Run
1642225

Run 1642225

Task 9904 (Supervised Classification) autoUniv-au6-750 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
0.4798
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1259
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0063
Cross-validation details (10-fold Crossvalidation)
KB relative information score
25.7093
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2125
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2137
Cross-validation details (10-fold Crossvalidation)
Number of instances
750
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1009
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.196
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.8958
Cross-validation details (10-fold Crossvalidation)
Recall
0.196
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9941
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3269
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3265
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9989
Cross-validation details (10-fold Crossvalidation)