Table 1 Datasets descriptions.

From: A hybrid bio inspired neural model based on Ropalidia Marginata behavior for multi disease classification

Dataset

No. of instances

No. of features

Feature types

Class distribution

Breast cancer

669

9

Continuous (e.g., radius, texture, smoothness)

Malignant: 212 (37.3%) Benign: 357 (62.7%)

Diabetes (Pima)

768

8

Continuous & discrete (e.g., glucose, BMI, pregnancies)

Positive: 268 (34.9%) Negative: 500 (65.1%)

Blood transfusion

748

4

Continuous (e.g., recency, frequency, amount donated)

Donated Again: 178 (23.8%) Did Not Donate: 570 (76.2%)

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