/ displays all prediction result in first table
%div.table-responsive
  %table.table.table-bordered{:id=>"batch", :style=>"background-color:white;"}
    %thead
      %tr
        %h3 Batch Prediction Results:

    %tbody
    / key = compound, values = array of arrays with model, prediction
    - @batch.each do |key, values|
      - compound = key
      %tr
        %td{:style=>"vertical-align:top;"}
          %p= compound.svg
          %p= compound.smiles
        / array = single prediction [endpoint, result]
        - values.each_with_index do |array,i|
          %td{:style=>"vertical-align:top;"}
            - model = array[0]
            - prediction = array[1]
            %b{:class => "title"}
              = "#{model.endpoint.gsub('_', ' ')} (#{model.species})"
            %p
            - if prediction[:confidence] == "measured"
              %p
              / TODO fix scientific notation from database
              %b Measured activity:
              = prediction[:value].numeric? ? "#{prediction[:value].round(3)} (#{model.unit})" : prediction[:value]
              %p Compound is part of the training dataset
            - elsif prediction[:neighbors].size > 0
              %p
              / model type (classification|regression)
              %b Type:
              = model.model.class.to_s.match("Classification") ? "Classification" : "Regression"
              %br
              %b Prediction:
              / TODO scientific notation
              = prediction[:value].numeric? ? "#{'%.2e' % prediction[:value]} #{model.unit}" : prediction[:value]
              %br
              / TODO probability
              %b Confidence:
              = prediction[:confidence].round(3)
              %p
              %p