diff --git a/.gitignore b/.gitignore
index 7dee432..00048f7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,7 @@
 HW3/results
 HW4/results
 HW5/results
+HW5/plots
+HW5/plots/*
+HW5/dataset.csv
+HW5/trained_model.joblib
diff --git a/HW3/requirements.txt b/HW3/requirements.txt
new file mode 100644
index 0000000..ff211f0
--- /dev/null
+++ b/HW3/requirements.txt
@@ -0,0 +1,2 @@
+numpy>=1.24.0
+matplotlib>=3.5.0
diff --git a/HW4/requirements.txt b/HW4/requirements.txt
new file mode 100644
index 0000000..9889646
--- /dev/null
+++ b/HW4/requirements.txt
@@ -0,0 +1,3 @@
+numpy>=1.24.0
+matplotlib>=3.5.0
+pandas>=2.0.0
diff --git a/HW5/core.py b/HW5/core.py
index 6c03f8f..558cd6b 100644
--- a/HW5/core.py
+++ b/HW5/core.py
@@ -78,7 +78,7 @@ class Pokemon:
                     break
         return effect
 
-    def _useMove(self, move, opponent):
+    def _useMove(self, move, opponent, game_status = None):
         if random.random() < move['accuracy']:
             if move['category'] == 'physical':
                 attack = self.ActStats['attack']
@@ -97,17 +97,19 @@ class Pokemon:
             opponent.curr_hp -= damage
             if opponent.curr_hp < 0:
                 opponent.curr_hp = 0
-            #print(f"{self.name} used {move['name']} and dealt {damage} damage to {opponent.name}!")
+            if not game_status == 'new_random_battle':
+                print(f"{self.name} used {move['name']} and dealt {damage} damage to {opponent.name}!")
         else:
             damage = 0
-            #print(f"{self.name}'s attack missed!")
+            if not game_status == 'new_random_battle':
+                print(f"{self.name}'s attack missed!")
         return damage
             
-    def useMove(self, move_name, opponent):
+    def useMove(self, move_name, opponent, game_status = None):
         if move_name not in self.moves_dict:
             raise ValueError(f"{self.name} does not know the move {move_name}.")
         else:
-            return self._useMove(self.moves_dict[move_name], opponent)
+            return self._useMove(self.moves_dict[move_name], opponent, game_status)
 
     def print_move(self,move):
         print(f"Move: {self.moves_dict[move]['name']}")
diff --git a/HW5/dataset.csv b/HW5/dataset.csv
deleted file mode 100644
index b13a285..0000000
--- a/HW5/dataset.csv
+++ /dev/null
@@ -1,441 +0,0 @@
-player_hp,player_attack,player_defense,player_speed,player_special,player_type_normal,player_type_fire,player_type_water,player_type_electric,player_type_grass,player_type_ice,player_type_fighting,player_type_poison,player_type_ground,player_type_flying,player_type_psychic,player_type_bug,player_type_rock,player_type_ghost,player_type_dragon,opponent_hp,opponent_attack,opponent_defense,opponent_speed,opponent_special,opponent_type_normal,opponent_type_fire,opponent_type_water,opponent_type_electric,opponent_type_grass,opponent_type_ice,opponent_type_fighting,opponent_type_poison,opponent_type_ground,opponent_type_flying,opponent_type_psychic,opponent_type_bug,opponent_type_rock,opponent_type_ghost,opponent_type_dragon,battle_result
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-36,27,31,14,16,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,42,25,23,28,24,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1
-36,27,31,14,16,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,52,25,23,53,59,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1
-36,27,31,14,16,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,32,9,17,11,10,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1
-36,27,31,14,16,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,24,11,11,15,15,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1
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-42,21,20,22,21,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,44,30,16,18,28,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0
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-42,21,20,22,21,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,31,13,13,11,15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
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-22,17,19,13,12,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,26,16,12,14,13,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-22,17,19,13,12,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,28,19,13,13,18,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1
-22,17,19,13,12,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,51,31,31,30,37,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0
-42,22,23,15,30,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,25,13,12,20,23,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0
-42,22,23,15,30,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,42,23,23,30,19,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1
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-49,29,28,30,29,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,44,22,22,21,28,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1
-49,29,28,30,29,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,16,6,6,12,13,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1
-37,21,19,32,20,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,49,27,27,26,33,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0
-37,21,19,32,20,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,43,22,21,22,25,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-37,21,19,32,20,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,29,14,12,24,13,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-37,21,19,32,20,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,26,14,16,22,19,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1
-37,21,19,32,20,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13,8,6,7,6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1
-37,21,29,27,29,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,13,6,6,6,7,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1
-37,21,29,27,29,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,62,37,36,39,37,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0
-37,21,29,27,29,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,26,10,14,23,14,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1
-37,21,29,27,29,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,23,11,9,16,16,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1
-37,21,29,27,29,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,18,11,10,11,10,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1
-17,8,8,9,7,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,44,22,18,39,20,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-17,8,8,9,7,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,48,33,37,20,16,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0
-17,8,8,9,7,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,44,27,17,41,25,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0
-17,8,8,9,7,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,26,8,13,9,9,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1
-17,8,8,9,7,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,19,11,14,8,11,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1
-46,28,31,12,13,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,19,11,11,11,11,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1
