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Underfitting is the inverse of overfitting, meaning that the statistical model or machine learning algorithm is too simplistic to accurately capture the patterns in the data. A sign of underfitting is that there is a high bias and low variance detected in the current model or algorithm used (the inverse of overfitting: low bias and high variance).
High-variance learning methods may be able to represent their training set well but are at risk of overfitting to noisy or unrepresentative training data. In contrast, algorithms with high bias typically produce simpler models that may fail to capture important regularities (i.e. underfit) in the data.
The lede correctly says that "Overfitting generally occurs when a model is excessively complex". This occurs when there are too many explanatory variables. The degrees of freedom is the number of observations minus the number of explanatory variables. Therefore overfitting occurs when there are too few degrees of freedom. Also, the lede in ...
Gazumping occurs when a seller (especially of property) accepts a verbal offer (a promise to purchase) on the property from one potential buyer, but then accepts a higher offer from someone else.
A real estate transaction is the process whereby rights in a unit of property (or designated real estate) are transferred between two or more parties, e.g., in the case of conveyance, one party being the seller(s) and the other being the buyer(s). It can often be quite complicated due to the complexity of the property rights being transferred ...
Real estate benchmarking is the standard of measurement used to analyze the financial characteristics of a real estate investment property. In the general sense, real estate benchmarking refers to the comparison of potential real estate investment properties against a predetermined framework of measurement. In a narrow sense, the term real ...
Real estate is property consisting of land and the buildings on it, along with its natural resources such as growing crops (e.g. timber), minerals or water, and wild animals; immovable property of this nature; an interest vested in this (also) an item of real property, (more generally) buildings or housing in general.
Several of the India's publicly traded real estate firms are in debt. The inventory of unsold real estate assets is growing and it is expected the market will undergo price corrections. [35] According to Mumbai-based market research agency, Liases Foras, 30% of the transaction in the real estate sector is done with black money. [36]