Figure 5From: Learning accurate and interpretable models based on regularized random forests regressionHeatmap of confusion matrix. Target values are partitioned into 20 intervals. True values and prediction values are then discretized into those intervals. Confusion matrix between true values and prediction values is formed by counting the number of matches within each interval. The counts are divided by the maximum count.Back to article page