Machine learning MCQs (Chapterwise Multiple Choice Questions)

In statistics, what is defined as the probability of a hypothesis test of finding an effect - if there is an effect to be found?

Confidence

Alpha

Power

Significance

Answer & Explanation

Correct Answer: Power

Note: This Question is unanswered, help us to find answer for this one

What is conditional probability?

The probability that doing one thing has an impact on another thing

The probability that certain conditions are met

The probability that, based on certain conditions, something will always be incorrect

The probability of something being the correct answer

Answer & Explanation

Correct Answer: The probability that doing one thing has an impact on another thing

Note: This Question is unanswered, help us to find answer for this one

In relation to SVM classification algorithm. which of the following options is used for the binary classification?

Polynomial kernel

Radial Basis Function kernel

Sigmoid kernel

None of the above.

Answer & Explanation

Correct Answer: Sigmoid kernel

Note: This Question is unanswered, help us to find answer for this one

Which of the following frameworks can be used for cross-platform solutions?

TensorFlow

PyTorch

Caffe2

Try 1-2

Answer & Explanation

Correct Answer: Caffe2

Note: This Question is unanswered, help us to find answer for this one

You work for a website that helps match people up for lunch dates. The website boasts that it uses more than 500 predictors to find customers the perfect date, but many costumers complain that they get very few matches. What is a likely problem with your model?

Your training set is too large.

You are underfitting the model to the data.

You are overfitting the model to the data.

Your machine is creating inaccurate clusters.

Answer & Explanation

Correct Answer: You are overfitting the model to the data.

Note: This Question is unanswered, help us to find answer for this one

What is Q-learning reinforcement learning?

Supervised machine learning with rewards

A type of unsupervised learning that relies heavily on a well-established model

A type of reinforcement learning where accuracy degrades over time

A type of reinforcement learning that focuses on rewards

Answer & Explanation

Correct Answer: A type of reinforcement learning that focuses on rewards

Note: This Question is unanswered, help us to find answer for this one

Which of the following machine learning tools provides API for the neural networks?

Keras.io

Accors.net

Rapid Miner

Shogun

Answer & Explanation

Correct Answer: Keras.io

Note: This Question is unanswered, help us to find answer for this one

Which of the following types of data can be handled by the decision tree algorithm used for classification?

Numerical data

Categorical data

Both numerical and categorical data

Answer & Explanation

Correct Answer: Both numerical and categorical data

Note: This Question is unanswered, help us to find answer for this one

___ refers to a model that can neither model the training data nor generalize to new data.

Good fitting

Overfitting

Underfitting

All of the above

Answer & Explanation

Correct Answer: Underfitting

Note: This Question is unanswered, help us to find answer for this one

Which of the following formulae is used for correctly calculating the accuracy of the classification algorithms?

Accuracy: 2(True Positive + True Negative) I Total Population

Accuracy: (True Positive + True Negative) / Total Population

Accuracy: (True Positive + True Negative) / 2(Total Population)

Accuracy: (True Positive x True Negative) / Total Population

Answer & Explanation

Correct Answer: Accuracy: (True Positive + True Negative) / Total Population

Note: This Question is unanswered, help us to find answer for this one

Machine Learning Quick Quiz

Poor Results!

You need a lot of improvement.

Just don't give up!

Correct Answers: 0/10

Start Practicing with our MCQs given below.

Machine Learning MCQ

Machine Learning Quick Quiz

In statistics, what is defined as the probability of a hypothesis test of finding an effect - if there is an effect to be found?

What is conditional probability?

In relation to SVM classification algorithm. which of the following options is used for the binary classification?

Which of the following frameworks can be used for cross-platform solutions?

You work for a website that helps match people up for lunch dates. The website boasts that it uses more than 500 predictors to find customers the perfect date, but many costumers complain that they get very few matches. What is a likely problem with your model?

What is Q-learning reinforcement learning?

Which of the following machine learning tools provides API for the neural networks?

Which of the following types of data can be handled by the decision tree algorithm used for classification?

___ refers to a model that can neither model the training data nor generalize to new data.

Which of the following formulae is used for correctly calculating the accuracy of the classification algorithms?