Accounting undergraduate Honors theses: Predicting changes in earnings - A walk through a random forest
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This paper investigates whether the accuracy of models used in accounting research to predict categorical dependent variables (classification) can be improved by using a data analytics approach. This topic is important because accounting research makes extensive use of classification in many different research streams that are likely to benefit from improved accuracy.
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Accounting undergraduate Honors theses: Predicting changes in earnings - A walk through a random forest
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Accounting undergraduate Honors theses: Predicting changes in earnings - A walk through a random forest
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Accounting undergraduate Honors theses Predicting changes in earnings A walk through a random forest Categorical dependent variables The logistic regression-based modelsGợi ý tài liệu liên quan:
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