DEVELOPMENT... OpenML
Run
120143

Run 120143

Task 43 (Supervised Classification) spambase Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9808
Per class
Build CPU time
442.2099
Build memory
1458161086.1552
F measure
0.9552
Per class
Kappa
0.9062
KB relative information score
4151.3372
Mean absolute error
0.0459
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
0.9552
Per class
Predictive accuracy
0.9552
Prior entropy
0.9674
Recall
0.9552
Per class
Relative absolute error
0.0962
Root mean prior squared error
0.4886
Root mean squared error
0.2054
Root relative squared error
0.4203
SciMark benchmark
930.5854