5. Train a model

After we've chosen a dataset, we have to select a column (a feature) we want to predict. We will call this column ‘target’. Then we are going to use a supervised learning technique, that is, the algorithm will learn how to relate the dataset with this target. This process is called learning. The term ‘supervised’ comes from the idea that the learning will be conditioned or supervised by this target.

The model will then be trained. NextBrain will prepare the data and choose the best algorithm to train. When completed, an accuracy measure will illustrate how good the model is and how accurate the prediction is.

Updated on: 29/09/2022