Sentence examples for losing prediction from inspiring English sources
In [2, 3], efficient two-dimensional ray-tracing algorithms for an indoor environment have been presented, resulting in a significant reduction in the computational time, without losing prediction accuracy.
However, even at the risk of losing prediction accuracy due to insufficient runtime information, researchers can only afford to apply offline model training to avoid significant runtime training overhead.
Recently, a new method was developed to automatically explain the prediction results of any machine learning model without losing prediction accuracy [ 160].
Our program outputs a series of cluster sets that have increasing discrimination power for training samples without losing prediction power on the test samples, as indicated in our experimental results.
ExonScan does not seem to lose prediction quality when confronted with sequences from other closely related organisms.
To test this "secondary lost" prediction and to illuminate the distribution and evolution of RNA-editing sites in the clade of liverworts and plants in general, we sequenced the chloroplast genome of the liverwort P. endiviifolia (Dicks).
Due to this constraint, using a single decision tree usually loses some prediction accuracy [ 39].
Given the number of breeding groups tested, we could not determine what should be the most effective population size for a successful operational use of markers, but it is apparent that it could be at least 50, and maybe up to 100 [ 4], without losing too much prediction accuracy.
That is a lot of inbound tourism and business travel for an economy to lose.These predictions are not set in stone.
Alignments of these showed that six duplets lost target predictions due to gene models being highly truncated compared to the other copy with the target site entirely missing.
The efficient-prediction perspective says prediction market prices should be close to the probabilities or expectations of the featured events because market participants receive clear and direct monetary rewards for accurate predictions (winning their bets) and monetary penalties for inaccurate predictions (losing their bets).
