Overfitting - เฮง เค็ ล

Overfitting vs Underfitting คำที่ว่าด้วยปัญหาจากความซับซ้อนของข้อมูล overfitting

In an overfitting scenario, models have learned the random fluctuations and noise from training datasets, resulting in the models handling noise

overfitting One way to manage overfitting and underfitting is to use statistical validation methods, such as cross-validation and regularization Cross- Usually, detecting underfitting is more straightforward than detecting overfitting Even without using a test set, we can decide if the model is performing Model overfitting is a statistical error in supervised ML, whereby the trained model fits the noise in the training data rather than its actual pattern

รัชกาลที่1 Overfitting is a fundamental issue in supervised machine learning which prevents us from perfectly generalizing the models to well fit observed data on training