# Recent questions tagged dataset

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When is an estimator $\hat{p}$ a consistent estimator?
When is an estimator $\hat{p}$ a consistent estimator?When is an estimator $\hat{p}$ a consistent estimator? ...
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What is cross-validation in data analysis?
What is cross-validation in data analysis?What is cross-validation in data analysis? ...
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What is the recommended type of dataset to be used in NOTEARS?
What is the recommended type of dataset to be used in NOTEARS?What is the recommended type of dataset to be used in NOTEARS? ...
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What is an outlier? How can outliers be determined in a dataset?
What is an outlier? How can outliers be determined in a dataset?What is an outlier? How can outliers be determined in a dataset? ...
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What is the dot plot of the dataset $A = \{5,5.5,6,6,6,6.5,6.5,6.5,6.5,7,7,8,8,9\}$?
What is the dot plot of the dataset $A = \{5,5.5,6,6,6,6.5,6.5,6.5,6.5,7,7,8,8,9\}$?What is the dot plot of the dataset $A = \{5,5.5,6,6,6,6.5,6.5,6.5,6.5,7,7,8,8,9\}$? ...
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How can we accurately and reliably predict a response variable from a set of covariates on a data set that differs in distribution from the training data?
How can we accurately and reliably predict a response variable from a set of covariates on a data set that differs in distribution from the training data? How can we accurately and reliably predict a response variable from a set of covariates on a data set that differs in distribution from the training ...
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What is a mode of a dataset?
What is a mode of a dataset?What is a mode of a dataset? ...
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What is the median of a dataset?
What is the median of a dataset?What is the median of a dataset? ...
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What is the mean of a dataset?
What is the mean of a dataset?What is the mean of a dataset? ...
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What is cross-validation?
What is cross-validation?What is cross-validation? ...
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How does one choose what estimator to use for P(y|W, T=t)?
How does one choose what estimator to use for P(y|W, T=t)?Trying to estimate the effect on a binary variable Y for a dataset with two confounders W that are within the parent set of the treatment variable T. ...
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What is the acronym MERS-CoV?
What is the acronym MERS-CoV?What is the acronym MERS-CoV? ...
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What is the treatment for MERS-COV?
What is the treatment for MERS-COV?What is the treatment for MERS-COV? ...
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What is the increase in the risk of respiratory disease after having childhood pneumonia.
What is the increase in the risk of respiratory disease after having childhood pneumonia.What is the increase in the risk of respiratory disease after having childhood pneumonia. ...
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Will DBSCAN always return the same clustering for different orderings of the same dataset?
Will DBSCAN always return the same clustering for different orderings of the same dataset?Assume you apply DBSCAN to the same dataset, but the examples in the dataset are sorted differently. Will DBSCAN always return the same clustering for ...
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What is the best model for inferring facts about the future, given a fixed dataset and computational budget?
What is the best model for inferring facts about the future, given a fixed dataset and computational budget?What is the best model for inferring facts about the future, given a fixed dataset and computational budget? ...
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What’s a feature vector?
What’s a feature vector? What&rsquo;s a feature vector? ...
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What percentage of childhood deaths are due to pneumonia?
What percentage of childhood deaths are due to pneumonia?What percentage of childhood deaths are due to pneumonia? ...
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What is an adjacency matrix in graph theory?
What is an adjacency matrix in graph theory?What is an adjacency matrix in graph theory? ...
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What is end point consolidation with regard to pneumonia diagnosis?
What is end point consolidation with regard to pneumonia diagnosis?What is end point consolidation with regard to pneumonia diagnosis? ...
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What cross validation technique would you use on time series data set? Is it k-fold or LOOCV?
What cross validation technique would you use on time series data set? Is it k-fold or LOOCV?What cross validation technique would you use on time series data set? Is it k-fold or LOOCV? ...
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What is going on? Haven’t you trained your model perfectly?
What is going on? Haven’t you trained your model perfectly?You’ve built a random forest model with 10000 trees. You got delighted after getting training error as 0.00. But, the validation error is 34.23. What ...
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Haven’t you trained your model perfectly?
Haven’t you trained your model perfectly?You’re asked to build a random forest model with 10000 trees. During its training, you got training error as 0.00. But, on testing the validation erro ...
