DEVELOPMENT... OpenML
Run
12198

Run 12198

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)_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
0.8431
Per class
F measure
0.8336
Per class
Kappa
0.6415
KB relative information score
199.0747
Mean absolute error
0.2188
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
0.8332
Per class
Predictive accuracy
0.8342
Prior entropy
0.9509
Recall
0.8342
Per class
Relative absolute error
0.4694
Root mean prior squared error
0.4827
Root mean squared error
0.3802
Root relative squared error
0.7877
SciMark benchmark
948.0844[562.11430287262971015.5230404536866489.62233730547183913.71210817040291759.4501199261804]