Course Content
Identifying Fake News
Decision Tree Comparison
Let's now explore another model in our analysis. We will compare the results obtained with the Logistic Regression algorithm to those from the DecisionTreeClassifier. The pipeline will remain the same as in the previous chapter.
The key takeaway here is that in the world of Data Science, it is crucial to continuously try different approaches that may yield better results on your data.
Task
- Initialize the
DecisionTreeClassifiermodel. - Train the model.
- Make predictions on the test set.
- Use the appropriate method to evaluate the model (compute accuracy score).
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
Let's now explore another model in our analysis. We will compare the results obtained with the Logistic Regression algorithm to those from the DecisionTreeClassifier. The pipeline will remain the same as in the previous chapter.
The key takeaway here is that in the world of Data Science, it is crucial to continuously try different approaches that may yield better results on your data.
Task
- Initialize the
DecisionTreeClassifiermodel. - Train the model.
- Make predictions on the test set.
- Use the appropriate method to evaluate the model (compute accuracy score).
Switch to desktop for real-world practiceContinue from where you are using one of the options below