DEVELOPMENT... OpenML
Run
135152

Run 135152

Task 3849 (Supervised Classification) analcatdata_marketing 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
0.4901
Per class
Build CPU time
0.0026
Build memory
2111235241.6703
F measure
0.5659
Per class
Kappa
0.0108
KB relative information score
-36.1343
Mean absolute error
0.4475
Mean prior absolute error
0.4326
Number of instances
364
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5725
Per class
Predictive accuracy
0.5604
Prior entropy
0.901
Recall
0.5604
Per class
Relative absolute error
1.0344
Root mean prior squared error
0.4649
Root mean squared error
0.648
Root relative squared error
1.3939
SciMark benchmark
939.084