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Table 3 Range of training set sizes that was used to fit the power law expression in Eq. (1) and the goodness-of-fit measure, \(MAE_{fit}\)

From: Learning curves for drug response prediction in cancer cell lines

Dataset

\(m_{k=1}\)

\(m_K=|T|\)

\(MAE_{fit} (\times 10^{-5})\)

hGBDT

sNN

mNN

GDSC1

20,000

115,863

2.0

8.4

3.3

GDSC2

20,000

78,423

0.8

2.1

2.6

CTRP

50,000

203,650

0.4

1.0

1.7

NCI-60

100,000

675,000

0.8

2.1

0.9

  1. The \(R^2_{fit}\) for all the listed experiments is higher than 0.99