Predictive and Classification Modelling - Create an Orange Workflow to Predict - Business Assignment Help

Assignment Task :

Overview
This assignment asks you to take datasets and create predictive and classification models.

Classification
For the classification exercise use the dataset datacleanclassificationboth spreadsheet. For this dataset:
• Create an Orange workflow to predict the target variable as accurately as possible.

•  Perform the data preparation steps required to load data and prepare it for processing.
•  Using the Test and Score function, utilize as many algorithms as possible to create predictive models.
• (You must determine which of those provided in Orange are usable)
•  Choose the best model and justify why.

? If you have taken any steps to improve accuracy, be sure to highlight them here.

Prediction
For the prediction model use the dataset datacleanpredict:
• Create an Orange workflow to predict the target variable as accurately as possible.
 Perform the data preparation steps required to load data and prepare it for processing.
 Using the Test and Score function, utilize as many algorithms as possible to create predictive models.
(You must determine which of those provided in Orange are usable)
 Choose the best model and justify why.

? If you have taken any steps to improve accuracy, be sure to highlight them here.

Grading
Deliverables
The deliverables for this assignment are:
• A presentation of your findings. The presentation should contain sections for each of classification and prediction showing:

•  A summary results tables that were generated by each of your models.

? Including the RMSE and R^2 for prediction, accuracy table for classification.

•  Screenshots of your workspaces.
•  Your choice of the most suitable model for each of classification and prediction and the justification why that is the one that you chose. (Likely a slide or two for each of prediction and classification)
   

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