DEVELOPMENT... OpenML
Run
20860

Run 20860

Task 54 (Supervised Classification) hepatitis Uploaded 18-06-2014 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)_I40
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
0.706
Per class
F measure
0.7957
Per class
Kappa
0.3491
KB relative information score
46.8075
Mean absolute error
0.1947
Mean prior absolute error
0.3299
Number of instances
155
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7903
Per class
Predictive accuracy
0.8065
Prior entropy
0.7418
Recall
0.8065
Per class
Relative absolute error
0.5901
Root mean prior squared error
0.4048
Root mean squared error
0.4252
Root relative squared error
1.0504
SciMark benchmark
947.3624[568.89779800413941013.9200573100866484.3219757802961910.22226140528711759.4501199261804]