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Which of the following options is/are true for K-fold cross-validation?
Open?s=48&r=gankit asked 2 years ago • 
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In ensemble learning, you aggregate the predictions for weak learners, so that an ensemble of these models will give a better prediction than prediction of individual models.
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Imagine, you are solving a classification problems with highly imbalanced class. The majority class is observed 99% of times in the training data.
Open?s=48&r=gankit asked 2 years ago • 
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Suppose, you are given three variables X, Y and Z. The Pearson correlation coefficients for (X, Y), (Y, Z) and (X, Z) are C1, C2 & C3 respectively.
Open?s=48&r=gankit asked 2 years ago • 
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Adding a non-important feature to a linear regression model may result in.
Open?s=48&r=gankit asked 2 years ago • 
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Suppose you want to project high dimensional data into lower dimensions.
Open?s=48&r=gankit asked 2 years ago • 
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Which of the following is/are one of the important step(s) to pre-process the text in NLP based projects?
Open?s=48&r=gankit asked 2 years ago • 
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Which of the following statements is/are true about “Type-1” and “Type-2” errors?
Open?s=48&r=gankit asked 2 years ago • 
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LogLoss evaluation metric can have negative values.
Open?s=48&r=gankit asked 2 years ago • 
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Let’s say, you are using activation function X in hidden layers of neural network. At a particular neuron for any given input, you get the output as “-0.0001”. Which of the following activation function could X represent?
Open?s=48&r=gankit asked 2 years ago • 
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Let’s say, you are working with categorical feature(s) and you have not looked at the distribution of the categorical variable in the test data.
Open?s=48&r=gankit asked 2 years ago • 
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Below are the 8 actual values of target variable in the train file.
Open?s=48&r=gankit asked 2 years ago • 
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Imagine, you are working with “Analytics Expskill” and you want to develop a machine learning algorithm which predicts the number of views on the articles.
Open?s=48&r=gAnkit asked 2 years ago • 
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Which of the following hyper parameter(s), when increased may cause random forest to over fit the data?
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A Pearson correlation between two variables is zero but, still their values can still be related to each other.
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Which of the following is an example of a deterministic algorithm?
Open?s=48&r=gAnkit asked 2 years ago • 
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which-of-the-following-statement-is-true-in-following-case
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