Table 5.
Performance comparison of recent prediction models on various Lung Cancer datasets
| Work Ref. | Classifier | Performance Metrics | |||||
|---|---|---|---|---|---|---|---|
| ACC | P | R | F1 | Error | AUC | ||
| UCI -TSD Dataset | |||||||
| Danjuma [47] | MLP | 0.82 | 0.82 | 0.82 | 0.82 | – | 0.84 |
| MLCD Dataset | |||||||
| Murty et al. [151] | RBF-NN | – | – | – | – | 0.19 | – |
| UCI-Irvine Dataset | |||||||
| Patra [161] | RBF-NN | 0.81 | 0.81 | 0.81 | 0.81 | – | 0.75 |
| Dey et al. [49] | LAGOA+RF | 0.86 | – | – | – | – | – |
| LCD Dataset | |||||||
| Radhika et al. [169] | SVM | 0.99 | – | – | – | – | – |
| Salaken et al. [183] | Deep-ANN | 0.80 | – | – | – | – | – |
| Maleki et al. [132] | Deep-ANN | 1.00 | – | – | – | – | – |
| SEER Dataset | |||||||
| Ali and Reza [180] | RIPPER with AdaBoost | 0.89 | – | – | – | – | 0.95 |
| Doppalapudi et al. [53] | ANN | 0.71 | 0.71 | 0.71 | 0.71 | – | 0.87 |
| SLCD Dataset | |||||||
| Nasser and Abu-Naser [153] | ANN | 0.97 | – | – | – | – | – |