Essays about: "Cost-sensitive"
Showing result 1 - 5 of 14 essays containing the word Cost-sensitive.
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1. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Preventive maintenance plays a vital role in optimizing industrial operations. However, detecting equipment needing such maintenance using available data can be particularly challenging due to the class imbalance prevalent in real-world applications. READ MORE
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2. Imbalanced Predictions
University essay from Lunds universitet/Statistiska institutionenAbstract : The aim of the thesis is to evaluate solutions to the class imbalance problem using real world data sets with varying degrees of class imbalance. The analysis is limited to binary classification. Three large data sets relating to credit card fraud, vehicle insurance and heart disease are used for the analysis. READ MORE
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3. Climate change mitigation policies and personal cost: Are young people more willing to bear the cost for a greener tomorrow?
University essay from Lunds universitet/Statsvetenskapliga institutionenAbstract : Even as the public awareness and concern about climate change are increasing, and the younger generations are urging for political action, support for more costly and ambitious mitigation policies is not given. The low-cost hypothesis theory provides an explanation for why our concern about climate change fails to translate into supporting policies when the personal cost is high. READ MORE
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4. Classification of Premium and Non-Premium Products using XGBoost and Logistic Regression
University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionenAbstract : In the past few years, many industries have become interested in premium product segmentation to achieve higher unit margins. In this paper, we applied machine learning algorithms to predict whether a product is premium or non-premium. READ MORE
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5. Neonatal Sepsis Detection With Random Forest Classification for Heavily Imbalanced Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Neonatal sepsis is associated with most cases ofmortality in the neonatal intensive care unit. Major challengesin detecting sepsis using suitable biomarkers has lead people tolook for alternative approaches in the form of Machine Learningtechniques. READ MORE