Run
297598

Run 297598

Task 62 (Learning Curve) anneal Uploaded 17-03-2015 by Joaquin Vanschoren
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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
0.9129 ± 0.0353
Per class
F measure
0.9504 ± 0.0211
Per class
Kappa
0.8752 ± 0.053
KB relative information score
0.8639 ± 0.0563
Mean absolute error
0.0158 ± 0.0064
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9537 ± 0.0171
Per class
Predictive accuracy
0.9527 ± 0.0191
Prior entropy
1.1915 ± 0.0248
Recall
0.9527 ± 0.0191
Per class
Relative absolute error
0.1175 ± 0.0473
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.1256 ± 0.0268
Root relative squared error
0.4864 ± 0.1036
SciMark benchmark
1327.0519
UserCPU time millis
320
UserCPU time millis testing
320