Initial 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.
Tarefa
Swipe to start coding
- Split the data into training and test sets (75% to 25%, respectively).
- Use the appropriate method to train the Logistic Regression model.
- Make predictions using the Logistic Regression model on the test set.
Solução
Mark tasks as Completed
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Seção 1. Capítulo 5
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Completion rate improved to 14.29Initial 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.
Tarefa
Swipe to start coding
- Split the data into training and test sets (75% to 25%, respectively).
- Use the appropriate method to train the Logistic Regression model.
- Make predictions using the Logistic Regression model on the test set.
Solução
Mark tasks as Completed
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixoTudo estava claro?
Obrigado pelo seu feedback!
Seção 1. Capítulo 5
