Need help with this data mining question regarding decision trees **Task 2: Predicting Educational Qualification using Demographic Data**You are tasked with predicting the educational qualification of each person based on demographic data with the following attributes:1. **Annual Income** (real-valued)2. **Income Tax filed** (real-valued)3. **Age** (integer)4. **State of residence in US** (categorical)5. **Gender** (categorical)6. **House Owner or not** (Boolean)7. **Height** (in inches)**Assumptions:**- The target classes are (a) college degree and (b) without a college degree.- The fraction of the population with a college degree is roughly equal to the fraction that does not have a college degree.**Decision Trees:**- **Strengths:** 1. Easy to interpret and visualize. 2. Handles both numerical and categorical data effectively.- **Weakness:** 1. Prone to overfitting, especially with complex datasets.

Strengths Most of the attributes show the financial strength of Person and that is strong factor to…

2. Imagine you are given the task to predict the educational qualification of each person using their demographic data with the following attributes: (1) Annual Income (real-valued), (2) Income Tax filed (real-valued), (3) Age (integer), (4) State of residence in US (categorical), (5) Gender (categorical), (6) House Owner or not (Boolean), and (7) Height (in inches). Assume the target classes are (a) college degree and (b) without a college degree. Also, assume that the fraction of the population that has a

2. Imagine you are given the task to predict the educational qualification of each person using their demographic data with the following attributes: (1) Annual Income (real-valued), (2) Income Tax filed (real-valued), (3) Age (integer), (4) State of residence in US (categorical), (5) Gender (categorical), (6) House Owner or not (Boolean), and (7) Height (in inches). Assume the target classes are (a) college degree and (b) without a college degree. Also, assume that the fraction of the population that has a

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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