# Test

Supervised Learning
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Terms in this set (40)
Supervised training where the targets have continuous values. It is used for predicting unseen inputs. An example is estimating the house price based on the number of rooms and land area. Another example is the petrol consumed per KM for a car based on the number of cylinders, weight and engine size.
Overfitting a model is when training reaches a state where it can classify the training data perfectly while poorly classifying any unseen data. It happens when we have a complex model with many parameters and a small number of data to train the model. Also, it could happen when the number of epochs becomes far more than what is necessary.