Companies are moving from developing a single model for a problem (e.g., a regression model to predict general sales) to developing several models for sub-problems of the original problem (e.g., regression models to predict sales of each of its product cate- gories). Given the similarity...
Sample 1 (6,508 fetuses) was used to compute a new linear regression model estimating fetal weight (FW) from ultrasound measurements. Sample 2, with 705 fetuses, was used to compare the accuracy of the new equation with Hadlock’s equation. Sample 3 (1,461 fetuses) was used to ...
因此这种情况下,考虑采用auc来评价模型,然后后续用isotonic regression来校准,会是一种model selection的更普遍的办法。之所以用isotonic而不用logistic regression,是因为logistic会改变model的排序,需要再用auc评价一次,但isotonic则不会影响。 另一个选项是先做完isotonic regression,再去用auc选模型,因为实际线上最后也是...
Koutsias, N., 2003, "An Autologistic Regression Model for Increasing the Accuracy of Burned Surface Mapping Using Landsat Thematic Mapper Data," International Journal of Remote Sensing, 24(10):2199-2204.Koutsias, N. (2003). An autologistic regression model for increasing the accuracy of ...
We more rigorously evaluated our multi-scale model by assessing accuracy within geographic subsections of the nesting range and found it was still high to very high (86-100%), as most studies rarely exceed 85% accuracy. The results confirm that logistic regression can be very useful for ...
This file contains a description of pre-tests used to select the headlines, regression tables, the model of social media sharing, notes regarding the ethics of digital field experimentation, additional analysis for Study 7, models of the spread of misinformation and Supplementary References. Reporting...
In addition, we show how standard Cox regression output can be used to obtain estimates of time-dependent sensitivity and specificity, and time-dependent receiver operating characteristic (ROC) curves. Semiparametric estimation methods appropriate for both proportional and nonproportional hazards data are ...
The postprocessing method is applied for the resulting predictions after obtaining the predictions using the conventional regression model. Both methods assume that we defined with anticipation a threshold, to divide the training data as top lines and not top lines, and this threshold can be decided...
These set of regressions show almost similar results as results of the portfolio regressions. Finally, all firms were pooled and a single regression was estimated both for CAPM and Fama and French. The results are almost unchanged. 展开 被引量: 3 年份: 2011 ...
In line with expectation, the results in Fig.2B show that models trained on small datasets are generally poor irrespective of the encoding or regression method. Linear models (ridge) display exceptionally poor accuracy and are insensitive to the size of training set. In contrast, a shallow neural...