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superlin30/QuantPlus-Model-Evaluation

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Building on QuantPlus dataset, we evaluated classical machine learning models (e.g., KNN, SVM, random forests) and deep learning models (e.g., RNN, LSTM, GNN), with the results and optimal parameters of each model

active 2024-10-162024-11-12 (UTC)

Complete coverage26,772 / 26,772 hourly files (100%) · 2 absent upstream2023-08-152026-09-03 (UTC)
Events
6
Pushes
4
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

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Line chart, 28 days from 2024-10-16 to 2024-11-12. Pushes: 4 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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superlin304400

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.