What are the different metrics for evaluating classification models in sklearn?

Feb 19, 2025 ... Scikit-learn (sklearn): One of the top NLP frameworks that offers an easy way of implementing regression, clustering, and classification for ... Text Classification with scikit-learn . This example shows how you can create a Hugging Face Hub compatible repo for a text classification task using ... Scikit-learn, also known as sklearn, is an open-source, machine learning and data modeling library for Python. It features various classification, regression ... Auto-sklearn provides out-of-the-box supervised machine learning. Built around the scikit-learn machine learning library, auto-sklearn automatically searches ... Sep 6, 2019 ... Sklearn is typically just fine for building models in production. The way we do it is to usually store the trained model as an image (usually ... Jul 21, 2023 ... Scikit-learn's HuberRegressor is a linear regression model that combines the best attributes of both ordinary least squares (OLS) regression and ... Aug 28, 2021 ... Essentially, sklearn is a dummy project on PyPi that will in turn install scikit-learn . Therefore, if you uninstall sklearn you are just ... ... sklearn.linear_model import Perceptron from sklearn.model_selection import train_test_split from sklearn.metrics import accuracy_score. Part 1. Exploratory ... Aug 30, 2019 ... sklearn's LogisticRegression default keyword arguments are insane. All of the above is a simple ad absurdum argument demonstrating that it is ... Jan 22, 2024 ... Here is how to fix this error in the main use cases: - use 'pip install scikit-learn' rather than 'pip install sklearn' - replace 'sklearn' by ' ...