#CurrencyPairPrediction Important Parameters to Tune When using Random Forests for better performance: • n_estimators: Number of trees (more trees = better, but slower) • max_depth: Maximum depth of each tree (prevents overfitting) • min_samples_split: Minimum samples required to split a node • max_features: Number of features considered at each split • bootstrap: Whether to use bootstrapping when building trees Hyperparameter tuning (via Grid Search or Random Search) can make a huge difference in results.