Assignment 3- Classification Gini1. We will use the dataset below to learn a decision tree which predicts if people pass machinelearning (Yes or No), based on their previous GPA (High, Medium, or Low) and whether or not theystudied (see Table 1)Table 1: DatasetGPAStudiedPassedLNNLYYMNNMYYHNYHYYa. Calculate the Information Gain for H(Passed)b. Calculate the Information Gain over the following attributes:GPAəStudiedC.Which attribute should be chosen as the root of the decision tree?d. Calculate and draw a complete treee. Based on answer (d) predict the following data•GPA (L) and Studied (Y)●GPA (H) and Studied (N) -

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Answered: Assignment 3- Classification Gini 1. We…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Which of these modelling techniques tends to use many small trees? O a. All of these O b. Decision Trees c. Random Forests O d. Gradient Boosting
e A researcher with the Department of Education followed a cohort of students who graduated from high school in a certain year, monitoring the progress the students made toward completing a bachelor's degree. One aspect of his research vas to determine whether students who first attended community college took longer to attain a bachelor's degree than those who immediately attended and remained at a 4-year institution. The data in the table attached below summarize the esults of his study. Complete parts a) through e) below. E Click the icon to view the sample data. OA. The samples are independent. O B. The samples can be reasonably assumed to be random. OC. The population is given to be normally distributed. OD. The sample sizes are large (both greater than or equal to 30). O E. The sample sizes are not more than 5% of the population. :) Does the evidence suggest that community college transfer students take longer to attain a bachelor's degree? Use an a= 0.10 level of significance.…
8. Which methods are appropriate for categorical data? f. K-means clustering b. Logistic regression g. Linear regression h. Naïve Bayes i. Map/Reduce a. T-test c. Association rules d. Decision Trees e. Hive j. Pig
O O O Less than 8 8. A sample of 400 Goshen households is selected and several variables are recorded. Which of the following statements is correct? * O Total household Income is a ratio level data. Socioeconomic status (recorded as "low income", "middle income", or "high income" is nominal level data. O The number of people living in a household is a continuous variable. O The primary language spoke in the household is ordinal level data.
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using the excel data ... College Student Weekly Earnings in Dollars (n = 5) Hours Worked (X) Weekly Pay (Y) (xi - x̅)2 (yi - y̅)2 (xi - x̅)(yi - y̅) 11 95 16 173 22 210 18 157 30 270 x̅=?????? y̅=??????? SSxx SSyy SSxy
Activity 3.2. INFORMATION FROM CONTIGENCY TABLES • A group of patients were classified in terms of their smoking habits and the incidence of hypertension. Table 3 shows the distribution of the patients along the two variables. Hypertension Smoking Habits With Without Non-smokers 6 Moderate smokers 15 10 Heavy smokers 9 6 • Copy and complete the crosstabulation.
Attention: These data are different from your previous questions! Now Lynn takes a different approach. They collect another two samples - GPA from students taking a semester of in-class courses, and then the same students' GPA when they are taking a semester of online courses. The data set is below. They predict that they will find a difference between in-class GPA and online GPA for the same students. Differences Between GPA's Student In Class GPA Online GPA Amy 4.0 3.5 Brad 3.5 2.2 Caroline 3.7 2.0 Dan 3.5 3.5 Emily 3.6 3.3 Frank 3.2 3.2 George 3.3 2.1 What is the t-statistic for this t-test? (Round to 2 decimal places.)
The basic hypothesis is that people who play sports are more likely than others to watch sport on TV. Your first task is to crosstabulate the data involving the playing and watching of sports and to determine the direction and strength of that relationship. Write out your findings about this basic relationship. Your next task is to determine the direction and strength of the partial relationships when you control for the gender of individuals.
Mr. James, president of Daniel-James Financial Services, believes that there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, he gathered the following information from a sample of clients for the last month. Let X represent the number of times that the client was contacted and Y represent the valye of sales ($1000) for each client sampled. Number of Contacts (X) Sales ($1000) 14 24 12 14 20 28 16 30 23 30 b) compute the correlation coefficient and coeffcient of determination. Interpret the coefficients.
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