DEVELOPMENT... OpenML
Run
10770

Run 10770

Task 55 (Supervised Classification) vote Uploaded 22-05-2014 by Felicia West
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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)_K10
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
0.9842
Per class
F measure
0.9202
Per class
Kappa
0.8338
KB relative information score
351.0693
Mean absolute error
0.0925
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9244
Per class
Predictive accuracy
0.9195
Prior entropy
0.9627
Recall
0.9195
Per class
Relative absolute error
0.195
Root mean prior squared error
0.4869
Root mean squared error
0.233
Root relative squared error
0.4786
SciMark benchmark
949.7321[567.60190887821451015.7907504114269484.7593072718849910.22218605324211770.2863098224536]