一般的认识中,股民倾向于认为同一母公司的多家上市公司股票价格之间带有较强联动性。但是股票数据存在大量噪声,使得一般线性分类方法难以取得较好预的英语翻译

一般的认识中,股民倾向于认为同一母公司的多家上市公司股票价格之间带有较

一般的认识中,股民倾向于认为同一母公司的多家上市公司股票价格之间带有较强联动性。但是股票数据存在大量噪声,使得一般线性分类方法难以取得较好预测效果。因此预测股价的思路衍生出两种:一种是特征扩充思路,尽可能多考虑到股价联动性因素,另一种则为特征精简思路,只保留重要特征进行分析
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结果 (英语) 1: [复制]
复制成功!
Generally speaking, stockholders tend to believe that there is a strong linkage between the stock prices of multiple listed companies of the same parent company. However, there is a lot of noise in stock data, which makes it difficult for general linear classification methods to achieve better prediction results. Therefore, there are two ideas for predicting stock prices: one is the feature expansion idea, which takes into account as much as possible stock price linkage factors, and the other is the feature simplification idea, which only retains important features for analysis
正在翻译中..
结果 (英语) 2:[复制]
复制成功!
In general understanding, shareholders tend to think that there is a strong linkage between the stock prices of several listed companies of the same parent company. However, there is a lot of noise in stock data, which makes it difficult for the general linear classification method to achieve better prediction results. Therefore, the idea of predicting stock price derives two kinds: one is the idea of feature expansion, taking into account as much as possible the factors of stock price linkage, and the other is the idea of feature streamlining, which only retains important features for analysis
正在翻译中..
结果 (英语) 3:[复制]
复制成功!
Generally speaking, shareholders tend to think that the stock prices of several listed companies of the same parent company have strong linkage. However, there are a lot of noise in stock data, which makes it difficult for general linear classification methods to achieve good prediction results. Therefore, there are two ways to predict the stock price: one is to expand the features, which takes into account the linkage factors of the stock price as much as possible, and the other is to simplify the features and only keep the important features for analysis<br>
正在翻译中..
 
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