DEVELOPMENT... OpenML
Run
8778

Run 8778

Task 27 (Supervised Classification) colic 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
0.8434
Per class
F measure
0.8195
Per class
Kappa
0.6104
KB relative information score
173.2941
Mean absolute error
0.2543
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8191
Per class
Predictive accuracy
0.8207
Prior entropy
0.9509
Recall
0.8207
Per class
Relative absolute error
0.5455
Root mean prior squared error
0.4827
Root mean squared error
0.3824
Root relative squared error
0.7922
SciMark benchmark
947.0657[560.48863959327881014.4538012229739480.2065271424506912.75766683510371767.4218398162996]