Run
1268

Run 1268

Task 72 (Learning Curve) breast-cancer Uploaded 16-04-2014 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
0.6465 ± 0.1144
Per class
F measure
0.7063 ± 0.0763
Per class
Kappa
0.2682 ± 0.1919
KB relative information score
0.1985 ± 0.1747
Mean absolute error
0.3162 ± 0.0678
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.707 ± 0.0915
Per class
Predictive accuracy
0.7294 ± 0.0668
Prior entropy
0.8779 ± 0.0199
Recall
0.7294 ± 0.0668
Per class
Relative absolute error
0.7558 ± 0.1608
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.4947 ± 0.0661
Root relative squared error
1.0825 ± 0.1438
SciMark benchmark
1166.5851