Question: Which of the following algorithms are supervised learning algorithms? KNN, Nave Bayes, Decision tree, hierarchical clustering. Which of the following algorithms are unsupervised learning algorithms?

Which of the following algorithms are supervised learning algorithms?

KNN, Nave Bayes, Decision tree, hierarchical clustering.

Which of the following algorithms are unsupervised learning algorithms?

KNN, Nave Bayes, Decision tree, hierarchical clustering.

Which of the following algorithms setup and estimate parameters during model training?

Hierarchical clustering, association rule, linear regression.

Which of the following algorithms can be used in classification?

Decision tree, logistic regression, hierarchical clustering, association rule, KNN, Nave Bayes

We have to standardize the values of the features when using ____ algorithms.

Decision tree, logistic regression, hierarchical clustering, association rule, KNN, Nave Bayes

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 General Management Questions!

Q:

i want summary please Survey paper When machine learning meets congestion control: A survey and comparison Huiling Jiang s", Qing Lit ker, Yong Jiang ", , GengBiao Shen ", Richard Sinnott ", Chen...

Q:

summaries the next paragraph in one prepare in word document 1. Introduction Undoubtedly, the world is shrinking into a small village owing to the tangible influence of social media. It connects...

Q:

This question is solved I want another solution //I get errors when running the codes // I get errors when running the codes // I get errors when running the codes // # Import necessary libraries...

Q:

You need to code the project in Python language. Jupyter notebook should be used and a single code file with .ipynb extension should be passed. If your computer's processing capacity is not...

Q:

Algorithms in Artificial Intelligence (or, the old name: Introduction to Algorithmic Decision Making) Part 1 Based on slides by David Sarne and Lirong Xia Course Tentative Schedule Introduction...

Q:

here is the link for the csv file http://www.dewetcomputers.com/CSV/dataset_assignment3.csv The project asks you to develop, evaluate and compare models for the prediction of proteins that interact...

Q:

True False ( Each question is 5 points ) . 1 . True or False? Classification algorithms work by examining an input training set of data to learn how the data values combine to create a result. True 2...

Q:

Microkernel operating systems aim to address perceived modularity and reliability issues in traditional "monolithic" operating systems. (i) Describe the typical architecture of a microkernel...

Q:

In this assignment, you will work with different classification algorithms, including logistic regression, KNN, Naive Bayes, SVM, decision trees, and random forests. You will be using a publicly...

Q:

***Machine Learning Problem*** Start with iris7_explore_7models.py, and perform the following: 1. For the decision trees classifier: a. Visualize the decision tree with maximum depth of 2, 4, 8 and...

Q:

Mirk Labs is a British pharmaceutical company that currently enjoys a patent monopoly in Europe, Canada, and the United States on Zatab (pronounced zay-tab), an allergy medication. The global demand...

Q:

Let U = (all soda pops}; A = (all diet soda pops}; B = {all cola soda pops}; C= {all soda pops in cans}; and D= {all caffeine-free soda pops). Describe the given set in words. A'nC Select one: O a....

Q:

course:auditing - match each test result with its corresponding risk of controls - affects audit efficiency, affects audit effectiveness 1 . assessing control risk too high 2 . assessing control risk...

Q:

What is an example of constructive feedback? provide reference