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1. 1. Evaluation of Calibration Methods to Adjust for Infrequent Values in Data for Machine Learning

   Master-uppsats, Högskolan Dalarna/Mikrodataanalys

   Författare :Felipe Dutra Calainho; [2018]
   Nyckelord :Data mining; resampling; ensemble.;

   Sammanfattning : The performance of supervised machine learning algorithms is highly dependent on the distribution of the target variable. Infrequent values are more di_cult to predict, as there are fewer examples for the algorithm to learn patterns that contain those values. LÄS MER