DEVELOPMENT... OpenML
Run
134969

Run 134969

Task 3643 (Supervised Classification) sleuth_ex1714 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)_I20
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
0.9194
Per class
Build CPU time
0.0007
Build memory
2022792264
F measure
0.9153
Per class
Kappa
0.8282
KB relative information score
38.6991
Mean absolute error
0.0851
Mean prior absolute error
0.4894
Number of instances
47
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.919
Per class
Predictive accuracy
0.9149
Prior entropy
0.9852
Recall
0.9149
Per class
Relative absolute error
0.1739
Root mean prior squared error
0.4944
Root mean squared error
0.2917
Root relative squared error
0.59
SciMark benchmark
939.084