Regression-2.605.1100

Author: Irene Cho 

This plugin can do data analysis using various regression models.

Primary Features

• Simple data analysis can be conducted using 17 regression models and 3 plots which are residuals, prediction error and Cook’s distance will evaluate the fitted model.
• ‘Compare models’ operation compares the fitted regression models by measuring the average of squared of the errors between predicted values and actual values.
• ‘Fit Model’ gives the summary of average of squared of the errors, proportion of variance and accuracy of the fitted model with the 3 useful plots.

Prerequisites

• Input datafile (format: csv, tsv, xlsm, xls, xlsx, json)

Data Pre-processing

• Normalization: Process of recognizing data to reduce or even remove redundancy.
• Onehot-Encoding: Required process for categorical variables that removes the integer encoded variable and add a new binary variable.