How to select the right value of model parameter?

We know that machine learning algorithms are driven by parameters. These parameters majorly influence the outcome of the learning process.

The objective of parameter tuning is to find the optimum value for each parameter to improve the accuracy of the model. To tune these parameters, you must have a good understanding of their meaning and individual impact on the model. You can repeat this process with a number of well-performing models.

For example: In a random forest, we have various parameters like maxfeatures, numbertrees, randomstate, oobscore and others. Intuitive optimization of these parameter values will result in better and more accurate models.

Which of the following is not a parameter of random forest algorithm (in Scikit Learn)?

Possible Answers

max_depth
maxleafnode
learning rate
max_features

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Exercise

How to select the right value of model parameter?

Which of the following is not a parameter of random forest algorithm (in Scikit Learn)?

Instructions

Possible Answers