DEVELOPMENT... OpenML
Run
136635

Run 136635

Task 3055 (Supervised Classification) monks-problems-3 Uploaded 31-12-2014 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)_I160
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
0.9944
Per class
Build CPU time
0.108
Build memory
989866168
F measure
0.9836
Per class
Kappa
0.9663
KB relative information score
174.7481
Mean absolute error
0.0162
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
0.0327
Root mean prior squared error
0.4971
Root mean squared error
0.1259
Root relative squared error
0.2533
SciMark benchmark
927.1482

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