Examples.md

@@ -15,22 +15,30 @@ All the examples are executed using cross-validation.
 
 The data set contains 9 variables with 442 samples. The target variable for prediction in the following example is 'Depth'. The variable is also used to visually evaluate sampling quality via distribution plot.
 
-## Sampling
+## Sampling and corresponding network structure
 
 ### K2 metric sampling example
 
+<img width="353" alt="K2 geo" src="https://user-images.githubusercontent.com/86363785/188191005-45898257-ff57-4a5c-ba6c-1012c28e689e.png">
+
 ![k2](https://user-images.githubusercontent.com/86363785/188129119-dfa62b6d-b1fd-4e63-aa75-fb7aafba95a1.png)
 
 ### Sampling with K2 + GMM example
 
+<img width="566" alt="K2 + GMM geo" src="https://user-images.githubusercontent.com/86363785/188191226-4c7c3e7a-d91a-4c43-81b5-39698c87c0b8.png">
+
 ![geo_k2_gmm](https://user-images.githubusercontent.com/86363785/188129748-ce239eb4-bbab-43f0-9d80-c92483f27613.png)
 
 ### Sampling with K2 + GMM + logit nodes example
 
+<img width="637" alt="K2 + gmm + logit geo" src="https://user-images.githubusercontent.com/86363785/188191300-759aa54d-3d2e-4b50-80d5-7fa7347e557f.png">
+
 ![geo_k2_gmm_logit](https://user-images.githubusercontent.com/86363785/188129774-a3695199-776d-493f-8a9c-bf78125f03fb.png)
 
 ### K2 with initial structure sampling
 
+<img width="489" alt="K2 + initial geo" src="https://user-images.githubusercontent.com/86363785/188191568-7d3d6ea5-3e41-458b-b472-321575080c93.png">
+
 ![geo_k2_expert](https://user-images.githubusercontent.com/86363785/188129863-b8777153-eb31-4e8f-b8bf-b87e7c959035.png)
 
 
@@ -44,21 +52,29 @@ The second example is similar to the previous one, but carried out on different
 
 ### K2 metric sampling example
 
+<img width="335" alt="K2 social" src="https://user-images.githubusercontent.com/86363785/188191646-df3db0d2-a3fb-44f5-b6ae-db821270c832.png">
+
 ![socio_k2](https://user-images.githubusercontent.com/86363785/188132481-2ae015e4-69a0-4025-84ef-c96aad6dd98e.png)
 
 
 ### Sampling with K2 + GMM example
 
+<img width="445" alt="K2 + GMM social" src="https://user-images.githubusercontent.com/86363785/188191751-ef9521a5-e802-4f97-b2dd-5ad75fbece85.png">
+
 ![social_k2_gmm](https://user-images.githubusercontent.com/86363785/188132496-e49ebf7d-d603-406a-a199-8cbc3e3c256c.png)
 
 
 ### Sampling with K2 + GMM + logit nodes example
 
+<img width="356" alt="K2 +GMM + logit social" src="https://user-images.githubusercontent.com/86363785/188191862-f7a4140d-adab-45cb-919e-649fa9616aee.png">
+
 ![social_k2_gmm_logit](https://user-images.githubusercontent.com/86363785/188132505-72b257f8-fb38-47b3-ad19-a670bd31c6d9.png)
 
 
 ### K2 with initial structure sampling
 
+<img width="366" alt="K2 initial social" src="https://user-images.githubusercontent.com/86363785/188191934-ee92be5a-b662-45ef-bd89-c9372ce4dfae.png">
+
 ![socio_expert](https://user-images.githubusercontent.com/86363785/188132518-5d463979-3b9d-46b0-8cda-5cef791ec98c.png)
 
 # Prediction MSE table for both examples