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I tried MultinomialNB and SGDClassifier, but accuracy dropped slightly. BERT gave minor improvements but required heavy GPU training—rejected. Even AutoGluon gave me a hilarious 53% binary accuracy. None of these are worth discussing further.
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For one, the status of women in North Korea has made great leaps since the so-called Arduous March - the famine caused in the 1990s when North Korea's economy collapsed.。关于这个话题，搜狗输入法2026提供了深入分析
I asked Claude to write the classifier code, and it naively dumped the entire raw text into the model, achieving a suspicious 99.45% accuracy… Wait… is that… right?