DEVELOPMENT... OpenML
Run
113151

Run 113151

Task 1799 (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
0.989
Per class
Build CPU time
0.025
Build memory
1341320613.6
F measure
0.9526
Per class
Kappa
0.9405
KB relative information score
1722.4083
Mean absolute error
0.016
Mean prior absolute error
0.2664
Number of instances
1830
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9528
Per class
Predictive accuracy
0.9525
Prior entropy
2.4378
Recall
0.9525
Per class
Relative absolute error
0.06
Root mean prior squared error
0.3649
Root mean squared error
0.1235
Root relative squared error
0.3384
SciMark benchmark
939.0159