Run
1603437

Run 1603437

Task 2074 (Supervised Classification) satimage 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
0.7017
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2904
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.269
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1730.986
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2224
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2701
Cross-validation details (10-fold Crossvalidation)
Number of instances
6430
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2288
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4373
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4836
Cross-validation details (10-fold Crossvalidation)
Recall
0.4373
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8235
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3675
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3336
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9078
Cross-validation details (10-fold Crossvalidation)