-46,28,31,12,13,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,12,6,6,5,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-46,28,31,12,13,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,18,10,9,11,10,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-46,28,31,12,13,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,25,13,12,20,23,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0
-46,28,31,12,13,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,12,7,7,6,6,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1
-19,9,11,14,15,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,11,5,6,7,6,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1
-19,9,11,14,15,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,33,14,12,32,36,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1
-19,9,11,14,15,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,12,7,6,6,5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1
-19,9,11,14,15,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,51,28,26,51,44,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0
-19,9,11,14,15,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,42,33,17,30,17,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0
-30,15,14,17,14,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,34,24,17,27,24,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0
-30,15,14,17,14,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,46,30,26,28,26,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0
-30,15,14,17,14,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,28,14,18,13,15,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1
-30,15,14,17,14,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,28,12,13,12,16,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1
-30,15,14,17,14,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,29,14,23,16,29,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1
-38,25,21,23,21,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,25,17,14,9,14,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1
-38,25,21,23,21,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,46,29,29,29,29,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1
-38,25,21,23,21,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,21,10,16,11,15,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1
-38,25,21,23,21,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,32,17,17,17,21,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1
-38,25,21,23,21,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,15,7,7,10,7,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-35,22,13,21,14,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,33,33,30,21,16,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0
-35,22,13,21,14,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,19,12,12,7,7,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1
-35,22,13,21,14,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,38,19,16,22,17,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1
-35,22,13,21,14,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,46,31,28,28,37,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0
-35,22,13,21,14,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,40,32,39,11,15,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0
-42,23,23,30,19,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,32,16,20,15,17,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1
-42,23,23,30,19,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,39,19,19,19,19,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-42,23,23,30,19,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,27,18,16,17,15,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1
-42,23,23,30,19,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,32,23,17,24,19,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-42,23,23,30,19,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,16,9,8,10,8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-23,15,11,12,15,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,58,37,25,19,19,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0
-23,15,11,12,15,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,64,5,5,14,23,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-23,15,11,12,15,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,28,18,20,12,10,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1
-23,15,11,12,15,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,53,52,43,37,25,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0
-23,15,11,12,15,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,63,55,41,35,43,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0
-50,38,36,15,16,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,64,33,21,12,21,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-50,38,36,15,16,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,47,18,32,18,25,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,1
-50,38,36,15,16,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,20,17,10,13,8,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1
-50,38,36,15,16,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,35,17,14,20,16,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1
-50,38,36,15,16,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,43,38,26,35,23,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1
-49,27,33,25,28,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,49,35,29,33,28,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1
-49,27,33,25,28,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,12,6,6,6,6,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
-49,27,33,25,28,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,63,37,43,37,52,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0
-49,27,33,25,28,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,27,19,27,13,14,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1
-49,27,33,25,28,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,12,6,6,6,6,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1
-14,8,12,7,8,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,43,21,20,18,17,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0
-14,8,12,7,8,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,30,32,28,18,11,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0
-14,8,12,7,8,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,12,6,7,5,5,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1
-14,8,12,7,8,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,41,21,22,19,19,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0
-14,8,12,7,8,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,16,10,15,9,10,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1
-32,25,18,36,23,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,22,10,16,12,20,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1
-32,25,18,36,23,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,33,18,17,31,27,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0
-32,25,18,36,23,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,45,22,21,19,17,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0
-32,25,18,36,23,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,37,19,18,22,17,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1
-32,25,18,36,23,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,35,28,19,14,16,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0
diff --git a/HW5/game_data.py b/HW5/game_data.py
index 1ef9669..f1cdc02 100644
--- a/HW5/game_data.py
+++ b/HW5/game_data.py
@@ -47,7 +47,7 @@ pokemons_df = pd.DataFrame.from_dict(pokemons_dict,orient='index')
 
 
 available_pokemon_names = list(pokemons_dict.keys())
-available_starters = ['bulbasaur', 'charmander', 'squirtle']
