Table 2.

Final testing set PCC (Pearson cross correlation) of algorithms with NCI dataset.

PCC score
Cell lines
AlgorithmMCF7OVCAR-8SK-MEL-5
SynAI0.68 ± 0.020.56 ± 0.070.86 ± 0.02
RF0.64 ± 0.020.55 ± 0.030.89 ± 0.02
GBX0.66 ± 0.020.48 ± 0.050.88 ± 0.02
RNN0.54 ± 0.120.43 ± 0.060.83 ± 0.08
PCC score
Cell lines
AlgorithmMCF7OVCAR-8SK-MEL-5
SynAI0.68 ± 0.020.56 ± 0.070.86 ± 0.02
RF0.64 ± 0.020.55 ± 0.030.89 ± 0.02
GBX0.66 ± 0.020.48 ± 0.050.88 ± 0.02
RNN0.54 ± 0.120.43 ± 0.060.83 ± 0.08
Table 2.

Final testing set PCC (Pearson cross correlation) of algorithms with NCI dataset.

PCC score
Cell lines
AlgorithmMCF7OVCAR-8SK-MEL-5
SynAI0.68 ± 0.020.56 ± 0.070.86 ± 0.02
RF0.64 ± 0.020.55 ± 0.030.89 ± 0.02
GBX0.66 ± 0.020.48 ± 0.050.88 ± 0.02
RNN0.54 ± 0.120.43 ± 0.060.83 ± 0.08
PCC score
Cell lines
AlgorithmMCF7OVCAR-8SK-MEL-5
SynAI0.68 ± 0.020.56 ± 0.070.86 ± 0.02
RF0.64 ± 0.020.55 ± 0.030.89 ± 0.02
GBX0.66 ± 0.020.48 ± 0.050.88 ± 0.02
RNN0.54 ± 0.120.43 ± 0.060.83 ± 0.08
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