Binning is a categorization process to transform a continuous variable into a small set of groups or bins. Binning is widely used in credit scoring. In particular, it can be used to define the Weight of Evidence (WOE) transformation. In this paper, we first derive an explicit solution to a logistic regression model with one independent variable that has undergone a WOE transformation. We then u...

The Weight-of-Evidence (WOE) approach uses multiple lines of evidence to analyze the adverse effects associated with CO2 enrichment in two stations from Gulf Cádiz (Spain) different contamination degrees. Sediment and metal (loid) mobility, toxicity, ecological integrity, bioaccumulation samples exposed acidification scenarios (pH gradient 8.0 6.0) were used WOE. experiments conducted under lab...

Groundwater resource is a very important water resource that has stable temperature, clear, tidy and confident. In recent years, population growth, industrialize and need to food and water, have exposed the groundwater resource on the risk. Reduction of water resources is a main problem in throughout the world. In this research groundwater potential mapping was obtained in Norabad plain, Lorest...

Hazard identification is the key step in risk assessment and management of manufactured nanomaterials (NM). However, the rapid commercialisation of nano-enabled products continues to out-pace the development of a prudent risk management mechanism that is widely accepted by the scientific community and enforced by regulators. However, a growing body of academic literature is developing promising...

The mode of action human relevance (MOA/HR) framework increases transparency in systematically considering data on MOA for end (adverse) effects and their relevance to humans. This framework continues to evolve as experience increases in its application. Though the MOA/HR framework is not designed to address the question of "how much information is enough" to support a hypothesized MOA in anima...

Floods are among the most severe natural hazard phenomena that affect people around world. Due to this fact, identification of zones highly susceptible floods became a very important activity in researcher’s work. In context, present research work aimed propose following 3 novel ensembles estimate flood susceptibility Putna river basin from Romania: UltraBoost-Weights Evidence (U-WOE), Stochast...

Gully erosion is the most intensive type of water and it leads to land degradation across world. Therefore, analyzing spatial occurrence this phenomenon crucial for management. The objective research was predict gully susceptibility in Kakia-Esamburmbur catchment Narok, Kenya, which badly affected by erosion. GIS ensemble techniques using weight evidence (WoE) logistic regression (LR) models we...

Weight of evidence (WOE) is an important concept in risk assessment. Weed (2005) attempted to conduct a “state-of-the-science review of the concept of ‘weight of evidence’ and its methods” based on 92 of 276 papers published between 1994 and 2004 in which “weight of evidence” appeared in the abstract and/or title in the PubMed database. Reference lists of these articles were reviewed to add 2 c...

Almost all of the machine learning problems require data preprocessing. This stage is especially important for problems where the datasets contain features of mixed types (i.e. nominal and numeric). An often practice in such cases is to transform each nominal features into many dummy (i.e. binary) features. Also many classification algorithms have preference of numeric attributes over nominal a...