Create a dataframe X with input features Distance and ScoreDiffPreKick.

Create a dataframe y with output feature Outcome.

Flatten y into an array called yArray using np$.$ravel$().$

Initialize a logistic regression model using LogisticRegression$().$

Fit the model to the input and flattened output features in X and yArray.

Create a new dataframe XNew with user$-$input values for Distance and ScoreDiffPreKick.

Use the fitted logistic regression model to predict the outcome from the new data.

Determine the accuracy of a fitted logistic regression classification model.