DEVELOPMENT... OpenML
Run
136250

Run 136250

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.8532
Per class
Build CPU time
0.0054
Build memory
751780262.4
F measure
0.854
Per class
Kappa
0.7066
KB relative information score
353.0158
Mean absolute error
0.146
Mean prior absolute error
0.4977
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
0.854
Per class
Predictive accuracy
0.854
Prior entropy
0.9967
Recall
0.854
Per class
Relative absolute error
0.2934
Root mean prior squared error
0.4988
Root mean squared error
0.3821
Root relative squared error
0.766
SciMark benchmark
927.1482