DEVELOPMENT... OpenML
Run
136999

Run 136999

Task 3903 (Supervised Classification) pc3 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
0.7426
Per class
Build CPU time
3.1762
Build memory
1668725028.4325
F measure
0.8836
Per class
Kappa
0.3134
KB relative information score
344.7535
Mean absolute error
0.1069
Mean prior absolute error
0.1842
Number of instances
1563
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8775
Per class
Predictive accuracy
0.8944
Prior entropy
0.478
Recall
0.8944
Per class
Relative absolute error
0.5807
Root mean prior squared error
0.3031
Root mean squared error
0.3161
Root relative squared error
1.0426
SciMark benchmark
915.3856