=============
Table3
=============
=============== Original ===================
Models, Transfer/training, Precision %, Recall %, Accuracy %
Korea Model, Local, 86.2, 83.82, 95.05
Germany Model, Local, 90.34, 79.89, 95.22
Germany → Korean, Domain Adaptation, 86.61, 71.17, 93.23
Germany → Poland, Domain Adaptation, 76.76, 82.19, 93.43
Germany → Poland + Additional training, Domain Adaptation, 77.33, 79.94, 93.3

=============== New=========================
Models, Transfer/training, Precision %, Recall %, Accuracy %
Korea Model, Local, 86.3, 83.44, 95.09
Germany Model, Local, 89.33, 80.30, 95.14
Korean → Germany, Domain Adaptation, 91.79, 71.89, 93.45
Korean → Poland, Domain Adaptation, 65.18, 75.26, 95.36
Korean → Poland + Additional training, Domain Adaptation, NA, NA, NA


==============
Overall Comparison
--------------
Korea-Local, Value from Table3     : {'Precision': 0.862, 'Recall': 0.8382, 'Accuracy': 0.9505}
Korea-Local, Best Match (seed = 12): {'Precision': 0.863, 'Recall': 0.8344, 'Accuracy': 0.9509}
--------------
Germany-Local, Value from Table3       : {'Precision': 0.9034, 'Recall': 0.7989, 'Accuracy': 0.9522}
Germany-Local, Close Match (seed=58)   : {'Precision': 0.8977, 'Recall': 0.8103, 'Accuracy': 0.9539}
Germany-Local, Close Match (seed=76)   : {'Precision': 0.8933, 'Recall': 0.8030, 'Accuracy': 0.9514}
Germany-Local, Improved Match (seed=79): {'Precision': 0.9058, 'Recall': 0.8278, 'Accuracy': 0.9547}
---------------
Korea->Germany, Value from Table3               : {'Precision': 0.8661, 'Recall': 0.7177, 'Accuracy': 0.9323}
Korea->Germany, Close(& Improved Match)(seed=42): {'Precision': 0.9179, 'Recall': 0.7189, 'Accuracy': 0.9345}
---------------
Korea->Poland, Value from Table3    : {'Precision': 0.7676, 'Recall': 0.8219, 'Accuracy': 0.9343}
Korea->Poland, Close Match (seed=26): {'Precision': 0.6518, 'Recall': 0.7526, 'Accuracy': 0.9536}
Korea->Poland, Close Match (seed=85): {'Precision': 0.6606, 'Recall': 0.7423, 'Accuracy': 0.9544}
===============


Korea - Local
Reported value, Table3:  {'Precision': 0.862, 'Recall': 0.8382, 'Accuracy': 0.9505}

{'Run ID': 0, 'Random Seed': 42, 'Precision': 0.862, 'Recall': 0.824, 'Accuracy': 0.947}
{'Run ID': 1, 'Random Seed': 1, 'Precision': 0.8606, 'Recall': 0.8318, 'Accuracy': 0.949}
{'Run ID': 2, 'Random Seed': 2, 'Precision': 0.8353, 'Recall': 0.8096, 'Accuracy': 0.9417}
{'Run ID': 3, 'Random Seed': 3, 'Precision': 0.8614, 'Recall': 0.8012, 'Accuracy': 0.9432}
