DEVELOPMENT... OpenML
Run
111950

Run 111950

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)_I40
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
0.985
Per class
Build CPU time
0.153
Build memory
1133783160
F measure
0.9747
Per class
Kappa
0.9684
KB relative information score
114.6521
Mean absolute error
0.0084
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
0.977
Per class
Predictive accuracy
0.975
Prior entropy
2.4378
Recall
0.975
Per class
Relative absolute error
0.0317
Root mean prior squared error
0.3633
Root mean squared error
0.0913
Root relative squared error
0.2513
SciMark benchmark
936.1433