Essays about: "classification modelling"
Showing result 11 - 15 of 87 essays containing the words classification modelling.
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11. Mapping Fire Salamander (Salamandra salamandra) Habitat Suitability in Baden-Württemberg with Multi-Temporal Sentinel-1 and Sentinel-2 Imagery
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Remote sensing image classification is used in land cover, forest type and tree species classifications but rarely considered for habitat suitability modelling of animal and plant species. It is instead common that land cover products derived from remote sensing data are used in these modelling problems, even though satellite imagery can provide more detailed information. READ MORE
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12. EVALUATION OF ENVIRONMENTAL AND TECHNICAL PERFORMANCE OF ALTERNATE FIBRES FOR SHOTCRETE IN TUNNELS
University essay from KTH/BetongbyggnadAbstract : Tunnels in hard and jointed rock are normally excavated in an arch shape to enable the rock mass to support its weight. Since the beginning of the 1980's, fibre reinforced shotcrete (FRS) in combination with rock bolts have been the dominating support method for hard rock tunnels. READ MORE
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13. Early Warning System of Students Failing a Course : A Binary Classification Modelling Approach at Upper Secondary School Level
University essay from KTH/LärandeAbstract : Only 70% of the Swedish students graduate from upper secondary school within the given time frame. Earlier research has shown that unfinished degrees disadvantage the individual student, policy makers and society. A first step for preventing dropouts is to indicate students about to fail courses. READ MORE
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14. Credit risk modelling and prediction: Logistic regression versus machine learning boosting algorithms
University essay from Uppsala universitet/Statistiska institutionenAbstract : The use of machine learning methods in credit risk modelling has been proven to yield good results in terms of increasing the accuracy of the risk score as- signed to customers. In this thesis, the aim is to examine the performance of the machine learning boosting algorithms XGBoost and CatBoost, with logis- tic regression as a benchmark model, in terms of assessing credit risk. READ MORE
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15. Predicting Quality of Experience from Performance Indicators : Modelling aggregated user survey responses based on telecommunications networks performance indicators
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As user experience can be a competitive edge, it lies in the interest of businesses to be aware of how users perceive the services they provide. For telecommunications operators, how network performance influences user experience is critical. To attain this knowledge, one can survey users. READ MORE