Comprehensive Guide to Data Mining and Statistical Analysis Concepts

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Computer Science - Software Engineering

user_lira_cofre Created by 7 mon ago

Cards in this deck(26)

In the Cross-Industry Standard Process for Data Mining, the phase where data wrangling occurs is known as _____.

The first phase in the Cross-Industry Standard Process for Data Mining is _____.

To make observations unit-free by reducing the difference in scale in variables, Tess is using a process called _____.

The average absolute percentage error, shown as a percentage of the actual value, is known as _____.

The process of dividing a data set into training, validation, and test data sets is called _____.

Principal Component Analysis (PCA) is best defined as the transformation of a large number of correlated variables into a smaller number of _____.

A chart that measures the effectiveness of a predictive model, containing both a baseline and a lift curve, is called a _____.

A chart that determines how well a model performs in terms of sensitivity and specificity is known as a _____.

Which chart allows for the categorization of large data sets from high to low values, dividing sets of observations into an easy visual representation of the data?

To predict whether it is a good day to go golfing using categorical weather conditions, Kurt would most likely use a _____ classifier.

XYZ streaming services uses the _____ method to provide programming recommendations to their customers.

To ensure consistency in partitioning her data set, Marta needs to program the function _____ to fix a random seed.

Characteristics of the Naive Bayes method include: all predictor variables are _____, all predictor variables are independent, and it does not capture possible interactions between predictor variables.

Two packages that provide the necessary functions for partitioning data are _____ and _____.

To overcome the problem of zero probability estimates in Naive Bayes, the algorithm uses a technique called _____.

An _____ diagram is made up of nodes and arrows, starting with the final target output and decomposing the decision to show how variables are influenced by input variables at each level.

Excel's goal scenario manager allows you to create and compare _____ based on multiple input variables.

In data validation, to ensure only certain options can be selected for a particular cell, you would choose the _____ option.

An example of a continuous random variable is the _____.

Serena does not need to run a risk analysis on a scenario with certainty, such as _____.

An example of a discrete random variable is the _____.

To generate random observations for weekly demand for ventilators, Axel will use an _____ probability distribution.

To generate random observations for the expected amount of time between customer purchases, Evelyn will use an _____ probability distribution.

In R, the function used to generate random observations from the exponential distribution is _____.

To identify potential patterns in historical data without knowing the distribution, Finn could use a _____.

The Monte Carlo simulation is also known as a _____ and _____ simulation.

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Comprehensive Guide to Data Mining and Statistical Analysis Concepts

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