DEVELOPMENT... OpenML
Run
111898

Run 111898

Task 35 (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
0.9853
Per class
Build CPU time
0.1557
Build memory
1136121923.7814
F measure
0.9699
Per class
Kappa
0.9624
KB relative information score
352.3888
Mean absolute error
0.01
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9701
Per class
Predictive accuracy
0.9699
Prior entropy
2.4378
Recall
0.9699
Per class
Relative absolute error
0.0376
Root mean prior squared error
0.3649
Root mean squared error
0.1001
Root relative squared error
0.2743
SciMark benchmark
936.1433