From 3e91ce8f09ff0830a87c4e337b678810d5de0f6c Mon Sep 17 00:00:00 2001
From: gebele <gebele@in-silico.ch>
Date: Fri, 23 Oct 2015 09:31:12 +0000
Subject: moved model details to new file and call it onclick;makup validated
 but svg images not;consistent layout

---
 views/model_details.haml | 121 +++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 121 insertions(+)
 create mode 100644 views/model_details.haml

(limited to 'views/model_details.haml')

diff --git a/views/model_details.haml b/views/model_details.haml
new file mode 100644
index 0000000..f539a70
--- /dev/null
+++ b/views/model_details.haml
@@ -0,0 +1,121 @@
+%b Model:
+%br
+Source:
+%a{:href=>model.source, :target=>"external"}
+  = model.source
+%br
+= "Algorithm:\tLAZAR"
+%br
+- model.classification? ? type = "Classification" : type = "Regression"
+= "Type:\t"
+= type
+%br
+- training_dataset = OpenTox::Dataset.find model.training_dataset.id
+= "Training dataset:\t"
+= training_dataset.source.split("/").last
+%br
+= "Training compounds:\t"
+= training_dataset.compounds.size
+
+%p
+%b Validation (repeated):
+%div.row{:id=>"validations#{model.id}", :style=>"background-color:#f5f5f5;"}
+  - model.crossvalidations.each do |crossvalidation|
+    %span.col-xs-4.col-sm-4.col-md-4.col-lg-4
+      - cv = OpenTox::CrossValidation.find crossvalidation.id
+      = "Num folds:\t"
+      = cv.folds
+      %br
+      = "Num instances:\t"
+      = cv.nr_instances
+      %br
+      = "Num unpredicted"
+      = cv.nr_unpredicted
+      - if model.classification? 
+        %br
+        = "Accuracy:\t"
+        = cv.accuracy.round(3) if cv.accuracy
+        %br
+        = "Weighted Accuracy:\t"
+        = cv.weighted_accuracy.round(3) if cv.weighted_accuracy
+        %br
+        = "True positive rate:\t"
+        = cv.true_rate["active"].round(3) if cv.true_rate["active"]
+        %br
+        = "True negative rate:\t"
+        = cv.true_rate["inactive"].round(3) if cv.true_rate["inactive"]
+        %br 
+        = "Positive predictive value:\t"
+        = cv.predictivity["active"].round(3) if cv.predictivity["active"]
+        %br
+        = "Negative predictive value:\t"
+        = cv.predictivity["inactive"].round(3) if cv.predictivity["inactive"]
+        %p
+        %b Confusion Matrix:
+        %table.table.table-condensed.table-borderless{:style=>"width:20%;"}
+          %tbody
+            %tr
+              %td
+              %td
+              %td 
+                %b actual
+              %td
+              %td
+            %tr
+              %td
+              %td
+              %td active
+              %td inactive
+              -#%td total
+            %tr
+              %td 
+                %b predicted
+              %td active
+              %td 
+                =cv.confusion_matrix[0][0]
+              %td 
+                =cv.confusion_matrix[0][1]
+              -#%td 
+                =cv.confusion_matrix[0][0]+cv.confusion_matrix[0][1]
+            %tr
+              %td
+              %td inactive
+              %td 
+                =cv.confusion_matrix[1][0]
+              %td 
+                =cv.confusion_matrix[1][1]
+              -#%td 
+                =cv.confusion_matrix[1][0]+cv.confusion_matrix[1][1]
+            -#%tr
+              %td
+              %td total
+              %td
+                =cv.confusion_matrix[0][0]+cv.confusion_matrix[1][0]
+              %td
+                =cv.confusion_matrix[0][1]+cv.confusion_matrix[1][1]
+              %td
+                -#= "Confusion Matrix:\t"
+                -#= cv.confusion_matrix
+      - if model.regression?
+        %br
+        = "Root mean squared error:\t"
+        = cv.rmse.round(3) if cv.rmse
+        %br
+        = "Weighted root mean squared error:\t"
+        = cv.weighted_rmse.round(3) if cv.weighted_rmse
+        %br
+        = "Mean absolute error:\t"
+        = cv.mae.round(3) if cv.mae
+        %br
+        = "Weighted mean absolute error:\t"
+        = cv.weighted_mae.round(3) if cv.weighted_mae
+        %br 
+        = "R square:\t"
+        = cv.r_squared.round(3) if cv.r_squared
+        /%br
+        /= "Correlation plot"
+        /= cv.correlation_plot
+        /%br
+        /= "Confidence plot:"
+        /= cv.confidence_plot
+%br
-- 
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