OpenML
2828

Run 2828

Task 1740 (Learning Curve) soybean Uploaded 28-04-2014 by Jan van Rijn
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Flow

weka.IBk(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 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
0.9156 ± 0.0293
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, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9168 ± 0.0299
Per class
Predictive accuracy
0.9136 ± 0.0308
Prior entropy
3.8358 ± 0.0227
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
848.0988