DEVELOPMENT... OpenML
Run
113109

Run 113109

Task 265 (Supervised Classification) dermatology 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
0.9888
Per class
Build CPU time
0.037
Build memory
575013896
F measure
0.9422
Per class
Kappa
0.9265
KB relative information score
111.1859
Mean absolute error
0.0185
Mean prior absolute error
0.2653
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9446
Per class
Predictive accuracy
0.9417
Prior entropy
2.4378
Recall
0.9417
Per class
Relative absolute error
0.0697
Root mean prior squared error
0.3633
Root mean squared error
0.128
Root relative squared error
0.3522
SciMark benchmark
939.6298