DEVELOPMENT... OpenML
Run
136119

Run 136119

Task 3592 (Supervised Classification) fri_c2_100_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
0.7167
Per class
Build CPU time
0.0059
Build memory
17688939.2
F measure
0.7294
Per class
Kappa
0.4351
KB relative information score
42.7627
Mean absolute error
0.27
Mean prior absolute error
0.4804
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
0.729
Per class
Predictive accuracy
0.73
Prior entropy
0.9721
Recall
0.73
Per class
Relative absolute error
0.562
Root mean prior squared error
0.4899
Root mean squared error
0.5196
Root relative squared error
1.0607
SciMark benchmark
874.2668