Run
2075

Run 2075

Task 86 (Learning Curve) colic 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
0.7815 ± 0.0656
Per class
F measure
0.7928 ± 0.0615
Per class
Kappa
0.5552 ± 0.1282
KB relative information score
0.5397 ± 0.1335
Mean absolute error
0.2088 ± 0.0605
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-431.1.2.el6.x86_64 ]
Precision
0.7927 ± 0.0596
Per class
Predictive accuracy
0.7929 ± 0.0609
Prior entropy
0.9503 ± 0.0087
Recall
0.7929 ± 0.0609
Per class
Relative absolute error
0.4479 ± 0.1295
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.4537 ± 0.0709
Root relative squared error
0.9399 ± 0.1461
SciMark benchmark
845.608