Sentence examples for irrelevant classifications from inspiring English sources

(1971) show that individuals favor members of their own group when distributing rewards and penalties in situations in which irrelevant classifications distinguished between the in-group and the out-group.

If the data set contains redundant and irrelevant attributes, classification may produce less accurate result.

Finally, kNN is also sensitive to the presence of variables that are irrelevant for classification purposes.

Thus, many noisy/irrelevant features will dominate the (much smaller set of) relevant features in determining how data points are partitioned, for example, many invariantly expressed genes used for microarray normalisation are irrelevant to classification or clustering.

The frequency of CD24 expression in HIF-1α and HIF-2α-positive GCa cases was significantly higher than that in HIF-1α and HIF-2α-negative GCa cases, respectively and irrelevant to histological classifications (Table 3, Fig. 6).

Using irrelevant features in classification or clustering tasks could deteriorate the performance.

This particular feature of Strand is gene sequence specific and was irrelevant for malware classification.

Participants were instructed to respond upon appearance of items from the classification irrelevant task category (clothing or vegetables).

This has the effect that components of a class centroid that after shrinkage are equal to the corresponding components of the overall centroid become irrelevant to the classification process.

The present study shows that the level of interaction between diseases can in some cases be irrelevant to disease classification and individual analysis should be made in order to obtain valid results for gene and metabolic pathway interactions.

Although SVMs can easily tolerate the high-dimensional gene space typical of microarray studies, most of the features are usually irrelevant for the classification task and only introduce noise.