Essays about: "SVC"

Showing result 1 - 5 of 24 essays containing the word SVC.

1. 1. 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

3. 2. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning

   University essay from Lunds universitet/Matematisk statistik

   Author : Magnus Gerde; [2023]
   Keywords : Churn; CLV; SVM; Logistic Regression; Linear Regression; Random Forest Model; Mathematics and Statistics;

   Abstract : In an evermore competitive environment for companies and business, predictive customer behaviour models can give companies a competitive edge over its competitors. Two such important predictive behaviour models are customer churn models and customer lifetime value (CLV) models. READ MORE

4. 3. Deep Learning-Based Approach for Fusing Satellite Imagery and Historical Data for Advanced Traffic Accident Severity

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Gowtham Kumar Sandaka; Praveen Kumar Madhamsetty; [2023]
   Keywords : Traffic accidents; Satellite imagery; Logistic Regression; Random Forest; SVC; VGG19; hybrid model; CNN; self-driving cars; best-performing algorithm; literature review;

   Abstract : Background. This research centers on tackling the serious global problem of trafficaccidents. With more than a million deaths each year and numerous injuries, it’svital to predict and prevent these accidents. READ MORE

5. 4. Classification of hyperkinesia in Parkinson patients using mobile sensors

   University essay from Lunds universitet/Matematisk statistik

   Author : Gustaf von Grothusen; [2022]
   Keywords : Dyskinesia; hyperkinesia; Parkinson s disease; support vector machine; SVM; SVR; SVC; feature engineering; digital phenotyping; CDRS; smartphone; accelerometer; Mathematics and Statistics;

   Abstract : In this thesis, we explore the possibility to monitoring hyperkinesia in people who suffer from Parkinson's disease (PD) using sensors in mobile phones. This is done by first collecting data from 25 patients diagnosed with PD by using a sensor-recording smartphone in a bag attached to the stomach, and at the same time let trained professionals make assessments of the degree of which they show signs of hyperkinesia, on the clinical dyskinesia rating scale, CDRS. READ MORE

6. 5. Comparative analysis for filtering toxic messages using machine learning models

   University essay from KTH/Hälsoinformatik och logistik

   Author : Mats-Hjalmar Murman; Jacob Lundin; [2022]
   Keywords : Machine learning; Regression; Classifier; Toxicity filter; API; Tensorflow; Scikit-learn; maskininlärning; regression; klassifiering; olämplighetsfilter; API; Tensorflow; Scikit-learn;

   Abstract : Online communication has become prevalent within today’s society. The issue with such platforms is that people are allowed to express what they want without repercussion. Consequently, toxicity on these platforms becomes common. One approach to limit such inappropriate messages could be using a filtering method. READ MORE