DEVELOPMENT... OpenML
Run
25583

Run 25583

Task 90 (Learning Curve) credit-g Uploaded 19-08-2014 by Jason
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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
0.6558 ± 0.0452
Per class
Build CPU time
0.0001
Build memory
5593789344.5156
F measure
0.717 ± 0.0376
Per class
Kappa
0.3188 ± 0.0904
KB relative information score
0.2852 ± 0.0968
Mean absolute error
0.2801 ± 0.0379
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.7144 ± 0.0385
Per class
Predictive accuracy
0.7204 ± 0.038
Prior entropy
0.8813
Recall
0.7204 ± 0.038
Per class
Relative absolute error
0.6666 ± 0.0901
Root mean prior squared error
0.4583
Root mean squared error
0.5282 ± 0.0357
Root relative squared error
1.1526 ± 0.078
SciMark benchmark
1069.5352[681.3439517741238972.9639104781785520.2237793401853934.89304305445162238.2513136309694]