MCQ IN COMPUTER SCIENCE & ENGINEERING

COMPUTER SCIENCE AND ENGINEERING

MACHINE LEARNING

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

After the data has completed the feature engineering operation, in the process of constructing the model, which of the following options is not a step in the decision tree construction process?

A	Pruning
B	Feature selection
C	Data cleaning
D	Decision tree generation

Explanation:

Detailed explanation-1: -Exploratory Analysis: Exploratory analysis or Exploratory data analysis (EDA) is an important step of features engineering, which is mainly used by data scientists. This step involves analysis, investing data set, and summarization of the main characteristics of data.

Detailed explanation-2: -Feature engineering is the process of selecting, transforming, extracting, combining, and manipulating raw data to generate the desired variables for analysis or predictive modeling. It is a crucial step in developing a machine learning model.

Detailed explanation-3: -Feature construction involves transforming a given set of input features to generate a new set of more powerful features which can then be used for prediction (sometimes these are called “derived” features).

There is 1 question to complete.