Run
1604371

Run 1604371

Task 3534 (Supervised Classification) ohscal.wc Uploaded 19-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_DecisionStump(14)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(14)_P100
weka.AdaBoostM1_DecisionStump(14)_S1
weka.AdaBoostM1_DecisionStump(14)_I10
weka.AdaBoostM1_DecisionStump(14)_Wweka.classifiers.trees.DecisionStump

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
0.5846
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1323
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1095
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1261.2675
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1651
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1787
Cross-validation details (10-fold Crossvalidation)
Number of instances
11162
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1146
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2358
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2759
Cross-validation details (10-fold Crossvalidation)
Recall
0.2358
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9238
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2873
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9612
Cross-validation details (10-fold Crossvalidation)