{'Run ID': 4, 'Random Seed': 4, 'Precision': 0.88, 'Recall': 0.8251, 'Accuracy': 0.9512}
{'Run ID': 5, 'Random Seed': 5, 'Precision': 0.8706, 'Recall': 0.8193, 'Accuracy': 0.9492}
{'Run ID': 6, 'Random Seed': 6, 'Precision': 0.8669, 'Recall': 0.8042, 'Accuracy': 0.9458}
{'Run ID': 7, 'Random Seed': 7, 'Precision': 0.8587, 'Recall': 0.8245, 'Accuracy': 0.948}
{'Run ID': 8, 'Random Seed': 8, 'Precision': 0.8454, 'Recall': 0.8208, 'Accuracy': 0.9439}
{'Run ID': 9, 'Random Seed': 9, 'Precision': 0.8687, 'Recall': 0.8124, 'Accuracy': 0.947}
{'Run ID': 10, 'Random Seed': 10, 'Precision': 0.8596, 'Recall': 0.8215, 'Accuracy': 0.9459}
{'Run ID': 11, 'Random Seed': 11, 'Precision': 0.8545, 'Recall': 0.815, 'Accuracy': 0.9463}
CLOSEST MATCH-->{'Run ID': 12, 'Random Seed': 12, 'Precision': 0.863, 'Recall': 0.8344, 'Accuracy': 0.9509}
{'Run ID': 13, 'Random Seed': 13, 'Precision': 0.8725, 'Recall': 0.8094, 'Accuracy': 0.9483}
{'Run ID': 14, 'Random Seed': 14, 'Precision': 0.8638, 'Recall': 0.8238, 'Accuracy': 0.9482}
{'Run ID': 15, 'Random Seed': 15, 'Precision': 0.8737, 'Recall': 0.7998, 'Accuracy': 0.9446}
{'Run ID': 16, 'Random Seed': 16, 'Precision': 0.8562, 'Recall': 0.8049, 'Accuracy': 0.9446}
{'Run ID': 17, 'Random Seed': 17, 'Precision': 0.8667, 'Recall': 0.8226, 'Accuracy': 0.95}
{'Run ID': 18, 'Random Seed': 18, 'Precision': 0.8602, 'Recall': 0.793, 'Accuracy': 0.9413}
{'Run ID': 19, 'Random Seed': 19, 'Precision': 0.8595, 'Recall': 0.7914, 'Accuracy': 0.9425}
{'Run ID': 20, 'Random Seed': 20, 'Precision': 0.8658, 'Recall': 0.7885, 'Accuracy': 0.9446}
{'Run ID': 21, 'Random Seed': 21, 'Precision': 0.8725, 'Recall': 0.8036, 'Accuracy': 0.9471}
{'Run ID': 22, 'Random Seed': 22, 'Precision': 0.8573, 'Recall': 0.8178, 'Accuracy': 0.9458}
{'Run ID': 23, 'Random Seed': 23, 'Precision': 0.8611, 'Recall': 0.82, 'Accuracy': 0.9453}
{'Run ID': 24, 'Random Seed': 24, 'Precision': 0.8499, 'Recall': 0.8179, 'Accuracy': 0.9453}
{'Run ID': 25, 'Random Seed': 25, 'Precision': 0.8651, 'Recall': 0.8225, 'Accuracy': 0.9471}
{'Run ID': 26, 'Random Seed': 26, 'Precision': 0.8605, 'Recall': 0.8028, 'Accuracy': 0.9434}
{'Run ID': 27, 'Random Seed': 27, 'Precision': 0.8568, 'Recall': 0.8181, 'Accuracy': 0.9471}
{'Run ID': 28, 'Random Seed': 28, 'Precision': 0.8453, 'Recall': 0.8177, 'Accuracy': 0.9444}
{'Run ID': 29, 'Random Seed': 29, 'Precision': 0.8498, 'Recall': 0.8347, 'Accuracy': 0.9461}
{'Run ID': 30, 'Random Seed': 30, 'Precision': 0.8567, 'Recall': 0.8343, 'Accuracy': 0.9482}
