Explain Intentionally Bias the Model to Over-Fit or Under-Fit with code?

Explain the flaws in this model training strategy. What's your solution? We want to create a hip X-Ray deformity prediction model. 100 individuals have 640 frontal X-rays. Three orthopedic physicians label the photos as positive or negative for hip deformity. The picture dataset was randomly divided among 80% training (training and validation) and 20% testing.

PCA tried to find new basis vectors (axes) that maximize the variance of the instances. Is True or False?

The model usage time of k-nearest neighbor method is sensitive to the dataset size (i.e. amount of training/stored data). When the dataset is large, the model usage time could be prohibitively long. Suggest TWO reasonable ways to reduce the required large amount of similarity computation and comment on their effectiveness.

Q.Explain the functionality of the quadrant approach in the Spiral Model ?

1) How to do cross-validation 5 folds using Matlab. Any examples of the looping code. 2) Correct code to display ROC curve in Matlab. 3) How to cluster two different sets of data using Matlab?

Take the Absenteeism at work Data Set, obtained from the UC-Irvine Machine Learning Data Repository, as a data set to be discretized. Perform data discretization for two of the numerical attributes using the Equal-Width or EqualFrequency method. (Let the stopping criteria be max-interval = 4). You need to write a small program to do this to avoid clumsy numerical computation. Submit your simple analysis and your test results: split points, final intervals, and your documented source program.

Problem 6: Suppose, you are given with a dataset of 5,000 images. Split the dataset into Training and Validation set using 6-fuld cross validation. Hint: How many images will be in training set and how many in validation set.

I need to plot the data from a simple linear regression with its values x and y with the fitted y values from fitting a logistic regression model. How do I plot the x values with two different y's, y values on the left side with fitted y values on the right? I want to generate the fitted/predicted y values using logistic regression and then create a plot using all those three variables? Here is an example of my SAS code that doesn't work. data coupons;input redeemed discount;cards;100 5147 9176 11211 13244 15277 17310 19343 21;run; ods graphics on;proc logistic data=coupons;model redeemed(event='1') = discount;effectplot;run; It give me this warnings and I do not understand…. NOTE: Option EVENT= is ignored since LINK=CLOGIT. NOTE: PROC LOGISTIC is fitting the cumulative logit model. The probabilities modeled are summed over the responses having the lower Ordered Values in the Response Profile table. Use the response variable option DESCENDING if you want to reverse the assignment of…

If you have a dataset with small number of examples and very high number of features, in your ML, is the best choice to use gradient descent or normal equation? Why?