can't predict using test data about automl-gs HOT 4 OPEN

I'm having the exact same issue/confusion.

I added a target column and filled it with np.nan before running the predictions, but then a ValueError was thrown.

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so I got around the problem using this link. I modified my code as follows:

header_list = test_data.columns

header_list = list(header_list)

header_list.append('accepted')

test_data = test_data.reindex(columns = header_list)

test_data = test_data.fillna(0)

When I run the command to generate predictions, I get a predictions.csv but the results it contains are not what I would expect for a logistic regression. It contains probabilities, not 1 or 0, which are the values in the training data and what I would expect. Why is that???

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I had the same problem
It's not clear that the format of the prediction model's data set is the data.csv written on GIT. This data set does not find where it is

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