DEVELOPMENT... OpenML
Run
8629

Run 8629

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)_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
0.9943
Per class
F measure
0.8651
Per class
Kappa
0.8596
KB relative information score
17329.7143
Mean absolute error
0.0175
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
0.8658
Per class
Predictive accuracy
0.865
Prior entropy
4.6998
Recall
0.865
Per class
Relative absolute error
0.2372
Root mean prior squared error
0.1923
Root mean squared error
0.0873
Root relative squared error
0.454
SciMark benchmark
948.3217[560.84905630822271016.0585376856843483.8854846559526913.39368876640651767.4218398162996]