When choosing the algorithm for machine learning, you have to consider numerous factors to properly choose the right algorithm for the task. It should not only based on the predicted output: category, value, cluster, and so on, but also on numerous other factors, such as these:
- Training time
- Size of data and number of features you're processing
- Accuracy
- Linearity
- Number of possible parameters
Training time can range from minutes to hours, depending not only on the algorithm, but also on the amount of features entering the model and the total amount of data that is being processed. However, a proper choice of algorithm can make the training time much shorter compared to the other. In general, regression models ...
