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0 Best Instance-Based Machine Learning Algorithms by Score

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Instance-based algorithms make predictions by comparing new data points to stored training examples. Instance-based machine learning algorithms, also known as lazy learning methods, store all training data and make predictions by finding similarities between new instances and historical examples, adapting locally to data patterns without explicit model building.

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