Sentence examples for average precise from inspiring English sources

Suggestions(1)

The phrase "average precise" is not correct in written English.
It seems to be a contradiction, as "average" implies a lack of precision, while "precise" indicates exactness.
Example: "The measurements were average precise, leading to inconsistencies in the results."
Alternatives: "moderately accurate" or "fairly exact.".

Exact(1)

And the average precise rate and average recall rate can be calculated according to the formulas: mathrm{Average} mathrm{precise} = frac{{displaystyle {sum}_{i=1}^m}mathrm{Precision} {mathrm{rate}}_i}{m} (6) mathrm{Average} mathrm{recall} = frac{{displaystyle {sum}_{i=1}^m}mathrm{Recall} {mathrm{rate}}_i}{m} (7).

Similar(59)

As can be seen in Figure 2, the UTB-REF F5 was on average more precise than the other REFs, when considering low recall rates.

Levi's reasons for taking linear averages of precise credal states (and only linear averages) to be particularly pertinent as resolutions of conflict aren't particularly clearly spelled out.

The method is accurate (101% average recovery) and precise (5.5% relative standard deviation (RSD)) based on 17 duplicate analysis of various food products over 2 years.

"My rough calculations – we don't have precise average wage information from McDonald's – are that the impact of a $1 increase to the US average wage is approximately $50,000 to $54,000 per company-owned restaurant," John Gordon of Pacific Management Consulting Group told the Guardian.

It is the average of the precise coefficients throughout equipment.

Finding its precise average length goes beyond the scope of this study.

Two flask of each type of cells were used every day to have precise average count of the cell.

The difference between the expected and the predicted proportions of B and T cell lines was less precise (average s.d. = 2.4%).

This was reported in whole years, and so cannot be used as a measure of their exact menarcheal age or to calculate a precise average age at menarche for U.S. women.

(RMSE simultaneously considers bias and variance. This value represents the 'average' (root-mean-square average, to be precise) difference between the estimated AUC and the true AUC).

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