Comitê de Classificadores | Projeto N1
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Updated
Sep 25, 2025 - Jupyter Notebook
Comitê de Classificadores | Projeto N1
Machine Learning classifier comparison GUI application. Choose 21 classifiers, evaluation data (optional for evaluation of synthetic data), hyperparameters, cross-validation splits, and rng seed; tabulates, and visualizes in Parallel Coordinates: best, worst, average, and standard deviation of Accuracy/F1/Recall.
Multilable fast inference classifiers (Ridge Regression and MLP) for NLPs with Sentence Embedder, K-Fold, Bootstrap and Boosting. NOTE: since the MLP (fully connected NN) Classifier was too heavy to be loaded, you can just compile it with the script.
Repository for storing code for WEKA Classifier Comparisons
Machine Learning Projects
A study on Individual Animal identification from video
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