Basic ML Concepts & Syntax Quiz

How to evaluate model performance in sklearn?

• evaluate()

• r2()

• score()

What is the recommended value for ANSWER?

train_test_split(X,y, test_size=ANSWER)

• 0

• 0.2

• 0.9

What does ML stand for?

• Mega Loop

• Mind Language

• Machine Learning

• Mathematical Logic

Which library in Python is commonly used for implementing machine learning algorithms like linear regression?

• matplotlib

• scikit-learn

• pandas

• numpy

What is the purpose of linear regression in ML?

• Linear regression is used to classify data points into categories.

• Linear regression is used to model the relationship between variables and make predictions.

• Linear regression is used to calculate the mean of a dataset.

• Linear regression is used to perform clustering analysis on datasets.

How can missing values in a dataset be handled?

• Replace with Central tendency (mean, median, mode)

• Delete columns with missing values

• Drop Rows where you have missing values

• All answers are correct

What does the train-test split function do in ML?

• It combines the training and testing sets

• It shuffles the dataset randomly

• It divides the dataset into training and testing sets.

• It removes outliers from the dataset

Which class is used to replace missing values in a dataset using sklearn?

• SimpleImpute

• replacena

• fillna

• dropna

What function from Scikit-learn is used to split a dataset into training and testing sets?

• split_data()

• train_test_split()

• separate()

• divide_data()

Why is it important to drop duplicates in a dataset before training a model?

• To confuse the model and test its robustness

• To increase the dataset size for better accuracy

• To remove redundant data points that can skew the model's learning process and introduce bias on the unseen data(test_set)

• To introduce noise for more diverse training