Figure 6
A horizontal bar chart compares the mean squared log error values of five regression models.The horizontal axis is labeled “mean underscore squared underscore log underscore error” and ranges from 0 to 0.2 in increments of 0.05 units. The vertical axis shows five models labeled from top to bottom as “Proposed system,” “Bayesian Ridge,” “Lasso Regression,” “M L P Regressor,” and “S V R.” Each model has one horizontal bar. The data from the bars is as follows: Proposed system: 0.0013806880733000701. Bayesian Ridge: 0.0030741688251750576. Lasso Regression: 0.17843386082033053. M L P Regressor: 0.15123498513411204. S V R: 0.16994458128649434. Note: All numerical data values are approximated.

Comparison in the mean_squared_log_error criterion. Source(s): The authors

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