DEVELOPMENT... OpenML
Run
67115

Run 67115

Task 43 (Supervised Classification) spambase Uploaded 30-11-2014 by Felicia West
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Flow

weka.RealAdaBoost_Logistic(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.Logistic(2)_M-1
weka.Logistic(2)_R1.0E-8
weka.RealAdaBoost_Logistic(1)_P100
weka.RealAdaBoost_Logistic(1)_H1.0
weka.RealAdaBoost_Logistic(1)_S1
weka.RealAdaBoost_Logistic(1)_I10
weka.RealAdaBoost_Logistic(1)_Wweka.classifiers.functions.Logistic

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
0.9694
Per class
Build CPU time
2.7924
Build memory
95938290.8568
F measure
0.9222
Per class
Kappa
0.8367
KB relative information score
3444.3865
Mean absolute error
0.1281
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
0.9222
Per class
Predictive accuracy
0.9224
Prior entropy
0.9674
Recall
0.9224
Per class
Relative absolute error
0.2683
Root mean prior squared error
0.4886
Root mean squared error
0.2488
Root relative squared error
0.5091
SciMark benchmark
947.4075