Table 1.

Accuracies of logistic and random forest models to predict gain verus loss and high versus low categories for different tissues at each developmental time point. Accuracies were calculated based on 5-fold cross validation

Gain versus loss	Logistic regression					Random forest
Tissue	12.5 day	13.5 day	14.5 day	15.5 day	16.5 day	12.5 day	13.5 day	14.5 day	15.5 day	16.5 day
Forebrain	0.53	0.59	0.64	0.6	0.62	0.57	0.67	0.7	0.67	0.7
Heart	0.62	0.62	0.5	0.62	0.6	0.62	0.64	0.64	0.64	0.62
Hindbrain	0.53	0.63	0.63	0.63	0.59	0.58	0.69	0.71	0.7	0.69
Limb	0.52	0.57	0.56	0.58	NA	0.61	0.61	0.67	0.64	NA
Liver	0.59	0.54	0.47	0.54	0.53	0.64	0.59	0.52	0.59	0.61
Midbrain	0.58	0.63	0.65	0.62	0.62	0.59	0.71	0.72	0.69	0.7
Neural tube	0.55	0.61	0.65	0.59	NA	0.59	0.67	0.72	0.68	NA
High versus low	Logistic regression					Random forest
Tissue	12.5 day	13.5 day	14.5 day	15.5 day	16.5 day	12.5 day	13.5 day	14.5 day	15.5 day	16.5 day
Forebrain	0.63	0.64	0.63	0.63	0.61	0.7	0.69	0.69	0.69	0.67
Heart	0.61	0.63	0.61	0.62	0.62	0.69	0.7	0.69	0.7	0.68
Hindbrain	0.63	0.62	0.62	0.62	0.63	0.69	0.69	0.68	0.69	0.7
Limb	0.63	0.63	0.62	0.62	NA	0.69	0.69	0.67	0.68	NA
Liver	0.62	0.6	0.6	0.59	0.59	0.69	0.67	0.67	0.66	0.67
Midbrain	0.62	0.62	0.63	0.63	0.62	0.68	0.69	0.69	0.68	0.68
Neural tube	0.65	0.63	0.62	0.64	NA	0.7	0.69	0.67	0.7	NA