DEVELOPMENT... OpenML
Run
121263

Run 121263

Task 1799 (Supervised Classification) dermatology Uploaded 11-12-2014 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)_I80
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
0.9758
Per class
Build CPU time
70.1919
Build memory
2295646670.4
F measure
0.956
Per class
Kappa
0.9447
KB relative information score
1731.0278
Mean absolute error
0.0147
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
0.9564
Per class
Predictive accuracy
0.9557
Prior entropy
2.4378
Recall
0.9557
Per class
Relative absolute error
0.0551
Root mean prior squared error
0.3649
Root mean squared error
0.1207
Root relative squared error
0.3307
SciMark benchmark
930.5854