(Attached the estimated model and graph to support your explanation)
Posted: Mon Jul 11, 2022 9:54 am
(Attached the estimated model and graph to support yourexplanation)
y 40 30 20 10 0 -10 -20 0 RANSAC regressor: data with noise and outliers RANSAC regression model Training data with noise and outliers 20 40 X 60 80
y 40 30 20 10 0 -10 -20 0 20 Our inliers 40 X 60 80
y 40 30 20 10 0 -10 -20 0 Estimated model using inliers Pakis LR model using inliers data with noise and outliers 20 40 X 60 80
Count 200 150 100 50 0 Residual histogram (data with noise and outliers) -10 0 10 Residual 20 1 30
y 40 30 20 10 0 -10 -20 0 RANSAC regressor: data with noise and outliers RANSAC regression model Training data with noise and outliers 20 40 X 60 80
y 40 30 20 10 0 -10 -20 0 20 Our inliers 40 X 60 80
y 40 30 20 10 0 -10 -20 0 Estimated model using inliers Pakis LR model using inliers data with noise and outliers 20 40 X 60 80
Count 200 150 100 50 0 Residual histogram (data with noise and outliers) -10 0 10 Residual 20 1 30