Addendum
发表于 2025-3-21 18:07:25
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继承人
发表于 2025-3-21 21:21:33
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其他
发表于 2025-3-22 04:16:38
Boosting and Stacking,The ensemble technique relies on an aggregate of models’ output to provide a better prediction. Other than voting and bagging, we can use boosting and stacking.
FAST
发表于 2025-3-22 07:36:28
Decision Trees, label the instance as belonging to a class. The decision tree is our first approach to solve classification problems. However, decision trees can perform regression too, hence their name classification and regression trees (CART). The random forests that we will encounter in a later chapter are powerful variations of CART.
联想记忆
发表于 2025-3-22 12:16:58
,Naïve Bayes,uld be a yes or no with certainty. The situation with Bayesian modeling for decision-making is different—it estimates the probability that an instance belongs to a certain class, which is more nuanced .
泄露
发表于 2025-3-22 13:19:51
Neural Networks,simply neural networks, are effective in solving complex problems, i.e., in modeling complex nonlinear functions. ANN. model the functioning of the brain’s neurons; ANN can be trained to “learn” how to recognize patterns and classify data .
chuckle
发表于 2025-3-22 17:10:59
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Urea508
发表于 2025-3-23 00:41:08
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细微差别
发表于 2025-3-23 04:33:19
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Anguish
发表于 2025-3-23 07:07:27
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