Define silhouette coefficient? Explain the interpretation of it as per your understanding with an example. The Centroid for 4 data points was found to be (9,7,6). Given below are three of the 4 points, find the 4th point. Explain each step.    P1 = (9,8,7) P2 = (7,6,5) P3 = (10,8,6) P4 = (?, ?, ?)

Q: 01: Plot the following functions in MATLAB, as illustrated Fig 1. Z1=sin(xy), Z2= cos(xy), Z3=/x2 +…

A: ANSWER:-

Q: How do i use matlab to read a csv and use the information and plot it into a graph. I have attached…

A: The solution for the above-given question is given below:

Q: Linear Regression Implement Linear Regression on the given Dataset. You need to implement gradient…

A: K-fold cross-validation occurs when the data set is divided into K folds and is used to evaluate the…

Q: Which of the following are true about principal components analysis (PCA)? Assume that no two…

A: In data analysis and machine learning, Principal Component Analysis (PCA) is a statistical approach…

Q: According to the k-means++ initialization scheme, which sort of observation has a higher probability…

A: K-means++ is an enhancement to the traditional k-means clustering algorithm, designed to improve the…

Q: e) What are the methods to convert a categorical output data for using an Artificial Neural Network…

A: Since you have asked multiple questions, we will solve the first question for you. If you want any…

Q: A model is likely to be overfitting if it has a low bias O high bias O high variance O low variance

A: The question has been answered in step2

Q: In a dataset, there are 1000 samples from apples and oranges. The dataset is split into two parts as…

A: Since 5 actual apples are classified as oranges hence b = 5similarly 40 oranges are classified as 40…

Q: Suppose we use Adaboosting with linear classifers to classify between red and green points, and in…

A: Decision Boundary : Decision boundary is a curve that separates the data points of one class from…

Q: Consider a dataset with 150 samples, labeled using two labels, L1 and L2. Out of 150 samples, 26 are…

A: solution:-

Q: I need to plot the vector r(t)=tsin(t)î+(2+tcos(t))j with 0 <= t <= 6pi and assign the plot to q.…

A: in this question you have given matlab code and asked to find error. in the following steps you will…

Q: Draw a gaussian curve, including the probabilities of the areas under the gaussian curve, and…

A: A Gaussian curve, also known as a normal distribution curve, is a bell-shaped curve that represents…

Q: RM1.   I need the code for t-distribution in matlab by using trapezoid and Simpson composite to…

A: Dear learner, hope you are doing well, I will try my best to answer this question. Thank You!!

Q: If I have a dataset of quantitative attribute how can I find -> Q.) For every quantitative…

A: The ask is to write a python program to: compute exactly what percentage of instances are within one…

Q: Use the paired values below to create a perceptron to model the distribution. Assume that the paired…

A: First, we will declare the DATAX array and DATAY array. Then we will fir the model. And finally,…

Q: In what case we do regression testing.

A:

Q: plz answer all questions C. The data below shows results for three treatments and weight results…

A: In this question we have to create data frames and find the significant difference between the given…

Q: Write your own MATLAB function that performs Multiple-Trapezoid Integration. Use it to evaluate the…

A: In this question we have to write a MATLAB code for the Multiple-Trapezoid Integration Let's code…

Q: Explain what autocorrelation indicates . What are the main problems that autocorrelation creates for…

A: Autocorrelation The degree of correlation between two consecutive time intervals is referred to as…

Q: Cobduglus (after taking log to convert it into log-linear) 2. Estimate the linear model without log

A: According to the question the task is to estimate two models1. Cobduglus (after taking log to…

Q: We created some models for a dataset and, for each model we computed its R score. The results are…

A: Let us see the answer (introduction) : Models : Data pieces and their relationships are depicted…

Q: Consider a dataset with 10,000 rows. When we run an Apriori Analysis on this dataset, we get two…

A: Apriori Analysis is a popular algorithm used for association rule mining in data mining. It helps…

Q: what is the difference between a multpile regression modle and correlation using R-values

A: Multiple regression that can be define as that based on the two or more and another variable. In the…

Q: What Is The sample linear correlation?

A: Correlation is a term used to measure the similarity of two data's. It is also said how much the two…

Q: In using KNN for regression, the predicted value is the neighbours of its K nearest neighbours,…

A: Sol: Predicted value = mean                    Classification value = median

Q: One of the pre-loaded datasets in R looks at the vitamin C content in cabbages as a function of…

A: To calculate the omnibus F statistic for the full model, we first need to fit the model and obtain…

Q: independent and dependent variables.

A: NOTE: According to the guidelines of bartleby we can only answer one question.

Q: In this problem, we use the "breast cancer wisconsin dataset" from scikit-learn for training and…

A: Import the breast cancer dataset from scikit-learn and assign the features to the input data matrix…

Q: When we plot a line graph that shows the trend of a data series, it is possible that the line is…

A: Find the required answer with reason given as below :

Q: Computer Science Suppose we have 3 independent classifiers, each of which can correctly predict the…

A:

Q: With specific instances, describe two of the Chidamber and Kemerer measures.

A: Chidamber and Kemerer initially computed six measures for each class: WMC, DIT, NOC, CBO, RFC, and…

Q: (a)  Run the regression hrsempit = β0 + β1 grant it + β21( year = 1988) + β3Ei + uit where Ei is a…

A: (a) D-i-D regression with treatment indicator:

Q: Define the sigmoid and the tanh. For tanh you may use np. tanh and for the sigmoid use the general…

A: the sigmoid using given data in python is:-

Q: Compute the area under the curve (AUC) for this classifier and write it as a decimal number on [0,1]

A: Step 1: Step 2: Step 3: Step 4:

Q: Not all augmenting paths are equal, and starting with different paths leads to different residual…

A: Given that, Not all augmenting paths are equal, and starting with different paths leads to different…

Q: a) Draw the 2 dimensional feature space.

A: ANSWER (a): Two Dimensional Feature Space:

Q: The standard deviation measures the spread of the data about the mean value. It is useful in…

A: Mean of a set can be found using formula , mean  = sum of values/ total number of valuesi.e mean =…

Q: figure? A - 0 0 7,

A: The given problem is related to Matlab programming where the matrix is to be declared having 3 rows…

Q: In order to address scale dependency of the correlation formula Corrx,y ==x[n]y[n] use O Length…

A: The answer is given below.

Q: Use the mtcars dataset, provided by base R to plot 3 scatter plots in the same graph. The three…

A: for example, let us consider f(x)=cosec 2x f(x) has vertical asymptote where sin2x=0 therefore,x=n/2…

Q: 5. F(A, B,C,D, E) = E(0,2,3,4, 5, 6, 7, 11, 15, 16, 18, 19, 23, 27, 31) %3D 6. F = ABCE + ĀBCD + BDE…

A: simplify the following using k-map and compare it to Boolean simplification Minterm =…

Q: Normalise the following group of data using z score normalisation (200, 300, 400, 600, 1000) Which…

A: Given: We have to normalize the following group of data using z-score normalization to choose the…

Q: R2 over the training sample is 70% and the out-of-sample R2 over the test sample only - 30%. (select…

A: Input of 15 and finding average of positive numbers and summation of negative number