DEVELOPMENT... OpenML
Run
12201

Run 12201

Task 6 (Supervised Classification) letter 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)_I10
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
0.9748
Per class
F measure
0.7332
Per class
Kappa
0.7222
KB relative information score
14443.4891
Mean absolute error
0.0337
Mean prior absolute error
0.074
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7361
Per class
Predictive accuracy
0.7329
Prior entropy
4.6998
Recall
0.7329
Per class
Relative absolute error
0.455
Root mean prior squared error
0.1923
Root mean squared error
0.12
Root relative squared error
0.6239
SciMark benchmark
946.5275[561.57136831653141014.9881711071126484.3219757802961911.17140496421141760.5845701777503]