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Table 1 Training schemes used in our ML study; scheme variants labeled with an asterisk exclude the plastic strain from the considered features

From: Relating plasticity to dislocation properties by data analysis: scaling vs. machine learning approaches

No.

training data

test data

features

1/1*

all simulation data

all experimental data

\(\rho ,\dot{\gamma },(\varepsilon _{\mathrm {p}})\)

2/2*

subset of all data (\(88\%\))

subset of all data (\(12\%)\)

\(\rho ,\dot{\gamma },(\varepsilon _{\mathrm {p}})\)

3/3*

subset of experimental data (\(84\%\))

subset of experimental data (\(16\%\))

\(\rho ,\dot{\gamma },(\varepsilon _{\mathrm {p}})\)

4/4*

subset of simulation data (\(90\%\))

subset of simulation data (\(10\%\))

\(\rho ,\dot{\gamma },(\varepsilon _{\mathrm {p}})\)