add noise and decrease train size

app.py

@@ -13,11 +13,11 @@ from sklearn.linear_model import Ridge
 from sklearn.model_selection import train_test_split
 np.random.seed(2)
 
-X = 2 * np.random.rand(1000, 1)
-y = 4 + 3 * X + np.random.rand(1000, 1)
+X = 2 * np.random.rand(100, 1)
+y = 4 + 3 * X + np.random.rand(100, 1)
 
 X_train, X_test, y_train, y_test = train_test_split(
-    X, y, test_size=0.1, random_state=42)
+    X, y, test_size=0.6, random_state=42)
 
 def build_model(alpha):
   r_reg = Ridge(alpha=alpha)