DEVELOPMENT... OpenML
Run
136565

Run 136565

Task 1817 (Supervised Classification) vehicle 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
0.7767
Per class
Build CPU time
0.0065
Build memory
891546331.2
F measure
0.6653
Per class
Kappa
0.5544
KB relative information score
2527.4819
Mean absolute error
0.167
Mean prior absolute error
0.3748
Number of instances
4230
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6648
Per class
Predictive accuracy
0.666
Prior entropy
1.9991
Recall
0.666
Per class
Relative absolute error
0.4456
Root mean prior squared error
0.4329
Root mean squared error
0.4087
Root relative squared error
0.944
SciMark benchmark
874.2668

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