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Comparing the performance of different regression models in predicting the period of the first successful treatment using radiological and genomic records for 829 patients.
| Regression Models | Relative Error (%) |
|---|---|
| AdaBoost | 56.3 ±2.9 |
| Decision Tree | 27.4 ± 4.0 |
| Gradient Boosting | 22.0 ±1.6 |
| Multi-layers Perceptron | 26.4 ±3.8 |
| Random Forest | 23.4 ±2.5 |
| SVM | 50.0 ± 2.2 |
