Run
990

Run 990

Task 93 (Learning Curve) postoperative-patient-data 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
0.3932 ± 0.1899
Per class
F measure
0.5521 ± 0.0938
Per class
Kappa
-0.1309 ± 0.144
KB relative information score
-0.1197 ± 0.2441
Mean absolute error
0.3023 ± 0.0671
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.4923 ± 0.0976
Per class
Predictive accuracy
0.6311 ± 0.101
Prior entropy
0.983 ± 0.181
Recall
0.6311 ± 0.101
Per class
Relative absolute error
1.0532 ± 0.2288
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.4823 ± 0.0671
Root relative squared error
1.2843 ± 0.183
SciMark benchmark
893.1408