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Identifying Fake News

Initial Model FitInitial Model Fit

Now that we have prepared our data, the time has come to train our algorithm. We will start by splitting our data into training and testing sets, then train a Logistic Regression model as a starting point for our analysis.

Task

  1. Split the data into training and test sets (75% to 25%, respectively).
  2. Use the appropriate method to train the Logistic Regression model.
  3. Make predictions using the Logistic Regression model on the test set.

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 5
AVAILABLE TO ULTIMATE ONLY
course content

Course Content

Identifying Fake News

Initial Model FitInitial Model Fit

Now that we have prepared our data, the time has come to train our algorithm. We will start by splitting our data into training and testing sets, then train a Logistic Regression model as a starting point for our analysis.

Task

  1. Split the data into training and test sets (75% to 25%, respectively).
  2. Use the appropriate method to train the Logistic Regression model.
  3. Make predictions using the Logistic Regression model on the test set.

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 5
AVAILABLE TO ULTIMATE ONLY
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