DEVELOPMENT... OpenML
Run
134146

Run 134146

Task 1785 (Supervised Classification) car 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
0.8881
Per class
Build CPU time
0.0029
Build memory
335101358.4
F measure
0.8223
Per class
Kappa
0.6107
KB relative information score
5315.6871
Mean absolute error
0.0835
Mean prior absolute error
0.229
Number of instances
8640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8193
Per class
Predictive accuracy
0.8259
Prior entropy
1.2099
Recall
0.8259
Per class
Relative absolute error
0.3645
Root mean prior squared error
0.3381
Root mean squared error
0.2648
Root relative squared error
0.7831
SciMark benchmark
939.084