DEVELOPMENT... OpenML
Run
200814

Run 200814

Task 29 (Supervised Classification) credit-approval Uploaded 27-02-2015 by Felicia West
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Flow

weka.IBk(4)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(4)_K3
weka.IBk(4)_W0
weka.IBk(4)_Atrue

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
0.8913
Per class
F measure
0.8493
Per class
Kappa
0.6948
KB relative information score
423.6685
Mean absolute error
0.1955
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8493
Per class
Predictive accuracy
0.8493
Prior entropy
0.9913
Recall
0.8493
Per class
Relative absolute error
0.3958
Root mean prior squared error
0.497
Root mean squared error
0.3543
Root relative squared error
0.713
SciMark benchmark
1404.1865
UserCPU time millis
50
UserCPU time millis testing
50