DEVELOPMENT... OpenML
Run
136437

Run 136437

Task 20 (Supervised Classification) mfeat-pixel 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)_I160
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
0.858
Per class
Build CPU time
0.0256
Build memory
201624285.6
F measure
0.7076
Per class
Kappa
0.6756
KB relative information score
1406.2989
Mean absolute error
0.0594
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7082
Per class
Predictive accuracy
0.708
Prior entropy
3.3219
Recall
0.708
Per class
Relative absolute error
0.33
Root mean prior squared error
0.3
Root mean squared error
0.2316
Root relative squared error
0.7721
SciMark benchmark
947.5446