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Dear candidates you will find MCQ questions of Machine Learning (ML) here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.
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Q. 221) The correlation coefficient for two real-valued attributes is –0.85. What does this value tell you?
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Q. 222) 8 observations are clustered into 3 clusters using K-Means clustering algorithm. After first iteration clusters,
C1, C2, C3 has following observations:
C1: {(2,2), (4,4), (6,6)}
C2: {(0,4), (4,0),(2,5)}
C3: {(5,5), (9,9)}
What will be the cluster centroids if you want to proceed for second iteration?
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Q. 223) In Naive Bayes equation P(C / X)= (P(X / C) *P(C) ) / P(X) which part considers "likelihood"?
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Q. 224) Which of the following option is / are correct regarding benefits of ensemble model? 1. Better performance
2. Generalized models
3. Better interpretability
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Q. 226) Which of the following is an application of NN (Neural Network)?
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Q. 227) Neural Networks are complex ______________ with many parameters.
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Q. 228) Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.
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Q. 229) Which one of the following is not a major strength of the neural network approach?
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Q. 230) The network that involves backward links from output to the input and hidden layers is called
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