DEVELOPMENT... OpenML
Run
21954

Run 21954

Task 54 (Supervised Classification) hepatitis Uploaded 21-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I20
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_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
0.7039
Per class
F measure
0.7987
Per class
Kappa
0.3653
KB relative information score
45.2062
Mean absolute error
0.1971
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
0.794
Per class
Predictive accuracy
0.8065
Prior entropy
0.7418
Recall
0.8065
Per class
Relative absolute error
0.5974
Root mean prior squared error
0.4048
Root mean squared error
0.4299
Root relative squared error
1.0621
SciMark benchmark
940.8818[566.12811561982711009.1411391007196477.2185884444444895.30055461308191756.6205822745662]