Run
504196

Run 504196

Task 10059 (Learning Curve) ipums_la_99-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
0.7033 ± 0.0241
Per class
F measure
0.9112 ± 0.0054
Per class
Kappa
0.1135 ± 0.0593
KB relative information score
-4808.7606 ± 53.411
Mean absolute error
0.0983 ± 0.0031
Mean prior absolute error
0.1203 ± 0.0004
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.903 ± 0.0097
Per class
Predictive accuracy
0.9317 ± 0.0032
Prior entropy
0.3444
Recall
0.9317 ± 0.0032
Per class
Relative absolute error
0.8174 ± 0.0243
Root mean prior squared error
0.2452 ± 0.0008
Root mean squared error
0.2453 ± 0.005
Root relative squared error
1.0005 ± 0.0193
SciMark benchmark
940.4723
UserCPU time millis
44160
UserCPU time millis testing
44160