Run
1812535

Run 1812535

Task 125879 (Learning Curve) autoUniv-au4-2500 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
0.5473 ± 0.0328
Per class
F measure
0.4864 ± 0.0375
Per class
Kappa
0.0888 ± 0.0583
KB relative information score
154.5359 ± 4.4289
Mean absolute error
0.3695 ± 0.0056
Mean prior absolute error
0.3794 ± 0.0005
Number of instances
2500
Per class
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.22.2.el7.x86_64]
Precision
0.4693 ± 0.0355
Per class
Predictive accuracy
0.5076 ± 0.0321
Prior entropy
1.3187
Recall
0.5076 ± 0.0321
Per class
Relative absolute error
0.9738 ± 0.0148
Root mean prior squared error
0.4355 ± 0.0006
Root mean squared error
0.4467 ± 0.0066
Root relative squared error
1.0257 ± 0.0152
SciMark benchmark
1328.9594
UserCPU time millis
9700
UserCPU time millis testing
9700