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:2025/12/07
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交ぜる
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To avoid bias in the data and improve the model's generalization performance, it is necessary to carefully mix samples from different sources.
To avoid bias in the data and improve the model's generalization performance, it is necessary to carefully mix samples from different sources.
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データの偏りを避け、モデルの汎化性能を高めるために、異なる出典からのサンプルを慎重に交ぜることが求められる。
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