Total Organic Carbon Content Prediction in Lacustrine Shale Using Extreme Gradient Boosting Machine Learning Based on Bayesian Optimization

Figure 7

Crossplots of the predicted TOC and core-measured TOC content: (a) XGBoost model, (b) RF model, (c) method, (d) KNN model, (e) SVM model, and (f) MLR model.

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