What is Overfitting Machine Learning Tutorial Intellipaat

Overfitting in Machine Learning: What It Is and How to Prevent It overfitting predictive model is underfitting or overfitting the training data by looking at the prediction error on the training data and the evaluation data overfitting Kaggle competitions are a particularly well-suited environment for studying overfitting since data sources are diverse, contestants use a wide range of model

overfitting Overfitting is caused by the size of the data We know that the more the data more the model will learn hence, we try to give better predictions