The phrase "analysis of the prediction" is correct and usable in written English.
It can be used when discussing the examination or evaluation of a forecast or anticipated outcome in various contexts, such as research, data analysis, or project planning.
Example: "The analysis of the prediction revealed several key factors that could influence the project's success."
Alternatives: "evaluation of the forecast" or "examination of the projection."
The whole pipeline consists of three steps: i) conversion of the CT scans into Maximum Intensity Projection (MIP) images, ii) prediction from a Convolutional Neural Network (CNN) applied in a sliding window fashion over the MIP image, and iii) robust analysis of the prediction sequence to predict the height of the desired slice within the whole CT scan.
The relative frequency analysis of the prediction errors showed that more than 50% of data can be predicted by the prediction error of less than 15%, which is acceptable for biological measurements, where the mean ILRSD for bitter activities of 19 dipeptides were measured by different research groups and were 12.1 (±10.7)%.
Statistical analysis of the prediction results showed that both models possess good prediction ability with a slight superiority for ANN over PCA-M5P.
Based on the statistic analysis of the prediction error, it is shown that the modified SWT model provides satisfactory fatigue life predictions under proportional and non-proportional loading paths.
The methodology aims at detecting possible sources of suboptimal performance of linear offset-free MPC algorithms by analysis of the prediction error sequence, discriminating between the presence of plant/model mismatch and incorrect disturbance/state estimation, and proposing for each scenario an appropriate corrective action.
The analysis of the prediction 'misses' and 'hits' for the SVM models developed in the study reflects distinct AACs within the entire protein and low-complexity regions.
Error analysis of the predictions using ElemNet of a test set containing 25,662 compounds from our ten-fold cross validation.
Analysis of the predictions in The World in 2006 suggests ten simple rules for approaching the current edition.1.1
Analysis of the predictions shows that the Newtonian equation describes extremely well the Newtonian data and furthermore it could be used with good engineering accuracy to predict the terminal velocity of solid spheres falling through stagnant non-Newtonian liquids.
Statistical analysis of the predictions using correlation coefficient (R2), root mean square error (RMSE), mean absolute percentage error (MAPE), and variance accounted for (VAF) show that all the soft computing methods performed better than the multiple regression models.
The analysis of the predictions showed the remaining oil saturation that mainly depended on the sweep efficiency of SP slug.
