DEVELOPMENT... OpenML
Run
135436

Run 135436

Task 3055 (Supervised Classification) monks-problems-3 Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I40
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.9938
Per class
Build CPU time
0.019
Build memory
361748320
F measure
0.9836
Per class
Kappa
0.9663
KB relative information score
174.9486
Mean absolute error
0.0156
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
0.9841
Per class
Predictive accuracy
0.9835
Prior entropy
0.9989
Recall
0.9835
Per class
Relative absolute error
0.0314
Root mean prior squared error
0.4971
Root mean squared error
0.1204
Root relative squared error
0.2423
SciMark benchmark
935.6292

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