DEVELOPMENT... OpenML
Run
116951

Run 116951

Task 265 (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)_I80
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
0.9856
Per class
Build CPU time
27.669
Build memory
634116648
F measure
0.9665
Per class
Kappa
0.9579
KB relative information score
113.5146
Mean absolute error
0.0111
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
0.9672
Per class
Predictive accuracy
0.9667
Prior entropy
2.4378
Recall
0.9667
Per class
Relative absolute error
0.0417
Root mean prior squared error
0.3633
Root mean squared error
0.1049
Root relative squared error
0.2886
SciMark benchmark
914.1182