Run
17834

Run 17834

Task 51 (Supervised Classification) trains Uploaded 09-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(1)_I160
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.36
Per class
F measure
0.375
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.2
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-2.7776
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.6417
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
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.381
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.4
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2833
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.7857
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.5714
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
925.3925[565.39404163109531008.8769851701059467.0473303259299877.91022987830261707.7338975458717]