DEVELOPMENT... OpenML
Run
134348

Run 134348

Task 3622 (Supervised Classification) autoPrice 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
0.9579
Per class
Build CPU time
0.0013
Build memory
724317124.3774
F measure
0.9623
Per class
Kappa
0.9159
KB relative information score
144.7342
Mean absolute error
0.0377
Mean prior absolute error
0.4492
Number of instances
159
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9623
Per class
Predictive accuracy
0.9623
Prior entropy
0.9264
Recall
0.9623
Per class
Relative absolute error
0.084
Root mean prior squared error
0.4736
Root mean squared error
0.1943
Root relative squared error
0.4102
SciMark benchmark
946.9091