nl_tokens: / * Calculate the bst threshold with the highest evaluateMeasureToMaximize
pl_tokens: function ( list_of_scores , testSet , FN ) { current_set = [ ] TRUE = 0 FP = 0 TP = 0 result = [ ] for ( var th = 0 ; th < list_of_scores . length ; ++ th ) { if ( list_of_scores [ th ] [ 2 ] == "+" ) { TP += 1 ; FN -= 1 } if ( list_of_scores [ th ] [ 2 ] == "-" ) { FP += 1 ; } // console.log(list_of_scores[th]) // console.log("TP "+TP+" FP "+FP+" FN "+FN) index_in_testSet = list_of_scores [ th ] [ 3 ] if ( _ . isEqual ( current_set [ index_in_testSet ] , testSet [ index_in_testSet ] [ 'output' ] ) ) { TRUE -= 1 } if ( ! current_set [ index_in_testSet ] ) { current_set [ index_in_testSet ] = [ list_of_scores [ th ] [ 0 ] ] } else { current_set [ index_in_testSet ] . push ( list_of_scores [ th ] [ 0 ] ) } if ( _ . isEqual ( current_set [ index_in_testSet ] , testSet [ index_in_testSet ] [ 'output' ] ) ) { TRUE += 1 } PRF = calculate_PRF ( TP , FP , FN ) PRF [ 'Accuracy' ] = TRUE / testSet . length PRF [ 'Threshold' ] = list_of_scores [ th ] [ 1 ] result [ list_of_scores [ th ] [ 1 ] ] = PRF } optial_measure = 0 index = Object . <mask> ( result ) [ 0 ] for ( i in result ) { if ( result [ i ] [ this . evaluateMeasureToMaximize ] >= optial_measure ) { index = i optial_measure = result [ i ] [ this . evaluateMeasureToMaximize ] } } return result [ index ] }