Asymmetry
Asymmetry refers to the lack of symmetry or balance between two or more entities. In data science, asymmetry can refer to the uneven distribution of data points in a dataset, where one tail of the distribution is longer than the other. This can affect the accuracy of statistical models and machine learning algorithms, as they may be biased towards the more prevalent data points. Asymmetry can also refer to the imbalance between the number of positive and negative examples in a classification problem, which can lead to poor performance of the model. In artificial intelligence, asymmetry can refer to the difference in power or resources between two agents in a game or negotiation, which can affect the outcome of the interaction. Asymmetry can also refer to the difference in information or knowledge between two parties, which can lead to unfair advantages or disadvantages.
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