DEVELOPMENT... OpenML
Run
134115

Run 134115

Task 277 (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)_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
0.7613
Per class
Build CPU time
0.008
Build memory
470975672
F measure
0.589
Per class
Kappa
0.3852
KB relative information score
21.8148
Mean absolute error
0.2709
Mean prior absolute error
0.4445
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.589
Per class
Predictive accuracy
0.5918
Prior entropy
1.5845
Recall
0.5918
Per class
Relative absolute error
0.6095
Root mean prior squared error
0.4715
Root mean squared error
0.4853
Root relative squared error
1.0293
SciMark benchmark
946.9091