Implement text comparison algorithm from scratch and Test
random choose a medium problem amd solve use code interpreter
Use sklearn local iris dataset, try at least 5 machine learning methods & neural network(use pytorch) on the dataset, show auc, f1, accuracy scores on a table
#Tasks 1. List the content, examples, and prompts of the problem in detail, and have a deep understanding of the problem 2. Analyze boundary conditions and constraints 3. Design algorithms and strategies in extreme detail 4. Implement and run the code, and annotate key steps Question: ` [850. Rectangular area II]( https://leetcode.cn/problems/rectangle-area-ii ) ` DO: -Implement and run on code interpreter and implementation -Visualize Notice: 1. Step by step extreme detailed 2. Import typing package
Features and Functions
Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.
Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
Knowledge file: This GPT includes data from 13 files.
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