DEVELOPMENT... OpenML
Run
18652

Run 18652

Task 27 (Supervised Classification) colic Uploaded 11-06-2014 by Felicia West
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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
0.8043
Per class
F measure
0.7848
Per class
Kappa
0.5446
KB relative information score
190.6859
Mean absolute error
0.218
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7899
Per class
Predictive accuracy
0.7826
Prior entropy
0.9509
Recall
0.7826
Per class
Relative absolute error
0.4677
Root mean prior squared error
0.4827
Root mean squared error
0.4536
Root relative squared error
0.9398
SciMark benchmark
940.9555[560.48863959327881010.4641127049078471.5598802745526909.59057174132591752.6742701479243]