Medium
Which of the following ensemble model aims at reducing variance?
Edit
0
Community EvaluationsNo one has reviewed this question yet, be the first!
6
What is ensemble learning? It consists in …5
Given a data set, which elements will help you to choose what model / machine learning method to use to create an efficient model?19
How to handle missing data in a given training data set ?11
The validation set is used to provide frequent and unbiased evaluations of the model’s fit on the training set while tuning its hyperparameters/parameters: in other words,the model is found and then tested on the validation set before to be improved once again.10
How to handle missing data in a given training data set ?6
What are the differences/similarities between a loss function, an error function, and a cost function?7
What is the missing word in the following sentence: Overfitting is the production of a model that corresponds too closely to the training data set and may therefore fail to fit other data sets and so fail to perform any reliable forecast.