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The flattening out of the training accuracy curve indicates a floor in accuracy for the given choice of model & featurization. Even with much more data, it is very likely that creating predictions more accurate than such a floor would require better choices of model and featurization. Empirically...
4 Receiver operating curve area under the curve scores (ROC AUC) and F1 scores for the classification of impact categories. Each pair of dots represents the scores for a distinct cross-validation fold. Horizontal lines show the mean score across folds. Extended Data Fig. 5 Receiver operating ...
It’s basically a stash of cash that you can tap into when life throws a curveball—whether it’s an unexpected medical bill, car repair, or even a job loss. According to a financial adviser featured on ANC Money, your emergency fund should ideally cover 3 to 6 months of your monthly...
📝 Examining the Agile Cost of Change Curve. 📝 The Code Quality vs. Speed Fallacy. 📝 The Cost of Change. 📝 Inefficient Efficiency. 📝 Duplication, you're welcome. 📝 Write code that is easy to delete, not easy to extend. 📝 Repeat yourself, do more than one thing, and ...
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Therefore, a precision-recall curve can help us to evaluate the influence of classifier performance with different thresholds. We found that the optimal threshold in this dataset was 0.71 (Additional file 2: Fig. S9A). We analyzed the performance matrix in the dataset with the default threshold...