Automatic feature generation and selection in predictive analytics solutions
نویسنده
چکیده
In this thesis we proposed a feature generation and selection method called Feature Extraction and Selection for Predictive Analytics (FESPA). This method aims to improve the current Predictive Analytics solution of Quintiq, which had only options for manual feature selection and no options for feature generation. We have discovered that the proposed method does not decrease performance. In most cases, however, it does also not improve the performance. For the data sets where the performance increased, the improvement is significant. Automatic feature generation and selection in predictive analytics solutions iii
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