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_______ is a supervised machine learning algorithm used to solve regression and classification problems. It is based on the ensemble learning concept and contains multiple decision trees on various subsets of the dataset considered.
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How to handle missing data in a given training data set ?5
What are the differences/similarities between a loss function, an error function, and a cost function?4
Given a data set, which elements will help you to choose what model / machine learning method to use to create an efficient model?9
The validation set is used to provide frequent and unbiased evaluations of the modelâs 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.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.9
How to handle missing data in a given training data set ?5
What is ensemble learning? It consists in âŠ