DEVELOPMENT... OpenML
Run
134655

Run 134655

Task 30 (Supervised Classification) page-blocks 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)_I20
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
0.9708
Per class
Build CPU time
0.9942
Build memory
1589556163.248
F measure
0.9719
Per class
Kappa
0.8519
KB relative information score
4384.7979
Mean absolute error
0.0117
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9716
Per class
Predictive accuracy
0.9724
Prior entropy
0.6391
Recall
0.9724
Per class
Relative absolute error
0.1539
Root mean prior squared error
0.1949
Root mean squared error
0.1026
Root relative squared error
0.5264
SciMark benchmark
939.084