+available_starter_names = ['bulbasaur', 'charmander', 'squirtle']
 
 #type effectiveness
 type_effectiveness = []
diff --git a/HW5/hw5.py b/HW5/hw5.py
index bb54961..94c3761 100644
--- a/HW5/hw5.py
+++ b/HW5/hw5.py
@@ -4,6 +4,7 @@ import random
 import copy
 import game_data as gd
 import pickle
+import joblib
 import matplotlib.pyplot as plt
 import numpy as np
 import os
@@ -310,7 +311,9 @@ def train_model(dataset_column_labels):
         impurity = False,
         proportion = True)
         graph = graphviz.Source(dot_data)
-        graph.render(outfile=f"plots/tree_{i}.pdf", format='pdf') 
+        graph.render(outfile=f"plots/tree_{i}.pdf", format='pdf')
+
+    return best_model
 
 if __name__ == "__main__":
     Ngames = 10
@@ -327,5 +330,6 @@ if __name__ == "__main__":
     print("Generating dataset")
     dataset_column_labels = build_dataset()
     print("Training model")
-    train_model(dataset_column_labels)
-    print("Ended")
\ No newline at end of file
+    best_model = train_model(dataset_column_labels)
+    joblib.dump(best_model, 'trained_model.joblib')
+    print("Ended")
diff --git a/HW5/hw5_final.py b/HW5/hw5_final.py
new file mode 100644
index 0000000..7b79e9f
--- /dev/null
+++ b/HW5/hw5_final.py
@@ -0,0 +1,571 @@
+from core import Trainer
+import game_data as gd
+import random
+import copy
+import numpy as np
+import pickle
+import joblib
+import os
+import pandas as pd
+from sklearn.model_selection import train_test_split
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.metrics import accuracy_score, classification_report, confusion_matrix
+from sklearn.model_selection import RandomizedSearchCV
+from scipy.stats import randint
+from sklearn.tree import export_graphviz
+import graphviz
+
+game_status = 'story'
+game_active_flag = True
+if os.path.exists('trained_model.joblib'):
+    recommender_sys_avail = True
+else:
+    recommender_sys_avail = False
+
+def recommend(player_pokemon, opponent_pokemon):
+    global recommender_sys_avail
+    if recommender_sys_avail:
+        model = joblib.load('trained_model.joblib')
+
+        # Prepare input data
+        all_pokemon_types = list(gd.available_types)
+        player_ActStats = list(player_pokemon.ActStats.values())
+        player_pokemon_type = player_pokemon.types
+        player_pokemon_type_encoded = [1 if t in player_pokemon_type else 0 for t in all_pokemon_types]
+        opponent_ActStats = list(opponent_pokemon.ActStats.values())
+        opponent_pokemon_type = opponent_pokemon.types
+        opponent_pokemon_type_encoded = [1 if t in opponent_pokemon_type else 0 for t in all_pokemon_types]
+
+        input_data = player_ActStats + player_pokemon_type_encoded + opponent_ActStats + opponent_pokemon_type_encoded
+        labels = build_dataset()[:-1]  # Exclude the last label which is 'battle_result'
+        df_to_eval = pd.DataFrame([input_data], columns=labels)
+        
+        prediction_proba = model.predict_proba(df_to_eval)
+        return prediction_proba[0][1]  # Returns 1 if prediction is a win, 0 otherwise, and the probability of winning
+    else:
+        raise ValueError("Recommender system is not available. Play NewRandomBattle once!")
+def Battle(trainer,cpu_trainer):
+    global game_status
+    global game_active_flag
+    print(f"You are in battle against CPU's {cpu_trainer.get_active_pokemon().name}!")
+    battle_active = True
+    
+    while battle_active:
+        player_battle_action_selected = False
+        while not player_battle_action_selected:
+            print("Type the number of one of the following actions:")
+            print(f"1) Attack - [Your active Pokemon - {trainer.get_active_pokemon().name}]")
+            print("2) Change pokemon")
+            print("3) Use item")
+            print("4) Consult the Oracle")
+            print("5) Run away")
+            print('6) Check status')
+
+            try:
+                action = int(input("Choose an action (1-6): ").strip())
+                player_battle_action_selected = True
+            except ValueError:
+                print("Invalid input. Please enter a number between 1 and 6.")
+                continue
+
+        if action == 1:
+            #check if the player can sustain a battle: first check the active pokemon,
+            #then check the pokemons in the list
+            if not trainer.active_pokemon_can_battle():
+                print("Your active pokemon cannot battle!")
+                if not trainer.can_battle():
+                    print("You have no more pokemon that can battle! You lost the battle!")
+                    battle_active = False
+                    game_status = 'pokemon_center'
+                    break
+                else:
+                    print("You have other pokemon that can battle! Please change your active pokemon!")
+                    continue
+
+            selected_combat_move_flag = False
+            while not selected_combat_move_flag:
+                active_pokemon = trainer.get_active_pokemon()
+                cpu_active_pokemon = cpu_trainer.get_active_pokemon()
+                print(f"Choose a move for {active_pokemon.name} to use against {cpu_active_pokemon.name}:\n", active_pokemon.get_moves())
+                player_move_name = input("Choose:")
+                try:
+                    active_pokemon.useMove(player_move_name,cpu_active_pokemon)
+                    selected_combat_move_flag = True
+                    #check if the opponent has been defeated
+                    if not cpu_trainer.active_pokemon_can_battle():
+                        print(f"{cpu_trainer.get_active_pokemon().name} has been defeated!")
+                        battle_active = False
+                        game_status = 'story'
+                        break
+
+                    #if the opponent has not been defeated, then its the CPU turn to play
+                    cpu_active_pokemon_selected_move_name = random.choice(cpu_active_pokemon.get_moves())
+                    print(f"CPU's {cpu_active_pokemon.name} is using {cpu_active_pokemon_selected_move_name} against your {active_pokemon.name}!")
+                    cpu_active_pokemon.useMove(cpu_active_pokemon_selected_move_name, active_pokemon)
+
+                    #update the player pokemon list
+                    trainer.update_pokemon_list(active_pokemon)
+                    #check if the player has been defeated
+                    if not trainer.active_pokemon_can_battle():
+                        print(f"Your {active_pokemon.name} has been defeated!")
+                        if not trainer.can_battle():
+                            print("You have no more Pokemons that can battle! You lost!")
+                            battle_active = False
+                            game_status = 'pokemon_center'
+                            break
+                        else:
+                            print("You have other Pokemons that can battle!")
+                            continue
+                except ValueError as e:
+                    print(e)
+                    print("Please try again...")
+
+        elif action == 2:
+            print('='*30)
+            print("Change active pokemon")
+            print('-'*30)
+            change_pokemon_success = False
+            while not change_pokemon_success:
+                try:
+                    print("Select the name of a pokemon in your list:")
+                    print(trainer.get_pokemon_list())
+                    chosen_new_pokemon_name = input('Choose...')
