Essays about: "SMOTE"

Showing result 21 - 25 of 33 essays containing the word SMOTE.

  1. 21. A Comparative Review of SMOTE and ADASYN in Imbalanced Data Classification

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Jakob Brandt; Emil Lanzén; [2021]
    Keywords : Machine learning; supervised learning; classification; class imbalance; over-sampling; SMOTE; ADASYN; Sensitivity; F-measure; Matthews correlation coefficient;

    Abstract : In this thesis, the performance of two over-sampling techniques, SMOTE and ADASYN, is compared. The comparison is done on three imbalanced data sets using three different classification models and evaluation metrics, while varying the way the data is pre-processed. READ MORE

  3. 22. Logistic regression analysis of If’s car insurance market share : Purposeful selection of covariates benchmarked with elastic net, PCA and random forest

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Alice Harting; [2021]
    Keywords : ;

    Abstract : This project aims to build a logistic regression model of the car insurance market share of If Skadeförsäkring AB. The model is constructed by producing a set of candidates with reduced multicollinearity, subjecting each to purposeful selection of covariates and comparing the resulting summary statistics. READ MORE

  4. 23. Classification of COVID-19 Using Synthetic Minority Over-Sampling and Transfer Learning

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Christian Ormos; [2020]
    Keywords : transfer learning; AI; machine learning; image recognition; image augmentation; covid-19; VGG; MobileNet; InceptionV3; SMOTE; k-nn;

    Abstract : The 2019 novel coronavirus has been proven to present several unique features on chest X-rays and CT-scans that distinguish it from imaging of other pulmonary diseases such as bacterial pneumonia and viral pneumonia unrelated to COVID-19. However, the key characteristics of a COVID-19 infection have been proven challenging to detect with the human eye. READ MORE

  5. 24. Tackling imbalanced data in Random Forest to predict free-to-fee transitions of a subscription SaaS-application

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

    Author : Anna Karlhede; [2020]
    Keywords : ;

    Abstract : In this thesis we investigate different methods to tackle imbalanced data when using Random Forest for classification. The data comes from a subscription SaaS-application, namely Mentimeter, which allows users to create interactive presentations. READ MORE

  6. 25. Statistical Modeling of Dynamic Risk in Security Systems

    University essay from KTH/Matematisk statistik

    Author : Gurpreet Singh; [2020]
    Keywords : Statistics; applied mathematics; machine learning; forecasting; neural networks; logistic regression; resampling; classifier chains; binary relevance; Statistik; tillämpad matematik; maskininlärning; neurala nätverk; logistisk regression;

    Abstract : Big data has been used regularly in finance and business to build forecasting models. It is, however, a relatively new concept in the security industry. This study predicts technology related alarm codes that will sound in the coming 7 days at location $L$ by observing the past 7 days. READ MORE