DEVELOPMENT... OpenML
Run
133951

Run 133951

Task 3849 (Supervised Classification) analcatdata_marketing Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I10
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.5315
Per class
Build CPU time
0.0691
Build memory
342450189.6044
F measure
0.5552
Per class
Kappa
-0.0153
KB relative information score
-10.589
Mean absolute error
0.4345
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
0.5189
Per class
Predictive accuracy
0.6731
Prior entropy
0.901
Recall
0.6731
Per class
Relative absolute error
1.0043
Root mean prior squared error
0.4649
Root mean squared error
0.4693
Root relative squared error
1.0095
SciMark benchmark
946.9091