DEVELOPMENT... OpenML
Run
7773

Run 7773

Task 43 (Supervised Classification) spambase Uploaded 22-05-2014 by Felicia West
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I80
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9832
Per class
F measure
0.9462
Per class
Kappa
0.8873
KB relative information score
3852.7173
Mean absolute error
0.083
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
0.9462
Per class
Predictive accuracy
0.9463
Prior entropy
0.9674
Recall
0.9463
Per class
Relative absolute error
0.1739
Root mean prior squared error
0.4886
Root mean squared error
0.2054
Root relative squared error
0.4204
SciMark benchmark
946.8063[561.39059440769631015.5230404536866484.9782432137119912.12245438067161760.017229859821]

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