Transcription of 210-31: Receiver Operating Characteristic (ROC) …
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210-31: Receiver Operating Characteristic (ROC) …
Paper 210-31 Receiver Operating Characteristic (ROC) curves Mithat G nen, Memorial Sloan-Kettering Cancer Center ABSTRACT Assessment of predictive accuracy is a critical aspect of evaluating and comparing models, algorithms or technologies that produce the predictions. In the field of medical diagnosis, Receiver Operating Characteristic (ROC) curves have become the standard tool for this purpose and its use is becoming increasingly common in other fields such as finance, atmospheric science and machine learning. There are surprisingly few built-in options in SAS for ROC curves , but several procedures in SAS/STAT can be tailored with little effort to produce a wide variety of ROC analyses.
Paper 210-31 Receiver Operating Characteristic (ROC) Curves Mithat Gönen, Memorial Sloan-Kettering Cancer Center ABSTRACT Assessment of predictive accuracy is a critical aspect of evaluating and comparing models, algorithms or
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