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1. the calculation of FP/TP/FN/TN for the toy dataset: labels = [0,0,0,0,0,1,1,1,1,1] predictions = [-0.8, -0.4, 0.0, 0.4, 0.8, 0.2, 0.6, 1.0, 1.4, 1.8] threshold
1. the calculation of FP/TP/FN/TN for the toy dataset:
labels = [0,0,0,0,0,1,1,1,1,1] predictions = [-0.8, -0.4, 0.0, 0.4, 0.8, 0.2, 0.6, 1.0, 1.4, 1.8] threshold = .5
2. The ROC curve for this dataset using a range of thresholds.
PS. Please provide the executable code in Jupyter notebook for the above. You can use the dataset from sklearn
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