The phrase "average category" is correct and usable in written English.
It can be used when referring to a classification or grouping that represents a typical or median standard within a certain context.
Example: "In our analysis, we found that the average category of products performed better than expected in terms of customer satisfaction."
Alternatives: "typical category" or "median category".
The typical one-term president generally falls into the "average" category, occasionally showing up as "above average".
Customers like Mr. Dyer, whose energy use put him in the "below average" category, got frowns, but the utility stopped using them after a few customers got upset.
Actually, these three dishes were the choice picks from a recent dinner for four and while none of the remaining choices was a failure, most fell into the O.K. or average category.
At Oakwood the cost per prisoner place is said to be only £13,200 a year – a third of the average category C prison cost of £31,339 a year.
Among those that made it into the "above average" category, there was a big gap between parenting terms at the Scottish and Welsh bodies, and the likes of Liverpool.
The fourth-largest city, Wroclaw, cannot rival Warsaw for business buzz or Krakow for beauty; but its secondary schools have moved it into the "significantly above average" category in the PISA rankings, well above Britain and Sweden, as well as former eastern-block rivals.Poland, like Ontario, illustrates the virtues of decentralisation.
Given a clustering C of drugs, the average Category-based Score, C (C), corresponds to the average of the 'Category-based' measure for each pair of drugs in the clusters of C. Values of C (C) ranges between 0.0 and 1.0.
Clustering similarity is computed with two different measures: average Category-based Score (C ) and Jaccard Clustering Index (J ) (52).
We can observe that all the clusterings are characterized by high values of the average Category-based Score.
Particularly, we can highlight the average Category-based Score value of the clustering of ATC and the values of AnnSim seq, AnnSim dist and AnnSim go -based clusterings.
Table 16 illustrates the results of computing the average Category-based Score measure on the clusterings produced by the Expectation Maximization (EM) clustering algorithm (53) of WEKA.
