Neural

More examples for this topic using the sample data files provided with JMP

Train a neural network model with ABRASION, MODULUS, ELONG, and HARDNESS as the response variables and SILICA, SILANE, and SULFUR as the predictors. Use Holdback validation with a holdback percentage of 33.33.

// Open data table
dt = Open("$Sample_Data/Tiretread.jmp");
// Neural
Neural(
    Y(
        :ABRASION, :MODULUS, :ELONG,
        :HARDNESS
    ),
    X( :SILICA, :SILANE, :SULFUR ),
    Informative Missing( 0 ),
    Validation Method(
        "Holdback", 0.3333
    ),
    Go,
    Profiler( 1 )
);