Run
821

Run 821

Task 66 (Learning Curve) audiology Uploaded 08-04-2014 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.

17 Evaluation measures

Area under ROC curve
0.96 ± 0.0252
Per class
Kappa
0.809 ± 0.09
KB relative information score
0.7795 ± 0.0914
Mean absolute error
0.0175 ± 0.0054
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.8367 ± 0.077
Prior entropy
3.4373 ± 0.1528
Recall
0.8367 ± 0.077
Per class
Relative absolute error
0.2423 ± 0.074
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.1041 ± 0.0244
Root relative squared error
0.55 ± 0.1285
SciMark benchmark
884.0342