Update README.md

README.md

@@ -37,7 +37,7 @@ This model was trained on 32,000 stratified expert game states to learn optimal
 
 - **Training samples:** 32,000 (stratified sampling, minimum 1,000 per action type)
 - **Validation samples:** 1,000 (perfectly balanced, 200 per action type)
-- **Source:** Expert agent gameplay using Monte Carlo Tree Search (MCTS)
+- **Source:** Human gameplay
 
 **Action distribution (training set):**
 - `discard` (discard a card): 44.6%