DEVELOPMENT... OpenML
Run
134415

Run 134415

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)_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
0.9106
Per class
Build CPU time
0.0032
Build memory
1587225188.7839
F measure
0.907
Per class
Kappa
0.8136
KB relative information score
324.5591
Mean absolute error
0.0919
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
0.9071
Per class
Predictive accuracy
0.907
Prior entropy
0.9982
Recall
0.907
Per class
Relative absolute error
0.1842
Root mean prior squared error
0.4994
Root mean squared error
0.3002
Root relative squared error
0.6012
SciMark benchmark
939.084