Assume that the entire sample has 2 positive observations and 6 negatives observations. Variable X1: at the left branch has 2 positive observations and 4 negatives observations; at the right branch has 6 positive observations and 6 negatives observations. What is the information gain or reduction in uncertainty of X1 using the Gini index? (round to two decimal spaces)

Q: is this statement true? When outliers are important then it is important not to change the current…

A: answer is

Q: Using Python for the attached equation for Linear Regression Training and Error Variance Estimation.

A: SOLUTION-I have solved this problem in python code with comments and screenshot for easy…

Q: Develop a relationship between the mean and variance of the within-class and between-class…

A: The question has been answered in step2

Q: If the tail is pulled out toward the higher end of the distribution (or situated to the right), the…

A: As we know that right-skewed distribution has a long tail in the right hand side and Right-skewed…

Q: CLT: Distribution of Sample Proportion Problem#3 13. A simple random sample of size = 1,000 is…

A: Answer is given below

Q: I need help with my MATLAB code. I wanted to numerically integrate the Modified Rodrigiues…

A: The MATLAB code you provided is used to numerically integrate the Modified Rodrigues Parameters…

Q: f(t) = sin(wt + 4) using the data below. t f(t) 0.0 0.53 0.1 0.73 0.2 0.91 0.5 0.92 0.6 0.83 0.7…

A: The correct solution for the above mentioned question is given in the next steps for your reference

Q: Determine an equation to predict metabolism rate as a function of mass based on the following…

A: We have to write MATLAB code for the given question.

Q: Consider the same house rent prediction problem where you are supposed to predict price of a house…

A: The solution to the above question is:

Q: Generate 900 samples of size 400 random numbers from Beta distribution with shape parameters a =…

A: Here Using R ,400 samples of size 625 random numbers from an Exponential distribution with lambda =…

Q: In R, write a function that produces plots of statistical power versus sample size for simple linear…

A: import pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport collections import…

Q: 1. Implement and plot a simple linear regression for the above data, where the temperature is “x",…

A: Linear regression is used to predict analysis between the components. Explanation: In the main…

Q: 1. Suppose that a set of samples x1, x2, ..., xn, all real numbers, are drawn i.i.d. from the same…

A: Note: Answering the first question as per the guidelines. Input : Set of samples: x1,x2, ...., xn…

Q: A histogram is plotted to get an idea of the probability distribution for a feature in a dataset.…

A: A histogram is a visual depiction of data spread in statistics. The histogram is shown as a…

Q: In a normal distribution: The shape of the distribution is       ["", ""]  , the dispersion is…

A: Normal distributions are also called Gaussian distributions or bell curves because of their shape.…

Longest Common Subsequence

The Longest Common Subsequence (LCS) is defined as the longest subsequence that is shared by all of the given sequences, assuming that the subsequence's elements do not have to be in consecutive locations in the original sequences. It is used in the areas like bioinformatic, revision control systems like SVN and Git.