Sentence examples for models perform poor from inspiring English sources

These models perform poor with MCC 0.27, when evaluated on Pyrimidine class of molecules.

It is a well-known fact that machine learning techniques, particularly SVM-based models perform poor especially when positive and negative dataset is unbalanced.

Similarly, Rfam-based covariance models performed poor to classify the novel/non-similar sequences whereas comparatively structural information based graph-properties of RNAcon method performed well because graph-properties based features provide both local as well as global structural features of a particular class.

However, the frequency-based model performed poor in this dataset as well [Additional file 7: Table S6].

Figure  2 shows an example of a short cyclic peptide (10 residues) where PEPstrMOD approached close to the native structure while the ab initio model performed poor.

For a couple of countries (Italy and the Netherlands), however, the autoregressive model performed poorer than the base non-linear model.

Thus, they generally perform poor performance on the imbalanced datasets.

In almost all cases, these tests indicated that the Type B model performed best followed by the Type C model, with the Type A model invariably performing poorest (Table 8).