DEVELOPMENT... OpenML
Run
120572

Run 120572

Task 3873 (Supervised Classification) dermatology Uploaded 10-12-2014 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)_I20
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
0.9978
Per class
Build CPU time
8.7764
Build memory
55776007.541
F measure
0.9973
Per class
Kappa
0.9936
KB relative information score
359.5871
Mean absolute error
0.0071
Mean prior absolute error
0.4251
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
0.9973
Per class
Predictive accuracy
0.9973
Prior entropy
0.8898
Recall
0.9973
Per class
Relative absolute error
0.0166
Root mean prior squared error
0.4608
Root mean squared error
0.0612
Root relative squared error
0.1328
SciMark benchmark
942.0791

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