DEVELOPMENT... OpenML
Run
121748

Run 121748

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

weka.AdaBoostM1_LMT(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_LMT(2)_I160
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9792
Per class
Build CPU time
266.0774
Build memory
1044769570.2732
F measure
0.9644
Per class
Kappa
0.9556
KB relative information score
349.4877
Mean absolute error
0.0118
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
0.9644
Per class
Predictive accuracy
0.9645
Prior entropy
2.4378
Recall
0.9645
Per class
Relative absolute error
0.0444
Root mean prior squared error
0.3649
Root mean squared error
0.1088
Root relative squared error
0.2982
SciMark benchmark
935.1241