Run
208879

Run 208879

Task 4599 (Supervised Classification) gina_prior2 Uploaded 27-02-2015 by Jan van Rijn
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Flow

weka.AdaBoostM1_DecisionStump(12)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(12)_P100
weka.AdaBoostM1_DecisionStump(12)_S1
weka.AdaBoostM1_DecisionStump(12)_I80
weka.AdaBoostM1_DecisionStump(12)_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.

22 Evaluation measures

Area under ROC curve
0.6413
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.0752
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1117
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
5403.7688
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1718
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1799
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
34680
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.0462
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.208
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.3188
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.208
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9546
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2999
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2931
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9772
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1335.643
UserCPU time millis
380
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
380
Cross-validation details (10 times 10-fold Crossvalidation)