Table 9.
Sentiment Kappa comparison on polynomial dataset
| Algorithm | Train–test split percentage | 10-FCV | ||||||
|---|---|---|---|---|---|---|---|---|
| 10% | 20% | 30% | 40% | 50% | 60% | 70% | ||
| KNN | 0.108 | 0.173 | 0.221 | 0.253 | 0.275 | 0.284 | 0.306 | 0.341 |
| DT | 0.042 | 0.064 | 0.063 | 0.058 | 0.077 | 0.070 | 0.083 | 0.077 |
| SVM | 0.225 | 0.310 | 0.363 | 0.398 | 0.433 | 0.441 | 0.463 | 0.504 |
| NB | 0.247 | 0.298 | 0.315 | 0.335 | 0.369 | 0.362 | 0.377 | 0.399 |
| Voting | 0.150 | 0.218 | 0.261 | 0.300 | 0.330 | 0.328 | 0.351 | 0.384 |
| Bagging (KNN) | 0.090 | 0.160 | 0.196 | 0.237 | 0.265 | 0.272 | 0.292 | 0.343 |
| Bagging (DT) | 0.051 | 0.066 | 0.053 | 0.073 | 0.077 | 0.070 | 0.087 | 0.079 |
| Bagging (SVM) | 0.225 | 0.310 | 0.363 | 0.396 | 0.434 | 0.440 | 0.463 | 0.503 |
| Bagging (NB) | 0.247 | 0.296 | 0.316 | 0.336 | 0.370 | 0.362 | 0.379 | 0.398 |