Question: Random Forest is an effective method because - It resolves the overfitting problem of decision tree

Random Forest is an effective method because
-It resolves the overfitting problem of decision tree

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 Programming Questions!

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:

Is this Possible ? 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:

What are the main advantages of using a random forest versus a single decision tree? The bootstrapping and aggregation components of random forests lead to a lower variance model when compared to a...

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:

A- Calculate the R-sq of the NO SPLIT model Group of answer choices 0.83 0 317.4083 1 B- What is the amount of SSE of the one split model? Group of answer choices 11.77819 114.51899 0 102.7408 C-...

Q:

Problem 2 [ 5 pts , Peer Review ] : Building an Random Forest Classifier to classify MNIST digits 3 and 8 . Remember that training the random forest algorithms involves the following steps: for k = 1...

Q:

Which one is NOT a characteristics of a decision tree technique? a . It is an example of the classification algorithms in machine learning. b . It is an example of the unsupervised learning. c ....

Q:

1. All variables selected to build a decision tree model will be used to predict the target variable. Group of answer choices True False 2.Select the correct statement: Group of answer choices...

Q:

Evaluate Where G is the part of the plane z = x + y above the triangular region with vertices (0, 0, 0), (1, 0, 0), and (0, 2, 0)? xyz dS,

Q:

Solve the question clearly by showing the steps to get thumps up. Multilateral Mudaraba Company A entered into a Mudaraba contract with Bank Sharia in which the company provides monetary capital of...

Q:

Question 1 1 5 pts Convider a long - term propect undertalen by a US . based maltinutional corporation MNCD in the UK . with an initial cont of f 1 2 5 , 0 0 0 . The proiect is expected to generate...

Q:

Under TCPS 2, research involving the secondary use of anonymized information does not require REB review. True False