When training a machine learning algorithm, why are larger training sets considered better?
A. more data means greater accuracy
B. more data means less accuracy
C. more data mean s more confusion
D. more data means less bias
A. more data means greater accuracy
By providing a larger training set, machine learning algorithms have more data points to learn from, which can help improve the accuracy of the model. It allows for better generalization and reduces the chances of overfitting to the training data.