My rule: Keep records and tax returns for years that include atypical transactions (sales or donations of property) and irregular income (stock option exercises, trust income, etc.) for six years after the filing date of the return. Keep a 2005 tax return that includes reporting of irregular items until April 2012.
Logistic regression was developed by statistician David Cox in 1958 (although much work was done in the single independent variable case almost two decades earlier). The binary logistic model is used to estimate the probability of a binary response based on one or more predictor (or independent) variables (features).
Logistic Regression (R). Logistic Regression is a type of classification model. In classification models, we attempt to predict the outcome of categorical dependent variables, using one or more independent variables. The independent variables can be either categorical or numerical..e., the probability that the dependent variable is of class 1, given the independent variables. For this tutorial, we will be performing logistic regression on the âAdultâ dataset. I have previously explained the data preparation and transformations that I use for this dataset in this tutorial.