Completed

Business analytics 2

Using descriptive analytics, review the data and provide major insights into data.

Report any p reprocessing that you would like to apply before developing the model with justification.

Divide the data randomly into training (70%) and validation (30%) partitions, and develop classification models using Logistic regression using cutoff of 0.5. Report the confusion matrix and the net profit for the validation data. Evaluate the model performance using appropriate metrics.

Using You den's index, identify the optimum cutoff and report the associated performance metrics

Skills: Statistical Analysis, Business Analysis, Analytics, R Programming Language

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About the Employer:
( 2 reviews ) Bengaluru, India

Project ID: #21611452

Awarded to:

bestconsult123

hello, we are a data scientist team with highly qualified skills in statistics, programming and mathematics. So get your statistical job done here ! We can do : 1. Data Preprocessing ***Missing data ***Categ More

₹1950 INR in 2 days
(3 Reviews)
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