roc

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

Get performance metrics and graphs of a scorecard

a tool lib calculates fin-indicators

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

The pattern recognition assignments and solutions for fall 2019 by Dr. Analouei at Iran University of Science and Technology

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

Draw ROC for CNN classification

Binary Classifier using CNN from Keras module in python. Pneumothorax Detection Project From MIT's 6.S191 Course Lab

ISOLATION FOREST ALGORITHM FOR PIEZO DATA

Receiver Operating Characteristic curve(roc).

Neyman-Pearson lemma, likelihood ratio, ROC, efficiency, purity, Bayes error

R-script addaptation of RATEPOL

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 system. The negative class consists of trucks with failures for components not related to the APS. So, I created a model where It can able to detect whether the APS is going to fail or Not.

Predict whether the cancer is benign or malignant.

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)

A repository for sharing code and my various projects

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

Python code to obtain metrics like receiver operating characteristics (ROC) curve and area under the curve (AUC) from scratch without using in-built functions.

Evaluate Binary Classifiers