Leading up to the Emmys next month, we gathered The Envelope's Buzzmeter panelists — USA Today's Robert Bianco, TV Guide's Matt Roush, the A.V. Club's Todd VanDerWerff, the Los Angeles Times' Mary McNamara and Glenn Whipp, and, when the focus is on predictions, Gold Derby's Tom O'Neil — to hash over this year's nominations.
You have to admire a historian who proposes to extract reverse-prediction gold from that material.
However, she is only in the Ethiopian team for the 10000m Main rival Tirunesh Dibaba Medal prediction Gold and silver Asbel Kiprop Men's 1500m The world and Olympic champion is an erratic performer, often getting boxed in at crucial moments, although he usually gets it right on the big occasion.
He has only been beaten once in three years, by the young Ethiopian Mohammed Aman at the very tailend of last season Main rival Mohammed Aman Medal prediction Gold Mary Keitany Women's marathon Keitany has been almost unbeatable over the last few years, winning the London marathon twice and breaking the world record for the half marathon.
Her closest challenger is likely to be her training partner Edna Kiplagat, who is the world champion and finished second behind Keitany in London this year Main rival Edna Kiplagat Medal prediction Gold Wilson Kipsang Men's marathon The second fastest marathon runner in history and an impressive winner in London in April, Kipsang is heading a Kenyan team looking for a clean sweep of the medals.
No one else is likely to get a look in Main rival Emmanuel Mutai Medal prediction Gold Vivian Cheruiyot Women's 5,000m and 10,000m The triple world champion from last year 5,000mm, 10,000m and cross country) can handle a fast pace, or is devastating in a sprint finish.
A prediction was either true positive (tp, prediction: essential, gold standard: essential), false positive (fp, prediction: essential, gold standard: non-essential), true negative (tn, prediction: non-essential, gold standard: non-essential) or false negative (fn, prediction: non-essential, gold standard: essential).
Met Maze, with spelling and punctuation errors befitting the team's play, was filled with grand predictions from Gold and his readers.
Accuracy rate of Johnson's predictions for gold medals won by a country: 2008 Beijing Summer Games: 92% 2006 Torino Winter Games: 89% 2004 Athens Summer Games: 86% 2002 Salt Lake City Winter Games: 85% 2000 Sydney Summer Games: 84%.
Considering exact matching between the predictions and gold standard annotations, our system achieves an F-measure of 86.92%, with a precision of 87.35% and a recall of 86.49% in the test set of the chemical entity mention task.
I disagree and so do the largest chunk of Oscarologists making predictions at Gold Derby where Les Miserables leads with 9-to-2 odds.
