Run
1673672

Run 1673672

Task 3510 (Supervised Classification) JapaneseVowels Uploaded 22-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_OneR(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.OneR(18)_B6
weka.AdaBoostM1_OneR(3)_P100
weka.AdaBoostM1_OneR(3)_S1
weka.AdaBoostM1_OneR(3)_I10
weka.AdaBoostM1_OneR(3)_Wweka.classifiers.rules.OneR

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.5783
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2536
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1561
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2082.9758
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1653
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1962
Cross-validation details (10-fold Crossvalidation)
Number of instances
9961
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2534
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.256
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.1321
Cross-validation details (10-fold Crossvalidation)
Recall
0.256
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8428
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3132
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4066
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2983
Cross-validation details (10-fold Crossvalidation)