Application of Naive Bayes Algorithm for Physical Fitness Level Classificationdoi:10.33438/ijdshs.1330745BURHAEN, ErickFADJER, AkhmadWDYONO, Ibnu PrasetyoInternational Journal of Disabilities Sports & Health Sciences
Naive Bayes model: 1. Naive Bayes model 2. model: discrete attributes with finit number of values 2. Parameter density estimation 3. Naive Bayes classification algorithm 4. AutoClass clustering alogrithm 1. Naive Bayes model1. Naive Bayes model In this model, We want to estimateP(X1,...,...
self.X_var=[]defSepByClass(self, X, y):###按类别分隔数据###输入未分类的特征和目标,输出分类完成的数据(字典形式)###self.num_of_samples=len(y)#总样本数y=y.reshape(X.shape[0],1) data=np.hstack((X,y))#把特征和目标合并成完整数据data_byclass={}#初始化分类数据,为一个空字典#提取...
A number of common learning algorithms have been adapted for this task, including k-Nearest Neighbours (k-NN) and decision trees. Following this line, we propose an adaptation of the naive Bayes classification algorithm for the label ranking problem. Our main idea lies in t...
Classifications have been seen to enable the creation of novel ways of mapping science (Suominen & Toivanen, 2015) and businesses capabilities (Suominen et al., 2016). Text classification is not merely an application of an algorithm across a text corpus but rather a process. Classifying text ...
分类是一项依赖于机器学习算法(Machine Learning Algorithm)的自然语言处理任务。 你可以执行不同的分类任务,其中最有代表的可以说是情绪分析了。每项任务通常需要不同的算法,因为每个任务都用于解决不同的问题。 计算机科学家 David Wolpert 在他的论文《The Lack of A Priori Distinctions Between Learning Algorithms》...
Predicting drug-target interactions (DTI) is a complex task. With the introduction of artificial intelligence (AI) methods such as machine learning and deep learning, AI-based DTI prediction can significantly enhance speed, reduce costs, and screen poten
Table 2 AI algorithm analysis for seismic event recognition Full size table 4.2Seismic event discrimination Accurate discrimination of unnatural seismic events from natural earthquakes is fundamental for geoscientific research and effective disaster mitigation (Dong et al.2015; Gulia2009; Malovichko2012; Tan...
Research on the prediction of blasting fragmentation in open-pit coal mines based on KPCA-BAS-BP Article Open access 14 October 2024 Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures Article Open access...
Experiments show that the average accuracy rate of the gesture recognition algorithm designed in this paper reaches 97.3%, which is 4.1% higher than that of the traditional algorithm; and when the anti-collision algorithm in this paper is set to the optimal parameters, the accuracy rate is as ...