Run
10416719

Run 10416719

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 11-10-2019 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • ReproducibleBenchmark weka weka_3.4.3
Issue #Downvotes for this reason By


Flow

weka.classifiers.trees.J48(1)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.classifiers.trees.J48(1)_U["false"]
weka.classifiers.trees.J48(1)_O["false"]
weka.classifiers.trees.J48(1)_C["0.25"]
weka.classifiers.trees.J48(1)_M["2"]
weka.classifiers.trees.J48(1)_R["false"]
weka.classifiers.trees.J48(1)_B["false"]
weka.classifiers.trees.J48(1)_S["false"]
weka.classifiers.trees.J48(1)_L["false"]
weka.classifiers.trees.J48(1)_A["false"]
weka.classifiers.trees.J48(1)_J["false"]
weka.classifiers.trees.J48(1)_-doNotMakeSplitPointActualValue["false"]
weka.classifiers.trees.J48(1)_output-debug-info["false"]
weka.classifiers.trees.J48(1)_-do-not-check-capabilities["false"]

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
0.7016 ± 0.0562
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7717 ± 0.0334
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3475 ± 0.1001
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.1387 ± 0.0623
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3036 ± 0.0164
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_222', 'amd64', 'Linux', '3.10.0-1062.1.1.el7.x86_64']
Precision
0.7668 ± 0.0334
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7821 ± 0.0288
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Recall
0.7821 ± 0.0288
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8362 ± 0.0442
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
0.3988 ± 0.0203
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9366 ± 0.0468
Cross-validation details (10-fold Crossvalidation)