发明授权
US08996452B2 Generating a predictive model from multiple data sources 有权
从多个数据源生成预测模型

Generating a predictive model from multiple data sources
摘要:
Techniques are disclosed for generating an ensemble model from multiple data sources. In one embodiment, the ensemble model is generated using a global validation sample, a global holdout sample and base models generated from the multiple data sources. An accuracy value may be determined for each base model, on the basis of the global validation dataset. The ensemble model may be generated from a subset of the base models, where the subset is selected on the basis of the determined accuracy values.
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