DEVELOPMENT... OpenML
Run
110790

Run 110790

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)_I160
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
0.9755
Per class
Build CPU time
0.455
Build memory
215805624
F measure
0.9586
Per class
Kappa
0.9474
KB relative information score
112.5828
Mean absolute error
0.0139
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
0.9604
Per class
Predictive accuracy
0.9583
Prior entropy
2.4378
Recall
0.9583
Per class
Relative absolute error
0.0523
Root mean prior squared error
0.3633
Root mean squared error
0.1179
Root relative squared error
0.3244
SciMark benchmark
908.2898