DEVELOPMENT... OpenML
Run
135914

Run 135914

Task 273 (Supervised Classification) spambase 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)_I80
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
0.9706
Per class
Build CPU time
3.529
Build memory
1963731752
F measure
0.9341
Per class
Kappa
0.8612
KB relative information score
1297.7171
Mean absolute error
0.0665
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
0.9341
Per class
Predictive accuracy
0.9341
Prior entropy
0.9674
Recall
0.9341
Per class
Relative absolute error
0.1395
Root mean prior squared error
0.4875
Root mean squared error
0.2479
Root relative squared error
0.5085
SciMark benchmark
934.6076