ISYE-6501 Exam 1 Questions And Answers With Verified Updates
17 views 0 purchase
Course
ISYE-6501
Institution
ISYE-6501
Data point - Observation/record of (perhaps multiple) measurements for a single member of a
population or data set. In the standard tabular format, a row of data.
Bayesian Information criterion (BIC) - Model selection technique that trades off model fit and
model complexity. When comparing model...
ISYE-6501 Exam 1
Data point - Observation/record of (perhaps multiple) measurements for a single member of a
population or data set. In the standard tabular format, a row of data.
Bayesian Information criterion (BIC) - Model selection technique that trades off model fit and
model complexity. When comparing models, the model with lower BIC is preferred. Generally penalizes
complexity more than AIC.
1-norm (rectilinear distance, Manhattan distance) - Think of distances in blocks E (|xi - yi|)
Accuracy - Fraction of data points correctly classified by the model.
(TP + TN)/(TP + TN + FP + FN)
Additive Seasonality - Seasonal effect that is added to a baseline value (for example, "the
temperature in June is 10 degrees above the annual baseline").
Adjusted R-squared/Adjusted R2 - Variant of R2 that encourages simpler models by penalizing the
use of too many variables.
Akaike information criterion (AIC) - Model selection technique that trades off between model fit
and model complexity. When comparing models, the model with lower AIC is preferred. Generally
penalizes complexity less than BIC.
Algorithm - a step-by-step procedure designed to carry out a task
Area under curve/AUC - Area under the ROC curve; an estimate of the classification model's
accuracy. Also called concordance index.
, Attribute/Covariate/Feature - A characteristic or measurement - for example, a person's height or
the color of a car. Generally interchangeable with "feature", and often with "covariate" or "predictor". In
the standard tabular format, a column of data.
Autoregression - Regression technique using past values of time series data as predictors of future
values.
Autoregressive integrated moving average (ARIMA) - Time series model that uses differences
between observations when data is nonstationary. Also called Box-Jenkins.
Bayesian regression - Regression model that incorporates estimates of how coefficients and error
are distributed.
Binary data - Data that can take only two different values (true/false, 0/1, black/white, on/off,
etc.).
Box and whisker plot - Graphical representation data showing the middle range of data (the
"box"), reasonable ranges of variability ("whiskers"), and points (possible outliers) outside those ranges.
Box-Cox transformation - Transformation of a non-normally-distributed response to a normal
distribution.
Branching - Splitting a set of data into two or more subsets, to each be analyzed separately.
CART - Classification and regression trees.
Categorical data - Data that classifies observations without quantitative meaning (for example,
colors of cars) or where quantitative amounts are categorized (for example, "0-10, 11-20, ...").
Causation - Relationship in which one thing makes another happen (i.e., one thing causes
another).
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller ACADEMICMATERIALS. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $7.99. You're not tied to anything after your purchase.
