Why is logistic regression better than random forest? June 16, 2022 211)What is the biggest weakness of decision trees compared to logistic regression classifiers? Explaination: Decision trees are more likely to overfit the data since… Continue Reading
What kind of data is Random Forest good for? June 15, 2022 Random forests is great with high dimensional data since we are working with subsets of data. It is faster to train than decision trees… Continue Reading
What are the types of anomaly detection? June 15, 2022 There are three main classes of anomaly detection techniques: unsupervised, semi-supervised, and supervised. Essentially, the correct anomaly detection method depends on the available labels… Continue Reading
What is random forest good for? June 15, 2022 Random forest can be used on both regression tasks (predict continuous outputs, such as price) or classification tasks (predict categorical or discrete outputs). Click… Continue Reading
How do you identify outliers on a graph? June 15, 2022 Multiplying the interquartile range (IQR) by 1.5 will give us a way to determine whether a certain value is an outlier. If we subtract… Continue Reading
What is meant by decision tree? June 15, 2022 Definition of decision tree : a tree diagram which is used for making decisions in business or computer programming and in which the branches… Continue Reading
Why Random Forest is better than multiple linear regression? June 15, 2022 Advantages of random forest It can perform both regression and classification tasks. A random forest produces good predictions that can be understood easily. It… Continue Reading
Does Random Forest reduce dimensionality? June 15, 2022 Linear Discriminant Analysis, or LDA, is a multi-class classification algorithm that can be used for dimensionality reduction. Click to see full answer Can decision… Continue Reading
How does random forest improve upon bagging? June 15, 2022 Random Forests are an improvement over bagged decision trees. A problem with decision trees like CART is that they are greedy. They choose which… Continue Reading
What is the benefit of removing redundant examples from the training set? June 15, 2022 Hence irrelevant and redundant data should be removed from training data sets to improve the predictive speed, reduce the time taken to build the… Continue Reading