DEVELOPMENT... OpenML
Run
112564

Run 112564

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)_I20
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
0.7794
Per class
Build CPU time
0.024
Build memory
560721656
F measure
0.8386
Per class
Kappa
0.565
KB relative information score
29.4185
Mean absolute error
0.1528
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
0.8373
Per class
Predictive accuracy
0.8431
Prior entropy
0.7418
Recall
0.8431
Per class
Relative absolute error
0.427
Root mean prior squared error
0.4381
Root mean squared error
0.3842
Root relative squared error
0.8771
SciMark benchmark
943.4039