diff options
Diffstat (limited to 'views/model_details.haml')
| -rw-r--r-- | views/model_details.haml | 158 |
1 files changed, 91 insertions, 67 deletions
diff --git a/views/model_details.haml b/views/model_details.haml index 1be75e7..5c3aa4f 100644 --- a/views/model_details.haml +++ b/views/model_details.haml @@ -1,26 +1,43 @@ %b Model: %br Source: -%a{:href=>model.source, :target=>"external"} +%a{:href=>model.source, :rel=>"external"} = model.source %br - model.classification? ? type = "Classification" : type = "Regression" = "Type:\t" = type %br -- training_dataset = OpenTox::Dataset.find model.training_dataset.id +- training_dataset = OpenTox::Dataset.find model.model.training_dataset_id = "Training compounds:\t" -= training_dataset.compounds.size - += training_dataset.data_entries.size +%br += "Training dataset:\t" +%a{:href=>"#{to("/predict/dataset/#{training_dataset.name}")}"} + = training_dataset.name +%br +%b Algorithms: +%br +Similarity: +%a{:href=> "http://www.rubydoc.info/gems/lazar/OpenTox%2F#{model.model.algorithms["similarity"]["method"].sub("::", "%2F")}", :rel=>"external"} + = model.model.algorithms["similarity"]["method"] += ", min: #{model.model.algorithms["similarity"]["min"]}" +%br +Prediction: +%a{:href=>"http://www.rubydoc.info/gems/lazar/OpenTox%2F#{model.model.algorithms["prediction"]["method"].sub("::","%2f")}", :rel=>"external"} + = model.model.algorithms["prediction"]["method"] +%br +Descriptors: += model.model.algorithms["descriptors"]["method"]+"," += model.model.algorithms["descriptors"]["type"] %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| + - crossvalidations.each do |cv| %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 @@ -34,76 +51,83 @@ Source: = "Accuracy:\t" = cv.accuracy.round(3) if cv.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"] + = "Weighted accuracy:\t" + = cv.weighted_accuracy.round(3) if cv.weighted_accuracy + - if cv.true_rate + %br + = "True positive rate:\t" + = cv.true_rate[cv.accept_values[0]].round(3) + %br + = "True negative rate:\t" + = cv.true_rate[cv.accept_values[1]].round(3) + - if cv.predictivity + %br + = "Positive predictive value:\t" + = cv.predictivity[cv.accept_values[0]].round(3) + %br + = "Negative predictive value:\t" + = cv.predictivity[cv.accept_values[1]].round(3) %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 + - ["confusion_matrix", "weighted_confusion_matrix"].each_with_index do |matrix,idx| + %b= (idx == 0 ? "Confusion Matrix" : "Weighted 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 + =( idx == 1 ? cv.send(matrix)[0][0].round(3) : cv.send(matrix)[0][0]) + %td + =( idx == 1 ? cv.send(matrix)[0][1].round(3) : cv.send(matrix)[0][1]) + -#%td + =cv.confusion_matrix[0][0]+cv.confusion_matrix[0][1] + %tr + %td + %td inactive + %td + =( idx == 1 ? cv.send(matrix)[1][0].round(3) : cv.send(matrix)[1][0]) + %td + =( idx == 1 ? cv.send(matrix)[1][1].round(3) : cv.send(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 + %br %br /= "Confidence plot:" /%p.plot / %img{:src=>"confp#{cv.id}.svg"} - if model.regression? %br - = "Root mean squared error:\t" + %a.ht5{:href=>"https://en.wikipedia.org/wiki/Root-mean-square_deviation", :rel=>"external"} RMSE: = cv.rmse.round(3) if cv.rmse %br - = "Mean absolute error:\t" + %a.ht5{:href=>"https://en.wikipedia.org/wiki/Mean_absolute_error", :rel=>"external"} MAE: = cv.mae.round(3) if cv.mae %br - = "R square:\t" + %a.ht5{:href=>"https://en.wikipedia.org/wiki/Coefficient_of_determination", :rel=>"external"}= "R"+"<sup>2</sup>"+":" = cv.r_squared.round(3) if cv.r_squared %br /= "Confidence plot:" @@ -113,5 +137,5 @@ Source: /= "Correlation plot" /%p.plot / %img{:src=>"/corrp#{cv.id}.svg"} - -%br + +%br |