Run
2179

Run 2179

Task 1702 (Learning Curve) kr-vs-kp Uploaded 24-04-2014 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
0.9896 ± 0.0066
Per class
F measure
0.9643 ± 0.0126
Per class
Kappa
0.9284 ± 0.0253
KB relative information score
0.8345 ± 0.0173
Mean absolute error
0.0924 ± 0.0084
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-431.1.2.el6.x86_64 ]
Precision
0.9655 ± 0.0115
Per class
Predictive accuracy
0.9643 ± 0.0126
Prior entropy
0.9986 ± 0.0002
Recall
0.9643 ± 0.0126
Per class
Relative absolute error
0.1852 ± 0.0167
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1937 ± 0.0221
Root relative squared error
0.3878 ± 0.0443
SciMark benchmark
844.7394