Finding Optimal Parameter Values for Classification

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A simSearch model can be created without the need for extensive tuning. The advanced parameters let you change values that might affect training or query time. simClassify and simClassify+ do require tuning to get optimal results. The classification use-cases can vary considerably and will affect tuning.

A highly accurate simClassify model requires defining the appropriate model specifications or parameters. simClassify has eleven basic parameters and simClassify+ has eight. Specifying each of the parameters directly and correctly is extremely difficult. ML Studio provides two ways to assist in finding the best parameters for your application.

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