Run
1603383

Run 1603383

Task 16 (Supervised Classification) mfeat-karhunen 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
0.6812
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0889
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.105
Cross-validation details (10-fold Crossvalidation)
KB relative information score
410.4581
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1677
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.0609
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1945
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.1945
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9316
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2897
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9656
Cross-validation details (10-fold Crossvalidation)