+                    trainer.change_active_pokemon(chosen_new_pokemon_name)
+                    change_pokemon_success = True
+                except ValueError as e:
+                    print(e)
+
+        elif action == 3:
+            print("Select the item index to use:")
+            trainer.print_items()
+            item_selected_flag = False
+            while not item_selected_flag:
+                try:
+                    avail_items = list(trainer.items.keys())
+                    item_index = int(input("Choose an item index (1-2): ").strip())
+                    item_selected_flag = True
+                    is_pokeball = trainer.use_item(item_name=avail_items[item_index - 1])
+                    if is_pokeball:
+                        catch_prob = 1 - (cpu_trainer.get_active_pokemon().get_current_hp() / cpu_trainer.get_active_pokemon().baseStats['hp'])
+                        random_value = random.uniform(0, 1)
+                        if random_value < catch_prob:
+                            print(f"You caught {cpu_trainer.get_active_pokemon().name}!")
+                            trainer.add_pokemon(cpu_trainer.get_active_pokemon())
+                            battle_active = False
+                            game_status = 'story'
+                        else:
+                            print(f"{cpu_trainer.get_active_pokemon().name} escaped your pokeball!")
+                except ValueError:
+                    print("Please enter a number between 1 and 2.")
+                    continue
+
+        elif action == 4:
+            global recommender_sys_avail
+            if recommender_sys_avail:
+                try:
+                    for pokemon in trainer.pokemon_list:
+                        win_prob = recommend(player_pokemon=pokemon, opponent_pokemon=cpu_trainer.get_active_pokemon())
+                        print(f"The Oracle predicts {pokemon.name} to have {win_prob:.2f} of chances to win against {cpu_trainer.get_active_pokemon().name}.")
+                except ValueError as e:
+                    print(e)
+
+        elif action == 5:
+            runaway_prob = 0.6
+            random_value = random.uniform(0, 1)
+            if random_value < runaway_prob:
+                print("You successfully ran away from the battle!")
+                battle_active = False
+                game_status = 'story'
+            else:
+                print("You could not run away from the battle!")
+
+        elif action == 6:
+            print('='*30)
+            print("BATTLE INFO")
+            print('-'*30)
+            print("Your items:")
+            trainer.print_items()
+            print("Your pokemon list info:")
+            for pokemon in trainer.pokemon_list:
+                pokemon.print_pokemon_info()
+                print("-"*30)
+            print("CPU active pokemon info:")
+            cpu_trainer.get_active_pokemon().print_pokemon_info()
+            print('='*30)
+        else:
+            print("Invalid action. Please choose again.")
+
+def RandomBattle(trainer,cpu_trainer):
+    #print(f"You are in battle against {cpu_trainer.name}!")
+    battle_active = True
+    
+    active_pokemon = trainer.get_active_pokemon()
+    cpu_active_pokemon = cpu_trainer.get_active_pokemon()
+    #print(f"Your active Pokemon is {active_pokemon.name} and the CPU's active Pokemon is {cpu_active_pokemon.name}.")
+    did_player_won = False
+    battle_turns_num = 0
+
+    player_hp_evolution = []
+    player_selected_moves = []
+    player_damage_done = []
+    cpu_hp_evolution = []
+    cpu_selected_moves = []
+    cpu_damage_done = []
+    while battle_active:
+        player_move_name = random.choice(active_pokemon.get_moves())
+        player_selected_moves.append(player_move_name)
+        #print(f"{active_pokemon.name} selected {player_move_name} to use against {cpu_active_pokemon.name}:\n")
+        try:
+            player_damage_done_value = active_pokemon.useMove(player_move_name,cpu_active_pokemon,game_status='new_random_battle')
+
+            player_damage_done.append(player_damage_done_value)
+            player_hp_evolution.append(active_pokemon.get_current_hp())
+            cpu_hp_evolution.append(cpu_active_pokemon.get_current_hp())
+
+            battle_turns_num += 1
+            #check if the opponent has been defeated
+            if not cpu_trainer.active_pokemon_can_battle():
+                #print(f"{cpu_trainer.get_active_pokemon().name} has been defeated! You win!")
+                did_player_won = True
+                battle_active = False
+                break
+
+            #if the opponent has not been defeated, then its the CPU turn to play
+            cpu_active_pokemon_selected_move_name = random.choice(cpu_active_pokemon.get_moves())
+            #print(f"CPU's {cpu_active_pokemon.name} is using {cpu_active_pokemon_selected_move_name} against your {active_pokemon.name}!")
+            cpu_selected_moves.append(cpu_active_pokemon_selected_move_name)
+
+            cpu_damage_done_value = cpu_active_pokemon.useMove(cpu_active_pokemon_selected_move_name, active_pokemon,game_status='new_random_battle')
+
+            cpu_damage_done.append(cpu_damage_done_value)
+            player_hp_evolution.append(active_pokemon.get_current_hp())
+            cpu_hp_evolution.append(cpu_active_pokemon.get_current_hp())
+            battle_turns_num += 1
+
+            #update the player pokemon list
+            trainer.update_pokemon_list(active_pokemon)
+            #check if the player has been defeated
+            if not trainer.active_pokemon_can_battle():
+                #print(f"Your {active_pokemon.name} has been defeated!")
