diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index b4aad9943..e8d39180a 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -1,8 +1,6 @@
 name: ML Pipeline CI
 
 on:
-  # push:
-  #   branches: [ main, master  ]
   pull_request:
     branches: [ main, master ]
 
@@ -11,31 +9,40 @@ jobs:
     runs-on: ubuntu-latest
     steps:
     - uses: actions/checkout@v3
-    
+
     - name: Set up Python
       uses: actions/setup-python@v4
       with:
         python-version: '3.10'
-        
+
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
         pip install pytest great_expectations pandas scikit-learn flake8 black mypy pytest-cov
+        pip install mlflow numpy tensorflow
         if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
-        
+
     - name: Lint with flake8
       run: |
         flake8 day5/演習3 --count --select=E9,F63,F7,F82 --show-source --statistics
         flake8 day5/演習3 --count --exit-zero --max-complexity=10 --max-line-length=88 --statistics
-        
+
     - name: Format check with black
       run: |
         black --check day5/演習3
-        
+
     - name: Run data tests
       run: |
+        export PYTHONPATH="${PYTHONPATH}:$(pwd)"
         pytest day5/演習3/tests/test_data.py -v
-        
+
     - name: Run model tests
       run: |
+        export PYTHONPATH="${PYTHONPATH}:$(pwd)"
         pytest day5/演習3/tests/test_model.py -v
+
+    - name: Run model inference tests
+      run: |
+        export PYTHONPATH="${PYTHONPATH}:$(pwd)"
+        pytest day5/演習3/tests/test_model_inference.py -v
+        pytest day5/演習3/tests/test_model_inference.py -v --disable-warnings
diff --git "a/day5/\346\274\224\347\277\2221/models/titanic_model.pkl" "b/day5/\346\274\224\347\277\2221/models/titanic_model.pkl"
index 6fec87e47..f65bd0469 100644
Binary files "a/day5/\346\274\224\347\277\2221/models/titanic_model.pkl" and "b/day5/\346\274\224\347\277\2221/models/titanic_model.pkl" differ
diff --git "a/day5/\346\274\224\347\277\2222/black_check.py" "b/day5/\346\274\224\347\277\2222/black_check.py"
index 3158f952d..910a40c3a 100644
--- "a/day5/\346\274\224\347\277\2222/black_check.py"
+++ "b/day5/\346\274\224\347\277\2222/black_check.py"
@@ -1,7 +1,18 @@
+def say_hello(name):
+    print("Hello," + name + "!")  # greet
+
+
+def say_hello(name):
+    print("Hello," + name + "!")  # greet
+
+
+def add(a, b):
+    return a + b
+
+
+def add(a, b):
+    return a + b
+
 
-def say_hello(name):print("Hello,"+name+"!")   # greet
-def say_hello(name):print("Hello,"     +    name   +"!")   # greet
-def add( a,b):return a+b
-def add( a ,     b    ):return a+b
 def add(a, b):
-    return a+b
\ No newline at end of file
+    return a + b
diff --git "a/day5/\346\274\224\347\277\2222/main.py" "b/day5/\346\274\224\347\277\2222/main.py"
index 776b70e75..2b256b6c5 100644
--- "a/day5/\346\274\224\347\277\2222/main.py"
+++ "b/day5/\346\274\224\347\277\2222/main.py"
@@ -11,6 +11,7 @@
 import time
 import great_expectations as gx
 
+
 class DataLoader:
     """データロードを行うクラス"""
 
diff --git "a/day5/\346\274\224\347\277\2222/models/titanic_model.pkl" "b/day5/\346\274\224\347\277\2222/models/titanic_model.pkl"
index 9e1859fdf..e5c3b5ad8 100644
Binary files "a/day5/\346\274\224\347\277\2222/models/titanic_model.pkl" and "b/day5/\346\274\224\347\277\2222/models/titanic_model.pkl" differ
diff --git "a/day5/\346\274\224\347\277\2223/tests/test_model_inference.py" "b/day5/\346\274\224\347\277\2223/tests/test_model_inference.py"
new file mode 100644
index 000000000..d76cd3606
--- /dev/null
+++ "b/day5/\346\274\224\347\277\2223/tests/test_model_inference.py"
@@ -0,0 +1,29 @@
+import os
+import time
+from day5.演習2.main import DataLoader, ModelTester
+
+# モデルファイルパスの明示的な指定
+MODEL_DIR = os.path.join(os.path.dirname(__file__), "../models")
+MODEL_PATH = os.path.join(MODEL_DIR, "titanic_model.pkl")
+DATA_PATH = os.path.join(os.path.dirname(__file__), "../data/Titanic.csv")
+
+
+def test_model_inference_accuracy():
+    """モデルの推論精度が0.75以上であることを検証"""
+    model = ModelTester.load_model(MODEL_PATH)
+    data = DataLoader.load_titanic_data(DATA_PATH)
+    X, y = DataLoader.preprocess_titanic_data(data)
+    y_pred = model.predict(X)
+    accuracy = (y_pred == y).mean()
+    assert accuracy >= 0.75, f"Accuracy too low: {accuracy:.4f}"
+
+
+def test_model_inference_time():
+    """モデルの推論が1秒以内に完了することを検証"""
+    model = ModelTester.load_model(MODEL_PATH)
+    data = DataLoader.load_titanic_data(DATA_PATH)
+    X, y = DataLoader.preprocess_titanic_data(data)
+    start = time.time()
+    _ = model.predict(X)
+    elapsed = time.time() - start
+    assert elapsed < 1.0, f"Inference took too long: {elapsed:.4f} sec"