DEVELOPMENT... OpenML
Run
6087

Run 6087

Task 280 (Supervised Classification) heart-h Uploaded 14-05-2014 by Felicia West
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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
0.9217
Per class
F measure
0.8372
Per class
Kappa
0.6401
KB relative information score
54.9557
Mean absolute error
0.0737
Mean prior absolute error
0.1867
Number of instances
97
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8561
Per class
Predictive accuracy
0.8454
Prior entropy
1.0314
Recall
0.8454
Per class
Relative absolute error
0.3945
Root mean prior squared error
0.3038
Root mean squared error
0.2185
Root relative squared error
0.7193
SciMark benchmark
940.5766[563.0215016394978993.7880338188492478.28140966761225911.17140496421141756.6205822745662]