Comitê de Classificadores | Projeto N1
-
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.
🌧️ Predict rainfall in Australia using various classification algorithms and enhance your data science skills with the ClassifiersCommittee project.
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.
A study on Individual Animal identification from video
Machine Learning Projects
Repository for storing code for WEKA Classifier Comparisons
To associate your repository with the classifiers-comparison topic, visit your repo's landing page and select "manage topics."