Search Results for "roc"

R does not define a standardized interface for its machine-learning algorithms. Therefore, for any non-trivial experiments, you need to write lengthy, tedious, and error-prone wrappers to call the different algorithms and unify their respective output. {mlr} provides this infrastructure so that you can focus on your experiments! The framework provides supervised methods like classification, regression, and survival analysis along with their corresponding evaluation and optimization methods,...

VisualDL, a visualization analysis tool of PaddlePaddle, provides a variety of charts to show the trends of parameters and visualizes model structures, data samples, histograms of tensors, PR curves , ROC curves and high-dimensional data distributions. It enables users to understand the training process and the model structure more clearly and intuitively so as to optimize models efficiently. VisualDL provides various visualization functions, including tracking metrics in real-time, visualizing...

... ratio achieved a very high accuracy of 96%, MCC of 0.9, AUC-ROC of 0.99 and Kappa statistic of 0.9. AmPEP outperforms existing methods with respect to accuracy, MCC, and AUC-ROC when tested using the benchmark datasets. Server online at https://cbbio.online/AxPEP

This is an introductory book in machine learning with a hands on approach. It uses Python 3 and Jupyter notebooks for all applications. The emphasis is primarily on learning to use existing libraries such as Scikit-Learn with easy recipes and existing data files that can found on-line. Topics include linear, multilinear, polynomial, stepwise, lasso, ridge, and logistic regression; ROC curves and measures of binary classification; nonlinear regression (including an introduction to gradient...

ROC(Taiwan) Judgement Search and Download 中華民國司法判決書搜尋與下載，能夠快速的查詢某一區段或是某一案件類型之判決文，供下載該區段判決文以供研究司法狀態或是判決型態。其他搜尋問題請參照:http://jirs.judicial.gov.tw/FJUD/TextHelp.htm

Technical indicators in Python For now there are: RSI - Relative Strength Index, SMA - Simple Moving Average, WMA - Weighted Moving Average, EMA - Exponential Moving Average, BB - Bollinger Bands, Bollinger Bandwidth, %B, ROC and MA envelopes When I can I will add more. If anyone wishes to contribute with new code or corrections/suggestions, feel free.

Calculates the Equal Error Rate (EER) using the ROC curve. This error is very used in Biometrics. This error is calculated when False Accept Error and False Rejecti Error are equal. This is a package for WEKA.

Lightweight XMLRPC implementation for C#. Works fine with MonoTouch and Mono for Android (www.xamarin.com) because reflection.emit is not used!

We introduce ARDEN (Artificial Reference Driven Estimation of false positives in NGS data), a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality...

GeneNetWeaver (GNW) is an open-source tool for in silico benchmark generation and performance profiling of network inference methods. GNW was used to generate the community-wide DREAM3, DREAM4 and DREAM5 In Silico Challenges.

Game Stats generates web-based static .HTML statistics by parsing a game log file. Currently supports COD (Call of Duty) and Soldier of Fortune 2 w/OSP or ROC mods. As of 1.4, it ships with its own executable, and doesn't require PHP or MySQL.

Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA.

ROC.KIT is an application for health sciences that automatically calculates ROC curves (receiver operating charateristic plots) from continuous medical data like laboratory results.

Roc is a J2EE/Ajax framework for enterprise rapid devlopment. It makes you to be free from transaction management, remote calling program ,ajax calling program and so on. And it is easy to learn and use.

Roc's purpose is to serve as a tool for those who know little about programming. It strives to create RPGs similar to those on your video game console. Roc is written in Python and wxPython. It will support all platforms compatible with wxPython.