breastcancer: Breast Cancer Wisconsin Original Data Set

In vonjd/OneR: One Rule Machine Learning Classification Algorithm with Enhancements

Description

Dataset containing the original Wisconsin breast cancer data.

Usage

data(breastcancer)

Format

A data frame with 699 instances and 10 attributes. The variables are as follows:

Details

1. Clump Thickness: 1 - 10

2. Uniformity of Cell Size: 1 - 10

3. Uniformity of Cell Shape: 1 - 10

4. Marginal Adhesion: 1 - 10

5. Single Epithelial Cell Size: 1 - 10

6. Bare Nuclei: 1 - 10

7. Bland Chromatin: 1 - 10

8. Normal Nucleoli: 1 - 10

9. Mitoses: 1 - 10

10. Class: benign, malignant

References

The data were obtained from the UCI machine learning repository, see https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Original)

Examples

data(breastcancer)
data <- optbin(breastcancer, method = "infogain")
model <- OneR(data, verbose = TRUE)
summary(model)
plot(model)
prediction <- predict(model, data)
eval_model(prediction, data)

vonjd/OneR documentation built on May 3, 2019, 6:41 p.m.