DEVELOPMENT... OpenML
Run
9641

Run 9641

Task 29 (Supervised Classification) credit-approval 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)_K13
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
0.907
Per class
F measure
0.8566
Per class
Kappa
0.7098
KB relative information score
404.0654
Mean absolute error
0.2187
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8567
Per class
Predictive accuracy
0.8565
Prior entropy
0.9913
Recall
0.8565
Per class
Relative absolute error
0.4427
Root mean prior squared error
0.497
Root mean squared error
0.3336
Root relative squared error
0.6714
SciMark benchmark
910.3207[558.87235220088451015.5230404536866483.88543266528814913.07556704216551580.246981606401]