8
A. Kumar et al.
Fig. 1 Process involved in
the methodology
Training Data was
obtained.
Machine Learning
models (Linear and
Polynomial
Regression) were
created.
Prediction Curves
were obtained from
the models.
Models were
compared and
suitable model was
selected.
Hypothesis
polynomial of the
curve was obtained
from the suitable
model.
Values of mechanical
properties were
obtained from the
hypothesis
polynomial.
Fig. 2 Linear regression prediction curve for a tensile strength versus oven residence time, b impact
strength versus oven residence time, c flexure strength versus oven residence time
A. Kumar et al.
Fig. 1 Process involved in
the methodology
Training Data was
obtained.
Machine Learning
models (Linear and
Polynomial
Regression) were
created.
Prediction Curves
were obtained from
the models.
Models were
compared and
suitable model was
selected.
Hypothesis
polynomial of the
curve was obtained
from the suitable
model.
Values of mechanical
properties were
obtained from the
hypothesis
polynomial.
Fig. 2 Linear regression prediction curve for a tensile strength versus oven residence time, b impact
strength versus oven residence time, c flexure strength versus oven residence time
