Essays about: "discriminant analysis"

Showing result 1 - 5 of 64 essays containing the words discriminant analysis.

  1. 1. Predicting the size of a company winning a procurement: an evaluation study of three classification models

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Ellen Björkegren; [2022]
    Keywords : public procurement; classification; Linear Discriminant Analysis; Random Forests; Support Vector Machines;

    Abstract : In this thesis, the performance of the classification methods Linear Discriminant Analysis (LDA), Random Forests (RF), and Support Vector Machines (SVM) are compared using procurement data to predict what size company will win a procurement. This is useful information for companies, since bidding on a procurement takes time and resources, which they can save if they know their chances of winning are low. READ MORE

  2. 2. Predicting the outcome of IVF treatments using forward selection regression and linear discriminant analysis

    University essay from Lunds universitet/Matematisk statistik

    Author : Agnes Ekman; Linnéa Fahlberg; [2022]
    Keywords : Mathematics and Statistics;

    Abstract : As more and more In Vitro Fertilizaiton (IVF) treatments are performed each year, there is a need to better predict the outcomes of different stages of the treatment and hence get a better understanding of which hormonal and physical parameters affect the treatment outcome and in what way. In this study, the effect of interaction between baseline AMH (anti-mullerian hormone) and DFI (DNA fragmentation index) on the chance of obtaining at least one good quality embryo was investigated, but no significance was found. READ MORE

  3. 3. Predicting basketball performance based on draft pick : A classification analysis 

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Fredrik Harmén; [2022]
    Keywords : machine learning; linear discriminant analysis; k-nearest neighbors; support vector machines; random forests;

    Abstract : In this thesis, we will look to predict the performance of a basketball player coming into the NBA depending on where the player was picked in the NBA draft. This will be done by testing different machine learning models on data from the previous 35 NBA drafts and then comparing the models in order to see which model had the highest accuracy of classification. READ MORE

  4. 4. Sleep apnea prediction in a Swedish cohort : Can the STOP-Bang questionnaire be improved?

    University essay from Umeå universitet/Statistik

    Author : Miriam Gladh; [2022]
    Keywords : ;

    Abstract : Obstructive sleep apnea (OSA) is defined as more than five breathing pauses per hour of sleep, an apnea-hypopnea index (AHI) > 5. STOP-Bang is a questionnaire that predicts the risk of sleep apnea based on risk factors, like snoring, hypertension, and throat circumference greater than 40 cm. READ MORE

  5. 5. E-noses equipped with Artificial Intelligence Technology for diagnosis of dairy cattle disease in veterinary

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

    Author : Farbod Haselzadeh; [2021]
    Keywords : Artificial intelligence; Electronic nose; Gas sensor arrays; Principal component analysis; Autoencoder; Veterinary diagnose; Feature extraction; Dimentionality reduction; Normalization; Maskin intelligence; Artificial intelligence; Elektronisk näsa; Gas sensore array; Normalisering; dimensionalitetsminskning; Autoencoder; Klassificering AI; E-nose; Feature Extraction; Normalization; PCA; Autoencoder; Encoder; Decoder; MLP; Classifier; LDA; Support Vector Machine; Logistic Regression; Cross Validation; Signal segmentation;

    Abstract : The main goal of this project, running at Neurofy AB, was that developing an AI recognition algorithm also known as, gas sensing algorithm or simply recognition algorithm, based on Artificial Intelligence (AI) technology, which would have the ability to detect or predict diary cattle diseases using odor signal data gathered, measured and provided by Gas Sensor Array (GSA) also known as, Electronic Nose or simply E-nose developed by the company. Two major challenges in this project were to first overcome the noises and errors in the odor signal data, as the E-nose is supposed to be used in an environment with difference conditions than laboratory, for instance, in a bail (A stall for milking cows) with varying humidity and temperatures, and second to find a proper feature extraction method appropriate for GSA. READ MORE