Prediction is

Related MCQs

• Which of the following properties are characteristic of decision trees? (a) High bias (b) High variance (c) Lack of smoothness of prediction surfaces (d) Unbounded parameter set
• Suppose on performing reduced error pruning, we collapsed a node and observed an improvement in the prediction accuracy on the validation set. Which among the following statements are possible in light of the performance improvement observed? (a) The collapsed node helped overcome the effect of one or more noise affected data points in the training set (b) The validation set had one or more noise affected data points in the region corresponding to the collapsed node (c) The validation set did not have any data points along at least one of the collapsed branches (d) The validation set did have data points adversely affected by the collapsed node
• What is the sequence of the following tasks in a perceptron? Initialize weights of perceptron randomly Go to the next batch of dataset If the prediction does not match the output, change the weights For a sample input, compute an output
• Suppose there are 25 base classifiers. Each classifier has error rates of e = 0.35. Suppose you are using averaging as ensemble technique. What will be the probabilities that ensemble of above 25 classifiers will make a wrong prediction? Note: All classifiers are independent of each other
• Q25. Which of the following are advantages of stacking? 1) More robust model 2) better prediction 3) Lower time of execution
• Which of the following function provides unsupervised prediction ?
• Some people are using the term        instead of prediction only to avoid the weird idea that machine learning is a sort of modern magic.
•            is the most drastic one and should be considered only when the dataset is quite large, the number of missing features is high, and any prediction could be risky.
•             is the most drastic one and should be considered only when the dataset is quite large, the number of missing features is high, and any prediction could be risky.
• Which statement is true about prediction problems?