ISA 591 Midterm

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Computer Science - Artificial Intelligence

mmoranwkf Created by 7 mon ago

Cards in this deck(81)

What type of plot displays data along a number line?

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Which plot is used for a single numeric variable?

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Which plot is useful to detect outliers in a single numeric variable?

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What type of plot shows the relationship between two numeric predictor variables?

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What is the term for combining multiple plots into one?

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What encapsulates variables and functions into a single entity?

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What provides a way to group information into a single unit?

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What contains methods (functions) and attributes (values)?

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What are functions that are attached to objects called?

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What are values or constraints that do not require calculations called?

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What enables classes to implement functions?

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What type of learning involves the outcome of interest (response, target) being known?

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What type of learning occurs when there is no outcome variable to predict or classify?

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What is the goal of supervised learning?

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What type of learning uses training data where the target value is known?

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Which learning method uses classification and regression methods?

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What is the goal of unsupervised learning?

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When should unsupervised learning be used?

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Which methods are associated with unsupervised learning?

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What is the goal of the supervised learning method known as classification?

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What is the goal of the supervised learning method known as regression?

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What is the goal of the unsupervised learning method known as association rules?

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What is the goal of the unsupervised learning method known as collaborative filtering?

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What is the goal of the unsupervised learning method known as data reduction?

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What is the goal of the unsupervised learning method known as visualization?

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What are the steps in the data mining process?

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What is numpy and what does it provide?

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What are interpreted languages and give examples?

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What are compiled languages and what is their advantage?

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What does numpy allow you to do in terms of code execution speed?

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What is pandas and what is its primary use?

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What are things to check for in bar charts?

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What is the purpose of reducing dimensions?

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What is the goal of modeling in data science?

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What are the characteristics of linear regression?

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What are the characteristics of a random forest model?

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What are the characteristics of Extreme Boosting (XGBoost)?

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What are the characteristics of neural networks?

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What are considerations to remove variables?

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How do categorical variables contribute to model degrees of freedom?

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How do numeric variables contribute to model degrees of freedom?

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What is the purpose of exploratory data analysis?

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When is dummy encoding used?

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When is label encoding used?

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What is one hot encoding and when is it used?

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What is imputation of numeric variables?

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How can categorical variables be imputed?

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What are missing value indicator variables?

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What are transformations and why are they used?

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What is dimension reduction and why is it used?

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What are methods for reducing the number of levels in categorical variables?

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What is principal component analysis used for?

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What does PC stand for in the context of principal component analysis?

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What does S represent in the context of explained variation?

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What does V represent in the context of principal component analysis?

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What is the residual error in the context of predictive modeling?

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What is the most common metric for model evaluation, where lower values are better?

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What is the square root of the Mean Squared Error (MSE) called?

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What does MAE stand for in model evaluation?

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What does MAPE measure in model evaluation?

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What is a confusion matrix used for?

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What does 'true negative' mean in a confusion matrix?

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What does 'false positive' mean in a confusion matrix?

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What does 'false negative' mean in a confusion matrix?

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What does 'true positive' mean in a confusion matrix?

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What does accuracy measure in model evaluation?

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What does error measure in model evaluation?

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What does recall/sensitivity/TPR measure?

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What does specificity measure?

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What does precision measure?

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What is class imbalance?

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What is propensity modeling used for?

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What does an ROC Curve plot?

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What does AUC measure?

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What does lift tell you in model evaluation?

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What are the two types of supervised learning?

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What type of problem is it when you need to predict the median_home_price of a district?

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What type of problem is it when you need to predict whether a bank customer will declare bankruptcy soon?

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True/False: When there is no outcome variable to predict or classify, this is called unsupervised learning.

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True/False: The first step in any data mining project is to obtain the data.

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What is the primary purpose of a propensity model?

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