Imbalanced Classification with Python： Choose Better Metrics， Balance Skewed Classes， and Apply Cost-Sensitive Learning（Jason Brownlee）（Machine Learning Mastery 2020）
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    Imbalanced Classification with Python： Choose Better Metrics， Balance Skewed Classes， and Apply Cost-Sensitive Learning（Jason Brownlee）（Machine Learning Mastery 2020）

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书名：Imbalanced Classification with Python: Choose Better Metrics, Balance Skewed Classes, and Apply Cost-Sensitive Learning
出版社：Machine Learning Mastery
作者：Jason Brownlee
出版年份：2020
电子书格式： pdf
简介：Tackle the challenge of imbalanced classification with this comprehensive guide. Learn how to choose the right metrics, effectively balance skewed classes, and implement cost-sensitive learning techniques using Python. Master crucial concepts like precision, recall, F1-score, and ROC curves. This book is perfect for data scientists, machine learning engineers, and anyone working with imbalanced datasets. Improve your model’s performance and gain a deeper understanding of this critical area of machine learning.
ISBN：9798468452240, 84684

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