{'Run ID': 31, 'Random Seed': 31, 'Precision': 0.8675, 'Recall': 0.804, 'Accuracy': 0.9451}
{'Run ID': 32, 'Random Seed': 32, 'Precision': 0.8576, 'Recall': 0.8152, 'Accuracy': 0.9459}
{'Run ID': 33, 'Random Seed': 33, 'Precision': 0.8559, 'Recall': 0.8432, 'Accuracy': 0.9483}
{'Run ID': 34, 'Random Seed': 34, 'Precision': 0.8522, 'Recall': 0.807, 'Accuracy': 0.9432}
{'Run ID': 35, 'Random Seed': 35, 'Precision': 0.839, 'Recall': 0.8288, 'Accuracy': 0.9444}
{'Run ID': 36, 'Random Seed': 36, 'Precision': 0.8545, 'Recall': 0.8166, 'Accuracy': 0.9442}
{'Run ID': 37, 'Random Seed': 37, 'Precision': 0.8613, 'Recall': 0.8159, 'Accuracy': 0.9459}
{'Run ID': 38, 'Random Seed': 38, 'Precision': 0.857, 'Recall': 0.8177, 'Accuracy': 0.9466}
{'Run ID': 39, 'Random Seed': 39, 'Precision': 0.8536, 'Recall': 0.807, 'Accuracy': 0.942}
{'Run ID': 40, 'Random Seed': 40, 'Precision': 0.8498, 'Recall': 0.8144, 'Accuracy': 0.9461}
{'Run ID': 41, 'Random Seed': 41, 'Precision': 0.8779, 'Recall': 0.8071, 'Accuracy': 0.9471}




Germany - Local
Reported value, Table3:  {'Precision': 0.9034, 'Recall': 0.7989, 'Accuracy': 0.9522}

{'Run ID': 0, 'Random Seed': 42, 'Precision': 0.852, 'Recall': 0.777, 'Accuracy': 0.942}
{'Run ID': 1, 'Random Seed': 1, 'Precision': 0.8343, 'Recall': 0.7684, 'Accuracy': 0.9388}
{'Run ID': 2, 'Random Seed': 2, 'Precision': 0.847, 'Recall': 0.8158, 'Accuracy': 0.9472}
{'Run ID': 3, 'Random Seed': 3, 'Precision': 0.8258, 'Recall': 0.8497, 'Accuracy': 0.9522}
{'Run ID': 4, 'Random Seed': 4, 'Precision': 0.8201, 'Recall': 0.8378, 'Accuracy': 0.9464}
{'Run ID': 5, 'Random Seed': 5, 'Precision': 0.8663, 'Recall': 0.7801, 'Accuracy': 0.9455}
{'Run ID': 6, 'Random Seed': 6, 'Precision': 0.8603, 'Recall': 0.7586, 'Accuracy': 0.938}
{'Run ID': 7, 'Random Seed': 7, 'Precision': 0.8743, 'Recall': 0.7969, 'Accuracy': 0.9489}
{'Run ID': 8, 'Random Seed': 8, 'Precision': 0.8827, 'Recall': 0.794, 'Accuracy': 0.948}
{'Run ID': 9, 'Random Seed': 9, 'Precision': 0.8779, 'Recall': 0.8032, 'Accuracy': 0.9514}
{'Run ID': 10, 'Random Seed': 10, 'Precision': 0.8187, 'Recall': 0.8418, 'Accuracy': 0.9489}
{'Run ID': 11, 'Random Seed': 11, 'Precision': 0.8842, 'Recall': 0.8571, 'Accuracy': 0.9581}
{'Run ID': 12, 'Random Seed': 12, 'Precision': 0.8421, 'Recall': 0.8163, 'Accuracy': 0.9447}
{'Run ID': 13, 'Random Seed': 13, 'Precision': 0.8138, 'Recall': 0.8182, 'Accuracy': 0.9422}
{'Run ID': 14, 'Random Seed': 14, 'Precision': 0.8506, 'Recall': 0.7957, 'Accuracy': 0.9464}
{'Run ID': 15, 'Random Seed': 15, 'Precision': 0.8689, 'Recall': 0.8196, 'Accuracy': 0.9505}
