Run
1812468

Run 1812468

Task 1710 (Learning Curve) balance-scale 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
0.9799 ± 0.0095
Per class
F measure
0.865
Per class
Kappa
0.8133 ± 0.0463
KB relative information score
393.001 ± 2.6974
Mean absolute error
0.1493 ± 0.0174
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.22.2.el7.x86_64]
Precision
0.9078
Per class
Predictive accuracy
0.8992 ± 0.025
Prior entropy
1.3212
Recall
0.8992 ± 0.025
Per class
Relative absolute error
0.3931 ± 0.0457
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.2417 ± 0.0152
Root relative squared error
0.5548 ± 0.035
SciMark benchmark
1522.5658
UserCPU time millis
90
UserCPU time millis testing
90