DEVELOPMENT... OpenML
Run
10016

Run 10016

Task 27 (Supervised Classification) colic Uploaded 22-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I70
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.8893
Per class
F measure
0.8456
Per class
Kappa
0.6653
KB relative information score
194.0179
Mean absolute error
0.2347
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
0.8469
Per class
Predictive accuracy
0.8478
Prior entropy
0.9509
Recall
0.8478
Per class
Relative absolute error
0.5036
Root mean prior squared error
0.4827
Root mean squared error
0.3412
Root relative squared error
0.7069
SciMark benchmark
946.0795[562.83983636088461016.0585376856843483.88543266528814912.12245438067161755.4913676401159]