Run
692

Run 692

Task 80 (Learning Curve) car Uploaded 07-04-2014 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
0.9963 ± 0.0017
Per class
F measure
0.9224 ± 0.0162
Per class
Kappa
0.8436 ± 0.0363
KB relative information score
0.6319 ± 0.0164
Mean absolute error
0.1125 ± 0.0039
Mean prior absolute error
0.229 ± 0.0006
Number of instances
17280
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.9337 ± 0.0155
Per class
Predictive accuracy
0.9314 ± 0.0151
Prior entropy
1.2058 ± 0.0089
Recall
0.9314 ± 0.0151
Per class
Relative absolute error
0.4913 ± 0.0168
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1962 ± 0.0052
Root relative squared error
0.5802 ± 0.0155
SciMark benchmark
886.3327