FREE Master of Data Science Machine Learning Questions and Answers
Identify the incorrect statement.
Data from both training and testing must be treated similarly.
When making predictions, trees examine each set of data's .
When making predictions, trees examine each set of data's .
Which of the subsequent functions can be used to maximize the minimal differences?
The total number of differences can be increased by using sumDiss.
The evimp function in the ______ package is wrapped in varImp.
Multivariate Adaptive Regression Splines by Jerome Friedman are implemented in the earth package.
Identify the incorrect statement.
The mechanism used to generate the data occasionally produces predictors with just one distinct value.
Which of the aforementioned functions wraps various lattice graphs to display the data?
Caret employs featurePlot to visualize data.
Identify the incorrect statement.
Generalization error is another name for out of sample error.
Which of the following exhibits the proper relative importance?
Question: The starting point is to define the specific questions or problems that need to be answered or addressed through data analysis. Data: Once the questions are defined, relevant data is collected and prepared for analysis. High-quality and relevant data are essential for accurate and meaningful results. Features: After obtaining the data, relevant features or attributes are extracted or selected from the data. These features act as inputs to the algorithms. Algorithms: With the data and features in place, appropriate algorithms are applied to analyze the data, extract patterns, make predictions, or perform any specific task to answer the defined questions.So, the correct relative order of importance is Question -> Data -> Features -> Algorithms.
Which of the following uses additive logistic regression as the foundation for statistical boosting?
Model-based boosting is done using mboost.
Which of the following options for a bagging method does the train function offer?
Using the bag function also permits bagging.
Which of the following functions is capable of producing the indices needed for the time series splitting type?
Techniques used in rolling forecasting are related to the splitting of time series.
Identify the incorrect statement.
The optimal method for resampling time series data is probably not just random sampling.
Which of the following statements about random forest is accurate?
The best prediction algorithm is random forest.
Which of the following can be used to a collection of data to produce balanced cross-validation groupings?
Simple bootstrap samples can be created with createResample.
Which of the following best describes the proper working order?
Questions: The process begins with defining the specific questions or problems that need to be answered or addressed through data analysis. These questions guide the entire analysis and help determine the relevant data and the approach to be used. Input Data: Once the questions are defined, relevant data is collected and prepared for analysis. Data collection can involve various methods, including surveys, experiments, web scraping, or accessing existing datasets. Algorithms: After obtaining the data, appropriate algorithms are selected and applied to analyze the data, extract patterns, make predictions, or perform any specific task to answer the defined questions. So, the correct order of working is: Questions -> Input Data -> Algorithms
Identify the incorrect statement.
The model fitting method is chosen through the application of a nonpara argument.