Data Set Information:
The dataset comprises 768 samples and 8 features, aiming to predict a real valued responses.
Attribute Information:
The dataset contains eight attributes (or features, denoted by X1...X8) and one response (denoted by output). The aim is to use the eight features to predict the response.
X1	Relative Compactness
X2	Surface Area
X3	Wall Area
X4	Roof Area
X5	Overall Height
X6	Orientation
X7	Glazing Area
X8	Glazing Area Distribution
X6(Orientation) i and X8(Glazing Area Distribution) take integer values . All the other attributes are continuous and real valued.