Please create your code in compliance with all of the following conditions. Output should be code only. Do not enclose the output in ```python ``` or the like.
・The following data are for "target" of 0 and 1, respectively. Analyze these data and create a python code to predict the probability that the "target" of the unknown data is 1.
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{{dataset_str}}
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・Create a code that predicts a high probability value when "target" is 1 and a low probability value when "target" is 0 for the data given above.
・Each data type is as follows. If necessary, you can change the data type.
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・Think and code the logic to predict probability values based on the data without using a existing machine learning model.
・Please make your predictions as accurate as possible.
・Predicting probability values as finely as possible increases overall accuracy.
・You do not need to provide examples.
・You need to enclose the output in "#########".
・Create a code like the following.
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def predict(x):
    import numpy as np

    df = x.copy()
    output = []
    for index, row in df.iterrows():
        # Do not change the code before this point.
        # Please describe the process required to make the prediction below.


        # Do not change the code after this point.
        output.append(y)
    return np.array(output)
