Sentence examples for model was high from inspiring English sources

The significance of the regression model was high; with 95% confidence interval (less than 5% error).

The model of native forest conversion explained 43% of the deviance and the discrimination ability of the model was high.

The day-by-day analysis of the VOR training showed that the predictive power of the model was high for virtually all days of training for both gain and phase values (day 1, R2 = 0.96 gain and 0.46 phase; day 2, R2 = 0.99 gain and 0.74 phase; day 3, R2 = 0.96 gain and 0.93 phase; day 4, R2 = 0.78 gain and 0.93 phase).

The day-by-day analysis of the VOR training showed that the predictive power of the model was high for virtually all days of training for gain values (day 1, R2 = 0.88; day 2, R2 = 0.93; day 3, R2 = 0.97; day 4, R2 = 0.94) and that the correlation for the phase values was high on days 1, 2 and 3 of the training (day 1, R2 = 0.68; day 2, R2 = 0.52; day 3, R2 = 0.71; day 4, R2 = 0.38).

The day-by-day analysis of the VOR training showed that the predictive power of the model was high for days 1, 2 and 3 for gain values and for all days when it comes to predicting the phase (day 1, R2 = 0.60 gain and 0.81 phase; day 2, R2 = 0.78 gain and 0.89 phase; day 3, R2 = 0.66 gain and 0.95 phase; day 4, R2 = 0.15 gain and 0.60 phase).

Match of data and model was high in this pH range.

The fitness of the ANN-GA model was higher than that of the RSM model.

The predictive capability of ANN model was higher than the RSM models.

The discrimination ability of the model was higher when considering terrestrial (78%-80 78%-80ct classification) and aquatic (77%-86% correct classification) species sepandtely thaquaticther.

The positive predictive value of the main effect model was higher in women than in men.

The negative predictive value of the main effect model was higher in men than in women.