Q381
Open questionWhat is the Accuracy in percentage based on following confusion matrix of three class classification. Confusion Matrix C= [14 0 0] [ 1 15 0] [ 0 0 6]
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Computer Science · all questionsMachine Learning
Machine Learning
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Q382
Open questionSuppose you are using RBF kernel in SVM with high Gamma value. What does this signify?
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Q383
Open questionThe difference between the actual Y value and the predicted Y value found using a regression equation is called the
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Q384
Open questionWhich of the following method is used for multiclass classification?
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Q385
Open questionTo determine association rules from frequent item sets
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Q386
Open questionThe objective of the support vector machine algorithm is to find a hyperplane in an N-dimensional space(N the number of features) that distinctly classifies the data points.
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Q387
Open questionWhat does dimensionality reduction reduce?
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Q388
Open questionIf an item set 'XYZ' is a frequent item set, then all subsets of that frequent item set are
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Q389
Open questionLike the probabilistic view, the . . . . . . . . view allows us to associate a probability of membership with each classification.
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Q390
Open questionDifferent learning methods does not include?
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Q391
Open questionWhat is/are true about ridge regression?
1. When lambda is 0, model works like linear regression model
2. When lambda is 0, model doesn't work like linear regression model
3. When lambda goes to infinity, we get very, very small coefficients approaching
04. When lambda goes to infinity, we get very, very large coefficients approaching infinity.
1. When lambda is 0, model works like linear regression model
2. When lambda is 0, model doesn't work like linear regression model
3. When lambda goes to infinity, we get very, very small coefficients approaching
04. When lambda goes to infinity, we get very, very large coefficients approaching infinity.
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Q392
Open questionIn what type of learning labelled training data is used
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Q393
Open questionBased on survey, it was found that the probability that person like to watch serials is 0.25 and the probability that person like to watch netflix series is 0.43. Also the probability that person like to watch serials and netflix sereis is 0.12. what is the probability that a person doesn't like to watch either?
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Q394
Open questionWhich learning Requires Self Assessment to identify patterns within data?
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Q395
Open questionThe linear SVM classifier works by drawing a straight line between two classes
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Q396
Open questionIn which of the following cases will K-Means clustering fail to give good results?
1. Data points with outliers
2. Data points with different densities
3. Data points with round shapes
4. Data points with non-convex shapes
1. Data points with outliers
2. Data points with different densities
3. Data points with round shapes
4. Data points with non-convex shapes
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Q397
Open questionA person trained to interact with a human expert in order to capture their knowledge.
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Q398
Open questionIn many classification problems, the target . . . . . . . . is made up of categorical labels which cannot immediately be processed by any algorithm.
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Q399
Open questionWhat is PCA, KPCA and ICA used for?
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Q400
Open questionWhich of the following can be one of the steps in stacking?
1. Divide the training data into k folds
2. Train k models on each k-1 folds and get the out of fold predictions for remaining one fold
3. Divide the test data set in "k" folds and get individual fold predictions by different algorithms
1. Divide the training data into k folds
2. Train k models on each k-1 folds and get the out of fold predictions for remaining one fold
3. Divide the test data set in "k" folds and get individual fold predictions by different algorithms
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