Run
1880

Run 1880

Task 1701 (Learning Curve) anneal Uploaded 23-04-2014 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
0.9935 ± 0.0092
Per class
F measure
0.9878 ± 0.0065
Per class
Kappa
0.9695 ± 0.0243
KB relative information score
0.9342 ± 0.0276
Mean absolute error
0.0118 ± 0.0027
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9882 ± 0.0058
Per class
Predictive accuracy
0.9878 ± 0.0098
Prior entropy
1.1915 ± 0.026
Recall
0.9878 ± 0.0098
Per class
Relative absolute error
0.0882 ± 0.0206
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.0631 ± 0.0191
Root relative squared error
0.2446 ± 0.0744
SciMark benchmark
836.6626