Run
1811377

Run 1811377

Task 1740 (Learning Curve) soybean Uploaded 16-08-2016 by Jan van Rijn
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Flow

weka.IBk(7)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue

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
0.9724 ± 0.0193
Per class
F measure
0.9122 ± 0.0264
Per class
Kappa
0.9052 ± 0.0337
KB relative information score
621.8501 ± 2.1236
Mean absolute error
0.0124 ± 0.0032
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.22.2.el7.x86_64]
Precision
0.9168 ± 0.0299
Per class
Predictive accuracy
0.9136 ± 0.0308
Prior entropy
3.8572
Recall
0.9136 ± 0.0308
Per class
Relative absolute error
0.1287 ± 0.0329
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0888 ± 0.0174
Root relative squared error
0.4051 ± 0.0792
SciMark benchmark
1348.7695
UserCPU time millis
140
UserCPU time millis testing
130
UserCPU time millis training
10