Question: Which classification algorithm creates multiple decision trees and combines their predictions to improve accuracy and reduce overfitting? a . Logistic Regression b . Random Forest

Which classification algorithm creates multiple decision trees and combines their predictions to improve accuracy and reduce overfitting?
a. Logistic Regression
b. Random Forest
c. K-Nearest Neighbors (KNN)
d. Gradient Boosting

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Students Have Also Explored These Related Databases Questions!

Q:

In confusion matrix, which metric corresponds to the ratio of correct positive predictions to the total positive predictions? accuracy precision recall classification QUESTION 2 In confusion matrix,...

Q:

use the code r Script below to Answer the questions from number 3 to 7 Questions : 3. Model #1 - First Logistic Regression Model Reporting Results Report the results of the regression model. Address...

Q:

1 . Introduction The primary objective of this report is to analyze a given dataset and construct predictive models to classify the data accurately. The dataset comprises various features, each...

Q:

13.( 1 pt) For each of the following situations, indicate whether ANOVA is appropriate; if not appropriate, the reason why not; and, if appropriate, the type of ANOVA that would be used (i.e.,...

Q:

Questions are below kenneth brown is the principal owner of brown oil inc. After quitting his university teaching job. ken has been able to increase this annual salary by a factor of over 100. at the...

Q:

The probability of a student playing football is known to be 0.53; and the probability of a student playing rugby is known to be 0.5. If the probability of playing both is known to be 0.38,...

Q:

Selected Dataset: drug 2 0 0 0 . csv The drug 2 0 0 0 . csv dataset includes medical records of patients, with various attributes. It has six columns. The first column, Age shows the age of the...

Q:

Could you please explain the findings of the study? A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models Evangelia...

Q:

Ineeded help with my assignment. It was returned saying needs revision. I am not sure what needs to be done. If I have a sample document , then I could understand what the questionmeans. I. DATA...

Q:

This assignment expects you to make a use of multiple machine learning algorithms to make predictions from the following datasets. Refer to our lecture notes and practicals to use appropriate...

Q:

Given an unsorted array of integers, design an algorithm to find the pair of elements in the array that have the smallest absolute difference between them. If there are multiple pairs with the same...

Q:

Dunhams Sporting Goods purchases merchandise with a catalog list price of $35,000. The retailer receives a 20% trade discount and credit terms of 2/10, n/30. What amount should Norfolk debit to the...

Q:

14. Fill-In Questions Between the mid-1970s and the mid-1980s, our unemployment rate never dipped below _______________ percent. (LO4)

Q:

manufacturer reports direct materials of $6 per unit, direct labor of $3 per unit, and variable overhead of $5 per unit. Fixed overhead $172,000 per year, and the company estimates sales of 17,200...

Q:

1. What competitive challenges motivated PwC to develop the Ulysses Program?

Q:

2. Do you think the Ulysses Program contributes to PwCs business strategy and goals? Explain.

Q:

4. Explain how person characteristics, input, output, consequences, and feedback influence performance and learning.