![]() Group 1 represents the novel decision rate algorithm and group 2 represents the logistic regression algorithm.The G power calculation was done with 80 % of power and alpha of 0.05. Methods and Materials: A total of 304 samples are collected from three lung cancer datasets available in kaggle. We then obtain the size N such that the test has a power as close as possible to the desired power.Novel Decision Tree Algorithm, Logistic Regression Algorithm, Lung Cancer, Image Processing, False detection, Machine Learning AbstractĪim: The objective of this research work is to maximise the early detection rate of lung cancer using the novel decision tree algorithm in comparison with the logistic regression algorithm. This algorithm is adapted to the case where the derivatives of the function are not known. It is called the Van Wijngaarden-Dekker-Brent algorithm (Brent, 1973). To calculate the number of observations required, XLSTAT uses an algorithm that searches for the root of a function. Calculating sample size for logistic regression taking statistical power into account These approximations depend on the normal distribution. The percentage of observations with X1 1.Odds ratio: The ratio between the probability that Y=1, when X1 =1 and the probability that Y=1 when X1 =0.P1 (alternative probability): The probability that Y=1 when X1 =1.P0 (baseline probability): The probability that Y=1 when X1=0. ![]() If X1 is binary and follow a binomial distribution.
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