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The development of a housing prices prediction model can assist a house seller or a real estate agent to make better-informed decisions based on house price valuation. Only a few works report the use of machine learning (ML) algorithms to predict the values of properties in Brazil. This study analyzes a dataset composed of 12,223,582 housing advert...
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Context 1
... predict the property prices, we developed two different architectures, which are depicted in Figure 3. The first architecture (Fig. 3a) is based on the enrichment process of the location features combined to Regex on textual attributes. ...
Context 2
... predict the property prices, we developed two different architectures, which are depicted in Figure 3. The first architecture (Fig. 3a) is based on the enrichment process of the location features combined to Regex on textual attributes. After these steps, the RF algorithm was used to predict property prices. The KISS Model (Fig. 3b) KISS is an acronym to 'keep it simple, stupid', whose insight to develop it was to combine all the features into a unique model without ...
Context 3
... predict the property prices, we developed two different architectures, which are depicted in Figure 3. The first architecture (Fig. 3a) is based on the enrichment process of the location features combined to Regex on textual attributes. After these steps, the RF algorithm was used to predict property prices. The KISS Model (Fig. 3b) KISS is an acronym to 'keep it simple, stupid', whose insight to develop it was to combine all the features into a unique model without losing the sequence of text, since the meaning of words changes according to their position. Therefore BiLSTM [Schuster and Paliwal 1997] was chosen because of its robustness to maintain the order of ...
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