DEVELOPMENT... OpenML
Run
11724

Run 11724

Task 5 (Supervised Classification) arrhythmia 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
0.8271
Per class
F measure
0.6674
Per class
Kappa
0.5168
KB relative information score
227.5336
Mean absolute error
0.0396
Mean prior absolute error
0.0855
Number of instances
452
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6601
Per class
Predictive accuracy
0.6836
Prior entropy
2.5222
Recall
0.6836
Per class
Relative absolute error
0.4632
Root mean prior squared error
0.2055
Root mean squared error
0.1883
Root relative squared error
0.9161
SciMark benchmark
947.2901[558.87235220088451015.2555353338006483.6674820550281911.80521739130441766.8499488170112]