Run
478107

Run 478107

Task 10042 (Learning Curve) ada_prior Uploaded 30-11-2015 by Jan van Rijn
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Flow

weka.IBk(7)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_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
0.6864 ± 0.019
Per class
F measure
0.7664 ± 0.0158
Per class
Kappa
0.3734 ± 0.0384
KB relative information score
1369.7495 ± 24.7366
Mean absolute error
0.2336 ± 0.0181
Mean prior absolute error
0.3732 ± 0.0004
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.7662 ± 0.0147
Per class
Predictive accuracy
0.7665 ± 0.0181
Prior entropy
0.8085
Recall
0.7665 ± 0.0181
Per class
Relative absolute error
0.6259 ± 0.0485
Root mean prior squared error
0.4319 ± 0.0005
Root mean squared error
0.483 ± 0.0187
Root relative squared error
1.1183 ± 0.0432
SciMark benchmark
1801.8585
UserCPU time millis
1040
UserCPU time millis testing
1040