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Machine Learning Exploring the model MCQ Questions and Answers
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Apr 14, 2021
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ML Exploring the Model
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SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
gradient-descent-process
logistic-function
classification-technique
regression
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What measures the extent to which the predictions change between various realizations of the model?
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Apr 14, 2021
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ML Exploring the Model
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SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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Which of the following option/options are the advantages of SQLite?
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Apr 14, 2021
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ML Exploring the Model
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SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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How are the parameters updated during Gradient Descent process?
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Apr 14, 2021
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ML Exploring the Model
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SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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____________ is the line that separates y = 0 and y = 1 in a logistic function.
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Apr 14, 2021
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ML Exploring the Model
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SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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What is the name of the function that takes the input and maps it to the output variable called?
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Apr 14, 2021
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ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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____________ measures how far the predictions are from the actual values.
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Apr 14, 2021
in
ML Exploring the Model
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SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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What is the range of the output values for a sigmoid function?
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Apr 14, 2021
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ML Exploring the Model
by
SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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For an overfit data set the cross validation error will be much bigger than the training error.
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Apr 14, 2021
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ML Exploring the Model
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SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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I have a scenario where my hypothesis fits my training set well but fails to generalize for the test set.
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Apr 14, 2021
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ML Exploring the Model
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SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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For ____________, the error is calculated by finding the sum of squared distance between actual and predicted values.
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Apr 14, 2021
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ML Exploring the Model
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SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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For ____________, the error is determined by getting the proportion of values misclassified by the model.
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Apr 14, 2021
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ML Exploring the Model
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SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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What is the Learning Technique in which the right answer is given for each example in the data called?
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Apr 14, 2021
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ML Exploring the Model
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SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
learning-technique
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____________ function is used as a mapping function for classification problems.
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Apr 14, 2021
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ML Exploring the Model
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SakshiSharma
ml-exploring-the-model
machine-learning
machine-learning-mcq
ml-mcq
machine-learning-interview-questions
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When an ML Model has a high bias, getting more training data will help in improving the model.
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Apr 14, 2021
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ML Exploring the Model
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machine-learning
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ml-mcq
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____________ controls the magnitude of a step taken during Gradient Descent.
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Apr 14, 2021
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ML Exploring the Model
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machine-learning
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