Sentence examples for model has poor from inspiring English sources

Overfitting indicates that precise predication can be drawn from the training set but the performance is low when using testing dataset (i.e., the trained model has poor generalization ability to predict new cases).

For instance, the model has poor accuracy when it is applied in the regions which have multiple oil production peaks.

The Freundlich model has poor fitting into the experimental data as it is more suitable to be used on low concentration of dye (Foo and Hameed 2010; Rushton et al. 2005).

The model has strong predictive power if the CPE value is close to 1; CPE value close to 0.5 indicates that the model has poor predictive power (comparable to random prediction).

Duan et al [ 11, 15] pointed out that this model has poor numerical and statistical properties.

For each patient, the score ranges from 0 to 1, and a score of 0.25 indicates that the model has poor performance.

However, one has to note that the unidimensional model has poorer fit to the data (RMSEA: 0.135, CFI: 0.804, TLI: 0.726).

Patients classified as Double-Hit by the recursive partitioning model had poor outcome, whether classified as high risk by IMWG criteria (n = 24; 18-month estimates PFS: 35%, OS: 37%) or low/standard risk (n = 24; PFS: 44%, OS: 73%).

This paper addresses the problem that students under traditional teaching model have poor operation ability and studies in depth the network teaching platform in domestic colleges and universities, proposing the design concept of network teaching platform of NET + C # + SQL excellent course and designing the overall structure, function module and back-end database of the platform.

The CUETO model had poor calibration for disease recurrence, with underestimation of the risk for low-risk patients (score 0 6) and overestimation for high-risk patients (score>10).

A significant drop in OFV when EST was used instead of MOD indicated that the individual likelihood predictions (based on the individuals' weight) used in the mixture model had poor predictability.