+                if not trainer.can_battle():
+                    #print("You have no more Pokemons that can battle! You lose!")
+                    did_player_won=False
+                    battle_active = False
+                    break
+                else:
+                    #print("You have other Pokemons that can battle!")
+                    continue
+
+        except ValueError as e:
+            print(e)
+
+    #manage those cases for which the player wins in the first turn and the cpu does not play any turn
+    if len(player_damage_done) == 0:
+        player_damage_done = [0]
+    if len(cpu_damage_done) == 0:
+        cpu_damage_done = [0]
+
+    player_avg_damage_done = np.mean(player_damage_done) #average damage done per turn
+    cpu_avg_damage_done = np.mean(cpu_damage_done) #average damage done per turn
+
+    player_residual_hp_percent = trainer.get_active_pokemon().get_current_hp_percent()
+
+    player_history = {'player_hp_evolution':player_hp_evolution,
+                      'player_selected_moves':player_selected_moves,
+                      'player_damage_done':player_damage_done,
+                      'player_avg_damage_done':player_avg_damage_done
+    }
+    cpu_history = {'cpu_hp_evolution':cpu_hp_evolution,
+                   'cpu_selected_moves':cpu_selected_moves,
+                   'cpu_damage_done':cpu_damage_done,
+                   'cpu_avg_damage_done':cpu_avg_damage_done
+    }
+    turn_history = {'player_history':player_history,
+                    'cpu_history':cpu_history
+    }
+    battle_results = {
+        'player_pokemon':trainer.get_active_pokemon(),
+        'encountered_pokemon':cpu_trainer.get_active_pokemon(),
+        'result':did_player_won, 
+        'battle_turns_num':battle_turns_num,
+        'player_residual_hp_percent':player_residual_hp_percent,
+        'turn_history':turn_history
+    }
+    return battle_results
+
+def build_dataset():
+    #if the dataset.csv file does not exist, then build, otherwise load it
+    all_pokemon_types = list(gd.available_types)
+    player_ActStats_labels = ["player_hp", "player_attack", "player_defense", "player_speed", "player_special"]
+    player_type_label = ['player_type_' + t for t in all_pokemon_types]
+    opponent_ActStats_labels = ["opponent_hp", "opponent_attack", "opponent_defense", "opponent_speed", "opponent_special"]
+    opponent_type_label = ['opponent_type_' + t for t in all_pokemon_types]
+
+    #define a padas dataframe to store the dataset
+    dataset_column_labels = player_ActStats_labels + player_type_label + opponent_ActStats_labels + opponent_type_label + ['battle_result'] 
+    dataset = pd.DataFrame(columns=dataset_column_labels)
+    files_to_analyze = os.listdir('results/')
+    dataset_row = []
+    for file_name in files_to_analyze:
+        pickle_in = open(f"results/{file_name}",'rb')
+        all_battle_results = pickle.load(pickle_in)
+        pickle_in.close()
+        for battle_result in all_battle_results:
+            player_pokemon_ActStats = list(battle_result['player_pokemon'].ActStats.values())
+            player_pokemon_type = battle_result['player_pokemon'].types
+            player_pokemon_type_encoded = [1 if t in player_pokemon_type else 0 for t in all_pokemon_types]
+            opponent_pokemon = list(battle_result['encountered_pokemon'].ActStats.values())
+            opponent_pokemon_type = battle_result['encountered_pokemon'].types
+            opponent_pokemon_type_encoded = [1 if t in opponent_pokemon_type else 0 for t in all_pokemon_types]
+            battle_result_integer = 1 if battle_result['result'] else 0
+            dataset_row = player_pokemon_ActStats + player_pokemon_type_encoded + opponent_pokemon + opponent_pokemon_type_encoded + [battle_result_integer]
+            #append the row to the dataset
+            dataset.loc[len(dataset)] = dataset_row
+
+    #save the dataset to a csv file
+    dataset.to_csv('dataset.csv', index=False)
+
+    return dataset_column_labels
+
+def train_model(dataset_column_labels):
+    dataset_labels = dataset_column_labels[:-1]
+    # Load the dataset
+    dataset = pd.read_csv('dataset.csv')
+
+    # Split the dataset into features and target variable
+    X = dataset.drop('battle_result', axis=1)
+    y = dataset['battle_result']
+
+    # Split the data into training and testing sets
+    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+
+    # Create a Random Forest Classifier
+    model = RandomForestClassifier()
+    param_dist = {
+        'n_estimators': randint(50, 500),
+        'max_depth': randint(1, 20),
+    }
+
+    rand_search = RandomizedSearchCV(model,
+                                    param_distributions=param_dist,
+                                    n_iter=5, cv=5).fit(X_train, y_train)
+
+    # Train the model
+    best_model = rand_search.best_estimator_
+    print(f"Best parameters found: {rand_search.best_params_}")
+
+    # Make predictions on the test set
+    y_pred = best_model.predict(X_test)
+
+    # Evaluate the model
+    accuracy = accuracy_score(y_test, y_pred)
+    print(f"Model Accuracy: {accuracy:.2f}")
+    print("Classification Report:")
+    print(classification_report(y_test, y_pred))
+    print("Confusion Matrix:")
+    print(confusion_matrix(y_test, y_pred))
+
+
+    # Visualize the first three estimators
+    for i in range(3):
+        tree = best_model.estimators_[i]
+        dot_data = export_graphviz(tree,
+        feature_names=dataset_labels,
+        filled = True,
+        max_depth = 2,
+        impurity = False,
+        proportion = True)
+        graph = graphviz.Source(dot_data)
+        graph.render(outfile=f"plots/tree_{i}.pdf", format='pdf')
+
+    # Save the trained model
+    joblib.dump(best_model, 'trained_model.joblib')
+
+def MainRandomBattle(starter_choice,Nbattles):
+    try:
+        starter_name = starter_choice
+        trainer = Trainer(name='trainer', starter_name=starter_name)
+        #print(f"{trainer.name} has chosen {trainer.starter} as their starter Pokemon!")
