DEVELOPMENT... OpenML
Run
7567

Run 7567

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)_I40
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
0.9913
Per class
F measure
0.8375
Per class
Kappa
0.8308
KB relative information score
16671.8434
Mean absolute error
0.0215
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
0.8388
Per class
Predictive accuracy
0.8373
Prior entropy
4.6998
Recall
0.8373
Per class
Relative absolute error
0.2902
Root mean prior squared error
0.1923
Root mean squared error
0.0957
Root relative squared error
0.4975
SciMark benchmark
947.7914[560.30860489012831015.7907504114269483.88543266528814912.12245438067161766.8499488170112]