LOGISTIC regression analysisThis paper comprehensively analyzes data mining techniques and performance metrics applied to a logistic regression model. Principal Component Analysis (PCA) was utilized to diminish the complexity of high-dimensional data, enabling clearer visualization and examination of...
product-market combination. Drawing on a database of 177 spin-offs from publicly funded non-university research institutes, an analysis via logistic regression showed that each performance measurement shows different results, but the negative effect of push motivation and the positive influencing factors ...
Logistic Regressionwith the default Sklearn hyper-parameters. By that time, the core hyper-parameter tuples were: C=1.0, max_iter=100, solver='lbfgs', and penalty='l2'. Corresponding Author For any questions with regard to the implementation or the paper, feel free to contactAngelos Chatzim...
7489 Accesses 7 Altmetric Explore all metrics Abstract With the increase in the usage of the Internet, a large amount of information is exchanged between different communicating devices. The data should be communicated securely between the communicating devices and therefore, network security is one of...
A Literature Review of Performance Metrics of Automated Driving Systems for On-Road Vehicles The article presents a review of recent literature on the performance metrics of Automated Driving Systems (ADS). More specifically, performance indicators of environment perception and motion planning modules are...
random forest are higher than the results of support vector machine, naive Bayes and logistic regression. The proposed method can effectively predict the take-over performance and provide a theoretical basis for the interaction design between the driver and the autonomous vehicle....
This analysis is performed for 4753 \(\left(98{\text{C}}2\right)\) possible pairs of 98 drugs in the AZ-DREAM Challenges dataset. Pharmacological responses are quantified with the Kendall τ correlation coefficient, whereas the drug similarity is measured with two metrics. The first score is...
4162 Accesses 17 Citations 1 Altmetric Metrics details Abstract Background Accessible and cost-effective diagnostic tools are urgently needed to accurately quantify blood biomarkers to support early diagnosis of Alzheimer’s disease (AD). In this study, we investigated the ability of plasma amyloid-...
389 Accesses 1 Altmetric Explore all metrics Abstract In a recurrent event setting, we introduce a new score designed to evaluate the prediction ability, for a given model, of the expected cumulative number of recurrent events. This score can be seen as an extension of the Brier Score for sin...
Results of logistic regression analysis for the positivity rate, sensitivity, and specificity of FIT for ACRN are presented in Table2. Based on the above results, high temperature was defined as ≥24 °C and high humidity as ≥80%. In the univariable model for positivity rate of FIT, both...