Run
257

Run 257

Task 51 (Supervised Classification) trains Uploaded 07-04-2014 by Jan van Rijn
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Flow

weka.AdaBoostM1_DecisionStump(1)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(1)_I10
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.58
Per class
F measure
0.4949
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.6891
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4614
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
10
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9227
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6605
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.321
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2011.0691