Run
161773

Run 161773

Task 2097 (Learning Curve) satimage 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
0.942 ± 0.0087
Per class
F measure
0.9042 ± 0.0141
Per class
Kappa
0.8806 ± 0.018
KB relative information score
0.8857 ± 0.0171
Mean absolute error
0.0323 ± 0.0049
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9056 ± 0.0127
Per class
Predictive accuracy
0.9031 ± 0.0146
Prior entropy
2.4834 ± 0.0009
Recall
0.9031 ± 0.0146
Per class
Relative absolute error
0.1196 ± 0.018
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.1797 ± 0.0134
Root relative squared error
0.489 ± 0.0364
SciMark benchmark
1092.7668
UserCPU time millis
35050
UserCPU time millis testing
35040
UserCPU time millis training
10