Language: | Slovenian |
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Year of publishing: | 2023 |
Typology: | 2.11 - Undergraduate Thesis |
Organization: | UL FRI - Faculty of Computer and Information Science |
Publisher: | [N. Kovačič] |
UDC: | 004.8(043.2) |
COBISS: | 169130755 |
Views: | 49 |
Downloads: | 6 |
Average score: | 0 (0 votes) |
Metadata: |
Secondary language: | English |
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Secondary title: | Time Series with Classification and Rejection |
Secondary abstract: | In this thesis we present an approach to predicting events of drastic changes in the exchange rate of cryptocurrencies. For prediction we use the XGBClassifier model and the convolutional neural network. We compare their prediction accuracy and the change in prediction accuracy when predicting with the option of rejection. |
Secondary keywords: | timeseries;timeseries with rejection;convolutional neural networks;computer science;diploma;Računalništvo;Univerzitetna in visokošolska dela; |
Type (COBISS): | Bachelor thesis/paper |
Study programme: | 1000468 |
Embargo end date (OpenAIRE): | 1970-01-01 |
Thesis comment: | Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Pages: | 35 str. |
ID: | 21439492 |