![Stacking Classifier Tower with Decision Tree, Random Forest & Logistic Regression Stacking Classifier Tower with Decision Tree, Random Forest & Logistic Regression](https://easy-peasy.ai/cdn-cgi/image/quality=80,format=auto,width=700/https://fdczvxmwwjwpwbeeqcth.supabase.co/storage/v1/object/public/images/fa4f6534-df97-4ecf-a7a6-1bf495a9a471/cc2b532c-dcf6-4c09-855f-db2a05cd91c7.png)
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.
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