Decision Tree Classifier

This bot is based on the principle of Decision Tree Classifier to expedite business decisions. Bot takes in input data in CSV file & provides output in MS excel.

Top Benefits

  • Increase Productivity: Expedite the business decision process with advantage of up to 40% time saving.
  • Optimized decision process for organization, when decision could be taken based from non-linear rule based inputs.
  • Produces simplified process with increase turnaround time with effective onboarding process.
  • Zero Maintenance: Model is provided as SaaS using serverless function architecture of Azure.

Tasks

  • A potential companion to analytics for classification problem.
  • Each internal node of the decision tree denotes an attribute and each leaf node denotes a class label.
  • The Bot takes in the CSV file and performs the linear regression and output the MS Excel

Inputs:
• Path: Path of the CSV file Ex.: C:~Employee_data.csv
• NoOfColumn: Number of Columns in the CSV file
• InputColumn: Header of the input columns of the CSV file Ex: 'Age','Work Class','Education','Marital_Status','Occupation','Relationship','Race','Gender','Hours_Per_Week','Native_Country','Income'
• InputColumnDataType: Data Types of the input column (Available datatype: Numeric, String, Date) Ex:
• 'Numeric','String','String','String','String','String','String','String','Numeric','String','String'
• MissingNumberValueReplacement: By which value you have to replace the missing number values
• MissingStringValueReplacement: By what string you have to replace the missing string values
• IgnoreColumns: header of the Columns which you have to ignore in the model.  Ex: 'Race'
• PredictionColumnName: Header of the column on which you want to predict Ex: 'Income'
• Ex: This input tells us about the different salaries of the person based on various features like Education, occupation, etc

Outputs:
• Output: the result in the form of the MS Excel
• Predictions in the prediction class
Ex: The below result output shows the two classes:

○ Gold_Class: This column is taken as the predicted target
○ Predicted_Class: This tells us the predicted type of the person salary i.e. it is above 50k or below it

Get Bot

Free

Bot Security Program
Level 1
Applications
Business Process
Category
Vendor
Automation Type
Bot
Last Updated
June 26, 2020
First Published
June 26, 2020
Enterprise Version
11.x
Community Version
11.3.1
ReadMe
ReadMe
Support

See the Bot in Action

Code
Input Sample
Output Sample
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Code
Input Sample
Output Sample

Setup Process

Install

Download the Bot and follow the instructions to install it in your AAE Control Room.

Configure

Open the Bot to configure your username and other settings the Bot will need (see the Installation Guide or ReadMe for details.)

Run

That's it - now the Bot is ready to get going!

Requirements and Inputs

  • Path: Path of the CSV file.
  • NoOfColumn: Number of Columns in the CSV file.
  • InputColumn: Header of the input columns of the CSV file.
  • InputColumnDataType: Data Types of the input column (Available datatype: Numeric, String, Date).
  • MissingNumberValueReplacement: By which value you have to replace the missing number values.
  • MissingStringValueReplacement: By what string you have to replace the missing string values.
  • IgnoreColumns: header of the Columns which you have to ignore in the model.
  • PredictionColumnName: Header of the Column on which you want to predict.