Predictive Analytics Practice Questions With Answers

To understand the past

To predict future outcomes

To describe current situations

To clean the data

It ensures the quality of the data used for analysis.

It predicts future outcomes.

It visualizes the data.

It estimates the relationships among variables.

It selects the most relevant features for model building.

It cleans the data.

It visualizes the data.

It estimates the relationships among variables.

A technique for assessing how the results of a statistical analysis will generalize to an independent data set

A technique for cleaning the data

A technique for visualizing the data

A technique for estimating the relationships among variables

To determine the effectiveness of a predictive model

To clean the data

To visualize the data

To estimate the relationships among variables

It measures the performance of a classification model.

It cleans the data.

It visualizes the data.

It estimates the relationships among variables.

Regression analysis

Descriptive analysis

Data cleaning

Data visualization

To visualize the performance of an algorithm

To clean the data

To predict future outcomes

To estimate the relationships among variables

Overfitting is when the model performs well on the training data but poorly on the test data, while underfitting is when the model performs poorly on both.

Overfitting is when the model performs poorly on the training data but well on the test data, while underfitting is when the model performs well on both.

Overfitting is when the model performs well on both the training data and the test data, while underfitting is when the model performs poorly on the training data but well on the test data.

Overfitting is when the model performs poorly on both the training data and the test data, while underfitting is when the model performs well on the training data but poorly on the test data.