DEVELOPMENT... OpenML
Run
14349

Run 14349

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)_I80
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
0.8675
Per class
F measure
0.762
Per class
Kappa
0.5168
KB relative information score
139.8519
Mean absolute error
0.2411
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
0.7623
Per class
Predictive accuracy
0.763
Prior entropy
0.9912
Recall
0.763
Per class
Relative absolute error
0.4882
Root mean prior squared error
0.4969
Root mean squared error
0.4003
Root relative squared error
0.8056
SciMark benchmark
947.1482[571.88218598998941013.6533323510344482.7975877024999910.22218605324211757.185869335973]

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