DEVELOPMENT... OpenML
Run
134130

Run 134130

Task 1766 (Supervised Classification) anneal 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)_I10
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
0.9513
Per class
Build CPU time
0.0794
Build memory
1031662189.6
F measure
0.9312
Per class
Kappa
0.8245
KB relative information score
3596.721
Mean absolute error
0.0228
Mean prior absolute error
0.1343
Number of instances
4490
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9312
Per class
Predictive accuracy
0.9323
Prior entropy
1.2149
Recall
0.9323
Per class
Relative absolute error
0.1696
Root mean prior squared error
0.2582
Root mean squared error
0.1455
Root relative squared error
0.5636
SciMark benchmark
946.9091