{'Run ID': 16, 'Random Seed': 16, 'Precision': 0.7989, 'Recall': 0.7722, 'Accuracy': 0.9363}
{'Run ID': 17, 'Random Seed': 17, 'Precision': 0.8659, 'Recall': 0.7949, 'Accuracy': 0.9464}
{'Run ID': 18, 'Random Seed': 18, 'Precision': 0.7846, 'Recall': 0.8644, 'Accuracy': 0.9447}
{'Run ID': 19, 'Random Seed': 19, 'Precision': 0.8402, 'Recall': 0.7717, 'Accuracy': 0.9422}
{'Run ID': 20, 'Random Seed': 20, 'Precision': 0.7956, 'Recall': 0.7784, 'Accuracy': 0.9346}
{'Run ID': 21, 'Random Seed': 21, 'Precision': 0.8201, 'Recall': 0.8245, 'Accuracy': 0.9438}
{'Run ID': 22, 'Random Seed': 22, 'Precision': 0.8473, 'Recall': 0.839, 'Accuracy': 0.9464}
{'Run ID': 23, 'Random Seed': 23, 'Precision': 0.8475, 'Recall': 0.7979, 'Accuracy': 0.9455}
{'Run ID': 24, 'Random Seed': 24, 'Precision': 0.7838, 'Recall': 0.8056, 'Accuracy': 0.9371}
{'Run ID': 25, 'Random Seed': 25, 'Precision': 0.8757, 'Recall': 0.7789, 'Accuracy': 0.9447}
{'Run ID': 26, 'Random Seed': 26, 'Precision': 0.8492, 'Recall': 0.7876, 'Accuracy': 0.943}
{'Run ID': 27, 'Random Seed': 27, 'Precision': 0.8715, 'Recall': 0.8342, 'Accuracy': 0.9547}
CLOSE MATCH-->{'Run ID': 28, 'Random Seed': 28, 'Precision': 0.9096, 'Recall': 0.7704, 'Accuracy': 0.9497}
{'Run ID': 29, 'Random Seed': 29, 'Precision': 0.8655, 'Recall': 0.7831, 'Accuracy': 0.9464}
{'Run ID': 30, 'Random Seed': 30, 'Precision': 0.8427, 'Recall': 0.7772, 'Accuracy': 0.9405}
{'Run ID': 31, 'Random Seed': 31, 'Precision': 0.8452, 'Recall': 0.7553, 'Accuracy': 0.9396}
{'Run ID': 32, 'Random Seed': 32, 'Precision': 0.8511, 'Recall': 0.8163, 'Accuracy': 0.9464}
{'Run ID': 33, 'Random Seed': 33, 'Precision': 0.8281, 'Recall': 0.8196, 'Accuracy': 0.943}
CLOSE MATCH-->{'Run ID': 34, 'Random Seed': 34, 'Precision': 0.884, 'Recall': 0.804, 'Accuracy': 0.9497}
{'Run ID': 35, 'Random Seed': 35, 'Precision': 0.8514, 'Recall': 0.8278, 'Accuracy': 0.9522}
{'Run ID': 36, 'Random Seed': 36, 'Precision': 0.8771, 'Recall': 0.7734, 'Accuracy': 0.943}
{'Run ID': 37, 'Random Seed': 37, 'Precision': 0.8244, 'Recall': 0.8579, 'Accuracy': 0.9464}
{'Run ID': 38, 'Random Seed': 38, 'Precision': 0.8371, 'Recall': 0.7884, 'Accuracy': 0.9422}
{'Run ID': 39, 'Random Seed': 39, 'Precision': 0.8333, 'Recall': 0.8081, 'Accuracy': 0.9413}
{'Run ID': 40, 'Random Seed': 40, 'Precision': 0.8607, 'Recall': 0.8357, 'Accuracy': 0.948}
{'Run ID': 41, 'Random Seed': 41, 'Precision': 0.8791, 'Recall': 0.8081, 'Accuracy': 0.9497}

more runs, ignore Run ID...
