Run
21793

Run 21793

Task 2071 (Supervised Classification) adult Uploaded 20-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(1)_I20
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.8782
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8252
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5123
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21664.4634
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1818
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
0.8232
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8282
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8282
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3686
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8639
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
941.8266[564.6619124438491013.3868112175512484.10363182779514912.12245438067161734.8581099187907]