| hasContent: |
synthetic_df = pd.DataFrame(np.c_[
patient_id_synthetic, patient_gender_synthetic, patient_birthday_synthetic, synthetic_data, label_synthetic],
columns=["patient_id", "gender", "birthDate", "radius_mean", "texture_mean",
"perimeter_mean", "area_mean", "smoothness_mean", "compactness_mean",
"concavity_mean", "concave.points_mean", "symmetry_mean",
"fractal_dimension_mean",
"radius_se", "texture_se", "perimeter_se", "area_se", "smoothness_se",
"compactness_se", "concavity_se", "concave.points_se", "symmetry_se",
"fractal_dimension_se", "radius_worst", "texture_worst", "perimeter_worst",
"area_worst", "smoothness_worst", "compactness_worst", "concavity_worst",
"concave.points_worst", "symmetry_worst", "fractal_dimension_worst", "label"]) |
