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Run
17597

Run 17597

Task 2065 (Supervised Classification) primary-tumor Uploaded 09-06-2014 by Felicia West
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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)_I160
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
0.7165
Per class
F measure
0.3361
Per class
Kappa
0.3005
KB relative information score
93.7416
Mean absolute error
0.0683
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
0.3102
Per class
Predictive accuracy
0.3982
Prior entropy
3.7542
Recall
0.3982
Per class
Relative absolute error
0.8405
Root mean prior squared error
0.2011
Root mean squared error
0.1908
Root relative squared error
0.9489
SciMark benchmark
929.8487[557.97842207595451011.7905596720842451.53146111290704900.21979849863431727.7232870185824]