DEVELOPMENT... OpenML
Run
136299

Run 136299

Task 3795 (Supervised Classification) fri_c4_100_50 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)_I80
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
0.6315
Per class
Build CPU time
0.0038
Build memory
58328026.4
F measure
0.6407
Per class
Kappa
0.2702
KB relative information score
28.541
Mean absolute error
0.35
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6478
Per class
Predictive accuracy
0.65
Prior entropy
0.99
Recall
0.65
Per class
Relative absolute error
0.71
Root mean prior squared error
0.4964
Root mean squared error
0.5916
Root relative squared error
1.1918
SciMark benchmark
939.8609