GitHub / PalakshRungta / Comparison_Supervised_Learning
This repository contains the final report drafted on the replication of the Caruana and Niculescu-Mizil paper on the comparison of supervised learning algorithms. Here, I compare Logistic Regression, Random Forest, and Artificial Neural Networks over 4 different datasets measured over 3 different metrics. This project was done for Cogs 118A. The datasets were taken from the UCI ML repository.
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PURL: pkg:github/PalakshRungta/Comparison_Supervised_Learning
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Language: Jupyter Notebook
Size: 563 KB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: over 4 years ago
Pushed at: over 4 years ago
Last synced at: about 2 years ago
Topics: logisitic-regression, neural-network, random-forest, supervised-learning