Machine Learning Algorithms — Part 2 MCQs with Explanations

To find optimal solutions is the correct answer to “In machine learning, what is the primary objective of a genetic algorithm”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

To classify images based on features is the correct answer to “What is the primary purpose of a convolutional neural network (CNN) in machine learning”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

Recurrent Neural Network (RNN) is the correct answer to “Which machine learning algorithm is commonly used for time series forecasting and predicting stock prices”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

Data Splitting is the correct answer to “In machine learning, what is the term for the process of splitting the dataset into three parts: training, validation, and testing sets”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

To group similar data points is the correct answer to “What is the primary purpose of a k-means clustering algorithm in machine learning”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

qplot is the correct answer to “Which of the following can be used to create the most common graph types”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

gamBoost is the correct answer to “Which of the following library is used for boosting generalized additive models”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

quantmod is the correct answer to “Which of the following is used to assist the quantitative trader in the development”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

False is the correct answer to “Model based prediction considers relatively easy version for covariance matrix.”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

Boosted trees is the correct answer to “Which of the following model sums the importance over each boosting iteration”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

False positive=correctly identified is the correct answer to “Point out the wrong combination.”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

All of the mentioned is the correct answer to “Which of the following is correct use of cross validation”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

gamBoost is the correct answer to “Which of the following is statistical boosting based on additive logistic regression”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

False is the correct answer to “True positive means correctly rejected.”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

All of the mentioned is the correct answer to “Which of the following is a common error measure”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

all of the mentioned is the correct answer to “Which of the following package tools are present in caret”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

scale is the correct answer to “Which of the following argument is used to set importance values”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

maxDissim is the correct answer to “Which of the following can be used to create sub–samples using a maximum dissimilarity approach”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

True is the correct answer to “The preProcess class can be used for many operations on predictors.”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

all of the mentioned is the correct answer to “Which of the following method options is provided by train function for bagging”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

createDataPartition is the correct answer to “Which of the following function can be used to create balanced splits of the data”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

True is the correct answer to “caret stands for classification and regression training.”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

False is the correct answer to “For k cross-validation, larger k value implies more bias.”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

True is the correct answer to “For most classification models, each predictor will have a separate variable importance for each class.”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

In sample error < out sample error is the correct answer to “Which of the following expression is true”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

True is the correct answer to “The function preProcess estimates the required parameters for each operation.”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

Can help with bias trade-off is the correct answer to “Which of the following is correct about regularized regression”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

SVG is the correct answer to “Which of the following is not a machine learning algorithm”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

False is the correct answer to “Predictive analytics is same as forecasting.”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

gradient boosting is the correct answer to “Which of the following is one of the largest boost subclass in boosting”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

Accuracy is the correct answer to “Which of the following is a categorical outcome”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

predict.classDist is the correct answer to “Which of the following function is used to generate the class distances”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

True is the correct answer to “The advantage of using a model-based approach is that is more closely tied to the model performance.”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

questions → input data → algorithms is the correct answer to “Which of the following is correct order of working”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

ROC is the correct answer to “Which of the following curve analysis is conducted on each predictor for classification”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

Random forest are difficult to interpret but often very accurate is the correct answer to “Which of the following is correct with respect to random forest”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

True is the correct answer to “For k cross-validation, smaller k value implies less variance.”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

False is the correct answer to “The principal components are equal to left singular values if you first scale the variables.”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

nearZeroVar is the correct answer to “Which of the following function can be used to identify near zero-variance variables”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.

preProcess is the correct answer to “Which of the following can be used to impute data sets based only on information in the training set”. This question is standard in competitive examination syllabi for Machine Learning Algorithms.