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.
Oppgave
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.
Løsning
Mark tasks as Completed
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Seksjon 1. Kapittel 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.
Oppgave
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.
Løsning
Mark tasks as Completed
Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenforAlt var klart?
Takk for tilbakemeldingene dine!
Seksjon 1. Kapittel 5
