Run
1810286

Run 1810286

Task 9908 (Supervised Classification) autoUniv-au4-2500 Uploaded 27-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_J48(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.J48(33)_C0.25
weka.J48(33)_M2
weka.AdaBoostM1_J48(3)_P100
weka.AdaBoostM1_J48(3)_S1
weka.AdaBoostM1_J48(3)_I10
weka.AdaBoostM1_J48(3)_Wweka.classifiers.trees.J48

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
0.7449
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6408
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3801
Cross-validation details (10-fold Crossvalidation)
KB relative information score
933.6081
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2292
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3794
Cross-validation details (10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6232
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6628
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3187
Cross-validation details (10-fold Crossvalidation)
Recall
0.6628
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.604
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4501
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0335
Cross-validation details (10-fold Crossvalidation)