COMPARISON OF CLASSIFICATION MODELS FOR START-UP COMPANIES
Abstract
A quantitative research of the success factors of Bulgarian start-up companies is conducted. The dataset of 136 companies is analyzed with the help of two data mining software products: IBM SPSS Modeler and Weka. As a result, classification models for Bulgarian start-ups succes prediction are synthesized. The models are then analyzed, compared and the most accurate ones are selected. The success factors contained in the models are identified and the decision taking principles are observed.
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