DEVELOPMENT... OpenML
Run
134148

Run 134148

Task 1786 (Supervised Classification) mfeat-zernike 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
0.7809
Per class
Build CPU time
0.0253
Build memory
629306962.4
F measure
0.6085
Per class
Kappa
0.5618
KB relative information score
5875.5325
Mean absolute error
0.0789
Mean prior absolute error
0.18
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6115
Per class
Predictive accuracy
0.6056
Prior entropy
3.3219
Recall
0.6056
Per class
Relative absolute error
0.4382
Root mean prior squared error
0.3
Root mean squared error
0.2809
Root relative squared error
0.9362
SciMark benchmark
946.9091