Run
15980

Run 15980

Task 42 (Supervised Classification) haberman Uploaded 04-06-2014 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
0.5888
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6599
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1179
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11.9219
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3396
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.39
Cross-validation details (10-fold Crossvalidation)
Number of instances
306
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
0.6567
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6634
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.836
Cross-validation details (10-fold Crossvalidation)
Recall
0.6634
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8707
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4412
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5712
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2947
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.9421[548.33091579301311014.1868590421574476.37171629653386914.66854765231311761.1524117823017]