DEVELOPMENT... OpenML
Run
132868

Run 132868

Task 43 (Supervised Classification) spambase Uploaded 27-12-2014 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)_I20
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
0.9725
Per class
Build CPU time
24.0379
Build memory
1428305456.3356
F measure
0.9554
Per class
Kappa
0.9063
KB relative information score
4162.4504
Mean absolute error
0.0446
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
0.9554
Per class
Predictive accuracy
0.9554
Prior entropy
0.9674
Recall
0.9554
Per class
Relative absolute error
0.0935
Root mean prior squared error
0.4886
Root mean squared error
0.2085
Root relative squared error
0.4267
SciMark benchmark
945.5885