DEVELOPMENT... OpenML
Run
23701

Run 23701

Task 29 (Supervised Classification) credit-approval Uploaded 27-06-2014 by Felicia West
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Flow

weka.RBFClassifier(1)Weka implementation of RBFClassifier
weka.RBFClassifier(1)_C2
weka.RBFClassifier(1)_E1
weka.RBFClassifier(1)_L1.0E-6
weka.RBFClassifier(1)_N2
weka.RBFClassifier(1)_P1
weka.RBFClassifier(1)_R0.01
weka.RBFClassifier(1)_S1

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
0.9136
Per class
F measure
0.8641
Per class
Kappa
0.7261
KB relative information score
395.3028
Mean absolute error
0.2276
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
0.8662
Per class
Predictive accuracy
0.8638
Prior entropy
0.9913
Recall
0.8638
Per class
Relative absolute error
0.4607
Root mean prior squared error
0.497
Root mean squared error
0.3261
Root relative squared error
0.6562
SciMark benchmark
945.442[569.64095994657931013.9200573100866474.47716242600075910.85475360997441758.3171307218695]