DEVELOPMENT... OpenML
Run
116467

Run 116467

Task 1799 (Supervised Classification) dermatology Uploaded 09-12-2014 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)_I160
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
0.9787
Per class
Build CPU time
40.1955
Build memory
1104348578.4
F measure
0.9604
Per class
Kappa
0.9501
KB relative information score
1739.288
Mean absolute error
0.0133
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
0.9609
Per class
Predictive accuracy
0.9601
Prior entropy
2.4378
Recall
0.9601
Per class
Relative absolute error
0.0499
Root mean prior squared error
0.3649
Root mean squared error
0.1152
Root relative squared error
0.3158
SciMark benchmark
934.8107