Data Consistency in Measurements Quiz

30 Questions

What is the key difference between PCA and Factor Analysis (FA) in terms of the number of axes?

The number of axes in PCA is equal to the number of variables, while in FA it is limited to a few factors.

What is the purpose of data discretization?

To group numerical data into categories for analysis.

In equal width binning, how is the data sorted for grouping?

From smallest to largest.

What does equal depth binning ensure?

Equal proportions of data in each category.

What is one common issue caused by outliers in data analysis?

Causing skewedness and affecting the distribution.

How does equal width binning handle skewed data?

It replaces skewed data with median values.

What is the purpose of checking if scales are similar for columns with measurements?

To ensure consistency in the units of measurement

What is the main objective of Model Planning in the software for Data Pre-Processing?

Determine methods and workflow for model building

What is the function of the testing set in Model Building phase?

To establish the accuracy of the model

In geospatial datasets, why is it important to check if abbreviations of locations are consistent?

To ensure accurate geographic referencing

What differentiates the testing set from the training set in Model Building phase?

Training set helps the algorithm learn, while testing set evaluates model accuracy

What role does Model Building phase play in developing datasets for production?

It allows testing of the final model with live data

What is the percentage of errors in the predictions?

8.5%

Which attribute was identified as having the best ability to increase group homogeneity?

Income

What percentage of rows remain after removing 37 from a total of 600?

93.83%

What is the likelihood of an individual saying 'yes' in the group with income greater than $51,284.3?

80%

When using 'Region' as the attribute for splitting, what percentage of rows are involved?

20.83%

How many rows are left after considering 'Age' as an attribute?

What is the main disadvantage of increasing the number of epochs to an infinite number?

Increased validation loss

In what scenario is SVM preferred over ANN?

Nonlinearly separable data

What transformation is needed to move from a linear to a nonlinear boundary in SVM?

Data transformation into higher dimensional space

How do kernel methods help in SVM?

They transform data into higher dimensional spaces for easier separation

Why are ensemble classification techniques considered better than decision trees?

They combine multiple models for improved accuracy and robustness

How is the relationship between soloist and orchestra analogous to the relationship between decision trees and ensembles?

Ensembles generally outperform an individual decision tree

What is the main purpose of a perceptron in classification?

To determine the class of a data point based on a separating line

In the context of support vector machines, what do support vectors represent?

Vectors used to define the plane separating two classes

What is a common characteristic of an invalid line in classification using a perceptron?

It passes through both red and green dots

Why are the input values normalized before being input into the perceptron for classification?

To ensure equal dispersion of values

What happens when a data point has a negative number output after being input into the perceptron?

It is classified as belonging to the 'No' category

How is a perceptron line used to classify data points?

By determining which side of the line a point falls on

Test your knowledge on ensuring consistency in units of measurements for columns such as income, height, time, and geospatial datasets. Check if scales, units, and abbreviations are similar and appropriate throughout the data.

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