Run
25063

Run 25063

Task 97 (Learning Curve) ecoli Uploaded 16-08-2014 by Jan van Rijn
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Flow

weka.IBk(2)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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.

21 Evaluation measures

Area under ROC curve
0.8822 ± 0.037
Per class
Build CPU time
0.0002
Build memory
4007937623.3333
F measure
0.8094 ± 0.0532
Per class
Kappa
0.7413 ± 0.076
KB relative information score
0.7201 ± 0.0807
Mean absolute error
0.0514 ± 0.0137
Mean prior absolute error
0.1828 ± 0.0012
Number of instances
3360
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8078 ± 0.0519
Per class
Predictive accuracy
0.8122 ± 0.0561
Prior entropy
2.1906 ± 0.0868
Recall
0.8122 ± 0.0561
Per class
Relative absolute error
0.2811 ± 0.0741
Root mean prior squared error
0.3016 ± 0.0021
Root mean squared error
0.214 ± 0.0325
Root relative squared error
0.7096 ± 0.1064
SciMark benchmark
1135.4652[677.9015433470151962.9960408781753519.4686723397092980.34404476134922536.615718986905]