People also ask
How do I calculate the F1 score for this exact model?
The following example shows how to calculate the F1 score for this exact model in Python. The following code shows how to use the f1_score () function from the sklearn package in Python to calculate the F1 score for a given array of predicted values and actual values. We can see that the F1 score is 0.6857.
What is the F1 score of a logistic regression?
For example, if you fit another logistic regression model to the data and that model has an F1 score of 0.75, that model would be considered better since it has a higher F1 score. F1 Score vs. Accuracy: Which Should You Use?
What is an F1 score in machine learning?
When using classification models in machine learning, a common metric that we use to assess the quality of the model is the F1 Score. For example, suppose we use a logistic regression model to predict whether or not 400 different college basketball players get drafted into the NBA.
How do you calculate F1 score in confusion matrix?
The following confusion matrix summarizes the predictions made by the model: Precision = True Positive / (True Positive + False Positive) = 120/ (120+70) = .63157 Recall = True Positive / (True Positive + False Negative) = 120 / (120+40) = .75 The following example shows how to calculate the F1 score for this exact model in Python.