DEVELOPMENT... OpenML
Run
7275

Run 7275

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)_I20
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
0.978
Per class
F measure
0.9326
Per class
Kappa
0.8584
KB relative information score
3646.7118
Mean absolute error
0.1061
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
0.9328
Per class
Predictive accuracy
0.9328
Prior entropy
0.9674
Recall
0.9328
Per class
Relative absolute error
0.2223
Root mean prior squared error
0.4886
Root mean squared error
0.2267
Root relative squared error
0.464
SciMark benchmark
947.5458[565.57740346189041011.7904963405887484.54051677983614914.66854765231311761.152276377127]