Run
7366

Run 7366

Task 4 (Supervised Classification) labor Uploaded 22-05-2014 by Joaquin Vanschoren
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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)_I40
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
0.9743
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9289
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8423
Cross-validation details (10-fold Crossvalidation)
KB relative information score
47.5498
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0717
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.457
Cross-validation details (10-fold Crossvalidation)
Number of instances
57
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9306
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9298
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.9298
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1569
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2621
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5492
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.3702[558.69335417099721014.9881073746852480.6364546036713913.39376464446721769.1393263693276]