The confusion matrix is a three-by-three grid comparing true labels against predicted labels for low, medium, and high flowering-success classes. The matrix has labels on both axes: true label on the vertical axis and predicted label on the horizontal axis. The diagonal cells from top-left to bottom-right show the correctly predicted instances: 19 for low, 28 for medium, and 30 for high. Off-diagonal cells show misclassifications, such as 7 low instances predicted as medium, 8 medium instances predicted as low, and 4 high instances predicted as medium. The color gradient indicates the number of instances, with darker shades representing higher counts.Confusion matrix of the inception model showing the distribution of predicted labels across low, moderate and high flowering-success classes
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.