Explain any three factors that influence the accuracy of a Machine Learning model.

Three factors that influence the accuracy of a Machine Learning model are:

1. Quality of data — Data quality is an important factor in the success of a machine learning model. If the data has noise or wrong information, the predictions generated by the model will not be correct.
2. Quantity of data — A large amount of data is required to create an accurate and precise machine learning model, as the algorithm learns the important features from this data.
3. Selection of algorithm — An appropriate machine learning algorithm must be chosen according to the data and requirement. For example, if the data has labels, a supervised learning algorithm should be selected, otherwise an unsupervised learning algorithm should be used.