Anomaly detection assiment

Course Q&A Machine Learning Specialization Unsupervised Learning, Recommenders, Reinforcement
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# UNQ_C2
# GRADED FUNCTION: select_threshold

def select_threshold(y_val, p_val): 

    # moderator edit: code removed        

    return best_epsilon, best_F1

assertionerror: Wrong best_epsilon. Expected: 0.04 got: 0
what’s wrong I tried for an hour to figure it out

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i also get a syntax error
i think the cell is wrong or something

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Please post an image that shows the syntax error message.

Please do not post your code on the forum. That’s not allowed by the Code of Conduct. If a mentor needs to see your code, we’ll contact you with instructions.

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Hello,

You can refer hints section below this grader cell

  1. You can then, for example, compute the number of false positives using:
    fp = sum((predictions == 1) & (y_val == 0)).

  2. Also you do not need to calculate tn for this

  3. Oh, I see you did refer hints when you wrote the below code but you do not require the below codes
    if F1 > best_F1:
    best_F1 = F1
    best_epsilon = epsilon

as it already recalled before the ##START CODE HERE

Also as said by Tom, kindly remove codes, don’t post on public thread.

Regards
DP