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Write an SQL query that makes recommendations using the pages that your friends liked.
Write an SQL query that makes recommendations using the pages that your friends liked.Write an SQL query that makes recommendations using the pages that your friends liked. Assume you have two tables: a two-column table of users and the ...
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How can you handle duplicate values in a dataset for a variable in Python?
How can you handle duplicate values in a dataset for a variable in Python?How can you handle duplicate values in a dataset for a variable in Python? ...
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How are NumPy and SciPy related?
How are NumPy and SciPy related?How are NumPy and SciPy related? ...
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If a table contains duplicate rows, does a query result display the duplicate values by default? How can you eliminate duplicate rows from a query result?
If a table contains duplicate rows, does a query result display the duplicate values by default? How can you eliminate duplicate rows from a query result?If a table contains duplicate rows, does a query result display the duplicate values by default? How can you eliminate duplicate rows from a query res ...
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How do you handle missing or corrupted data in a dataset?
How do you handle missing or corrupted data in a dataset?How do you handle missing or corrupted data in a dataset? ...
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How would you handle an imbalanced dataset?
How would you handle an imbalanced dataset?How would you handle an imbalanced dataset? ...
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What cross-validation technique would you use on a time series dataset?
What cross-validation technique would you use on a time series dataset?What cross-validation technique would you use on a time series dataset? ...
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What is SMOTE used for?
What is SMOTE used for?What is SMOTE used for? ...
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What is a confusion matrix?
What is a confusion matrix?What is a confusion matrix? ...
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In a dataset, how is the feature matrix related to the response vector?
In a dataset, how is the feature matrix related to the response vector?In a dataset, how is the feature matrix related to the response vector? ...
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What antiviral treatments are used for hepatitis C infection?
What antiviral treatments are used for hepatitis C infection?What antiviral treatments are used for hepatitis C infection? ...
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How have the incidence Empyema been reduced?
How have the incidence Empyema been reduced?How have the incidence Empyema been reduced? ...
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When was the Middle East Respiratory Syndrome Coronavirus isolated first?
When was the Middle East Respiratory Syndrome Coronavirus isolated first?When was the Middle East Respiratory Syndrome Coronavirus isolated first? ...
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How has the childhood population grown in the last two decades (2000 - 2020)?
How has the childhood population grown in the last two decades (2000 - 2020)?How has the childhood population grown in the last two decades (2000 - 2020)? ...
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How will you remove the duplicate elements from the given list?
How will you remove the duplicate elements from the given list? How will you remove the duplicate elements from the given list? words = ‘one’, ‘one’, ‘two’, ‘three’, ‘three’, ‘two’ &nbsp; ...
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What is the percentage reduction in pneumonia cases due to vaccination?
What is the percentage reduction in pneumonia cases due to vaccination?What is the percentage reduction in pneumonia cases due to vaccination? ...
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Consider the following box and whisker plot:
Consider the following box and whisker plot: Consider the following box and whisker plot: &nbsp; The data set contains a total of nine numbers. The second and third number of the data ...
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If the variance of a data set is correctly computed with the formula using n - 1 in the denominator, which of the following is true?
If the variance of a data set is correctly computed with the formula using n - 1 in the denominator, which of the following is true?If the variance of a data set is correctly computed with the formula using n - 1 in the denominator, which of the following is true? a. the data set ...
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Write a sorting algorithm for a numerical dataset in Python.
Write a sorting algorithm for a numerical dataset in Python. Write a sorting algorithm for a numerical dataset in Python.&nbsp; ...
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How can you handle duplicate values in a dataset for a variable in Python?
How can you handle duplicate values in a dataset for a variable in Python?How can you handle duplicate values in a dataset for a variable in Python? ...
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Tell us about the biggest data set you have processed till date and for what kind of analysis.
Tell us about the biggest data set you have processed till date and for what kind of analysis.Tell us about the biggest data set you have processed till date and for what kind of analysis. ...
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What makes a dataset gold standard?
What makes a dataset gold standard?What makes a dataset gold standard? ...
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Explain cross-validation.
Explain cross-validation.Explain cross-validation. ...
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Can you explain the difference between a Validation Set and a Test Set?