Question: using kaggle or google colab. Develop, train, and evaluate two intrusion detection models using AdaBoost and k - Nearest Neighbors ( k - NN )

using kaggle or google colab. Develop, train, and evaluate two intrusion detection models using AdaBoost and k-Nearest Neighbors (k-NN) classifiers with the attached dataset. Then, compare their performance based on accuracy and F1-score.
-Plot the accuracy and F1-scores achieved by both models.
-Write a brief analysis comparing the results of the two models based on accuracy and F1-score.

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:

Please solve the following project: Intrusion Detection Systems ( IDS ) with IoT Systems Project Goals Data Exploration: Navigate IoT traffic datasets to identify structures, patterns, and potential...

Q:

n this assignment, you will formulate and solve mathematical problems using python in google colab. You will submit two files: 1. A word file with the mathematical formulations of the problems, 2. An...

Q:

In this assignment, you will formulate and solve mathematical problems using python in google colab. You will submit two files: 1. A word file with the mathematical formulations of the problems, 2....

Q:

In this assignment, you will formulate and solve mathematical problems using python in google colab. You will submit two files: 1. A word file with the mathematical formulations of the problems, 2....

Q:

Available: Feb 1 5 , 2 0 2 5 1 2 : 0 0 am until Feb 2 0 , 2 0 2 5 5 : 0 0 pm Details A project manager is considering a portfolio of 5 project investments. The estimated profit for investment...

Q:

Using PySpark on Google Colab or WVU GoFirst cluster, write Python code in jupyter notebook to 1 ) Read the training data and test data into Spark DataFrame, and show the top 1 0 rows of data. 2 )...

Q:

[ using python by google colab ] Please load the following CSV file and perform polynomial predictions to compare two types of polynomial prediction lines. Among them, the second polynomial...

Q:

Please mention your Python version ( and maybe the version of all other packages ) . In this exercise you are going to run some experiments involving CNNs . You need to know Python and install the...

Q:

Below is the assignment details. It is written in Python. I also included a screenshot of the dataset route needed for the assignment on Colab. Thank You. For this assignment, you need to first build...

Q:

Heart Failure Prediction Dataset: Python Programming This is the link to the dataset below from kaggle. https://www.kaggle.com/fedesoriano/heart-failure-prediction Please answer the below questions...

Q:

Oxygen can be prepared by heating potassium chlorate, KClO3, with manganese dioxide as a catalyst. The reaction is How many moles of O2 would be obtained from 1.300 g KClO3? If this amount of O2 were...

Q:

O'Connor Video Center accumulates the following cost and market data at December 31. Compute the lower-of-cost-or-market valuation for O'Connor'sinventory. Categories Cameras Camcorders DVDs...

Q:

Ben purchases two boats for $ 6 0 0 , 0 0 0 each during the year, for a total cost of $ 1 , 2 0 0 , 0 0 0 . He purchased a blue boat on May 1 5 , 2 0 2 4 . He then purchased a red boat on December 1...

Q:

Super Cola is considering the introduction of a root beer drink. The company thinks the probability that the product will be a success is 0.6. See the following payoff table. Success (s1) Fail (s2) Pr