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OPTIMIZING PREDICTIVE PRECISION FOR ACTIONABLE FORECASTS OF REVENUE CHANGE

机译:针对收入变动的可行预测的优化预测精度

摘要

One embodiment provides optimizing predictive precision for actionable forecasts of revenue change including receiving revenue data with timestamps for a number of historical periods at a particular level, with attributes of the particular level and a percentage of the required revenue change. The data is filtered. The filtered data is aggregated at the particular level for a selected prediction. A sliding window of the number of historical periods is moved over business periods, creating a data point for each historical period temporal window by extracting features. A required target output is created for each data point for at least one future time period. A model is trained to optimize predictive precision for actionable forecasts of revenue change. A set of recent histories is converted into a quantitative health value.
机译:一个实施例为收入变化的可操作预测提供了优化的预测精度,包括在特定级别的多个历史时段接收带有时间戳的收入数据,具有特定级别的属性和所需收入变化的百分比。数据被过滤。过滤后的数据将在特定级别聚合,以进行选定的预测。历史时段数量的滑动窗口在业务时段中移动,通过提取特征为每个历史时段时间窗口创建一个数据点。在至少一个未来时间段内,为每个数据点创建所需的目标输出。对模型进行了训练,以优化预测精度,以便对收入变化进行可行的预测。一组最近的历史记录将转换为定量的健康值。

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