Essays about: "classification with data imbalance"
Showing result 11 - 15 of 27 essays containing the words classification with data imbalance.
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11. Prediction of Lead Conversion With Imbalanced Data : A method based on Predictive Lead Scoring
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : An ongoing challenge for most businesses is to filter out potential customers from their audience. This thesis proposes a method that takes advantage of user data to classify po- tential customers from random visitors to a website. READ MORE
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12. Machine Learning Applied to Reach Classification in a Northern Sweden Catchment
University essay from Umeå universitet/Institutionen för ekologi, miljö och geovetenskapAbstract : An accurate fine resolution classification of river systems positively impacts the process of assessment and monitoring of water courses, as stressed by the European Commission’s Water Framework Directive. Being able to attribute classes using remotely obtained data can be advantageous to perform extensive classification of reaches without the use of field work, with some methods also allowing to identify which features best described each of the process domains. READ MORE
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13. A Comparative Review of SMOTE and ADASYN in Imbalanced Data Classification
University essay from Uppsala universitet/Statistiska institutionenAbstract : 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
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14. Deep Learning for Deep Water: Robust classification of ship wakes with expert in the loop
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This work examines the applicability of the deep learning models to pattern recognition in acoustic ocean data. The features of the dataset include noise, data scarcity and the lack of labeled samples. A deep learning model is proposed for the task of automatic wake detection. READ MORE
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15. Forecasting Components Failure Using Ant Colony Optimization For Predictive Maintenance
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Failures are the eminent aspect of any machine and so is true for vehicle as it is one of the sophisticated machines of today’s time. Early detection of faults and prioritized maintenance is a necessity of vehicle manufactures as it enables them to reduce maintenance cost and increase customer satisfaction. READ MORE