DEVELOPMENT... OpenML
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117547

Run 117547

Task 3054 (Supervised Classification) monks-problems-2 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)_I40
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
0.9546
Per class
Build CPU time
0.917
Build memory
826870416
F measure
0.9135
Per class
Kappa
0.8129
KB relative information score
145.9154
Mean absolute error
0.1364
Mean prior absolute error
0.4588
Number of instances
198
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9141
Per class
Predictive accuracy
0.9141
Prior entropy
0.9279
Recall
0.9141
Per class
Relative absolute error
0.2972
Root mean prior squared error
0.4831
Root mean squared error
0.2664
Root relative squared error
0.5514
SciMark benchmark
874.7324