DEVELOPMENT... OpenML
Run
113070

Run 113070

Task 54 (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)_I10
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
0.8338
Per class
Build CPU time
0.0204
Build memory
476045990.4516
F measure
0.8378
Per class
Kappa
0.502
KB relative information score
63.1867
Mean absolute error
0.1682
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
0.8369
Per class
Predictive accuracy
0.8387
Prior entropy
0.7418
Recall
0.8387
Per class
Relative absolute error
0.5101
Root mean prior squared error
0.4048
Root mean squared error
0.3846
Root relative squared error
0.9503
SciMark benchmark
939.6298