Run
161718

Run 161718

Task 1701 (Learning Curve) anneal 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
0.917 ± 0.0449
Per class
F measure
0.9534 ± 0.0265
Per class
Kappa
0.8826 ± 0.0647
KB relative information score
0.8702 ± 0.0721
Mean absolute error
0.0148 ± 0.0078
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9564 ± 0.0218
Per class
Predictive accuracy
0.9555 ± 0.0235
Prior entropy
1.1915 ± 0.026
Recall
0.9555 ± 0.0235
Per class
Relative absolute error
0.1106 ± 0.0577
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1219 ± 0.0337
Root relative squared error
0.4719 ± 0.1284
SciMark benchmark
1092.7668
UserCPU time millis
360
UserCPU time millis testing
360