DEVELOPMENT... OpenML
Run
134256

Run 134256

Task 3496 (Supervised Classification) SPECTF 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
0.9034
Per class
Build CPU time
0.0026
Build memory
1641679514.7278
F measure
0.9048
Per class
Kappa
0.7664
KB relative information score
254.6009
Mean absolute error
0.0974
Mean prior absolute error
0.3968
Number of instances
349
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9112
Per class
Predictive accuracy
0.9026
Prior entropy
0.8464
Recall
0.9026
Per class
Relative absolute error
0.2455
Root mean prior squared error
0.4451
Root mean squared error
0.3121
Root relative squared error
0.7012
SciMark benchmark
946.9091