Bundle of ISYE 6501 Exams - Questions with Correct Solutions

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 Forbidden Factors Things that cannot be used due to legal requirements Exploration Gathering more data to devel...

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...

Support Vector Machine - A supervised learning, classification model. Uses extremes, or identified points in the data from which margin vectors are placed against. The hyperplane between these vectors is the classifier SVM Pros/Cons - Pros: It works really well with a clear margin of separation ...

Classification problems are commonly solved using what model(s)? - Support Vector Machine Clustering problems are commonly solved using what model(s)? - k-means Response Prediction questions are commonly solved using what model(s)? - -ARIMA -CART -Exponential smoothing -linear regression -log...

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 ___ - m...