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Performance Evaluation: Estimation of Recognition rates

Machine Learning Performance Evaluation. Performance Evaluation: Estimation of Recognition rates. J.-S. Roger Jang ( 張智星 ) CSIE Dept., National Taiwan Univ. http://mirlab.org/jang jang@mirlab.org. Outline. Performance index of a given model/classifier Accuracy (recognition rate)

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Becky (Yung- Chieh ) Wang April 24 th 2012

EAS4480 Environ. Data Analysis Project Effects of Physical Properties on Critical Shear Stress of Fine Sediments. Becky (Yung- Chieh ) Wang April 24 th 2012. Introduction. Sediment degradation, aggradation , transport  R iver morphology and evolution.

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318 views • 14 slides

CLASSIFICATION

CLASSIFICATION. Classification Conceptual. Classification Measurements. Classification Accuracy (%) – two types: Cross validation Leave one out cross validation (LOOCV) procedure Testing accuracy Number of selected genes: as small as possible – much better. Cross Validation.

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