Run
161753

Run 161753

Task 1740 (Learning Curve) soybean 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
0.9489 ± 0.0227
Per class
F measure
0.9076 ± 0.0489
Per class
Kappa
0.9004 ± 0.0444
KB relative information score
0.9107 ± 0.0399
Mean absolute error
0.0096 ± 0.0043
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9128 ± 0.0486
Per class
Predictive accuracy
0.9092 ± 0.0404
Prior entropy
3.8358 ± 0.0227
Recall
0.9092 ± 0.0404
Per class
Relative absolute error
0.0994 ± 0.0443
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0978 ± 0.0231
Root relative squared error
0.4461 ± 0.1052
SciMark benchmark
1092.7668
UserCPU time millis
240
UserCPU time millis testing
240