+        #print("Adding potions and pokeballs to your inventory...")
+        trainer.items = {"potions": 10, "pokeball": 10}
+        #print("Your character is ready!")
+        #print(f"Welcome {trainer.name}! Your adventure begins now!")
+    except ValueError as e:
+        print(e)
+        print("Something went wrong!")
+
+    game_active_flag = True
+    while game_active_flag:
+        all_battle_results = []
+        for i in range(0,Nbattles):
+            #print("You entered the Random Battle mode")
+            #print("Battle #",i)
+            cpu_trainer = Trainer(name='CPU',starter_name=gd.pokemons_df.index[random.randint(0,len(gd.pokemons_df.index)-1)],is_CPU=True)
+            battle_results = RandomBattle(trainer,cpu_trainer)
+            all_battle_results.append(battle_results)
+            heal_flag = 'yes'
+            if heal_flag == 'yes':
+                for pokemon in trainer.pokemon_list:
+                    pokemon.curr_hp = pokemon.baseStats['hp']
+                #print("All your Pokemon have been healed!")
+
+        game_active_flag = False
+        #save all battle results
+        return all_battle_results
+
+def Main():
+    global game_status
+    global game_active_flag
+    player_created_flag = False
+    while not player_created_flag:
+        try:
+            trainer_name = input("Enter your trainer name: ")
+            print("Available starter Pokemon: ", gd.available_starter_names)
+            starter_name = input("Choose your starter Pokemon: ")
+            trainer = Trainer(name=trainer_name, starter_name=starter_name)
+            print(f"{trainer.name} has chosen {trainer.starter} as their starter Pokemon!")
+            print("Adding potions and pokeballs to your inventory...")
+            trainer.items = {"potions": 10, "pokeball": 10}
+            print("Your character is ready!")
+            #trainer.print_trainer_info()
+            player_created_flag = True
+            print(f"Welcome {trainer.name}! Your adventure begins now!")
+        except ValueError as e:
+            print(e)
+            print("Please try again...")
+            continue
+
+    while game_active_flag:
+        if game_status == 'story':
+            print("Type the number of one of the following actions:")
+            print("1) Explore ")
+            print("2) Pokemon Center")
+            print("3) Pokemon Store")
+            print("4) Show trainer data")
+            print("5) NewRandomBattle")
+            print("6) Exit")
+
+            try:
+                action = int(input("Choose an action (1-6): ").strip())
+            except ValueError:
+                print("Invalid input. Please enter a number between 1 and 6.")
+                continue
+            if action == 1:
+                game_status = 'explore'
+            elif action == 2:
+                game_status = 'pokemon_center'
+            elif action == 3:
+                game_status = 'pokemon_store'
+            elif action == 4:
+                print("Showing trainer data:")
+                trainer.print_trainer_info()
+            elif action == 5:
+                confirm=input("Are you sure you want to start a new random battle? This will generate data and train the model. Type 'yes' to continue: ")
+                if confirm.lower() == 'yes':
+                    print("Starting a new random battle!")
+                    game_status = 'new_random_battle'
+                else:
+                    print("Cancelled starting a new random battle.")
+            elif action == 6:
+                print("Exiting the game. Goodbye!")
+                game_active_flag = False
+            else:
+                print("Invalid action. Please choose again.")
+
+        elif game_status == 'explore':
+            print("You are exploring")
+            battle_prob = random.uniform(0, 1)
+            #print(f"Battle probability: {battle_prob:.2f}")
+            if battle_prob < 0.8:
+                cpu_trainer = Trainer(name='CPU',starter_name=gd.pokemons_df.index[random.randint(0,len(gd.pokemons_df.index)-1)],is_CPU=True)
+                print(f"A wild {cpu_trainer.get_active_pokemon().name} appeared!")
+                
+                #print(cpu_trainer.get_active_pokemon().print_pokemon_info())
+                game_status = 'battle'
+                #before entering the battle, we predict the win probability of
+                #each of the player's pokemon against the opponent's pokemon
+                try:
+                    win_probs = []
+                    for pokemon in trainer.pokemon_list:
+                        win_prob = recommend(player_pokemon=pokemon, opponent_pokemon=cpu_trainer.get_active_pokemon())
+                        win_probs.append(win_prob)
+                        print(f"The Oracle predicts {pokemon.name} to have {win_prob:.2f} of chances to win.")
+                    #if all the win probabilities are below 0.5, we suggest the player to run away
+                    if all(prob < 0.5 for prob in win_probs):
+                        print("The Oracle suggests to RUN AWAY!")
