attribute at a node of the decision tree may happen if the attribute has many branches. true or false textbook:introduction to data minin

In VES modelling, what is the difference between a smooth model and a stacked model?

Make sure to show it as steps on a python with the final answer Fit a decision tree model using the training dataset (`x_train` and `y_train`)Create a variable named `y_pred`. Make predictions using the `x_test` variable and save these predictions to the y_pred variable Create a variable called `dt_accuracy`. Compute the accuracy rate of the logistic regression model using the `y_pred` and `y_test` and assign it to the `dt_accuracy` variable

Gradient Descent algorithm

In piecewise regression, what are breakpoints?

You have four various machine learning algorithms to pick from for supervised learning on a dataset. Describe any four factors you would use to help you decide which one to employ for a certain task.

Which statement best describes k-means cluster analysis?   Question 9 options:   It is the process of organizing observations into distinct groups based on a measure of similarity or dissimilarity.   It is the process of agglomerating observations into a series of nested groups based on a measure of similarity or dissimilarity.   It is the process of reducing the number of variables to consider in data-mining.    It is the process of estimating the value of a continuous outcome variable.

How do you compare random searching techniques like DFS, BFS and IDDFS with Genetic Algorithm based goal search ? Are Genetic Algorithms better ? If so, why ? Which is best for what type of Problems ?

At each branch, the data is partitioned into two or more categories using a decision tree. If the decision tree is not pruned, using this strategy might end up being counterproductive. When should you prune, and why?