DEVELOPMENT... OpenML
Run
145298

Run 145298

Task 43 (Supervised Classification) spambase 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
0.9805
Per class
F measure
0.9465
Per class
Kappa
0.888
KB relative information score
4076.0314
Mean absolute error
0.0534
Mean prior absolute error
0.4776
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9465
Per class
Predictive accuracy
0.9465
Prior entropy
0.9674
Recall
0.9465
Per class
Relative absolute error
0.1119
Root mean prior squared error
0.4886
Root mean squared error
0.2199
Root relative squared error
0.4501
SciMark benchmark
948.1045
UserCPU time millis
19860
UserCPU time millis testing
20
UserCPU time millis training
19840