DEVELOPMENT... OpenML
Run
47765

Run 47765

Task 93 (Learning Curve) postoperative-patient-data Uploaded 05-11-2014 by Jason
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  • curves weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I10
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.406 ± 0.1967
Per class
Build CPU time
0.0025
Build memory
2042398196.4
Kappa
-0.0183 ± 0.0855
KB relative information score
-0.0612 ± 0.1028
Mean absolute error
0.294 ± 0.0246
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.6978 ± 0.0672
Prior entropy
0.983 ± 0.181
Recall
0.6978 ± 0.0672
Per class
Relative absolute error
1.0244 ± 0.0686
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.3944 ± 0.0337
Root relative squared error
1.0503 ± 0.0546
SciMark benchmark
1794.5417