Run
161719

Run 161719

Task 1702 (Learning Curve) kr-vs-kp 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
0.907 ± 0.0167
Per class
F measure
0.9068 ± 0.0168
Per class
Kappa
0.8133 ± 0.0336
KB relative information score
0.813 ± 0.0337
Mean absolute error
0.0932 ± 0.0168
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.907 ± 0.0166
Per class
Predictive accuracy
0.9068 ± 0.0168
Prior entropy
0.9986 ± 0.0002
Recall
0.9068 ± 0.0168
Per class
Relative absolute error
0.1869 ± 0.0337
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.3054 ± 0.0278
Root relative squared error
0.6113 ± 0.0557
SciMark benchmark
1092.7668
UserCPU time millis
5700
UserCPU time millis testing
5700