Essays about: "Support Vector Classifier."

Showing result 1 - 5 of 118 essays containing the words Support Vector Classifier..

1. 1. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Dhanush Janapareddy; Narendra Chowdary Yenduri; [2023]
   Keywords : Machine Learning; Logistic Regression; Random Forest; Support Vector Machine; Ensemble Learning Bagging.;

   Abstract : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. READ MORE

3. 2. A requirements engineering approach in the development of an AI-based classification system for road markings in autonomous driving : a case study

   University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Author : Srija Sunkara; [2023]
   Keywords : Requirements Engineering; Machine Learning; Goal-Oriented Requirements Engineering; Autonomous Driving; Point Cloud Classification;

   Abstract : Background: Requirements engineering (RE) is the process of identifying, defining, documenting, and validating requirements. However, RE approaches are usually not applied to AI-based systems due to their ambiguity and is still a growing subject. READ MORE

4. 3. Predicting Risk Level in Life Insurance Application : Comparing Accuracy of Logistic Regression, DecisionTree, Random Forest and Linear Support VectorClassifiers

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Pulagam Karthik Reddy; Sutapalli Veerababu; [2023]
   Keywords : Decision Tree Classifier; Logistic Regression; Machine Learning; Random Forest Classifier; Linear Support Vector Classifier;

   Abstract : Background: Over the last decade, there has been a significant rise in the life insurance industry. Every life insurance application is associated with some level ofrisk, which determines the premium they charge. The process of evaluating this levelof risk for a life insurance application is time-consuming. READ MORE

5. 4. Auto-scaling Prediction using MachineLearning Algorithms : Analysing Performance and Feature Correlation

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Syed Saif Ahmed; Harshini Devi Arepalli; [2023]
   Keywords : Cloud Computing; Predictive Auto-Scaling; Machine Learning; Data Correlation;

   Abstract : Despite Covid-19’s drawbacks, it has recently contributed to highlighting the significance of cloud computing. The great majority of enterprises and organisations have shifted to a hybrid mode that enables users or workers to access their work environment from any location. READ MORE

6. 5. Predicting Breakdowns in Transportation Vehicles using Supervised Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Shuo Li; [2023]
   Keywords : Breakdown Prediction; Transportation Vehicles; Diagnose; Gradient Boosting Classifier; Ensemble Model; Förutsägelse av haveri; transportfordon; diagnos; Gradient Boosting Classifier; Ensemblemodell;

   Abstract : Vehicle breakdowns can lead to fatal accidents, increase costs and reduce productivity. Therefore, robust and accurate fault diagnosis and prediction systems are critical to ensure the proper operation of vehicles. Many researchers have used machine learning for the prediction of vehicle breakdowns. READ MORE