Run
161721

Run 161721

Task 1710 (Learning Curve) balance-scale 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
0.8359 ± 0.0257
Per class
F measure
0.7903 ± 0.0274
Per class
Kappa
0.6375 ± 0.0608
KB relative information score
0.5831 ± 0.0579
Mean absolute error
0.1365 ± 0.0255
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.7858 ± 0.0277
Per class
Predictive accuracy
0.7952 ± 0.0382
Prior entropy
1.3181 ± 0.0124
Recall
0.7952 ± 0.0382
Per class
Relative absolute error
0.3595 ± 0.0671
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3695 ± 0.0347
Root relative squared error
0.8483 ± 0.0798
SciMark benchmark
1060.8407
UserCPU time millis
40
UserCPU time millis testing
40