prostate cancer.zip
This is the dataset of 100 patients to implement the machine learning algorithm and thereby interpreting results
The data set consists of 100 observations and 10 variables (out of which 8 numeric variables and one categorical variable and 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
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Additional Information
Field | Value |
---|---|
Data last updated | October 8, 2024 |
Metadata last updated | October 8, 2024 |
Created | October 8, 2024 |
Format | ZIP |
License | Creative Commons Attribution |
Datastore active | False |
Has views | False |
Id | 8d55b029-d474-40de-9154-5d271819d1d2 |
Mimetype | application/zip |
Package id | 021b7aaa-ea1b-4fa5-84eb-f64ba4f8eb73 |
Position | 0 |
Size | 1.8 KiB |
State | active |
Url type | upload |