From the scatters of GrLivArea and SalePrice,there are two outliers points at bottom right which higher GrLivArea compare to lower SalePrice . Drop those two rule challenge guys. Deleting outliers train = train.drop(train[(train['GrLivArea']>4000) & (train['SalePrice']<300000)].index) ...
In our analysis, we explored the data provided by the stakeholder and build a multiple linear regression model with some the features stipulated in the dataset. From there, we analysed the results and came to a conclusion on the following factors that have a significant impact on the price of...
These data are fairly new and have so far been used in housing market research for house price prediction60 and reporting the dynamics of the rental market61,62. To measure changes to the spatial housing market structure, we use data from Idealista (https://www.idealista.com/), the leading...
Log houseSolar PVZero energyIn this data article, we present a supplementary dataset from a zero-energy log house project in southern Finland, presented in detail in [1]. This article consists of comprehensive energy-related data collected in practice from several sources from the house during ...
Households are asked to distribute ten points among five different scenarios for the change in the price of their homes over the next 12 months. This paper is the first empirical study to document the beliefs of a representative sample of households about the future value of their homes. It ...
Mortgage credit risk measurement hinges on the choice of a house price stress path, which is used to project loan losses and determine financial capital requirements. House price paths are commonly constructed at national or state levels and shock scenarios are created to mimic historical adverse mar...
LitQAv2TaskDataset: a task dataset designed to pull LitQA v2 from Hugging Face, and create oneGradablePaperQAEnvironmentper question Here is an example of how to use them: import os from aviary.env import TaskDataset from ldp.agent import SimpleAgent ...
(Data Citation 2). AMPds2 includes a description of the house file’s electricity use. The four distinct categories of AMPds2 data are electricity, water, natural gas, and climate [32]. In this work, the prediction analysis was conducted using the electricity dataset. for example data about...
Full size image Homophylic connectivity of the tissue-specific nodes For the HuGE Index dataset, 7 of the 19 tissue types had observed means significantly greater than the expected means, while the remaining tissue types showed a non-significant difference (Figure 6a). For the EST-SAGE dataset...
Full size image Interestingly, none of the Hox paralogs present in spiders and scorpions were found as tandem duplicates. Instead, inP. tepidariorum, the species with the most complete assembly in this genomic region, it was clear that the entire Hox cluster had been duplicated. We found one...