DEVELOPMENT... OpenML
Run
145629

Run 145629

Task 3849 (Supervised Classification) analcatdata_marketing Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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.

22 Evaluation measures

Area under ROC curve
0.5201
Per class
F measure
0.6012
Per class
Kappa
0.0762
KB relative information score
2.6941
Mean absolute error
0.4031
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
0.6007
Per class
Predictive accuracy
0.6016
Prior entropy
0.901
Recall
0.6016
Per class
Relative absolute error
0.9318
Root mean prior squared error
0.4649
Root mean squared error
0.5818
Root relative squared error
1.2515
SciMark benchmark
942.6953
UserCPU time millis
2790
UserCPU time millis training
2790