DEVELOPMENT... OpenML
Run
117403

Run 117403

Task 35 (Supervised Classification) dermatology Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I40
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9902
Per class
Build CPU time
15.1897
Build memory
210320001.7049
F measure
0.9781
Per class
Kappa
0.9726
KB relative information score
355.2184
Mean absolute error
0.0077
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
0.9781
Per class
Predictive accuracy
0.9781
Prior entropy
2.4378
Recall
0.9781
Per class
Relative absolute error
0.0289
Root mean prior squared error
0.3649
Root mean squared error
0.0859
Root relative squared error
0.2355
SciMark benchmark
899.2335