diff options
Diffstat (limited to 'views/model_details.haml')
| -rw-r--r-- | views/model_details.haml | 30 |
1 files changed, 16 insertions, 14 deletions
diff --git a/views/model_details.haml b/views/model_details.haml index 3fa8c8b..5c3aa4f 100644 --- a/views/model_details.haml +++ b/views/model_details.haml @@ -10,7 +10,7 @@ Source: %br - 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}")}"} @@ -53,18 +53,20 @@ Descriptors: %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 - %br - = "True negative rate:\t" - = cv.true_rate["inactive"].round(3) if cv.true_rate - %br - = "Positive predictive value:\t" - = cv.predictivity["active"].round(3) if cv.predictivity - %br - = "Negative predictive value:\t" - = cv.predictivity["inactive"].round(3) if cv.predictivity + - 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 - ["confusion_matrix", "weighted_confusion_matrix"].each_with_index do |matrix,idx| %b= (idx == 0 ? "Confusion Matrix" : "Weighted Confusion Matrix") @@ -136,4 +138,4 @@ Descriptors: /%p.plot / %img{:src=>"/corrp#{cv.id}.svg"} -%br +%br |