DEVELOPMENT... OpenML
Run
107459

Run 107459

Task 284 (Supervised Classification) hepatitis Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(2)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_BFTree(2)_I40
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.6964
Per class
Build CPU time
0.512
Build memory
1785601976
F measure
0.7226
Per class
Kappa
0.2318
KB relative information score
12.3851
Mean absolute error
0.2495
Mean prior absolute error
0.3579
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7166
Per class
Predictive accuracy
0.7451
Prior entropy
0.7418
Recall
0.7451
Per class
Relative absolute error
0.6971
Root mean prior squared error
0.4381
Root mean squared error
0.4947
Root relative squared error
1.1291
SciMark benchmark
940.0851