h1: measured-variant-rounds
section measurements
h2: measurements
table: Reading | Count
section model
h2: model
note: 268 candidates share identical input features. The number of sets of identical features is 104.
note: The evaluation RMSE of the model is not lower than the evaluation RMSE of the training-mean baseline.
note: The 95 % predictive intervals contain less than 95 % of the evaluation observations.
table: Predictor | Candidates | Mean absolute error (degC) | RMSE (degC) | R²
section highest-predicted
h2: highest-predicted
note: 268 candidates share identical input features. The number of sets of identical features is 104.
note: The evaluation RMSE of the model is not lower than the evaluation RMSE of the training-mean baseline.
note: The 95 % predictive intervals contain less than 95 % of the evaluation observations.
table: Candidate | Group
table: Reason not chosen | Candidates
section most-uncertain
h2: most-uncertain
note: 268 candidates share identical input features. The number of sets of identical features is 104.
note: The evaluation RMSE of the model is not lower than the evaluation RMSE of the training-mean baseline.
note: The 95 % predictive intervals contain less than 95 % of the evaluation observations.
table: Candidate | Group
table: Reason not chosen | Candidates
section random
h2: random
table: Candidate | Group
table: Reason not chosen | Candidates
