Run
650

Run 650

Task 89 (Learning Curve) page-blocks Uploaded 07-04-2014 by Jan van Rijn
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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

0.9878 ± 0.006
Per class
0.967 ± 0.0076
Per class
0.8263 ± 0.0398
0.7497 ± 0.0361
0.0191 ± 0.0022
0.0762 ± 0.0003
54730
Per class
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
0.9666 ± 0.0078
Per class
0.9683 ± 0.0071
0.6355 ± 0.0053
0.9683 ± 0.0071
Per class
0.2513 ± 0.0291
0.1948 ± 0.0007
0.0986 ± 0.0089
0.5059 ± 0.0461
886.533