I am in the lab of the first week of the course of probability &Statistics for machine learning but I am getting this error in the exercise 6. I am not sure if I selected the correct parameters for the different cases:

UnboundLocalError Traceback (most recent call last)

Cell In[65], line 7

**4** example_breed = df_test[[“breed”]].loc[0][“breed”]

**5** print(f"Example dog has breed **{** example_breed**}** and features: height = **{** example_dog[‘height’]**:** .2f**}** , weight = **{** example_dog[‘weight’]**:** .2f**}** , bark_days = **{** example_dog[‘bark_days’]**:** .2f**}** , ear_head_ratio = **{** example_dog[‘ear_head_ratio’]**:** .2f**}** **\n** ")

----> 7 print(f"Probability of these features if dog is classified as breed 0: **{** prob_of_X_given_C([*example_dog], FEATURES, 0, train_params)**}** ")

**8** print(f"Probability of these features if dog is classified as breed 1: **{** prob_of_X_given_C([*example_dog], FEATURES, 1, train_params)**}** ")

**9** print(f"Probability of these features if dog is classified as breed 2: **{** prob_of_X_given_C([*example_dog], FEATURES, 2, train_params)**}** ")

Cell In[64], line 53, in prob_of_X_given_C(X, features, breed, params_dict)

**50** probability_f = pdf_uniform(x, params.a, params.b)

**52** # Multiply by probability of current feature

—> 53 probability *= probability_f

**55** ### END CODE HERE ###

**57** **return** probability

UnboundLocalError: local variable ‘probability_f’ referenced before assignment