DEVELOPMENT... OpenML
Run
136992

Run 136992

Task 3909 (Supervised Classification) ar1 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
0.6101
Per class
Build CPU time
0.0763
Build memory
819571527.9339
F measure
0.8773
Per class
Kappa
-0.0386
KB relative information score
-1.405
Mean absolute error
0.0996
Mean prior absolute error
0.1436
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.855
Per class
Predictive accuracy
0.9008
Prior entropy
0.4067
Recall
0.9008
Per class
Relative absolute error
0.6939
Root mean prior squared error
0.2625
Root mean squared error
0.3083
Root relative squared error
1.1746
SciMark benchmark
923.564