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A Los Angeles Times machine-learning analysis found that the Los Angeles Police Department misclassified an estimated 14,000 serious assaults as minor offenses in an eight-year period, artificially lowering the city's crime levels. Reporters used an algorithm to learn key words in crime report narratives that identified offenses as serious of minor, and then used it to review nearly eight years of data in search of classification errors.