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Local explanation fidelity on Diabetes n = 9

0.001RMSEmLIME
-0.026440.158780.3440.52922Dec 5, 2025

Evaluation results

MethodLinks
mLIMEClassifier=Neural network, Kernel width (sigma)=0.12025.120.001
mLIMEClassifier=Naive Bayes, Kernel width (sigma)=0.12025.120.002
mLIMEClassifier=Neural network, Kernel width (sigma)=0.32025.120.006
mLIMEClassifier=Random forest, Kernel width (sigma)=0.12025.120.009
mLIMEClassifier=Naive Bayes, Kernel width (sigma)=0.32025.120.014
LEMONClassifier=Neural network, Kernel width (sigma)=0.12025.120.015
LEMONClassifier=Naive Bayes, Kernel width (sigma)=0.12025.120.016
mLIMEClassifier=Neural network, Kernel width (sigma)=0.52025.120.017
LIMEClassifier=Naive Bayes, Kernel width (sigma)=0.12025.120.018
LIMEClassifier=Neural network, Kernel width (sigma)=0.12025.120.018
mLIMEClassifier=Random forest, Kernel width (sigma)=0.32025.120.023
LEMONClassifier=Neural network, Kernel width (sigma)=0.32025.120.026
LEMONClassifier=Naive Bayes, Kernel width (sigma)=0.32025.120.031
LEMONClassifier=Neural network, Kernel width (sigma)=0.52025.120.031
mLIMEClassifier=Naive Bayes, Kernel width (sigma)=0.52025.120.034
LEMONClassifier=Random forest, Kernel width (sigma)=0.12025.120.036
mLIMEClassifier=Random forest, Kernel width (sigma)=0.52025.120.036
LEMONClassifier=Naive Bayes, Kernel width (sigma)=0.52025.120.046
LIMEClassifier=Neural network, Kernel width (sigma)=0.32025.120.05
LEMONClassifier=Random forest, Kernel width (sigma)=0.32025.120.053
mLIMEClassifier=Random forest, Kernel width (sigma)=1.02025.120.054
mLIMEClassifier=Neural network, Kernel width (sigma)=1.02025.120.055
LIMEClassifier=Naive Bayes, Kernel width (sigma)=0.32025.120.057
mLIMEClassifier=Random forest, Kernel width (sigma)=4.02025.120.06
LEMONClassifier=Neural network, Kernel width (sigma)=1.02025.120.061
mLIMEClassifier=Random forest, Kernel width (sigma)=3/4 * sqrt(n)2025.120.062
LEMONClassifier=Random forest, Kernel width (sigma)=0.52025.120.064
LIMEClassifier=Neural network, Kernel width (sigma)=0.52025.120.068
LIMEClassifier=Neural network, Kernel width (sigma)=1.02025.120.068
LIMEClassifier=Random forest, Kernel width (sigma)=0.12025.120.072
LIMEClassifier=Naive Bayes, Kernel width (sigma)=0.52025.120.08
LEMONClassifier=Random forest, Kernel width (sigma)=1.02025.120.088
LEMONClassifier=Random forest, Kernel width (sigma)=4.02025.120.096
mLIMEClassifier=Naive Bayes, Kernel width (sigma)=1.02025.120.098
LEMONClassifier=Random forest, Kernel width (sigma)=3/4 * sqrt(n)2025.120.1
LIMEClassifier=Random forest, Kernel width (sigma)=1.02025.120.105
LEMONClassifier=Naive Bayes, Kernel width (sigma)=1.02025.120.11
LIMEClassifier=Random forest, Kernel width (sigma)=0.52025.120.112
LIMEClassifier=Naive Bayes, Kernel width (sigma)=1.02025.120.12
mLIMEClassifier=Neural network, Kernel width (sigma)=3/4 * sqrt(n)2025.120.139
LIMEClassifier=Random forest, Kernel width (sigma)=0.32025.120.141
LEMONClassifier=Neural network, Kernel width (sigma)=3/4 * sqrt(n)2025.120.145
mLIMEClassifier=Neural network, Kernel width (sigma)=4.02025.120.185
LEMONClassifier=Neural network, Kernel width (sigma)=4.02025.120.192
mLIMEClassifier=Naive Bayes, Kernel width (sigma)=3/4 * sqrt(n)2025.120.212
LIMEClassifier=Neural network, Kernel width (sigma)=3/4 * sqrt(n)2025.120.242
LIMEClassifier=Random forest, Kernel width (sigma)=3/4 * sqrt(n)2025.120.247
LEMONClassifier=Naive Bayes, Kernel width (sigma)=3/4 * sqrt(n)2025.120.257
mLIMEClassifier=Naive Bayes, Kernel width (sigma)=4.02025.120.261
LEMONClassifier=Naive Bayes, Kernel width (sigma)=4.02025.120.348
LIMEClassifier=Naive Bayes, Kernel width (sigma)=3/4 * sqrt(n)2025.120.387
LIMEClassifier=Random forest, Kernel width (sigma)=4.02025.120.419
LIMEClassifier=Neural network, Kernel width (sigma)=4.02025.120.465
LIMEClassifier=Naive Bayes, Kernel width (sigma)=4.02025.120.687