DEVELOPMENT... OpenML
Run
23865

Run 23865

Task 54 (Supervised Classification) hepatitis Uploaded 28-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I40
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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
0.7585
Per class
F measure
0.8202
Per class
Kappa
0.4358
KB relative information score
59.1604
Mean absolute error
0.1721
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
0.8167
Per class
Predictive accuracy
0.8258
Prior entropy
0.7418
Recall
0.8258
Per class
Relative absolute error
0.5216
Root mean prior squared error
0.4048
Root mean squared error
0.4076
Root relative squared error
1.007
SciMark benchmark
935.4682[567.04832706770641013.3868112175512481.71457151086304909.59057174132591705.6005910675785]