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A perfect score is 100, with fractions of points deducted for each imperfection, no matter how slight.
But the rankings, while the best thing available, deal in fractions of points and tend to distort the picture when it comes to the Ryder Cup.
The fraction of the nearest neighbours for TSS turned out to be less than the theoretical prediction for the random sets with the same fractions of points [Equation (26)] for the H. sapiens genome and rather close to the theoretical prediction for the D. melanogaster genome (Table 2).
Then, the fractions of points are determined as (13) f A = N A N A + N B ; f B = N B N A + N B The division of points on the same strand into two sets generates a string of points that may formally be presented as a sequence composed of A and B. The neighbouring points of two types can be encountered only within the following sequences: ABA, BAB, AABB, BBAA, and their combinations.
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However, such a semi-regular 3D grid suffers from poor visibility; as the viewer moves around the point cloud the fraction of points visible to the viewer varies dramatically and is very small for some of the viewing directions.
The regression clustering (CART) with splits satisfying a maximum gain measure as modelled by ginni coefficient describes a probabilistic measure modelling the fraction of points of the predecessor nodes that are present in the one or the other successor node.
Fig. 5 Excluded fraction of points and relative error of estimated radius R as functions of filter factor (sigma multiples) for the case 2 from [3]. (Other parameters such as estimated angle of rotation are not shown because the transition between the correct and incorrect value is similar as for the radius R).
This allows us to visualize when the state of the network approaches a given attractor (Fig. 5B) and to quantify the fraction of points in time when this happens.
Reclassification of ground and canopy returns in the thinned datasets resulted in a larger fraction of points being classified as ground returns after thinning.
This function is estimated using the distances from each centroid to its nearest neighbor, and plotting the fraction of points in the sample that have their nearest neighbor at a given distance or less.
This function is estimated using the distances from each centroid to its nearest neighbor, and plotting the fraction of points in the sample having their nearest neighbor at a given distance or less (Fig. 3).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com