Run
1673722

Run 1673722

Task 9906 (Supervised Classification) autoUniv-au7-1100 Uploaded 22-07-2016 by Jan van Rijn
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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
0.5286
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2622
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0588
Cross-validation details (10-fold Crossvalidation)
KB relative information score
165.1916
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2913
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3154
Cross-validation details (10-fold Crossvalidation)
Number of instances
1100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2675
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2718
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.281
Cross-validation details (10-fold Crossvalidation)
Recall
0.2718
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9235
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3971
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5397
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3591
Cross-validation details (10-fold Crossvalidation)