Topic: precision-recall-curve Goto Github
Some thing interesting about precision-recall-curve
Some thing interesting about precision-recall-curve
precision-recall-curve,The project involves using machine learning techniques, like RandomForestClassifier and MLP, to predict whether a song will be popular or not based on its acoustic features. The input consists of various acoustic and metadata features, while the output is a binary classification.
User: adarshsankarrs
precision-recall-curve,Sampling unbalanced dataset using SMOTE and creating a classifier to classify if a HR will stay or leave.
User: akashsdas
precision-recall-curve,Predict fraudulent credit card transactions using TensorFlow, Keras, K Neighbors, Decision Tree, SVM Regression and Logistic Regression classifiers .
User: ansu-john
precision-recall-curve,Linear Regression, Logistic Regression, ML Pipeline
User: calculator3000
precision-recall-curve,Script to compute Precision, Recall, AvP and MAP and to plot PR curves in the context of Information Retrieval evaluation.
User: davidrferreira
precision-recall-curve,This repository is for me to experiment with various Classification Models using Python.
User: devinaa1604
precision-recall-curve,Build repository for brambox - https://gitlab.com/eavise/brambox
Organization: eavise-kul
Home Page: http://eavise.gitlab.io/brambox
precision-recall-curve,A Comprehensive Guide to Titanic Machine Learning from Disaster
User: faysal37
Home Page: https://www.kaggle.com/c/titanic
precision-recall-curve,Evaluation of different face detection algorithms existing in the literature using different benchmarks
User: fethi-ourghi
precision-recall-curve,Fully connected neural network analyzing sentiments in reviews for Amazon's Alexa.
User: guilhermedom
precision-recall-curve,Search engine that queries for information to find the best results based on custom analysers and indexing techniques.
User: jadhavsujit4
precision-recall-curve,This code build up a predicting model use the Machine learning algorithms such as Decision Tree, k-Nearest Neighbors etc. on the Vehicle to predict the departure action
User: jienichen
precision-recall-curve,
Organization: jstacs
precision-recall-curve,A wide variety of supervised and unsupervised machine learning methods using the scikit-learn library
User: liyijin-data-pm
precision-recall-curve,Matlab code for computing and visualization: Precision-Recall curve, AUPR, Accuracy etc. for Classification.
User: lotuscn
precision-recall-curve,Measure and visualize machine learning model performance without the usual boilerplate.
Organization: metriculous-ml
precision-recall-curve,ML/CNN Evaluation Metrics Package
User: mr-talhailyas
precision-recall-curve,An implementation of a density based outlier detection method - the Local Outlier Factor Technique, to find frauds in credit card transactions. For detecting both local and global outliers.
User: niloth-p
precision-recall-curve,This notebook describes how to compute and derive insights from various classification evaluation metrics.
User: omahmoodi
precision-recall-curve,This is an highly imbalanced data with only 1.72% minority and 98.28% majority class, i will be explaining Up and down sampling and effect of sampling before and while doing cross validation. Model has been evaluated using precision recall curve.
User: pankush9096
precision-recall-curve,Training binary classifier and multi-class classifier to classify the MNIST datase
User: rohith28
precision-recall-curve,A hotel chain is having issues with cancellations. This project analyzes customer booking data to identify which factors significantly influence cancellations, build models using logistic regression and decision trees to predict cancellations in advance, and help formulate profitable policies for cancellations and refunds for the hotel group
User: rudrachatterjee
precision-recall-curve,Предиктивный анализ оттока клиентов
User: schatzederwelt
precision-recall-curve,Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.
User: sharmaroshan
precision-recall-curve,Machine learning utility functions and classes.
User: stefmolin
precision-recall-curve,A Portuguese hotel group seeks to understand reasons for its excessive cancellation rates.
User: tpurcell0122github
precision-recall-curve,Resampling exercise to predict accuracy, precision, and sensitivity in credit-loan risk
User: tracari
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.