Regression-2.605.1100

This function is one of Plugins Operation.You can find the movie in ARGOS RPA+ video tutorial.

Regression

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

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.

Need help?

Technical contact to tech@argos-labs.com

May you search all operations,

Parameters

1. Compare Models

Required parameters	Type	Note
Target variable	str	A target variable to predict

2. Fit Model

Required parameters	Type	Note
Target variable	Str	A target variable to predict
Model Type	Str	Choose one of the given models
Plot Output (optional)	File path	Absolute file path for plot output
Plot Type (optional)	Str

Example of the plugin in STU – Compare Models (Output: ‘.html’)

Example of the plugin in STU – Fit Model (Output: CSV or plot image)