Run
503275

Run 503275

Task 1736 (Learning Curve) diabetes Uploaded 28-12-2015 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
0.7967 ± 0.0462
Per class
F measure
0.7188 ± 0.0582
Per class
Kappa
0.3671 ± 0.1323
KB relative information score
221.5846 ± 4.3064
Mean absolute error
0.3224 ± 0.0213
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_79, amd64, Linux, 3.13.0-71-generic]
Precision
0.7241 ± 0.0605
Per class
Predictive accuracy
0.7331 ± 0.0498
Prior entropy
0.9335
Recall
0.7331 ± 0.0498
Per class
Relative absolute error
0.7095 ± 0.0462
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4153 ± 0.0257
Root relative squared error
0.8714 ± 0.0529
SciMark benchmark
1801.0772
UserCPU time millis
50
UserCPU time millis testing
50