DEVELOPMENT... OpenML
Run
116905

Run 116905

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)_I80
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
0.9873
Per class
Build CPU time
35.691
Build memory
67830591.9563
F measure
0.9754
Per class
Kappa
0.9692
KB relative information score
354.4752
Mean absolute error
0.0082
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
0.9755
Per class
Predictive accuracy
0.9754
Prior entropy
2.4378
Recall
0.9754
Per class
Relative absolute error
0.0308
Root mean prior squared error
0.3649
Root mean squared error
0.0905
Root relative squared error
0.2481
SciMark benchmark
923.3659