Run
292890

Run 292890

Task 88 (Learning Curve) credit-approval Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.REPTree(9)Weka implementation of REPTree
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0

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.

22 Evaluation measures

Area under ROC curve
0.8737 ± 0.0378
Per class
F measure
0.8443 ± 0.0375
Per class
Kappa
0.6864 ± 0.0753
KB relative information score
0.5799 ± 0.0591
Mean absolute error
0.2212 ± 0.0288
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8468 ± 0.0388
Per class
Predictive accuracy
0.8439 ± 0.0374
Prior entropy
0.9912 ± 0.0021
Recall
0.8439 ± 0.0374
Per class
Relative absolute error
0.4479 ± 0.0583
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3492 ± 0.0359
Root relative squared error
0.7027 ± 0.0721
SciMark benchmark
1342.2505