Which of the curves is more likely to be the training error and which is more likely to be the validation error? Indicate on the graph. In which regions of the graph are bias and variance low and...

Extracted text: Which of the curves is more likely to be the training error and which is more likely to be the validation error? Indicate on the graph. In which regions of the graph are bias and variance low and high? Indicate clearly on the graph with four labels: "low variance", "high variance", "low bias", "high bias". In which regions does the model overfit or underfit? Indicate clearly on the graph by labeling "overfit" and "underfit". ariance Variance Bias Bias Model complexity Validation Error Training Error Underfit Overfit High Bias Low Bias High Variance Low Variance Prediction error