Sub-package of spatstat providing functions for exploratory and nonparametric data analysis
-
Updated
Jun 18, 2024 - R
Sub-package of spatstat providing functions for exploratory and nonparametric data analysis
Utility function to plot roc curves using k-fold cross-validation
AUCC (Python Implementation)
An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
Clustering validation with ROC Curves
Wolfram Language (aka Mathematica) paclet for Receiver Operation Characteristic (ROC) functions.
The subject of this repository was to perform binary classification based on respondent's collected features (age, cholesterol level, fasting blood sugar, thallium stress test results, etc.).
Machine Learning analysis for an imbalanced dataset. Developed as final project for the course "Machine Learning and Intelligent Systems" at Eurecom, Sophia Antipolis
Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.
Knowledge Discovery in Dataset
Sinhala text extraction, preprocessing, and classification considering subject and domain.
MCC-F1 curve implementation in Python
Slides for class presentation | A short course on SDT, ROC curves and diagnostic tests
News Articles Text Classification and Clustering using Machine Learning in Python. Also, KNN implementation from scratch using max heap.
An analysis of the 2016 presidential election dataset to predict voter behavior
Shiny App to help you generate adjusted ROC curves
Machine learning for credit card default. Precision-recalls are calculated due to imbalanced data. Confusion matrices and test statistics are compared with each other based on Logit over and under-sampling methods, decision tree, SVM, ensemble learning using Random Forest, Ada Boost and Gradient Boosting. Easy Ensemble AdaBoost classifier appear…
Learn and practice alternative evaluation techniques for models on which more standard accuracy methods are not feasible
Add a description, image, and links to the roc-curves topic page so that developers can more easily learn about it.
To associate your repository with the roc-curves topic, visit your repo's landing page and select "manage topics."