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ISYE 6501 Questions Exam 2. 100% Accurate. Graded A+ 
 
 
Overfitting 
If you have less data than features, what is likely to occur? 
 
 
Fitting random effects 
What can too many factors lead to? 
 
 
Simple Models 
Reducing variables will result in
ISYE 6501 Midterm Exam Questions & Answers, 100% Accurate. RATED A+ 
 
 
What does SVM stand for? - -Support Vector Machine 
 
Is written text structured or unstructured? - -Unstructured 
 
When we increase the sum of the square of the coefficients we... - -Decrease the distance between the lines 
 
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ - -margin and errors
NURS 6501 Final Exam Questions and answers, 100% Accurate. Graded A+ 
 
 
What is the role of the primary care provider in mental health? - -- Screen for mental health issues 
- Improve outcomes and reduce health care costs 
- Assess and give care to mild-moderate disorders or patients with stable severe mental disorders 
- From strong links with mental health specialty care for complex cases 
Sharing patient info (ex: meds used) 
 
about PHQ2 
- what does it screen for, what are the questions, ...
ISYE 6501 - Midterm 1. Top Exam Questions & Answers. Rated A+ 
 
 
What do descriptive questions ask? 
What happened? (e.g., which customers are most alike) 
 
 
What do predictive questions ask? 
What will happen? (e.g., what will Google's stock price be?) 
 
 
What do prescriptive questions ask? 
What action(s) would be best? (e.g., where to put traffic lights) 
 
 
What is a model? 
Real-life situation expressed as math. 
 
 
What do classifiers help you do? 
differentiate 
 
 
What is a sof...
ISYE 6501 Final Exam Questions and answers, 100% Accurate. 
 
 
Factor Based Models 
classification, clustering, regression. Implicitly assumed that we have a lot of factors in the final model 
 
 
Why limit number of factors in a model? 2 reasons 
overfitting: when # of factors is close to or larger than # of data points. Model may fit too closely to random effects 
 
simplicity: simple models are usually better 
 
 
 
Classical variable selection approaches 
1. Forward selection 
 
2. Backward...
ISYE 6501 - Midterm 2 Exam Questions and answers, 100% Accurate. Rated A+ 
 
 
when might overfitting occur 
when the # of factors is close to or larger than the # of data points causing the model to potentially fit too closely to random effects 
 
 
Why are simple models better than complex ones 
less data is required; less chance of insignificant factors and easier to interpret 
 
 
what is forward selection 
we select the best new factor and see if it's good enough (R^2, AIC, or p-value) add...
ISYE 6501 Final Exam Questions and answers, 100% ACCURATE. RATED A+ 
 
 
Factor Based Models 
classification, clustering, regression. Implicitly assumed that we have a lot of factors in the final model 
 
 
Why limit number of factors in a model? 2 reasons 
overfitting: when # of factors is close to or larger than # of data points. Model may fit too closely to random effects 
 
simplicity: simple models are usually better 
 
 
 
Classical variable selection approaches 
1. Forward selection 
 
2....
ISYE 6501 - Midterm 2, Exam Questions and answers. Rated A+ 
 
 
when might overfitting occur 
when the # of factors is close to or larger than the # of data points causing the model to potentially fit too closely to random effects 
Why are simple models better than complex ones 
less data is required; less chance of insignificant factors and easier to interpret 
what is forward selection 
we select the best new factor and see if it's good enough (R^2, AIC, or p-value) add it to our model and f...
ISYE 6501 Midterm 1. Exam Questions and answers. Graded A+ 
 
 
Rows - -Data points are values in data tables 
 
Columns - -The 'answer' for each data point (response/outcome) 
 
Structured Data - -Quantitative, Categorical, Binary, Unrelated, Time Series 
 
Unstructured Data - -Text 
 
Support Vector Model - -Supervised machine learning algorithm used for both classification and regression challenges. 
Mostly used in classification problems by plotting each data item as a point in n-dimensio...
Question 1 
10 out of 10 points 
Name 1) the veins that enter the right atrium; name 2) those that enter 
the left atrium. For each, where does the blood come from?Name 3) the 
artery that leaves the right ventricle; name 4) the artery that leaves the 
left ventricle. For each, where is the blood going?5) Explain why the heart 
is considered a double pump. 
Selected 
Answer: 
1. Caval veins - return deoxygenated blood from the body to the right atrium. 
2. pulmonary veins - receives oxygenated b...