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Table 8 Accuracy and Kappa results for nominal & numeric attributes for dataset 1

From: Prediction of Student’s performance by modelling small dataset size

Dataset1 Numeric Attributes Nominal Attributes Notes
Classifications Algorithms Accuracy Kappa Accuracy Kappa
MLP - ANN 58.1% 0.0% 58.1% 0.0%  
LDA 56.4% −1.0% 63.2% 35.1%  
NB 57.7% 0.1% 58.1% 0.0% Using kernel
SVM 58.1% 0.0% 69.7% 41.7% where c = 1, c = 0.25 (‘sigma’ was held constant at a value of 0.2410613,
Accuracy was used to select the optimal model using the largest value, for numeric.
The final values used for the model were sigma = 0.2410613 and C = 0.25.), for nominal
KNN 55.6% 11.4% 56.4% 5.1% k = 7,k = 9