Exercise

# Making predictions

The trained network from your previous coding exercise is now stored as `model`

. New data to make predictions is stored in a NumPy array as `pred_data`

. Use `model`

to make predictions on your new data.

In this exercise, your predictions will be probabilities, which is the most common way for data scientists to communicate their predictions to colleagues.

Instructions

**100 XP**

- Create your predictions using the model's
`.predict()`

method on`pred_data`

. - Use NumPy indexing to find the column corresponding to predicted probabilities of survival being True. This is the second
*column*(index`1`

) of`predictions`

. Store the result in`predicted_prob_true`

and print it.