Sentence examples for a poor classification from inspiring English sources

A poor classification performance with an overall accuracy rate of 69% is obtained using GMM.

F score results are in the range [0,1] where values near 0 indicate a poor classification and values close to 1 show a good performance.

As for classical systems, the data acquired using the new system was highly correlated, resulting in a poor classification performance using classical methods.

Note that in KM-RBF and KMRBF-BP, when the number of training samples is changed, the number of RBF hidden neurons has to be adjusted manually; otherwise, it will lead to a poor classification accuracy.

While CSP classification (on the x-axis) shows a good separability of the data into positive and negative values (for right hand and left hand movement, respectively), the Zero-Training classifier assigns negative values to almost every point, resulting in a poor classification rate (near 50%, corresponding to chance level accuracy).

But this would be a poor classification rule because the FPR would also be 1.

In particular, SUVdecon corresponding to the seemingly most effective PVE correction had a poorer classification performance than the SUV indices not corrected for PVE, as shown by the location of the ROC curve.

Data-depth classification analysis revealed a poor categorization among urban, traffic and industrial sites: weather and urban planning factors may cause a general homogeneity of air pollution within cities driving this poor classification.

For instance, if the reference data are biologically largely meaningless (as in the case of a very poor classification) or if the gene used is unresolved at the taxonomic level of interest, the agreement between reference and clustering partitions might be hardly be modifiable by changing the clustering parameters.

However, the method gives a bit of poor classification accuracy with SVM classifier.

Thus it leads to a misfit model and also has poor classification performance when the data distribution is highly skewed.