Run
739

Run 739

Task 96 (Learning Curve) diabetes 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.

19 Evaluation measures

Area under ROC curve
0.8053 ± 0.0481
Per class
F measure
0.7444 ± 0.0467
Per class
Kappa
0.4285 ± 0.1053
KB relative information score
0.3123 ± 0.0656
Mean absolute error
0.3151 ± 0.0258
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7441 ± 0.0482
Per class
Predictive accuracy
0.7507 ± 0.044
Prior entropy
0.9331 ± 0.0044
Recall
0.7507 ± 0.044
Per class
Relative absolute error
0.6933 ± 0.0569
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4141 ± 0.0297
Root relative squared error
0.8688 ± 0.0626
SciMark benchmark
879.9692