+                    else:
+                        if len(win_probs) > 1:
+                            #find the pokemon with the highest win probability
+                            best_pokemon_index = win_probs.index(max(win_probs))
+                            best_pokemon = trainer.pokemon_list[best_pokemon_index]
+                            print(f"The Oracle suggests to use {best_pokemon.name}!")
+                        else:
+                            continue
+                except ValueError as e:
+                    print("HINT: Unlock access to the Oracle by playing NewRandomBattle!") 
+
+                Battle(trainer,cpu_trainer)
+            else:
+                print('-'*30)
+                print("No wild Pokemon appeared.")
+                game_status = 'story'
+                
+        elif game_status == 'pokemon_center':
+            print("You are at the Pokemon Center. You can heal your Pokemon here.")
+            heal_flag = input("Type 'yes' to heal your Pokemons or any other key to exit: ").strip().lower()
+            if heal_flag == 'yes':
+                for pokemon in trainer.pokemon_list:
+                    pokemon.curr_hp = pokemon.baseStats['hp']
+                    for move in pokemon.moves_dict.keys():
+                        pokemon.moves_dict[move]['pp'] = copy.deepcopy(gd.available_moves_df.loc[move]['pp'])
+                print("All your Pokemon have been healed!")
+                game_status = 'story'
+            else:
+                print("You exited the Pokemon Center.")
+                game_status = 'story'
+            # Add Pokemon Center logic here
+        
+        elif game_status == 'pokemon_store':
+            print("You are in the Pokemon Store. You can buy items here.")
+            restore_items_flag = input("Type 'yes' to restore your items: ").strip().lower()
+            if restore_items_flag == 'yes':
+                trainer.items = {"potions": 10, "pokeball": 10}
+                print("Your items have been restored!")
+                game_status = 'story'
+            else:
+                print("You exited the Pokemon Store.")
+                game_status = 'story'
+
+        elif game_status == 'new_random_battle':
+            Ngames = 1000
+            Nbattles = 500
+            print("Generating data...")
+            for i in range(Ngames):
+                starter_choice = gd.pokemons_df.index[random.randint(0,len(gd.pokemons_df.index)-1)]
+                #print(f"Generating data for {starter_choice}, game {i}...")
+                results = MainRandomBattle(starter_choice=starter_choice, Nbattles=Nbattles)
+                pickle_out = open(f"results/{starter_choice}_game_{i}_{Nbattles}_battles.pickle",'wb')
+                pickle.dump(results,pickle_out)
+                pickle_out.close()
+        
+            print("Generating dataset")
+            dataset_column_labels = build_dataset()
+            print("Training model")
+            try:
+                train_model(dataset_column_labels)
+                print("Model has been trained! Ending NewRandomBattle")
+                global recommender_sys_avail
+                recommender_sys_avail = True
+            except Exception as e:
+                print(f"An error occurred during model training: {e}")
+                print("Ending NewRandomBattle without training the model.")
+            game_status = 'story'
+
+        else:
+            print("Unknown game status. Try again.")
+
+if __name__ == "__main__":
+    if not os.path.exists('results'):
+        os.makedirs('results')
+
+    Main()
\ No newline at end of file
diff --git a/HW5/plots/tree_0.gv b/HW5/plots/tree_0.gv
deleted file mode 100644
index c0979b1..0000000
--- a/HW5/plots/tree_0.gv
+++ /dev/null
@@ -1,33 +0,0 @@
-digraph Tree {
-node [shape=box, style="filled", color="black", fontname="helvetica"] ;
-edge [fontname="helvetica"] ;
-0 [label="player_defense <= 14.5\nsamples = 100.0%\nvalue = [0.332, 0.668]", fillcolor="#9ccef2"] ;
-1 [label="opponent_speed <= 16.5\nsamples = 40.8%\nvalue = [0.579, 0.421]", fillcolor="#f8ddc9"] ;
-0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
-2 [label="player_hp <= 13.0\nsamples = 20.2%\nvalue = [0.321, 0.679]", fillcolor="#97cbf1"] ;
-1 -> 2 ;
-3 [label="(...)", fillcolor="#C0C0C0"] ;
