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reginabarzilaygroup / Sybil

Deep Learning for Lung Cancer Risk Prediction using LDCT
MIT License
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SCORE meaning #18

Closed jhchenchong closed 11 months ago

jhchenchong commented 11 months ago

I am a beginner. I got the Prediction scores and I want to know what each score represents Prediction(scores=[[0.0005993253234549188, 0.0032729617776346745, 0.005461805129414722, 0.010187651898493539, 0.01629524016091344, 0.027880663449820757], [0.002614143679095454, 0.006778430365650433, 0.01608498481612357, 0.02285970665741425, 0.027484834813507393, 0.0459973147267193]]) Thanks!

pgmikhael commented 11 months ago

Hi, these look to be scores for two exams. For each exam, there are 6 scores that correspond to the predicted probability of cancer development within X years. For instance, the second score in each list is the predicted probability of cancer development within 2 years. These are calibrated to the population that the model was trained on.