Question: Use the k - nearest neighbor algorithm ( with k = 3 ) to classify new transactions as fraudulent or not. What is the accuracy

Use the k-nearest neighbor algorithm (with k =3) to classify new transactions as fraudulent or not. What is the accuracy of the model? (Answer in percentage, for example, enter 80.5 for an 80.5% accuracy.)

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:

In the Excel solution file accompanying this chapter, a data set on hairdresser customers is included (sheet named P- 12- 10- Data). The data contain information about the various characteristics of...

Q:

k - Nearest Neighbor The learning technique we have seen so far ( i . e . Naive Bayes ) has involved the analysis of a training set of examples in order to build a model for the task at hand. New...

Q:

3. k-Nearest Neighbors Given the same training data in question 1 (Buy_Computer dataset example), use k Nearest Neighbor algorithm (k=3) to predict the class for a new instance: age= yes,...

Q:

Project: Using the major business performance management (BPM) processes, describe the general process of how the case study organization will collect data that are relevant to the following:...

Q:

RID Age Income Student? Credit_rating Class: Buy_Computer? 1 40 medium no excellent no3. k-Nearest Neighbors Given the same training data in question 1 (Buy_Computer dataset example), use k- Nearest...

Q:

RID Age Income Student? Credit_rating Class: Buy_Computer? 1 40 medium no excellent no3. k-Nearest Neighbors Given the same training data in question 1 (Buy_Computer dataset example), use k- Nearest...

Q:

Please use python to write this program. Part A. k Nearest Neighbor (kNN) Supervised Learner (40 points) Write a program that performs supervised classification using the kN N algorithm which assigns...

Q:

Use Python to complete the following code. 3. Classification and K Nearest Neighbor Download and read the document that explains how to apply the K Nearest Neighbor (KNN) algorithm to classify data....

Q:

Need help solving this problem. Problem 2. Suppose that an online bookseller has collected ratings information from 20 past users (U1- U20) on a selection of recent books. The ratings range from 1 =...

Q:

A graph is something that looks like this. It has vertices, and edges. Each edge connects two vertices. It is used to model various things where there are "connections". For example, it could be...

Q:

During 2014 the following selected transactions affecting stockholders equity occurred for TARP Corporation: a. Feb. 1 Purchased in the open market 160 shares of the companys own common stock at $20...

Q:

(a) At a recently concluded seminar the following were extracted from the presentation of a financial analyst, Audited financial statements represents the records of stewardship of a companys...

Q:

Devin Bryant created a document authorizing the manufacture of 1 0 0 XL Widgets. This document is called what? Group of answer choices move ticket. materials requisition. production order. bill of...

Q:

true/false Consumers that do not have a bank should mail the cash each month to the payment office