DEVELOPMENT... OpenML
Run
14686

Run 14686

Task 48 (Supervised Classification) heart-c Uploaded 23-05-2014 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)_I160
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
0.8431
Per class
F measure
0.7609
Per class
Kappa
0.5169
KB relative information score
146.3426
Mean absolute error
0.0974
Mean prior absolute error
0.2004
Number of instances
303
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7627
Per class
Predictive accuracy
0.7624
Prior entropy
1.0792
Recall
0.7624
Per class
Relative absolute error
0.486
Root mean prior squared error
0.315
Root mean squared error
0.2816
Root relative squared error
0.894
SciMark benchmark
946.9543[561.39059440769631015.7906865781697483.6674820550281907.07263143401181766.8499488170112]