As a property developer in California, you want to determine the most profitable area for a new development. This would thus require striking a balance between the cost of acquiring property on which to construct a new development and the amount for which units in that development can be sold. Figure 1 shows the longitude and latitude data overlaid on a map of California. More expensive areas are dark blue and less expensive areas are light blue.
As a property developer in California, you want to determine the most profitable area for a new development. This would thus require striking a balance between the cost of acquiring property on which to construct a new development and the amount for which units in that development can be sold. Figure 1 shows the longitude and latitude data overlaid on a map of California. More expensive areas are dark blue and less expensive areas are light blue.
Use Figure 1 and the two regions created by the first split in your fitted decision tree to justify which region would be best for a new development project. Remember that “value” on the decision tree indicates the mean of the values of houses in that region of the feature space.
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Figure 1: Housing area value plotted according to latitude and longitude.
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