Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

Using confusion matrix for obtaining the results three things are obtained that are precision, recall and accuracy. The result explains feature-based analysis on fine food reviews, Amazon at customer ...

In this tutorial, you will learn Python Logistic Regression. Here you’ll know what exactly is Logistic Regression and you’ll also see an Example with Python. Logistic Regression is an important topic ...

Confusion Matrix Without a clear understanding of the confusion matrix, it is hard to proceed with any of classification evaluation metrics. The confusion matrix provides a base to define and develop ...

For classification tasks, we will use a confusion matrix to check the accuracy of our machine learning model. from sklearn.metrics import confusion_matrix confusion = pd.crosstab(y_test, y_pred, ...

A confusion matrix is a predictive analytics tool. Specifically, it is a table that displays and compares actual values with the model’s predicted values.

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

In this post I will demonstrate how to plot the Confusion Matrix. I will be using the confusion martrix from the Scikit-Learn library (sklearn.metrics) and Matplotlib for displaying the results in a ...