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%html
%head
%body
%b Model:
%br
Source:
%a{:href=>model.source, :target=>"external"}
= model.source
%br
- model.classification? ? type = "Classification" : type = "Regression"
= "Type:\t"
= type
%br
- training_dataset = OpenTox::Dataset.find model.training_dataset.id
= "Training compounds:\t"
= training_dataset.compounds.size
%p
- if type == "Classification"
%b Independent crossvalidations:
- else
%b Independent crossvalidations (-log10 transformed):
%div.row{:id=>"validations#{model.id}", :style=>"background-color:#f5f5f5;"}
- model.crossvalidations.each do |crossvalidation|
%span
- cv = OpenTox::CrossValidation.find crossvalidation.id
= "Num folds:\t"
= crossvalidation.folds
%br
= "Num instances:\t"
= crossvalidation.nr_instances
%br
= "Num unpredicted"
= crossvalidation.nr_unpredicted
- if model.classification?
%br
= "Accuracy:\t"
= crossvalidation.accuracy.round(3) if crossvalidation.accuracy
%br
- if crossvalidation.true_rate
= "True positive rate:\t"
= crossvalidation.true_rate["active"].round(3) if crossvalidation.true_rate["active"]
%br
= "True negative rate:\t"
= crossvalidation.true_rate["inactive"].round(3) if crossvalidation.true_rate["inactive"]
%br
- if crossvalidation.predictivity
= "Positive predictive value:\t"
= crossvalidation.predictivity["active"].round(3) if crossvalidation.predictivity["active"]
%br
= "Negative predictive value:\t"
= crossvalidation.predictivity["inactive"].round(3) if crossvalidation.predictivity["inactive"]
%p
%b Confusion Matrix:
%table{: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
=crossvalidation.confusion_matrix[0][0]
%td
=crossvalidation.confusion_matrix[0][1]
-#%td
=crossvalidation.confusion_matrix[0][0]+crossvalidation.confusion_matrix[0][1]
%tr
%td
%td inactive
%td
=crossvalidation.confusion_matrix[1][0]
%td
=crossvalidation.confusion_matrix[1][1]
-#%td
=crossvalidation.confusion_matrix[1][0]+crossvalidation.confusion_matrix[1][1]
-#%tr
%td
%td total
%td
=crossvalidation.confusion_matrix[0][0]+crossvalidation.confusion_matrix[1][0]
%td
=crossvalidation.confusion_matrix[0][1]+crossvalidation.confusion_matrix[1][1]
%td
-#= "Confusion Matrix:\t"
-#= crossvalidation.confusion_matrix
%br
/= "Confidence plot:"
/%p.plot
/ %img{:src=>"confp#{crossvalidation.id}.svg"}
- if model.regression?
%br
= "Root mean squared error:\t"
= crossvalidation.rmse.round(3) if crossvalidation.rmse
%br
= "Mean absolute error:\t"
= crossvalidation.mae.round(3) if crossvalidation.mae
%br
= "R square:\t"
= crossvalidation.r_squared.round(3) if crossvalidation.r_squared
%br
/= "Confidence plot:"
/%p.plot
/ %img{:src=>"/confp#{crossvalidation.id}.svg"}
/%br
/= "Correlation plot"
/%p.plot
/ %img{:src=>"/corrp#{crossvalidation.id}.svg"}
%br
|
