DEVELOPMENT... OpenML
Run
12106

Run 12106

Task 48 (Supervised Classification) heart-c 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)_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
0.8933
Per class
F measure
0.8307
Per class
Kappa
0.658
KB relative information score
169.3319
Mean absolute error
0.0838
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
0.8329
Per class
Predictive accuracy
0.8317
Prior entropy
1.0792
Recall
0.8317
Per class
Relative absolute error
0.418
Root mean prior squared error
0.315
Root mean squared error
0.2282
Root relative squared error
0.7244
SciMark benchmark
882.7661[566.6798574038928867.2165206566782484.10363182779514914.66854765231311581.1619395961168]