DEVELOPMENT... OpenML
Run
105297

Run 105297

Task 3055 (Supervised Classification) monks-problems-3 Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9939
Per class
Build CPU time
0.031
Build memory
93201424
F measure
0.9945
Per class
Kappa
0.9887
KB relative information score
177.8658
Mean absolute error
0.0082
Mean prior absolute error
0.4967
Number of instances
182
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9946
Per class
Predictive accuracy
0.9945
Prior entropy
0.9989
Recall
0.9945
Per class
Relative absolute error
0.0166
Root mean prior squared error
0.4971
Root mean squared error
0.0783
Root relative squared error
0.1576
SciMark benchmark
919.5281