DEVELOPMENT... OpenML
Run
135099

Run 135099

Task 3794 (Supervised Classification) disclosure_z 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
0.5064
Per class
Build CPU time
0.0071
Build memory
2464132578.5619
F measure
0.5081
Per class
Kappa
0.0129
KB relative information score
9.5269
Mean absolute error
0.4909
Mean prior absolute error
0.4987
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5078
Per class
Predictive accuracy
0.5091
Prior entropy
0.9981
Recall
0.5091
Per class
Relative absolute error
0.9845
Root mean prior squared error
0.4993
Root mean squared error
0.7007
Root relative squared error
1.4032
SciMark benchmark
946.9091