Stacking Classifier Tower with Decision Tree, Random Forest & Logistic Regression
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Stacking Classifier Tower with Decision Tree, Random Forest & Logistic Regression

Prompt

A visualization of a stacking classifier, represented as a vertical tower. At the base of this tower, show three distinct sections, each representing a different machine learning algorithm - a decision tree, a random forest, and a logistic regression algorithm. They're connected to each other symbolically indicating the data flowing from one algorithm to the next. The decision tree section is symbolized with nodes and branches of a tree. The random forest section depicts a cluster of such trees, and the logistic regression is symbolized through a sigmoid curve.

Created on 2/25/2024 using DALL-E 3 modelReport
License: Free to use with a backlink to Easy-Peasy.AI

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