fig4

Machine learning-driven morphology identification and classification of high-throughput functional oxide films

Figure 4. Systematic performance evaluation of the SRO morphological classification model. (A) Visualization of representative classification results from the independent test set; (B) Multiclass CM for classification accuracy assessment; (C) ROC curves with corresponding AUC values across four morphological categories. SRO: SrRuO3; CM: confusion matrix; ROC: receiver operating characteristic; AUC: area under the curve; TPR: true positive rates; FPR: false positive rates.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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