Run
905

Run 905

Task 98 (Learning Curve) sonar 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
0.8565 ± 0.0709
Per class
F measure
0.7791 ± 0.0791
Per class
Kappa
0.5557 ± 0.1566
KB relative information score
0.4625 ± 0.1147
Mean absolute error
0.2772 ± 0.0546
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7791 ± 0.0797
Per class
Predictive accuracy
0.7793 ± 0.0774
Prior entropy
0.9967 ± 0.0043
Recall
0.7793 ± 0.0774
Per class
Relative absolute error
0.5569 ± 0.1097
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.3976 ± 0.0596
Root relative squared error
0.7969 ± 0.1196
SciMark benchmark
879.7512