifier(40)Classifier implementing the k-nearest neighbors vote.
sklearn.neighbors.classification.KNeighborsClassifier(40)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(40)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(40)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(40)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(40)_n_jobsnull
sklearn.neighbors.classification.KNeighborsClassifier(40)_n_neighbors4
sklearn.neighbors.classification.KNeighborsClassifier(40)_p2
sklearn.neighbors.classification.KNeighborsClassifier(40)_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
0.68 ± 0.0741
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7175 ± 0.0477
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1689 ± 0.135
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0808 ± 0.1252
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3045 ± 0.0357
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7487 ± 0.0473
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7089 ± 0.0724
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7487 ± 0.0473
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8387 ± 0.0973
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
0.4329 ± 0.038
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0166 ± 0.089
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.5704 ± 0.0564
Cross-validation details (10-fold Crossvalidation)