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Run
16416

Run 16416

Task 2065 (Supervised Classification) primary-tumor Uploaded 04-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(1)_I10
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(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
0.7104
Per class
F measure
0.3546
Per class
Kappa
0.28
KB relative information score
15.2236
Mean absolute error
0.0853
Mean prior absolute error
0.0812
Number of instances
339
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3502
Per class
Predictive accuracy
0.3658
Prior entropy
3.7542
Recall
0.3658
Per class
Relative absolute error
1.0505
Root mean prior squared error
0.2011
Root mean squared error
0.2049
Root relative squared error
1.0192
SciMark benchmark
946.6539[562.65828827718581013.6533323510344481.28276544297296910.53832226537881765.136766288487]