Essays about: "categorical features"
Showing result 11 - 15 of 18 essays containing the words categorical features.
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11. Constructiveness-Based Product Review Classification
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Promoting constructiveness in online comment sections is an essential step to make the internet a more productive place. On online marketplaces, customers often have the opportunity to voice their opinion and relate their experience with a given product. READ MORE
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12. Evaluation of different machine learning models for the prediction of electric or hybrid vehicle buyers and identification of the characteristics of the buyers in the EU
University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomiAbstract : The main goal of this thesis is to evaluate different machine learning models in order to classify buyers of an electric or a hybrid vehicle and to identify the characteristics of the buyers in the European Union. Machine learning algorithms and techniques were adopted to analyze the dataset and to create models that could predict, with a certain accuracy, the customer’s willingness to buy an EV. READ MORE
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13. Detecting Performance Anomalies in a Mobile Application with Unsupervised Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Unsupervised anomaly detection algorithms are applied with the purpose of identifying performance regressions in a mobile application. To evaluate the performance, a labeled artificial data set is generated that is based on a real data set and that aims to reflect its properties. READ MORE
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14. Anomaly Detection in Categorical Data with Interpretable Machine Learning : A random forest approach to classify imbalanced data
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Metadata refers to "data about data", which contains information needed to understand theprocess of data collection. In this thesis, we investigate if metadata features can be usedto detect broken data and how a tree-based interpretable machine learning algorithm canbe used for an effective classification. The goal of this thesis is two-fold. READ MORE
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15. CONSTRUCTING AND VARYING DATA MODELS FOR UNSUPERVISED ANOMALY DETECTION ON LOG DATAData modelling and domain knowledge’s impact on anomaly detection and explainability
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : As the complexity of today’s systems increases, manual system monitoring and log file analysis are no longer applicable, giving an increasing need for automated anomaly detection systems. However, most current research in the domain, tend to focus only on the technical details of the frameworks and the evaluations of the algorithms, and how this impacts anomaly detection results. READ MORE
