Objective
• Build a No-Code Machine Learning model using KNIME.• Understand the fundamentals of Classification problems.• Learn how Logistic Regression predicts categorical outcomes.
Classification
The objective of this workflow is to predict whether a client will subscribe to a term deposit offered by the bank.
Target Variable (y):
• Yes = 1• No = 0
Since the outcome belongs to one of two categories, this is a Binary Classification problem. Logistic Regression is used to learn patterns from historical customer data and predict future outcomes.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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