The evaluation metrics tell you that the error is low-ish, and that correlation between the predicted output and the test output is high. That was easy! In real examples, it takes more tuning to achieve good model metrics. ML.NET architecture ...
The evaluation metrics tell you that the error is low-ish, and that correlation between the predicted output and the test output is high. That was easy! In real examples, it takes more tuning to achieve good model metrics. ML.NET architecture ...
Results Linear regression analysis showed a good correlation between automated and manual FRC% count (r=0.824, P< 0.0001), but BlandAltman's plot revealed an overestimation of FRC of 0.82%. There is a global correlation between %MicroR and FRCs. In subgroup analysis of %MicroR (reference ...
In a logistic regression analysis, the P:E2 ratio showed no statistically significant correlation with pregnancy outcome. Conclusion(s) The increased serum P:E2 ratio on the day of hCG administration, as an indicator of PL, has a poor predictive value on IVF outcomes in infertile women with ...
Results obtained with Pearson correlation coefficient analyses were qualitatively consistent. CONCLUSIONS. Some associations between EIG and outcomes remained biased compared with associations between EIDLW and outcomes. Use of the Goldberg cutoffs was not a reliable method for eliminating bias. 展开 ...
Second, I did not focus on the statistical significance of the t tests; instead, I converted the t-statistic to correlation coefficient value, and actually to an R-squared value. The following formula (Fritz et al., 2012) was used for the conversion: r2 = t2/(t2 + υ), ...
A tighter correlation means better agreement between the data points and the fit line; therefore, there are smaller residuals and a tighter distribution of those residuals around the value zero. A tighter distribution means that there is a smaller standard deviation of the distribution of the ...
Outcomes Linear regression was used to analyze the association between variables and the numeric FSFI score, and categorical FSFI scores were analyzed using logistic regression. Spearman rank correlation coefficient was used to assess the correlation between ICIQ-OAB results and the different FSFI domains...
The correlation coefficients between the zonal means and regional means are 0.53, 0.50, 0.73, and 0.83, respectively, with all p values less than 0.01 from the significance tests of the linear regression relationship. Full size image Zhang et al.1 also claimed that the spatial distribution of ...
s correlation and the one tailedpvalue of the correlation obtained from permutation are shown on the graph. The best fitting line is displayed in blue. Slopes closer to 1 (dotted line) show good prediction36. (b) The distribution of the permutation models’R2(in grey), which is the null...