Run
504194

Run 504194

Task 10058 (Learning Curve) ipums_la_98-small Uploaded 30-12-2015 by Joaquin Vanschoren
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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)_K5
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
0.7316 ± 0.0332
Per class
F measure
0.8575 ± 0.0077
Per class
Kappa
0.1348 ± 0.0451
KB relative information score
-2007.3536 ± 24.616
Mean absolute error
0.1555 ± 0.0039
Mean prior absolute error
0.1891 ± 0.0003
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8455 ± 0.0118
Per class
Predictive accuracy
0.8835 ± 0.007
Prior entropy
0.4871
Recall
0.8835 ± 0.007
Per class
Relative absolute error
0.8225 ± 0.0194
Root mean prior squared error
0.3074 ± 0.0005
Root mean squared error
0.305 ± 0.0082
Root relative squared error
0.9922 ± 0.0258
SciMark benchmark
914.23
UserCPU time millis
33720
UserCPU time millis testing
33720