Essays about: "lasso logistic"
Showing result 1 - 5 of 18 essays containing the words lasso logistic.
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1. Explainable Machine Learning in Cardiovascular Diagnostics
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The major challenges in implementing machine learning models in medical applications stemfrom ethical and accountability concerns, which arise from the lack of insight and understandingof the models' inner workings and reasoning. This opaqueness has resulted in the emergenceof a new subfield of machine learning called Explainability, which aims to develop and deploymethods to gain insight into how input data is weighted and propagated through a machinelearning algorithm. READ MORE
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2. Predicting misuse of subscription tranquilizers : A comparasion of regularized logistic regression, Adaptive Bossting and support vector machines
University essay from Uppsala universitet/Statistiska institutionenAbstract : Tranquilizer misuse is a behavior associated with substance use disorder. As of now there is only one published article that includes a predictive model on misuse of subscription tranquilizers. READ MORE
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3. Prediction of Air Quality Index Using Supervised Machine Learning
University essay from Blekinge Tekniska HögskolaAbstract : Background: Air pollution has become a serious environmental issue. It is responsible for hundreds of fatalities each year and it poses a serious threat to human health and environment. It leads to global warming, greenhouse effect and it also causes respiratory problems like asthma, lung cancer etc. READ MORE
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4. Predicting Subprime Customers' Probability of Default Using Transaction and Debt Data from NPLs
University essay from KTH/Matematisk statistikAbstract : This thesis aims to predict the probability of default (PD) of non-performing loan (NPL) customers using transaction and debt data, as a part of developing credit scoring model for Hoist Finance. Many NPL customers face financial exclusion due to default and therefore are considered as bad customers. READ MORE
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5. Purchase Probability Prediction : Predicting likelihood of a new customer returning for a second purchase using machine learning methods
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : When a company evaluates a customer for being a potential prospect, one of the key questions to answer is whether the customer will generate profit in the long run. A possible step to answer this question is to predict the likelihood of the customer returning to the company again after the initial purchase. READ MORE
