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.
Tarea
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.
Solución
Mark tasks as Completed
¿Todo estuvo claro?
¡Gracias por tus comentarios!
Sección 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.
Tarea
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.
Solución
Mark tasks as Completed
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¿Todo estuvo claro?
¡Gracias por tus comentarios!
Sección 1. Capítulo 5
