Data for: Redshift Prediction with Images for Cosmology using a Bayesian Convolutional Neural Network with Conformal Predictions

These files contain the predictions from the CNN and BCNN model from the paper titled: "Redshift Prediction with Images for Cosmology using a Bayesian Convolutional Neural Network with Conformal Predictions" (Jones et al. 2024). These files will allow reproduction of the performance metrics described in the paper. full_prediction_set_CNN.csv - predictions for the redshift using the CNN model of the entire datasetcnn_evaluation.csv - predictions from just the evaluation dataset that was not used in training Columns are: photoz - predicted photoz from the modelspecz - spectroscopic redshiftobjectid - object ID from HSC PDR2 data release (Aihara et al. 2019) full_prediction_set_BCNN.csv - predictions for the redshift using the BCNN model of the entire datasetbcnn_evaluation.csv - predictions from just the evaluation dataset that was not used in training Columns are: photoz - predicted photoz from the modelspecz - spectroscopic redshiftobjectid - object ID from HSC PDR2 data release (Aihara et al. 2019)photoz_uncertainty - uncertainty in the predicted photoz