DEVELOPMENT... OpenML
Run
136467

Run 136467

Task 54 (Supervised Classification) hepatitis Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.7242
Per class
Build CPU time
0.0612
Build memory
911629602.3226
F measure
0.8068
Per class
Kappa
0.394
KB relative information score
48.7176
Mean absolute error
0.1905
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
0.8029
Per class
Predictive accuracy
0.8129
Prior entropy
0.7418
Recall
0.8129
Per class
Relative absolute error
0.5777
Root mean prior squared error
0.4048
Root mean squared error
0.4222
Root relative squared error
1.0432
SciMark benchmark
941.8828