DEVELOPMENT... OpenML
Run
11102

Run 11102

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)_I90
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
0.8889
Per class
F measure
0.8453
Per class
Kappa
0.6642
KB relative information score
194.2376
Mean absolute error
0.2345
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
0.8472
Per class
Predictive accuracy
0.8478
Prior entropy
0.9509
Recall
0.8478
Per class
Relative absolute error
0.503
Root mean prior squared error
0.4827
Root mean squared error
0.3413
Root relative squared error
0.7072
SciMark benchmark
916.4847[568.89779800413941013.919993711725483.88543266528814906.13207810932491609.5884215932988]