Run
21843

Run 21843

Task 2071 (Supervised Classification) adult Uploaded 20-06-2014 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)_I80
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
0.7913
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8149
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4845
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21304.5277
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.182
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
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
0.8129
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8177
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8177
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5001
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4202
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9848
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
926.7939[555.49063112315721006.5056202244749465.4277678357406882.63972213719691723.9057332468865]