Data preprocessing is crucial in any data mining process as they directly impact success rate of the project. ... Data is said to be unclean if it is missing attribute, attribute values, contain noise or outliers and duplicate or wrong data. Presence of any of these will degrade quality of the results.

What is the importance of preprocessing?

Data preprocessing is an important task. It is a data mining technique that transforms raw data into a more understandable, useful and efficient format. Data has a better idea. This idea will be clearer and understandable after performing data preprocessing.

Why data preprocessing is important in machine learning?

Data preprocessing is an integral step in Machine Learning as the quality of data and the useful information that can be derived from it directly affects the ability of our model to learn; therefore, it is extremely important that we preprocess our data before feeding it into our model.