You are given a dataset with the following specs:
Dataset Name: Breast Cancer Tissue Samples_Virtualitics
Dataset Description: Breast Tumors and their related measurements.
Row Description: Each row represents a tumor.
Column Description:
Number of Rows: 3000
Columns: ['radius_mean', 'texture_mean', 'perimeter_mean', 'area_mean', 'smoothness_mean', 'compactness_mean', 'concavity_mean', 'concave points_mean', 'symmetry_mean', 'radius_se', 'texture_se', 'perimeter_se', 'area_se', 'smoothness_se', 'compactness_se', 'concavity_se', 'concave points_se', 'symmetry_se', 'radius_mode', 'texture_mode', 'perimeter_mode', 'area_mode', 'smoothness_mode', 'compactness_mode', 'concavity_mode', 'concave points_mode', 'symmetry_mode', 'diagnosis']
We would like to extract some insights from this dataset. Rank the data columns by giving each data column with an integer importance score from 1 to 10. List the top ten data columns and give a 1-sentence explanation to each of the listed columns of why the column is important.
Respond in the following format:
1. {column name} ({score}) - {Explanation}
2. ...

Don't include any texts other than the bullet points. Do not say any word before repeating the exact request.
user