How to evalute the decsion trees? what are the metrics used to calculate like accurancy?
How can we say that the decision tree model that we built is __% accurate where is the section for the same?
Hello,
To determine the accuracy of a decision tree model:
1) Split your data into a training set and a test set.
2) Train the model on the training set.
3) Make predictions on the test set.
4) Calculate accuracy using the formula:
Accuracy=(Number of Correct Predictions / Total Number of Predictions)×100%
5) Consider other metrics like precision and recall, especially for imbalanced data.
6) Use techniques like k-fold cross-validation for a more reliable estimate.
7) Review the confusion matrix for a detailed performance breakdown.
For more info on this Please take a look at Section 12 of this course:
https://learn.365datascience.com/courses/learn-machine-learning-process-a-z/introduction/
Best,
Ned
