Update README.md

README.md

@@ -55,12 +55,12 @@ To implement this model:
 The training data is available from the [SAR-based-VIs GitHub repository](https://github.com/palubad/SAR-based-VIs).
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6798c936ece6b7910c55d1e5/V49cLxspCqdoN_aURaD_c.png)
-Figure 2. Used areas for training and validation (training and validation data are not differentiated in this figure)
+Figure 2. Used areas for training and testing (training and testing data are not differentiated in this figure)
 
 ### Training Procedure
 
 - Feature Selection: Using permutation feature importance analysis to identify key predictors.
-- Data Splitting: Training and validation sets created with a balanced representation of healthy and disturbed forests.
+- Data Splitting: Training and testing sets created with a balanced representation of healthy and disturbed forests.
 - Hyperparameter Optimization:
   - RFR: Fine-tuned for maximum depth, number of trees, and minimum samples per split.
   - XGB: Optimized learning rate, tree depth, and number of boosting rounds.