DEVELOPMENT... OpenML
Run
119529

Run 119529

Task 35 (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
0.9869
Per class
Build CPU time
19.9495
Build memory
201062844.5683
F measure
0.9645
Per class
Kappa
0.9555
KB relative information score
349.9494
Mean absolute error
0.0113
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
0.9645
Per class
Predictive accuracy
0.9645
Prior entropy
2.4378
Recall
0.9645
Per class
Relative absolute error
0.0424
Root mean prior squared error
0.3649
Root mean squared error
0.1044
Root relative squared error
0.2862
SciMark benchmark
913.3372