Regression models for supervised learning problems with a continuous response are commonly understood as the conditional mean of given predictors. This notion is simple and therefore appealing interpretation visualization. Information about whole underlying distribution is, however, not available from these models. A more general understanding regression distributions allows much broader infere...

this study aims at comparing the performance of logistic regression, maximum entropy, and multilayer perceptron techniques in preparing the predictive habitat distribution map of amygdalus scoparia in rangelands of qom province. for this purpose, vegetation sampling was done using random systematic methods after identifying pure habitats of this species. for soil sampling, eight profiles were e...

The renin–angiotensin–aldosterone system is the well established endocrine system having significant role in preserving hemodynamic stability. Renin is secreted from the juxtaglomerular cells of the kidney. Phenylpiperazine derivatives have been reported as human renin inhibitor. To perform predictive QSAR modeling for 27 phenylpiperazine derivatives as renin enzyme inhibitors. The IC50 values ...

Predictive modeling is the process of creating a statistical model from data with the purpose of predicting future behavior. In recent years, the amount of available data has increased exponentially and “Big Data Analysis” is expected to be at the core of most future innovations. Due to the rapid development in the field of data analysis, there is still a lack of consensus on how one should app...