DEVELOPMENT... OpenML
Run
118338

Run 118338

Task 3873 (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)_I20
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
1
Per class
Build CPU time
5.2856
Build memory
521291280.5902
F measure
0.9973
Per class
Kappa
0.9936
KB relative information score
363.0198
Mean absolute error
0.0027
Mean prior absolute error
0.4251
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
0.9973
Per class
Predictive accuracy
0.9973
Prior entropy
0.8898
Recall
0.9973
Per class
Relative absolute error
0.0063
Root mean prior squared error
0.4608
Root mean squared error
0.0511
Root relative squared error
0.1108
SciMark benchmark
944.4197