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An introduction to AutoML
Once the data is imported, AutoML recognizes the type of each column (see Figure 10):
Figure 10: AutoML Tables: importing a CSV dataset
Let's select the target as the Deposit column. Since the selected column is categorical
data, AutoML Tables will build a classification model. This will predict the target
from the classes in the selected column. The classification is binary: 1 represents a
negative outcome, meaning that a deposit is not made at the bank; 2 represents a
positive outcome, meaning that a deposit is made at the bank.
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