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Table F.1.

Optimal representations and random forest hyperparameters that yielded the best validation macro recalls (RMV) on the synthetic samples.

Sample Representation n_estimators min_samples_leaf max_features RDCV RSDV RCV RMV RDCT RSDT RCT RMT
W0C0 C ∼ DC 8 $ \boldsymbol{\tilde{C}}^\text{ DC}_{8} $ 100 1 sqrt 0.98 0.97 0.98 0.98 0.97 0.97 0.97 0.97
W0C1L25 C ∼ SD 7 $ \boldsymbol{\tilde{C}}^\text{ SD}_{7} $ 500 1 sqrt 0.90 0.89 0.96 0.92 0.87 0.87 0.95 0.89
W0C1L50 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 100 1 sqrt 0.93 0.92 0.96 0.94 0.91 0.90 0.96 0.92
W0C1L100 C ∼ SD 8 $ \boldsymbol{\tilde{C}}^\text{ SD}_{8} $ 500 1 sqrt 0.96 0.96 0.97 0.96 0.95 0.96 0.97 0.96
W0C5L25 C ∼ C 9 $ \boldsymbol{\tilde{C}}^\text{ C}_{9} $ 100 10 sqrt 0.85 0.74 0.85 0.81 0.81 0.68 0.81 0.77
W0C5L50 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 500 10 sqrt 0.84 0.76 0.86 0.82 0.82 0.71 0.82 0.78
W0C5L100 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 500 1 sqrt 0.89 0.90 0.94 0.91 0.87 0.87 0.91 0.89
W0C10L25 C ∼ C 9 $ \boldsymbol{\tilde{C}}^\text{ C}_{9} $ 500 10 sqrt 0.80 0.67 0.74 0.74 0.76 0.61 0.70 0.69
W0C10L50 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 500 10 sqrt 0.76 0.71 0.72 0.73 0.75 0.66 0.70 0.70
W0C10L100 C ∼ LC 99 $ \boldsymbol{\tilde{C}}^\text{ LC}_{99} $ 100 10 sqrt 0.88 0.76 0.91 0.85 0.84 0.73 0.89 0.82
W1C0 C ∼ DC 9 $ \boldsymbol{\tilde{C}}^\text{ DC}_{9} $ 500 1 sqrt 0.96 0.95 0.98 0.96 0.96 0.94 0.97 0.96
W1C1L25 C ∼ SD 8 $ \boldsymbol{\tilde{C}}^\text{ SD}_{8} $ 500 10 sqrt 0.93 0.86 0.96 0.92 0.90 0.84 0.95 0.89
W1C1L50 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 500 10 sqrt 0.94 0.89 0.97 0.93 0.93 0.88 0.95 0.92
W1C1L100 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 500 1 sqrt 0.95 0.94 0.98 0.96 0.95 0.93 0.97 0.95
W1C5L25 C ∼ C 6 $ \boldsymbol{\tilde{C}}^\text{ C}_{6} $ 500 10 sqrt 0.85 0.74 0.85 0.81 0.82 0.67 0.81 0.77
W1C5L50 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 100 10 sqrt 0.84 0.76 0.85 0.82 0.82 0.72 0.80 0.78
W1C5L100 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 500 1 sqrt 0.89 0.88 0.93 0.90 0.87 0.86 0.91 0.88
W1C10L25 C ∼ SD 7 $ \boldsymbol{\tilde{C}}^\text{ SD}_{7} $ 100 10 sqrt 0.79 0.67 0.73 0.73 0.78 0.61 0.69 0.69
W1C10L50 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 100 10 sqrt 0.76 0.69 0.74 0.73 0.74 0.65 0.69 0.69
W1C10L100 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 500 1 sqrt 0.84 0.84 0.86 0.85 0.79 0.81 0.82 0.81
W10C0 C ∼ SD 8 $ \boldsymbol{\tilde{C}}^\text{ SD}_{8} $ 500 1 sqrt 0.92 0.89 0.96 0.92 0.90 0.87 0.93 0.90
