Regression vs Classification in Machine Learning?

Regression vs Classification in Machine Learning?

WebJun 9, 2016 · Technically, since age can be treated as a continuous random variable, then that is what it is considered, unless we have a reason to treat it as a discrete variable. Review. For 1-10, determine whether each situation is a discrete or continuous random variable, or if it is neither. The number of cats in a shelter at any given time. WebClassify each random variable as either discrete or continuous. The number of boys in a randomly selected three-child family. The temperature of a cup of coffee served at a … color definition psychology WebNov 27, 2024 · Classify the following as either a discrete random variable or a continuous random variable. Birth years of members of - Answered by a verified Tutor. ... In each of the following, classify the resulting data variable as qualitative or as quantitative. If quantitative, label as discrete or as continuous. Web17 hours ago · In conclusion, regression and classification are two important tasks in machine learning for different purposes. Regression is used for predicting continuous … driving licence uk apply online WebMay 6, 2024 · For the given cases, from case third to fifth, the number of errors, the number of clerical errors, and the number of days, all can only be integers and thus, they are … WebClassify the following random variables as discrete or continuous X: the number of automobile accidents cach year in Virginia. Y: the length of time to play 18 holes of golf. M: the amount of milk produced yearly by a particular cow. ... A. Classify each random variable as either discrete or continuous. 1. The number of arrivals at an… driving licence validity nt WebHow to Classify Random Variables as Discrete or Continuous. Step 1: Identify the variable in the problem. Step 2: Determine if the values of the random variable can be …

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