DEVELOPMENT... OpenML
Run
118411

Run 118411

Task 35 (Supervised Classification) dermatology Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9926
Per class
Build CPU time
4.4132
Build memory
255739247.1913
F measure
0.9727
Per class
Kappa
0.9658
KB relative information score
353.4715
Mean absolute error
0.009
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
0.973
Per class
Predictive accuracy
0.9727
Prior entropy
2.4378
Recall
0.9727
Per class
Relative absolute error
0.0338
Root mean prior squared error
0.3649
Root mean squared error
0.0924
Root relative squared error
0.2533
SciMark benchmark
942.3919