Figure 7
A histogram depicts frequency versus accuracy.The horizontal axis is labeled “Accuracy,” and has markings ranging from 0.65 to 0.85 in increments of 0.05 units. The vertical axis is labeled “Frequency,” and has markings ranging from 0 to 25 in increments of 5 units. The data from the histogram are as follows: For accuracy range: 0.63 to 0.655, frequency: 1.078. For accuracy range: 0.678 to 0.701, frequency: 1.078. For accuracy range: 0.72 to 0.75, frequency: 5.88. For accuracy range: 0.75 to 0.77, frequency: 4.02. For accuracy range: 0.77 to 0.79, frequency: 16.86. For accuracy range: 0.79 to 0.82, frequency: 27.94. For accuracy range: 0.82 to 0.84, frequency: 24.02. For accuracy range: 0.84 to 0.87, frequency: 19.02. Note: All numerical values are estimated. A red vertical dashed line extends from 0.8094 on the horizontal axis depicting the mean.

Histogram of the accuracy metric for the grey clustering machine learning model in predicting voluntary employee turnover intentions. Source: Author’s own elaboration

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