Dataset Analysis
ioloptimization.com/datasetanalysis does not store any patient data.
Cross validation
70/30Cross / Validation: Divides the dataset into a test and a training set. A random 70/30 or 80/20 split is done. The biggest subset (70% or 80%) is used to optimize the constant, and the smallest subset, to validate it. Can be done more than once.
70/30Cross / Validation: Divides the dataset into a test and a training set. A random 70/30 or 80/20 split is done. The biggest subset (70% or 80%) is used to optimize the constant, and the smallest subset, to validate it. Can be done more than once.
Cross validation
80/20Cross / Validation: Divides the dataset into a test and a training set. A random 70/30 or 80/20 split is done. The biggest subset (70% or 80%) is used to optimize the constant, and the smallest subset, to validate it. Can be done more than once.
80/20Cross / Validation: Divides the dataset into a test and a training set. A random 70/30 or 80/20 split is done. The biggest subset (70% or 80%) is used to optimize the constant, and the smallest subset, to validate it. Can be done more than once.
¹Prediction error (actual - expected)
²This P.E. values are estimated and may have clinically insignificant differences as low as +/-0.03 (usually lower)
since they are not directly calculated from the formula.
²This P.E. values are estimated and may have clinically insignificant differences as low as +/-0.03 (usually lower)
since they are not directly calculated from the formula.