DEVELOPMENT... OpenML
Run
135264

Run 135264

Task 47 (Supervised Classification) tae 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
0.835
Per class
Build CPU time
0.0743
Build memory
399888367.947
F measure
0.6884
Per class
Kappa
0.5332
KB relative information score
87.9806
Mean absolute error
0.2034
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6884
Per class
Predictive accuracy
0.6887
Prior entropy
1.5845
Recall
0.6887
Per class
Relative absolute error
0.4578
Root mean prior squared error
0.4713
Root mean squared error
0.4238
Root relative squared error
0.8992
SciMark benchmark
939.084