Topic: roc-auc-curve Goto Github
Some thing interesting about roc-auc-curve
Some thing interesting about roc-auc-curve
roc-auc-curve,This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.
User: aarryasutar
roc-auc-curve,predicting teachers' project proposals will be approved or not
User: abhi24krishna
roc-auc-curve,Use various machine learning models to see how accurate they are in detecting whether a transaction is a normal payment or a fraud.
User: adityabrahme98
roc-auc-curve,Predict survival on the Titanic and get familiar with ML basics.
User: agomolka
Home Page: https://www.kaggle.com/c/titanic
roc-auc-curve,Data analysis, visualization and prediction to predict whether a patient has benign or malignant breast cancer based on properties of the cancer
User: buffless24
roc-auc-curve,PD model using Logistic Regression in Python
User: chomiczdawid
roc-auc-curve,Multiclass classification model of penguins species.
User: domingosdeeulariadumba
roc-auc-curve,e2e machine learning pipeline using a config based approach for classification problems. Supports grouping and grading classifiers in addition to online learning algorithms
User: edwinthomas444
roc-auc-curve,Junky Union is creating a system to sort movie reviews. They aim to train a model to detect negative reviews using the IMBD dataset with polarity labeling. The model must classify reviews as positive or negative with an F1 score of at least 0.85.
User: gunturwibawa
roc-auc-curve,The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.
User: harmanveer-2546
roc-auc-curve,Predicting the presence of heart disease based on several health-related factors and Performing - i.) Data Cleaning ii.) Data Pre-Processing iii.) EDA iv.) Compare 5 different classification algorithms (Logistic Regression, Decision Tree, Random Forest, KNN and SVC)
User: harmanveer2546
roc-auc-curve,The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.
User: harmanveer2546
roc-auc-curve,GridSearchCV For Model optimization
User: hohasby
roc-auc-curve,Developed Machine Learning Model to categorize customer with more than 91% accuracy and 88% roc_auc score. Best ML model is selected after evaluating all performance metric like Accuracy, Precision & recall
User: jaunel
roc-auc-curve,Trained a classifier by using labeled data and oversampling and undersampling techniques to predict if a borrower will default on a loan. The model is intended to be used as a reference tool to help investors make informed decisions about lending to potential borrowers based on their ability to repay. The purpose is to lower risk & maximize profit.
User: jianninapinto
roc-auc-curve,Lead scoring case study
User: jitalen
roc-auc-curve,R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicated that a higher EF % is a major factor.
User: kovenda
roc-auc-curve,I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.
User: labrijisaad
roc-auc-curve,At ferreyros, prioritizing sales opportunities for spare parts and services allows them to provide the best service to customers who need it most. This challenge is to use historical opportunity data to estimate the probability of closing new opportunities.
User: larenwell
roc-auc-curve,Flexible utility functions for use with the sklearn library
User: ltw85
Home Page: https://pypi.org/project/skflex/
roc-auc-curve,Modelo de regresión logistica optimizado para mejorar la campaña de marketing de potenciales acreedores de un plazo fijo
User: maxideri
roc-auc-curve,Build Customer Segments and predict customer responses to marketing campaign for Arvato Financial Services
User: minyansh7
roc-auc-curve,Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?
User: niteshchawla
roc-auc-curve,Recruiting and retaining drivers is seen by industry watchers as a tough battle for Ola. Churn among drivers is high and it’s very easy for drivers to stop working for the service on the fly or jump to Uber depending on the rates.
User: niteshchawla
roc-auc-curve,Classification of spondylodiscitidis vs metastasis in the spine using multiple approaches in R
User: nssharmaofficial
roc-auc-curve,Identify which customer is willing to possess the insurance policy, so we campaign efficiently.
User: nvlinhvn
roc-auc-curve,AUCC (Python Implementation)
User: pajaskowiak
roc-auc-curve,Clustering validation with ROC Curves
User: pajaskowiak
roc-auc-curve,Applied supervised learning techniques on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.
User: priynkasingh
roc-auc-curve,Presentation Link: https://www.youtube.com/watch?v=MNy65IYIx24&t=13s
User: ridwan102
roc-auc-curve,The aim is to develop an ML- based predictive classification model (logistic regression & decision trees) to predict which hotel booking is likely to be canceled. This is done by analysing different attributes of customer's booking details. Being able to predict accurately in advance if a booking is likely to be canceled will help formulate profitable policies for cancelations & refunds.
User: rochitasundar
roc-auc-curve,Develop and train image classification models using advanced deep learning techniques to identify diseases specific to apples.
User: safaa-p
roc-auc-curve,Data Science - Neural Networks Work
User: saikrishnabudi
roc-auc-curve,This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.
User: sameer-ansarii
roc-auc-curve,Predict the Burned Area of Forest Fire with Neural Networks and Predicting Turbine Energy Yield (TEY) using Ambient Variables as Features.
User: shanuhalli
roc-auc-curve,Build a logistics regression learning model on the given dataset to determine whether the customer will churn or not.
User: shubham199408
roc-auc-curve,This is a project demonstrating Logistic Regression method using Python. 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.
User: smartnamdevoloper
roc-auc-curve,This project demonstrates building a classification model for imbalanced data. Feature engineering, feature selection and extensive EDA. Comparing of logistic regression, random forest and ADA Boost models are done before finalizing the best model.
User: smartnamdevoloper
roc-auc-curve,In this project, we have worked with hundreds of anonymized features to predict if a customer is satisfied or dissatisfied with their banking experience.
User: surajkumarmondal
roc-auc-curve,Machine Learning with Python
User: surayasumona
roc-auc-curve,Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform
User: tejas-ta
Home Page: https://nlp-sms-spam-detection.wm.r.appspot.com
roc-auc-curve,A Portuguese hotel group seeks to understand reasons for its excessive cancellation rates.
User: tpurcell0122github
roc-auc-curve,Time Series Classification Part 2 Binary and Multiclass Classification. An interesting task in machine learning is classification of time series. In this problem, we will classify the activities of humans based on time series obtained by a Wireless Sensor Network.
User: unnatibshah
roc-auc-curve,This is a Bio Informatics project for the classification of types of Leukemia Cancer i.e., ALL & AML based on gene expression data. An accuracy of 0.94 has been achieved by using Support Vector Machine(SVM). The dataset has been collected from 'Kaggle' where gene descriptions are given as the features.
User: varshith-alladi
roc-auc-curve,Predicting Heart Disease using Machine Learning
User: venkatesh-eranti
roc-auc-curve,Classification problem using multiple ML Algorithms
User: viveksagarsingh
roc-auc-curve,(Python) ML models that predict diabetic status
User: xavierfactor
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