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Decision Tree Model with .84 Accuracy
* myWork * Create splitKnn.ipynb * request main (#8) * Update README.md * Update README.md * Obsidian_Model (#6) Decision Tree Model with .84 Accuracy * Changes made to read me * Update README.md * Replaced tensorflow model with cleaner version * Comments (#7) Co-authored-by: Kimi Medina-Castellano <[email protected]> Co-authored-by: Jose Cruz <[email protected]> Co-authored-by: Rodrigo Aguilar Barrios <[email protected]> * update (#10) * Update README.md * Update README.md * Obsidian_Model (#6) Decision Tree Model with .84 Accuracy * Changes made to read me * Update README.md * Replaced tensorflow model with cleaner version * Comments (#7) Co-authored-by: Kimi Medina-Castellano <[email protected]> Co-authored-by: Jose Cruz <[email protected]> Co-authored-by: Rodrigo Aguilar Barrios <[email protected]> Co-authored-by: Kimi Medina-Castellano <[email protected]> Co-authored-by: Jose Cruz <[email protected]> Co-authored-by: Rodrigo Aguilar Barrios <[email protected]>
Contains decision trees and random forest models for multiclass classification of chert microdebitage
* Chert Model Contains decision trees and random forest models for multiclass classification of chert microdebitage * README by Kimi This README contains information about the methods and code involved throughout the current duration of the project up to July 29, 2022.
Presentation presented during NACME Applied Machine Learning Intensive program
* Merged all data into one dataframe and cleaned it There are 5 stages of tools merged into one dataset and each stage is mapped to an integer value. * Decision Tree Model (Acc = 80.8%) This model is hypertuned with the highest accuracy being 80.8%. Did not use GridSeachCV as it took too long. Instead, graphed accuracy against each parameter iteration. * Update README.md * Update README.md * Update README.md * Decision Tree and Random Forest Code for creating and tuning a decision tree and random forest models. * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Create Chert_Model__Decision_Trees.ipynb This is a multiclass classification decision tree model using three datasets of three different tool production stages of chert microdebitage.
* 11/11/22 Model * Final Updated obsidian model
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