DEVELOPMENT... OpenML
Run
8138

Run 8138

Task 52 (Supervised Classification) heart-statlog Uploaded 22-05-2014 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)_I20
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
0.8732
Per class
F measure
0.8147
Per class
Kappa
0.6244
KB relative information score
140.5337
Mean absolute error
0.246
Mean prior absolute error
0.4939
Number of instances
270
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8146
Per class
Predictive accuracy
0.8148
Prior entropy
0.9912
Recall
0.8148
Per class
Relative absolute error
0.4982
Root mean prior squared error
0.4969
Root mean squared error
0.3817
Root relative squared error
0.7681
SciMark benchmark
939.0123[564.29653665317711006.2428440653358480.6364546036713902.38899339674911741.496644184919]