Hacker News with Generative AI: Classification

Model Evaluation with RandomForest and AdaBoost (deepnote.com)
This notebook demonstrates how to train and evaluate machine learning models, specifically focusing on the Random Forest Classifier and AdaBoost Classifier. We will use synthetic data and visualize key metrics, including accuracy, precision, recall, and F1-score.
Machine Learning, Data Science, Classification, Random Forest, AdaBoost
18 points by QuantumCoder111 33 days ago | 2 comments
How 15 Top LLMs perform on classification: accuracy vs. cost breakdown (airtrain.ai)
Historically, classification tasks used to be non-trivial endeavors, both in terms of human-power and cost. It would require a specialized model trained on a large labeled dataset; a consequential project involving tasks such as gathering the data, labeling the data, training and evaluating the model, monitoring and retraining, etc.
Generative AI, Machine Learning, Classification, Cost Analysis
13 points by idrisschebak 88 days ago | 0 comments