Wang L, Park HJ, Dasari S, Wang S, Kocher J-P, Li W: CPAT: coding-potential assessment tool using an alignment-free logistic regression model. Nucleic Acids Res 2013, 41:e74.Greiner M (1995) Two-graph receiver-operating characteristic (TG-ROC): a Microsoft-EXCEL template for the ...
Analysis Services provides the Microsoft Logistic Regression algorithm for use in this type of analysis. If you are already familiar with logistic regression, you can easily create logistic regression models by using the Advanced option of the Data Mining Client for Excel. For more information, see...
The central curve in e and f represents the fit regression model, while the two surrounding curves indicate the 95% percentile intervals. g, Visualization of a CASP15 target where RhoFold+ produces an r.m.s.d. of 12.51 Å, but improves by 8.92 Å using the Top5 prediction ...
9 suggested a SDP model for Just-in-Time (JIT) defect prediction. Their approach uses a deep belief network (DBN) to extract an informative set of features from a given set of basic change metrics. Subsequently, it utilizes logistic regression to train a classifier model based on the ...
architectures and configurations. Model performance is evaluated using standard regression metrics, and statistical analysis is employed for model selection and validation to ensure robustness. The experimental results illustrate that the base GRU model, followed by the bidirectional GRU model, offers a ...
Keywords:smallfaults;prediction;regressionanalysis;mathematicalmodel;ZhaoguanmineofHuanghebeicoalfield 矿井小断层构造普遍存在,且错综复杂,再加上 矿井小断层的探查手段比较落后,使构造预测的准确 性较差,从而给煤矿生产和建设带来了很多困难。因 此,特别需要提高矿井小断层的探查和预测水平。 数学地质中的多元回归分析方...
According to the workload fluctuations, the prediction method adjusts itself through the recomputation of parameters of the regression model. The authors assume the workload trend is almost linear in the short term intervals. An auto scale model is also proposed in the VMs level. The prediction...
Decision trees function as a supervised algorithm for both classification and regression tasks. This method involves constructing a tree-like graph or model that delineates decisions and their potential outcomes, considering factors like chance events, resource costs, and utility. The main benefit of ...
Dealing with adverse drug reactions in the context of polypharmacy using regression models Article Open access 09 November 2024 Evaluation of a simplified pharmacovigilance tool for general practitioners: 5 years of insight Article Open access 20 January 2024 Prevalence of potentially inappropriate pr...
These characteristics were fed into the BiLSTM-CNN model, which predicted which customers were likely to leave the telecom service. We ran several experiments using these characteristics to improve the performance of the hybrid model. Table 3 shows the various parameters of the proposed BiLSTM-CNN...