Model Tuning Quiz

A model can be seen as a combination of :

To validate a model, you use the :

Model tuning is :

The Ideal model have :

A model that "might always do good prediction, but never great prediction" have :

A model that "might do great sometimes, but it also might do terrible" have :

Bias represents ________ on a model's results due to erroneous assumptions in the machine learning process.

Variance, is a type of error that occurs due to a model's _____ to fluctuations in the training set.

High variance would cause an algorithm to model the noise in the training set. This is most commonly referred to as over (a)