Sentence examples for improving predictive power from inspiring English sources
Hence, developed QSAR modeling workflow, build a model with whole set of descriptors to confirm that elimination of irrelevant or non informative variables is improving predictive power of given model.
While behavioral finance advocates may justly criticize rationalizations as unlikely to lead to a science of financial economics with improving predictive power, rational finance's explanatory power plays a key role supporting the limits of arbitrage arguments that make behavioral finance possible.
MFS is an iterative backward stepwise elimination method with the purpose of minimizing the gene set (i.e., removing uninformative genes while retaining these essential to the endpoint studied) and thus generating a signature of smaller size and improving predictive power based on the resultant feature set.
Albertsen, et al, for example, found each of the three comorbidity indices had similar power to predict survival (p < 0.001 for each), with the addition of any of the three indices to Gleason score improving predictive power for survival over Gleason score alone [ 16].
Prospective testing in a clinical data set and the addition of other variables known to predict frailty may improve predictive power.
Counterintuitively, combining the predictions of multiple teams (including the weaker teams) can in some cases improve predictive power beyond that of any single method.
Our research aims to assess and improve predictive power for outbreaks of new diseases, as well as forecasting of seasonal diseases.
We argue that improved predictive power will require moving to three-dimensional simulations and additional benchmarking with experimental data.
Based on our analysis, the 2D probability density maps of correlated chemical shifts provide improved predictive power when compared to joint probabilities derived from 1D histograms of proton and carbon chemical shifts (Fig. 1c, d).
Adding functional status to single-measure models generally improved predictive power (ie, R(2) value) for overall health expenditures by 2%to4%4%, but not for drug expenditures.
We hope that this work will inspire more measurements, improve predictive power of cancer recurrence, and assist the control of cancer progression.
