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| ==en construction==
| | #REDIRECTION[[Intervalle de confiance]] |
| | | [[Catégorie:ENGLISH]] |
| == Définition ==
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| == Français ==
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| ''' XXXXXXXXX '''
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| == Anglais ==
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| ''' Confidence Interval'''
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| A confidence interval is the range of values needed to match a confidence level for estimating the features of a complete population. Confidence intervals are usually reported in the context of a margin of error, though they are two unique values. While separate, confidence intervals are closely connected to confidence levels.
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| The minimum confidence level is set by the machine learning human trainer, usually at 95%, though sometimes lower or higher depending on whether an unsupervised or supervised learning technique is being used.
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| The interval is how large a range of values you need to reach that confidence level that the sample’s results would reflect the entire population’s features.
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| The primary factors influencing how “tight” the confidence interval can be are the size of the sample, the confidence level, and the variability within the sample. For example, a larger and more random sample will produce a higher confidence level estimate for the total population.
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| <small>
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| [https://deepai.org/machine-learning-glossary-and-terms/confidence-interval Source : DeepAI.org ]
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| [[Catégorie:DeepAI.org]] | |
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| [[Catégorie:vocabulary]] | |
