Data Quality
In short
How accurate and relevant the Data is for the problem you’re solving. Bad data leads to bad models.
When you teach a student to solve equations, you wouldn’t give them a wrong example — that would make them confused. Same with models.
In Machine Learning, a Model learns everything it knows from the Data you give it during Training. If we want good results, we have to make sure the data we provide is accurate for the problem we aim to solve. This means cleaning out errors, removing irrelevant information, and making sure the data actually represents the real-world scenario the model will face.