BigQuery SQL workflow for estimating classifier recall using stratified sampling and weighted evaluation.
-
Updated
May 26, 2026
#
classifier-evaluation
Here are 3 public repositories matching this topic...
The project focuses on analyzing neural activity data to classify neuron types (spiny and aspiny). It integrates unsupervised learning methods (PCA, Autoencoders) and supervised learning models (Logistic Regression, MLP) to build accurate classifiers that effectively analyze neurons' electrical responses.
pca-analysis supervised-learning logistic-regression data-compression mlp perceptron gradient-descent unsupervised-learning neuron autoencoders stochastic-gradient-descent neuronal-network roc-auc mlp-networks neural-classification high-dimensional-neural-datasets classifier-evaluation cortical-neurons 2d-and-3d-visualizations
-
Updated
Jan 9, 2025 - Jupyter Notebook
Built a university Pattern Recognition project that compares classical and machine-learning classifiers through feature selection, PCA/LDA transformations, hyperparameter tuning, and cross-validated evaluation on a real binary classification dataset.
pca lda hyperparameter-tuning svm-classifier knn-classification bayesian-classifier roc-auc kruskal-wallis lda-classification classifier-evaluation
-
Updated
Mar 5, 2026 - Python
Improve this page
Add a description, image, and links to the classifier-evaluation topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the classifier-evaluation topic, visit your repo's landing page and select "manage topics."