Q121
Open questionLet's say, a "Linear regression" model perfectly fits the training data (train error is zero). Now, Which of the following statement is true?
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Q122
Open questionSVM is a learning
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Q123
Open questionWhich of the following quantities are minimized directly or indirectly during parameter estimation in Gaussian distribution Model?
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Q124
Open questionWhat does K refers in the K-Means algorithm which is a non-hierarchical clustering approach?
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Q125
Open questionIf {A,B,C,D} is a frequent itemset, candidate rules which is not possible is
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Q126
Open questionBelow are the two ensemble models: 1. E1(M1, M2, M3) and 2. E2(M4, M5, M6) Above, Mx is the individual base models. Which of the following are more likely to choose if following conditions for E1 and E2 are given? E1: Individual Models accuracies are high but models are of the same type or in another term less diverse E2: Individual Models accuracies are high but they are of different types in another term high diverse in nature
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Q127
Open questionNaive Bayes classifiers are a collection . . . . . . . . of algorithms
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Q128
Open questionThe K-means algorithm:
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Q129
Open questionWhat is true about an ensembled classifier?
1. Classifiers that are more "sure" can vote with more conviction
2. Classifiers can be more "sure" about a particular part of the space
3. Most of the times, it performs better than a single classifier
1. Classifiers that are more "sure" can vote with more conviction
2. Classifiers can be more "sure" about a particular part of the space
3. Most of the times, it performs better than a single classifier
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Q130
Open question100 people are at party. Given data gives information about how many wear pink or not, and if a man or not. Imagine a pink wearing guest leaves, what is the probability of being a man
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Q131
Open questionMultinomial Nave Bayes Classifier is . . . . . . . . distribution
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Q132
Open questionWhich of the following statements about Naive Bayes is incorrect?
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Q133
Open questionIn Apriori algorithm, if 1 item-sets are 100, then the number of candidate 2 item-sets are
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Q134
Open questionGenerally, an ensemble method works better, if the individual base models have . . . . . . . .?
Note: Suppose each individual base models have accuracy greater than 50%.
Note: Suppose each individual base models have accuracy greater than 50%.
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Q135
Open questionTechniques involve the usage of both labeled and unlabeled data is called . . . . . . . .
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Q136
Open questionTrue or False: Ensemble learning can only be applied to supervised learning methods.
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Q137
Open questionIf two variables are correlated, is it necessary that they have a linear relationship?
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Q138
Open question. . . . . . . . allows exploiting the natural sparsity of data while extracting principal components.
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Q139
Open questionWhich one of these is not a tree based learner?
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Q140
Open questionCorrelated variables can have zero correlation coeffficient. True or False?
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