DEVELOPMENT... OpenML
Run
136205

Run 136205

Task 3675 (Supervised Classification) pbc 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
0.6523
Per class
Build CPU time
0.3968
Build memory
71494944.0383
F measure
0.6586
Per class
Kappa
0.3087
KB relative information score
129.7262
Mean absolute error
0.3404
Mean prior absolute error
0.495
Number of instances
418
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.661
Per class
Predictive accuracy
0.6627
Prior entropy
0.9928
Recall
0.6627
Per class
Relative absolute error
0.6877
Root mean prior squared error
0.4975
Root mean squared error
0.5768
Root relative squared error
1.1595
SciMark benchmark
947.5446