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This is a same binary classification problem with sklearn.load_breast_cancer dataset with a deep learning model. /to-train-and-predict Script...
A Confusion Matrix is a performance measurement tool of a classification model. It's a table with the layout of: Predicted: YesPredicted:...
The dataset used is the breast cancer Wisconsin dataset from scikit-learn. from sklearn.datasets import load_breast_cancer # Load the...
Introduction Regression in statistics refers to a set of methods for estimating relationships between a dependent variable (often called "y") and one...
We so far have analyzed the Online Retail dataset with K-Means clustering and grouped customers based on their purchasing behavior. The process...
To evaluate how well the clustering worked, we can calculate the silhouette score, which is a measure of how similar an object is to its own cluster...