Machine Learning for OpenCV 4 - Second Edition

Loading the dataset

The full dataset is part of scikit-learn's example datasets. We can import it using the following commands:

1. First, let's load the dataset using the load_breast_cancer function:

In [1]: from sklearn import datasets...     data = datasets.load_breast_cancer()

2. As in the previous examples, all data is contained in a 2D feature matrix, data.data, where the rows represent data samples and the columns are the feature values:

In [2]: data.data.shapeOut[2]: (569, 30)

3. With a look at the provided feature names, we recognize some that we mentioned earlier:

In [3]: data.feature_namesOut[3]: array(['mean radius', 'mean texture', 'mean perimeter',               'mean area', 'mean smoothness', 'mean compactness', 'mean concavity', 'mean concave points', ...