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Building an algorithm, assessing its performance, and evaluating the final selected algorithm usually occurs by using multiple datasets. There are a f common datasets used
Building an algorithm, assessing its performance, and evaluating the final selected algorithm usually occurs by using multiple datasets. There are a f common datasets used throughout this process.
The goal of this activity is to demonstrate your understanding between training, validation, testing, and new data.
Match each term to its correct description.
Training
New data
Validation
M
of the options above to the items below.
the data used to build the algorithm and "learn" the relationship between the predictors and the target variable
the data used to assess how well the model estimates the target variable to make a recommendation
the data used to evaluate the final selected algorithm and see how well it performs
the data used to apply the final selected model to perform prediction or classification
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