W10C1L25 C ∼ SD 8 $ \boldsymbol{\tilde{C}}^\text{ SD}_{8} $ 100 10 sqrt 0.92 0.83 0.95 0.90 0.91 0.80 0.91 0.88
W10C1L50 C ∼ DC 6 $ \boldsymbol{\tilde{C}}^\text{ DC}_{6} $ 500 1 sqrt 0.90 0.87 0.94 0.90 0.89 0.84 0.91 0.88
W10C1L100 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 500 1 sqrt 0.91 0.88 0.95 0.91 0.89 0.86 0.92 0.89
W10C5L25 C ∼ C 9 $ \boldsymbol{\tilde{C}}^\text{ C}_{9} $ 100 10 sqrt 0.86 0.74 0.85 0.82 0.83 0.67 0.79 0.76
W10C5L50 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 500 10 sqrt 0.85 0.76 0.84 0.82 0.82 0.70 0.81 0.78
W10C5L100 C ∼ DC 9 $ \boldsymbol{\tilde{C}}^\text{ DC}_{9} $ 500 1 sqrt 0.85 0.84 0.90 0.86 0.82 0.81 0.87 0.83
W10C10L25 C ∼ C 6 $ \boldsymbol{\tilde{C}}^\text{ C}_{6} $ 100 10 sqrt 0.76 0.67 0.73 0.72 0.74 0.61 0.69 0.68
W10C10L50 C ∼ SD 9 $ \boldsymbol{\tilde{C}}^\text{ SD}_{9} $ 500 10 sqrt 0.76 0.70 0.75 0.74 0.74 0.65 0.69 0.69
W10C10L100 C ∼ SD 8 $ \boldsymbol{\tilde{C}}^\text{ SD}_{8} $ 500 10 None 0.84 0.75 0.84 0.81 0.82 0.70 0.80 0.77
W100C0 C ∼ C 5 $ \boldsymbol{\tilde{C}}^\text{ C}_{5} $ 500 10 sqrt 0.90 0.73 0.81 0.82 0.89 0.69 0.77 0.78
W100C1L25 C ∼ C 4 $ \boldsymbol{\tilde{C}}^\text{ C}_{4} $ 100 10 sqrt 0.89 0.73 0.82 0.81 0.86 0.68 0.78 0.77
W100C1L50 C ∼ SD 7 $ \boldsymbol{\tilde{C}}^\text{ SD}_{7} $ 500 10 log2 0.91 0.74 0.81 0.82 0.87 0.68 0.77 0.77
W100C1L100 C ∼ C 5 $ \boldsymbol{\tilde{C}}^\text{ C}_{5} $ 100 10 sqrt 0.89 0.73 0.81 0.81 0.87 0.68 0.77 0.77
W100C5L25 C ∼ SD 7 $ \boldsymbol{\tilde{C}}^\text{ SD}_{7} $ 500 10 log2 0.85 0.70 0.77 0.78 0.82 0.65 0.72 0.73
W100C5L50 C ∼ SD 6 $ \boldsymbol{\tilde{C}}^\text{ SD}_{6} $ 100 10 sqrt 0.83 0.71 0.77 0.77 0.80 0.66 0.73 0.73
W100C5L100 C ∼ SD 7 $ \boldsymbol{\tilde{C}}^\text{ SD}_{7} $ 500 10 log2 0.82 0.72 0.79 0.78 0.79 0.68 0.74 0.74
W100C10L25 C ∼ DC 8 $ \boldsymbol{\tilde{C}}^\text{ DC}_{8} $ 500 10 sqrt 0.80 0.67 0.68 0.72 0.77 0.59 0.65 0.67
W100C10L50 C ∼ DC 6 $ \boldsymbol{\tilde{C}}^\text{ DC}_{6} $ 500 10 sqrt 0.78 0.68 0.68 0.71 0.76 0.62 0.65 0.68
W100C10L100 C ∼ SD 8 $ \boldsymbol{\tilde{C}}^\text{ SD}_{8} $ 500 10 sqrt 0.78 0.71 0.74 0.75 0.76 0.66 0.71 0.71

Notes. We also present the validation class recalls for the dark companion (RDCV), semidetached (RSDV), and contact (RCV) binary light curves as well as the test class recalls (RDCT, RSDT, RCT) and the test macro recall (RMT) of the best performing classifiers. We describe the synthetic samples in Sect. 2 and provide the definitions of the representations in Sects. 3.1–3.2. The symbol C ∼ LC 99 $ \boldsymbol{\tilde{C}}^\text{ LC}_{99} $ denotes the extended full representation. The definitions of the hyperparameters are given in Sect. 3.4.

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