Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

A set of data tools in Python

Technical indicators to run technical analysis with JavaScript & TypeScript. 📈

Technical anaysis library for .NET

Display and analyze ROC curves in R and S+

PyEER is a python package for biometric systems performance evaluation. Includes ROC, DET, FNMR, FMR and CMC curves plotting, scores distribution plotting, EER and operating points estimation. It can be also used to evaluate binary classification systems.

Machine learning toolkits with Python

Threshold analysis

Classification and Regression Performance Metrics library

Evaluation of 3D detection and diagnosis performance —geared towards prostate cancer detection in MRI.

Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays

Get performance metrics and graphs of a scorecard

a tool lib calculates fin-indicators

Assignment for the AI for Medicine Specialization course. (1:Chest X-Ray Medical Diagnosis with DL/ 2:Evaluation of Diagnostic Models/ 3:Brain Tumor Auto-Segmentation for MRI)

Analysis of Story-Cloze-Test (SCT) task and its training set (ROCStories). History, developments and future works.

Draw ROC for CNN classification

The dataset consists of data collected from heavy Scania trucks in everyday usage. The system in focus is the Air Pressure system (APS) which generates pressurised air that is utilized in various functions in a truck, such as braking and gear changes. The dataset’s positive class consists of component failures for a specific component of the APS…

ROC methodology explained with R-examples

💚 A heart disease classifier using 4 SVM kernels and decision trees, with PCA, ROC, pruning, grid search cv, confusion matrix, and more