Sentence examples for models perform significantly from inspiring English sources

Exact(6)

All models perform significantly better at the mid-latitudes than at the Equator.

The results establish that wavelet-based multi-resolution SoV models perform significantly better compared to the traditional Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN) based frameworks.

Computational results based on randomly generated data show that in the context of problems with modular costs, the proposed discretized models perform significantly better than the 'traditional' models.

The two-parameter activity coefficient models perform significantly better than the Nernst equation and one-parameter Margules at all temperatures, thus suggesting that the insertion of the protons into the lattice occurs in an ordered, non-random fashion.

The results show that the identified models perform significantly well in the presence of noise and model uncertainties with the maximum error of 12%, thanks to the precise spectral analysis.

However, when parameters of M1 are fitted using the D2 data set and parameters of M2 are fitted using the D1 data set, the estimated models perform significantly worse.

Similar(54)

Where MAE statistics are available [40, 70, 71] weighted means were calculated, with the SCI general (22.7%) and activity specific (18.2%) models performing significantly better than the manufacturer's model (54.4%).

The 95% confidence interval upper limit AUC value of this distribution was then compared with the AUC of the actual model to assess whether the P. clarkii models performed significantly better than expected by chance alone (using a significant level of 0.05).

All models performed significantly better than random prediction (P<0.01 for all comparisons).

Compared to the radiologist, each AUC of the 5-fold cross-validation SVM models performed significantly better (P < 0.05) than the radiologist.

OPLS-DA showed that all models performed significantly better (Q =0.42±0.1; RMSEP=0.37±0.1) than what is expected based on random chance (permuted: Q =-0.51±0.7; RMSEP=0.68±0.1).

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