DEVELOPMENT... OpenML
Run
134543

Run 134543

Task 3841 (Supervised Classification) mfeat-factors 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
0.9294
Per class
Build CPU time
0.023
Build memory
1516331678.4
F measure
0.9768
Per class
Kappa
0.8705
KB relative information score
1655.3107
Mean absolute error
0.023
Mean prior absolute error
0.1803
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
0.9767
Per class
Predictive accuracy
0.977
Prior entropy
0.4703
Recall
0.977
Per class
Relative absolute error
0.1276
Root mean prior squared error
0.3
Root mean squared error
0.1517
Root relative squared error
0.5055
SciMark benchmark
939.084