Differences

This shows you the differences between two versions of the page.

--- prediction [2021/01/30 14:11] – [Training report] krian
+++ prediction [2021/01/30 14:22] (current) – [Model explanation] krian
@@ Line 67: / Line 67: @@
 ===== Training report =====
-The report page of the Prediction tool -training step- includes different output results. You can download any table or image showed in the results page by clicking on the name right before it. You can also download the pathway and function matrices by clicking on //Circuit values//.
+The report page of the Prediction tool includes different output results. You can download any table or image showed in the results page by clicking on the name right before it. You can also download the pathway and function matrices by clicking on //Circuit values//.
-The results are divided into different panels:
+The results are divided in different panels:
 ==== Study Information ====
 Here you can find the information about the selected study.
@@ Line 124: / Line 124: @@
 You can download the filtered circuits that best differentiate your phenotype. This section is only available when selecting //Rank and filter circuits// option.
 {{ ::predictionmodelreport.png?nolink |}}
+===== Test report =====
+When you select //Use existing predictor// you will have a different report for your test prediction study.
+The test report is divided into four different panels:
+{{ ::testpresdictionreport.png?nolink |}}
+==== Study Information ====
+As explained before, here you can find the information about the current study.
+==== Input Parameters ====
+The parameters with which the test study was launched, such as the name of the used expression file and the Species.
+==== Circuit values ====
+This matrix file indicates for each “effector circuit” the level of activation calculated using Hipathia method for each sample.
+==== Prediction model ====
+This is the most important result, this table is the predicted design file for your selected expression matrix using a previously trained model.
 ===== Workflow =====
 The prediction tool is based on a machine learning module, this module of the Hipathia web tool can be summarized as follows: