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LogisticRegression algorithm is used in this model training\n2. Model Success Rate\n\n   | Model Name                         | Date            | Success Rate |\n   |------------------------------------|-----------------|--------------|\n   | LinearSVC                          | 21st Dec 2023   | 0.878791     |\n   | LogisticRegression                 | 21st Dec 2023   | 0.873399     |\n   | MultinomialNB                      | 21st Dec 2023   | 0.862100     |\n   | RandomForestClassifier             | 21st Dec 2023   | 0.377510     |\n   | -----------------------------------| --------------- |--------------|\n   | LinearSVC                          | 27th Dec 2023   | 0.901199     |\n   | LogisticRegression                 | 27th Dec 2023   | 0.890707     |\n   | MultinomialNB                      | 27th Dec 2023   | 0.885331     |\n   | RandomForestClassifier             | 27th Dec 2023   | 0.362772     |\n   | -----------------------------------| --------------- |--------------|\n   | LinearSVC                          | 24th Jul 2025   | 0.926181     |\n   | LogisticRegression                 | 24th Jul 2025   | 0.925339     |\n   | MultinomialNB                      | 24th Jul 2025   | 0.906969     |\n   | RandomForestClassifier             | 24th Jul 2025   | 0.356479     |\n   | -----------------------------------| --------------- |--------------|\n   | LinearSVC                          | 25th Jul 2025   | 0.925844     |\n   | LogisticRegression                 | 25th Jul 2025   | 0.925002     |\n   | MultinomialNB                      | 25th Jul 2025   | 0.906800     |\n   | RandomForestClassifier             | 25th Jul 2025   | 0.356142     |\n\n#### Linear Regression\n\n### Regression\n\n## Unsupervised Learning\n\n## Reinforcement Learning\n\n# Jupyter Notebook\n## Start Anaconda\n## Launch Jupyter Notebook\n## Open Notebook\nhttp://localhost:8888/notebooks/git/expense-catecorization/ExpenseCategorization.ipynb\n## Run\nKernel \u003e\u003e Restart \u0026 Run All","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falokkusingh%2Fexpense-catecorization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falokkusingh%2Fexpense-catecorization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falokkusingh%2Fexpense-catecorization/lists"}