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Table 4 Relationship between the number of principal components and training efficiency

From: Short-term stock market price trend prediction using a comprehensive deep learning system

Number of features Training dataset preparation time (s) Test dataset preparation time (s) Training time (s) Sum (s)
29 selected features 187.46 16.30 648.53 852.29
20 principal components 160.29 14.24 602.68 777.21
15 principal components 125.20 12.18 591.93 729.31
10 principal components 96.54 10.37 590.76 697.67
5 principal components 59.37 8.22 572.88 640.47