Run
161752

Run 161752

Task 1736 (Learning Curve) diabetes Uploaded 16-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.6723 ± 0.0492
Per class
F measure
0.707 ± 0.0522
Per class
Kappa
0.3503 ± 0.1084
KB relative information score
0.3349 ± 0.1265
Mean absolute error
0.2904 ± 0.0555
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.7053 ± 0.0525
Per class
Predictive accuracy
0.7096 ± 0.0555
Prior entropy
0.9331 ± 0.0046
Recall
0.7096 ± 0.0555
Per class
Relative absolute error
0.6389 ± 0.1217
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.5389 ± 0.053
Root relative squared error
1.1305 ± 0.1103
SciMark benchmark
1092.7668
UserCPU time millis
110
UserCPU time millis testing
110