DEVELOPMENT... OpenML
Run
135015

Run 135015

Task 3696 (Supervised Classification) autoMpg 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)_I20
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
0.9134
Per class
Build CPU time
0.0032
Build memory
2291042320.0603
F measure
0.9045
Per class
Kappa
0.8087
KB relative information score
322.5591
Mean absolute error
0.0944
Mean prior absolute error
0.4987
Number of instances
398
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9046
Per class
Predictive accuracy
0.9045
Prior entropy
0.9982
Recall
0.9045
Per class
Relative absolute error
0.1892
Root mean prior squared error
0.4994
Root mean squared error
0.3043
Root relative squared error
0.6094
SciMark benchmark
939.084