DEVELOPMENT... OpenML
Run
136528

Run 136528

Task 1773 (Supervised Classification) autos 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
0.7969
Per class
Build CPU time
0.0038
Build memory
564144249.1551
F measure
0.6603
Per class
Kappa
0.5592
KB relative information score
591.5791
Mean absolute error
0.0984
Mean prior absolute error
0.2209
Number of instances
1025
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6606
Per class
Predictive accuracy
0.6615
Prior entropy
2.3268
Recall
0.6615
Per class
Relative absolute error
0.4455
Root mean prior squared error
0.3318
Root mean squared error
0.3013
Root relative squared error
0.908
SciMark benchmark
941.8828