Table 1 Training and splitting parameters
From: Classification of lung cancer severity using gene expression data based on deep learning
Parameter | Value | Meaning |
|---|---|---|
Test size | 0.2 and 0.3 | Refers to the total number of test samples. |
Shuffle | True | Shuffling the samples before splitting. |
Stratify | None | It helps in retaining the same proportion of classes in the training and testing dataset. |
Random state | 2 | It controls how the data is shuffled before splitting. It helps for getting the same output over multiple runs. |