DEVELOPMENT... OpenML
Run
119596

Run 119596

Task 1799 (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)_I10
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
0.9854
Per class
Build CPU time
6.3549
Build memory
1703868280.8
F measure
0.9521
Per class
Kappa
0.9399
KB relative information score
1723.3484
Mean absolute error
0.016
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
0.9526
Per class
Predictive accuracy
0.9519
Prior entropy
2.4378
Recall
0.9519
Per class
Relative absolute error
0.06
Root mean prior squared error
0.3649
Root mean squared error
0.1248
Root relative squared error
0.3421
SciMark benchmark
927.3354