Run
1812482

Run 1812482

Task 1752 (Learning Curve) vehicle Uploaded 17-08-2016 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)_K10
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
0.8978 ± 0.0132
Per class
F measure
0.6813 ± 0.0372
Per class
Kappa
0.5869 ± 0.0479
KB relative information score
484.5545 ± 1.9196
Mean absolute error
0.1962 ± 0.0099
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.22.2.el7.x86_64]
Precision
0.6768 ± 0.0376
Per class
Predictive accuracy
0.6903 ± 0.0359
Prior entropy
1.9991
Recall
0.6903 ± 0.0359
Per class
Relative absolute error
0.5234 ± 0.0265
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.3107 ± 0.0097
Root relative squared error
0.7177 ± 0.0224
SciMark benchmark
1477.3239
UserCPU time millis
220
UserCPU time millis testing
220