Run
952

Run 952

Task 71 (Learning Curve) mfeat-factors Uploaded 08-04-2014 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
0.9783 ± 0.0067
Per class
F measure
0.9611 ± 0.0123
Per class
Kappa
0.9568 ± 0.0136
KB relative information score
0.9573 ± 0.0127
Mean absolute error
0.0087 ± 0.0024
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9612 ± 0.0118
Per class
Predictive accuracy
0.9612 ± 0.0122
Prior entropy
3.3219
Recall
0.9612 ± 0.0122
Per class
Relative absolute error
0.0484 ± 0.0135
Root mean prior squared error
0.3
Root mean squared error
0.0879 ± 0.0146
Root relative squared error
0.2931 ± 0.0487
SciMark benchmark
893.6919