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 |