-2 -> 3 ;
-6 [label="(...)", fillcolor="#C0C0C0"] ;
-2 -> 6 ;
-29 [label="opponent_hp <= 37.5\nsamples = 20.6%\nvalue = [0.873, 0.127]", fillcolor="#e99356"] ;
-1 -> 29 ;
-30 [label="(...)", fillcolor="#C0C0C0"] ;
-29 -> 30 ;
-39 [label="(...)", fillcolor="#C0C0C0"] ;
-29 -> 39 ;
-40 [label="opponent_speed <= 36.5\nsamples = 59.2%\nvalue = [0.145, 0.855]", fillcolor="#5baee9"] ;
-0 -> 40 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
-41 [label="player_attack <= 14.0\nsamples = 54.3%\nvalue = [0.102, 0.898]", fillcolor="#50a8e8"] ;
-40 -> 41 ;
-42 [label="(...)", fillcolor="#C0C0C0"] ;
-41 -> 42 ;
-43 [label="(...)", fillcolor="#C0C0C0"] ;
-41 -> 43 ;
-80 [label="player_special <= 30.0\nsamples = 4.9%\nvalue = [0.714, 0.286]", fillcolor="#efb388"] ;
-40 -> 80 ;
-81 [label="(...)", fillcolor="#C0C0C0"] ;
-80 -> 81 ;
-88 [label="(...)", fillcolor="#C0C0C0"] ;
-80 -> 88 ;
-}
diff --git a/HW5/plots/tree_0.pdf b/HW5/plots/tree_0.pdf
deleted file mode 100644
index 15e91b4..0000000
Binary files a/HW5/plots/tree_0.pdf and /dev/null differ
diff --git a/HW5/plots/tree_1.gv b/HW5/plots/tree_1.gv
deleted file mode 100644
index 1b5dc37..0000000
--- a/HW5/plots/tree_1.gv
+++ /dev/null
@@ -1,33 +0,0 @@
-digraph Tree {
-node [shape=box, style="filled", color="black", fontname="helvetica"] ;
-edge [fontname="helvetica"] ;
-0 [label="player_hp <= 32.5\nsamples = 100.0%\nvalue = [0.327, 0.673]", fillcolor="#99cdf2"] ;
-1 [label="player_type_psychic <= 0.5\nsamples = 47.3%\nvalue = [0.503, 0.497]", fillcolor="#fffefd"] ;
-0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
-2 [label="player_special <= 6.5\nsamples = 45.0%\nvalue = [0.479, 0.521]", fillcolor="#eff7fd"] ;
-1 -> 2 ;
-3 [label="(...)", fillcolor="#C0C0C0"] ;
-2 -> 3 ;
-12 [label="(...)", fillcolor="#C0C0C0"] ;
-2 -> 12 ;
-47 [label="opponent_attack <= 17.5\nsamples = 2.3%\nvalue = [0.9, 0.1]", fillcolor="#e88f4f"] ;
-1 -> 47 ;
-48 [label="(...)", fillcolor="#C0C0C0"] ;
-47 -> 48 ;
-49 [label="(...)", fillcolor="#C0C0C0"] ;
-47 -> 49 ;
-50 [label="opponent_hp <= 40.5\nsamples = 52.7%\nvalue = [0.156, 0.844]", fillcolor="#5eafea"] ;
-0 -> 50 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
-51 [label="player_defense <= 17.5\nsamples = 38.6%\nvalue = [0.075, 0.925]", fillcolor="#49a5e7"] ;
-50 -> 51 ;
-52 [label="(...)", fillcolor="#C0C0C0"] ;
-51 -> 52 ;
-59 [label="(...)", fillcolor="#C0C0C0"] ;
-51 -> 59 ;
-78 [label="player_attack <= 26.5\nsamples = 14.1%\nvalue = [0.391, 0.609]", fillcolor="#b8dcf6"] ;
-50 -> 78 ;
-79 [label="(...)", fillcolor="#C0C0C0"] ;
-78 -> 79 ;
-98 [label="(...)", fillcolor="#C0C0C0"] ;
-78 -> 98 ;
-}
diff --git a/HW5/plots/tree_1.pdf b/HW5/plots/tree_1.pdf
deleted file mode 100644
index 2e792dd..0000000
Binary files a/HW5/plots/tree_1.pdf and /dev/null differ
diff --git a/HW5/plots/tree_2.gv b/HW5/plots/tree_2.gv
deleted file mode 100644
index 4f312ae..0000000
--- a/HW5/plots/tree_2.gv
+++ /dev/null
@@ -1,21 +0,0 @@
-digraph Tree {
-node [shape=box, style="filled", color="black", fontname="helvetica"] ;
-edge [fontname="helvetica"] ;
-0 [label="opponent_type_ghost <= 0.5\nsamples = 100.0%\nvalue = [0.361, 0.639]", fillcolor="#a9d4f4"] ;
-1 [label="opponent_defense <= 28.5\nsamples = 98.7%\nvalue = [0.352, 0.648]", fillcolor="#a4d2f3"] ;
-0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
-2 [label="player_type_bug <= 0.5\nsamples = 80.4%\nvalue = [0.254, 0.746]", fillcolor="#7cbeee"] ;
-1 -> 2 ;
-3 [label="(...)", fillcolor="#C0C0C0"] ;
-2 -> 3 ;
-58 [label="(...)", fillcolor="#C0C0C0"] ;
-2 -> 58 ;
-65 [label="opponent_type_dragon <= 0.5\nsamples = 18.3%\nvalue = [0.794, 0.206]", fillcolor="#eca26c"] ;
-1 -> 65 ;
-66 [label="(...)", fillcolor="#C0C0C0"] ;
-65 -> 66 ;
-83 [label="(...)", fillcolor="#C0C0C0"] ;
-65 -> 83 ;
-84 [label="samples = 1.3%\nvalue = [1.0, 0.0]", fillcolor="#e58139"] ;
-0 -> 84 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
-}
diff --git a/HW5/plots/tree_2.pdf b/HW5/plots/tree_2.pdf
deleted file mode 100644
index d9ce5fe..0000000
Binary files a/HW5/plots/tree_2.pdf and /dev/null differ
diff --git a/HW5/requirements.txt b/HW5/requirements.txt
new file mode 100644
index 0000000..a2b8ceb
--- /dev/null
+++ b/HW5/requirements.txt
@@ -0,0 +1,6 @@
+numpy>=1.24.0
+pandas>=2.0.0
+scikit-learn>=1.3.0
+scipy>=1.10.0
+joblib>=1.3.0
+graphviz>=0.20.0