Run
161732

Run 161732

Task 1715 (Learning Curve) mfeat-karhunen 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
0.9794 ± 0.0086
Per class
F measure
0.9629 ± 0.0154
Per class
Kappa
0.9589 ± 0.0172
KB relative information score
0.9613 ± 0.0162
Mean absolute error
0.0074 ± 0.0031
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9635 ± 0.0144
Per class
Predictive accuracy
0.963 ± 0.0155
Prior entropy
3.3219
Recall
0.963 ± 0.0155
Per class
Relative absolute error
0.0411 ± 0.0172
Root mean prior squared error
0.3
Root mean squared error
0.086 ± 0.0196
Root relative squared error
0.2867 ± 0.0654
SciMark benchmark
1060.8407
UserCPU time millis
5560
UserCPU time millis testing
5560