DEVELOPMENT... OpenML
Run
138305

Run 138305

Task 273 (Supervised Classification) spambase Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I40
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.9824
Per class
Build CPU time
7.502
Build memory
57186952
F measure
0.9539
Per class
Kappa
0.9031
KB relative information score
1358.1156
Mean absolute error
0.0481
Mean prior absolute error
0.4764
Number of instances
1518
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.954
Per class
Predictive accuracy
0.9539
Prior entropy
0.9674
Recall
0.9539
Per class
Relative absolute error
0.101
Root mean prior squared error
0.4875
Root mean squared error
0.2054
Root relative squared error
0.4213
SciMark benchmark
941.7846