DEVELOPMENT... OpenML
Run
136191

Run 136191

Task 3670 (Supervised Classification) fri_c4_500_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
0.6342
Per class
Build CPU time
0.0109
Build memory
146982816
F measure
0.6357
Per class
Kappa
0.2687
KB relative information score
134.3519
Mean absolute error
0.364
Mean prior absolute error
0.4984
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6356
Per class
Predictive accuracy
0.636
Prior entropy
0.9978
Recall
0.636
Per class
Relative absolute error
0.7303
Root mean prior squared error
0.4992
Root mean squared error
0.6033
Root relative squared error
1.2085
SciMark benchmark
907.1899