text: Title: The best model and final model in RANSAC are not same.
  Body: ### Describe the bug
  
  The best model and final model in RANSAC are not same. Therefore, the final model inliers may not be same as the best model inliers.
  
  In `_ransac.py`,  the following code snippet computes the final model using all inliers so the final model is not same as the best model computed using the selected samples before.
  
  ```python
          estimator.fit(X_inlier_best, y_inlier_best, **fit_params_best_idxs_subset)
  
          self.estimator_ = estimator
          self.inlier_mask_ = inlier_mask_best
  ```
  
  ### Steps/Code to Reproduce
  
  Please debug the code using a custom loss function.  Probably, you would observe the difference for default loss functions as well.
  
  ### Expected Results
  
  Different `estimator.coef_` and `estimator.intercept_` for the best and final estimators. Accordingly, `inlier_mask_best` are not same for the best estimator and the final estimator. However, the code uses the best estimator's `inlier_mask_best` for the final estimator.
  
  ### Actual Results
  
  The best estimator:
  
  ```python
  estimator.coef_
  array([0.03249012], dtype=float32)
  estimator.intercept_
  -0.0016712397
  ```
  
  The final estimator:
  
  ```python
  estimator.coef_
  array([0.03334882], dtype=float32)
  estimator.intercept_
  -0.0047605336
  ```
  
  ### Versions
  
  ```shell
  System:
      python: 3.10.9 | packaged by conda-forge | (main, Feb  2 2023, 20:20:04) [GCC 11.3.0]
  executable: /opt/conda/bin/python
     machine: Linux
  
  Python dependencies:
        sklearn: 1.5.2
            pip: 24.2
     setuptools: 75.1.0
          numpy: 1.26.4
          scipy: 1.13.0
         Cython: None
         pandas: 2.1.1
     matplotlib: 3.5.3
         joblib: 1.4.2
  threadpoolctl: 3.5.0
  
  Built with OpenMP: True
  
  threadpoolctl info:
         user_api: openmp
     internal_api: openmp
      num_threads: 8
           prefix: libgomp
         filepath: /opt/conda/lib/libgomp.so.1.0.0
          version: None
  
         user_api: blas
     internal_api: mkl
      num_threads: 4
           prefix: libmkl_rt
         filepath: /opt/conda/lib/libmkl_rt.so.2
          version: 2023.1-Product
  threading_layer: intel
  
         user_api: openmp
     internal_api: openmp
      num_threads: 4
           prefix: libomp
         filepath: /opt/conda/lib/libomp.so
          version: None
  
         user_api: blas
     internal_api: openblas
  
  
         num_threads: 8
         prefix: libopenblas
         filepath: /opt/conda/lib/python3.10/site-packages/scipy.libs/libopenblasp-r0-24bff013.3.26.dev.so
          version: 0.3.26.dev
  threading_layer: pthreads
     architecture: SkylakeX
  
         user_api: openmp
     internal_api: openmp
      num_threads: 8
           prefix: libgomp
         filepath: /opt/conda/lib/python3.10/site-packages/scikit_learn.libs/libgomp-a34b3233.so.1.0.0
          version: None
  ```
  