DEVELOPMENT... OpenML
Run
134046

Run 134046

Task 23 (Supervised Classification) cmc 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
0.6439
Per class
Build CPU time
0.0915
Build memory
236378966.0122
F measure
0.4793
Per class
Kappa
0.1955
KB relative information score
380.2621
Mean absolute error
0.3479
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4788
Per class
Predictive accuracy
0.4807
Prior entropy
1.5392
Recall
0.4807
Per class
Relative absolute error
0.8076
Root mean prior squared error
0.4641
Root mean squared error
0.5531
Root relative squared error
1.1918
SciMark benchmark
939.084