Confusion Matrix with statsmodels in Python Template
In this Confusion Matrix with statsmodels in Python template, we will show you how to solve a simple classification problem using the logistic regression algorithm. Then, we will create a python confusion matrix of the model using the statsmodels library and make the table more beautiful and readable with the help of the pandas library. Some other related topics you might be interested in are Logistic regression with statsmodels in Python, Logistic Regression Curve in Python, Model Accuracy in Python. You can now download the Python template for free. The Confusion Matrix with statsmodels in Python template is among the topics covered in detail in the 365 Data Science program.
Hristina HristovaCourse Author Linkedin profile
Who is it for
This is an open-access Python template that is going to be very useful for Data Analysts, Data Scientists, Machine Learning Engineers and anyone who wants to know how to assess the classification capabilities of a machine learning model.
How it can help you
After a model for a classification task has been developed, it is always handy to evaluate its performance by constructing a confusion matrix. This is a matrix that shows the number of correctly and incorrectly predicted items in a way that is easy to read and interpret. Once the matrix has been constructed, it is easy to extract metrics such as accuracy, misclassification rate, precision and recall, etc.
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