Table 7 Accuracy and Kappa results for nominal & numeric attributes for dataset 2
From: Prediction of Student’s performance by modelling small dataset size
Dataset2 | Numeric Attributes | Nominal Attributes | Notes | ||
|---|---|---|---|---|---|
Classifications Algorithms | Accuracy | Kappa | Accuracy | Kappa | |
MLP - ANN | 60.5% | 0.0% | 60.5% | 0.0% | With three hidden layers, i.e. 3,2,1, however, other values were used aswell, but the accuracy results maintained the same |
LDA | 71.1% | 44.7% | 57.9% | 19.3% | |
NB | 65.8% | 32.1% | 71.1% | 37.4% | using Kernel |
SVM | 68.4% | 33.4% | 76.3% | 49.3% | were sigma = 0.1590384 and C = 1, for nominal The final values used for the model were sigma = 0.0564085 and C = 1 |
KNN | 65.8% | 28.8% | 65.8% | 31.9% | At K = 7, for nominal at k = 5 |