From the course: Predictive Analytics Essential Training: Data Mining

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Determining your target variable

Determining your target variable

From the course: Predictive Analytics Essential Training: Data Mining

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Determining your target variable

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- [Instructor] We've already discussed that the most effective way for the data scientists and management to collaborate is to focus on binary classification models. And we've learned about two data requirements so far, history and flat file. Our next data requirement element is that we need a target variable. In order to predict an outcome, we need our data to be labeled data. That simply means that in our flat file, the final outcome is known and has been recorded. With the rise of computer vision, many may now associate labeled data or another common phrase, supervised learning with the labeling objects in an image like trying to identify the presence of a cat on social media. Supervised learning is simply the type of machine learning where these labels are present. The algorithm learns by associating the characteristics of the pictures with the label, as long as it has a bunch of examples. But computer vision…

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