Run
161749

Run 161749

Task 1727 (Learning Curve) optdigits 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
0.9928 ± 0.0027
Per class
F measure
0.987 ± 0.0049
Per class
Kappa
0.9856 ± 0.0054
KB relative information score
0.9864 ± 0.0051
Mean absolute error
0.0026 ± 0.001
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9871 ± 0.0048
Per class
Predictive accuracy
0.987 ± 0.0049
Prior entropy
3.3218 ± 0.0001
Recall
0.987 ± 0.0049
Per class
Relative absolute error
0.0144 ± 0.0054
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.051 ± 0.0113
Root relative squared error
0.1699 ± 0.0375
SciMark benchmark
1092.7668
UserCPU time millis
40070
UserCPU time millis testing
40060
UserCPU time millis training
10