Get an intuitive sense for the ROC curve and other binary classification metrics with interactive visualization.
-
Updated
Dec 29, 2024 - Python
#
matthews-correlation-coefficient
Here are 8 public repositories matching this topic...
Matthews Correlation Coefficient Loss implementation for image segmentation.
python pytorch segmentation loss-functions melanoma pytorch-implementation skin-lesion melanoma-segmentation official-implementation skin-lesion-segmentation matthews-correlation-coefficient
-
Updated
May 9, 2025 - Jupyter Notebook
This repository contains a MATLAB-based Machine Learning Software (MLS) offers advanced biomedical signal processing with an intuitive GUI for analyzing EEG, ECG, and EMG. Features include noise filtering, feature extraction, dimensionality reduction, and customizable machine learning algorithms for tailored classification and analysis.
specificity accuracy bayesian support-vector-machine sensitivity-analysis multi-layer-perceptron decision-tree principal-component-analysis precision anova mutual-information radial-basis-function extreme-learning-machine linear-discriminant-analysis f-score k-nearest-neighbors ttest learning-vector-quantization probabilistic-neural-network matthews-correlation-coefficient
-
Updated
Apr 26, 2025 - MATLAB
Emotion Analysis with Transformers
sentiment-analysis metrics tokenizer pytorch p-value emotion-analysis nlp-machine-learning word2vec-embeddinngs balanced-accuracy distilbert huggingface-transformers friedman-test matthews-correlation-coefficient roberta-large custom-bert-model dataloader-constructor models-ranking
-
Updated
Dec 11, 2022 - Jupyter Notebook
Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
deep-neural-networks image-annotation pytorch convolutional-neural-networks resnext multilabel-classification focal-loss resnet101 pairwise-ranking binary-crossentropy tresnet xception-net asymmetric-loss corel-5k matthews-correlation-coefficient
-
Updated
Oct 1, 2022 - Python
Comprehensive Object-Oriented Programming Python implementation of a machine learning pipeline for diabetes prediction, featuring nested cross-validation, Bayesian hyperparameter optimization, and robust preprocessing for accurate and reliable outcomes.
python machine-learning scikit-learn jupyter-notebook feature-selection hyperparameter-optimization pca logistic-regression support-vector-machines health-data k-nearest-neighbours model-evaluation object-oriented-programming linear-discriminant-analysis precision-recall-curve nested-cross-validation diabetes-prediction gaussian-naive-bayes optuna matthews-correlation-coefficient
-
Updated
Nov 28, 2024 - Jupyter Notebook
Nonparametric comparison of convolutional neural networks and transformers to classify COVID-19
deep-neural-networks computer-vision pytorch sensitivity bootstrapping-statistics nonparametric-statistics cnn-classification chi-square-statistics vision-transformer matthews-correlation-coefficient friedman-nemenyi
-
Updated
Apr 18, 2024 - Python
Official Pytorch Implementation of: "Improving Loss Function for Deep CNN-based Automatic Image Annotation"
image-annotation pytorch convoloutional-neural-networks tresnet asymmetric-loss matthews-correlation-coefficient iapr-tc-12 esp-game t-resnet corel5k
-
Updated
Sep 14, 2023 - Python
Improve this page
Add a description, image, and links to the matthews-correlation-coefficient topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the matthews-correlation-coefficient topic, visit your repo's landing page and select "manage topics."