Figure 8
The vertical axis of the grouped horizontal bar graph lists five methods: “Proposed system,” “Bayesian Ridge,” “Lasso Regression,” “M L P Regressor,” and “S V R.” The horizontal axis of the graph represents error and score values. The graph contains four colored horizontal bars for each method, corresponding to the metrics “mean underscore squared underscore log underscore error,” “mean underscore squared underscore error,” “mean underscore absolute underscore error,” and “r 2 underscore score.” The legend at the bottom identifies the color assigned for each error and score values. The data from the graph is as follows: Proposed system: mean underscore squared underscore log underscore error: 0.00138; mean underscore squared underscore error: 0.03323; mean underscore absolute underscore error: 0.02105; r 2 underscore score: 0.98744. Bayesian Ridge: mean underscore squared underscore log underscore error: 0.00307; mean underscore squared underscore error: 0.06803; mean underscore absolute underscore error: 0.12000; r 2 underscore score: 0.97376. Lasso Regression: mean underscore squared underscore log underscore error: 0.17843; mean underscore squared underscore error: 2.77989; mean underscore absolute underscore error: 1.11770; r 2 underscore score: 0.07212. M L P Regressor: mean underscore squared underscore log underscore error: 0.15123; mean underscore squared underscore error: 0.25039; mean underscore absolute underscore error: 0.35324; r 2 underscore score: 0.90343. S V R: mean underscore squared underscore log underscore error: 0.16994; mean underscore squared underscore error: 2.65497; mean underscore absolute underscore error: 1.39142; r 2 underscore score: 0.02396.Comparison of results in different implemented methods. Source(s): The authors