Data Science, Machine Learning, Analytics, Visualization, Statistics.
data. More the number of features, more the variance (variation in data) and hence model finds it easy to make ‘splits’ or ‘boundaries’. But not all features provide useful information. They can have noise too. If our model starts fitting to this random noise, it would lose its robustness. So