DEVELOPMENT... OpenML
Run
134439

Run 134439

Task 3725 (Supervised Classification) auto93 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
0.7791
Per class
Build CPU time
0.001
Build memory
48781784.2581
F measure
0.7602
Per class
Kappa
0.4844
KB relative information score
45.3217
Mean absolute error
0.2348
Mean prior absolute error
0.4701
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.76
Per class
Predictive accuracy
0.7634
Prior entropy
0.9573
Recall
0.7634
Per class
Relative absolute error
0.4995
Root mean prior squared error
0.4845
Root mean squared error
0.4659
Root relative squared error
0.9617
SciMark benchmark
946.9091