Landslide susceptibility assessment using statistical and machine learning techniques: a case study in the upper reaches of the minjiang river, southwestern china

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• who: August and collaborators from the Chengdu University of Technology, China have published the Article: Landslide susceptibility assessment using statistical and machine learning techniques: A case study in the upper reaches of the Minjiang River, southwestern China, in the Journal: (JOURNAL) of 11/08/2011
• what: In this study, tolerance (TOL) and variance inflation factor (VIF) were applied to judge multicollinearity, which can be calculated as follows (e_g, Di Napoli et_al, 2020): TOL 1 - R2j VIF 1TOL Iij where Rj2 is the coefficient of determination for the regression analysis of all other factors. To validate . . .
  

   

  

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