DEVELOPMENT... OpenML
Run
111374

Run 111374

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

weka.AdaBoostM1_J48(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_J48(2)_I80
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.7996
Per class
Build CPU time
0.096
Build memory
129114840
F measure
0.8154
Per class
Kappa
0.4973
KB relative information score
25.6734
Mean absolute error
0.1743
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
0.8145
Per class
Predictive accuracy
0.8235
Prior entropy
0.7418
Recall
0.8235
Per class
Relative absolute error
0.4869
Root mean prior squared error
0.4381
Root mean squared error
0.415
Root relative squared error
0.9473
SciMark benchmark
943.4039