Table 3 Accuracy from simpler classifiers (Logistic Regression, Linear Regression, and Partial Least Squares) for binary and multiclass classifications that serve as baseline for our deep and ensemble learners
From: On the utilization of deep and ensemble learning to detect milk adulteration
Dataset | Classification | Logistic Regression | Linear Regression | Partial Least Squares |
90/10% | Multiclass | 0.5876 | 0.3155 | 0.3526 |
Binary | 0.7649 | 0.7959 | 0.7691 | |
75/25% | Multiclass | 0.5693 | 0.3350 | 0.3267 |
Binary | 0.7583 | 0.7962 | 0.7739 | |
50/50% | Multiclass | 0.5592 | 0.3281 | 0.3256 |
Binary | 0.7140 | 0.7920 | 0.7714 |