This is a dataset of 100 patients to implement the machine learning algorithms and thereby interpreting results.
The data set consists of 100 observations and 10 variables (out of which 8 are numeric variables and one is categorical variable that is ID) which are as follows:
Id
1.Radius
2.Texture
3.Perimeter
4.Area
5.Smoothness
6.Compactness
7.diagnosis_result
8.Symmetry
9.Fractal dimension