{'Run ID': 0, 'Random Seed': 42, 'Precision': 0.852, 'Recall': 0.777, 'Accuracy': 0.942}
{'Run ID': 1, 'Random Seed': 43, 'Precision': 0.8554, 'Recall': 0.7634, 'Accuracy': 0.943}
{'Run ID': 2, 'Random Seed': 44, 'Precision': 0.8351, 'Recall': 0.797, 'Accuracy': 0.9405}
{'Run ID': 3, 'Random Seed': 45, 'Precision': 0.847, 'Recall': 0.8158, 'Accuracy': 0.9472}
{'Run ID': 4, 'Random Seed': 46, 'Precision': 0.8534, 'Recall': 0.849, 'Accuracy': 0.9522}
{'Run ID': 5, 'Random Seed': 47, 'Precision': 0.7935, 'Recall': 0.7935, 'Accuracy': 0.9363}
{'Run ID': 6, 'Random Seed': 48, 'Precision': 0.8108, 'Recall': 0.8242, 'Accuracy': 0.9438}
{'Run ID': 7, 'Random Seed': 49, 'Precision': 0.8378, 'Recall': 0.8073, 'Accuracy': 0.9438}
{'Run ID': 8, 'Random Seed': 50, 'Precision': 0.8579, 'Recall': 0.8441, 'Accuracy': 0.9539}
{'Run ID': 9, 'Random Seed': 51, 'Precision': 0.801, 'Recall': 0.8214, 'Accuracy': 0.9371}
{'Run ID': 10, 'Random Seed': 52, 'Precision': 0.8649, 'Recall': 0.8333, 'Accuracy': 0.9522}
{'Run ID': 11, 'Random Seed': 53, 'Precision': 0.803, 'Recall': 0.8641, 'Accuracy': 0.9464}
{'Run ID': 12, 'Random Seed': 54, 'Precision': 0.8254, 'Recall': 0.7959, 'Accuracy': 0.9388}
{'Run ID': 13, 'Random Seed': 55, 'Precision': 0.8718, 'Recall': 0.8543, 'Accuracy': 0.9547}
{'Run ID': 14, 'Random Seed': 56, 'Precision': 0.8212, 'Recall': 0.7903, 'Accuracy': 0.9405}
{'Run ID': 15, 'Random Seed': 57, 'Precision': 0.8182, 'Recall': 0.7784, 'Accuracy': 0.9388}
CLOSE MATCH-->{'Run ID': 16, 'Random Seed': 58, 'Precision': 0.8977, 'Recall': 0.8103, 'Accuracy': 0.9539}
{'Run ID': 17, 'Random Seed': 59, 'Precision': 0.896, 'Recall': 0.7711, 'Accuracy': 0.9464}
{'Run ID': 18, 'Random Seed': 60, 'Precision': 0.8571, 'Recall': 0.8168, 'Accuracy': 0.9489}
CLOSE MATCH-->{'Run ID': 19, 'Random Seed': 61, 'Precision': 0.9141, 'Recall': 0.7801, 'Accuracy': 0.9531}
{'Run ID': 20, 'Random Seed': 62, 'Precision': 0.8325, 'Recall': 0.8497, 'Accuracy': 0.948}
{'Run ID': 21, 'Random Seed': 63, 'Precision': 0.8621, 'Recall': 0.8065, 'Accuracy': 0.9497}
{'Run ID': 22, 'Random Seed': 64, 'Precision': 0.8538, 'Recall': 0.7565, 'Accuracy': 0.9396}
{'Run ID': 23, 'Random Seed': 65, 'Precision': 0.8674, 'Recall': 0.8135, 'Accuracy': 0.9497}
{'Run ID': 24, 'Random Seed': 66, 'Precision': 0.8495, 'Recall': 0.794, 'Accuracy': 0.9422}
{'Run ID': 25, 'Random Seed': 67, 'Precision': 0.8365, 'Recall': 0.8131, 'Accuracy': 0.938}
{'Run ID': 26, 'Random Seed': 68, 'Precision': 0.8366, 'Recall': 0.8325, 'Accuracy': 0.9438}
{'Run ID': 27, 'Random Seed': 69, 'Precision': 0.8307, 'Recall': 0.8307, 'Accuracy': 0.9464}
{'Run ID': 28, 'Random Seed': 70, 'Precision': 0.8352, 'Recall': 0.7989, 'Accuracy': 0.9447}
{'Run ID': 29, 'Random Seed': 71, 'Precision': 0.877, 'Recall': 0.7961, 'Accuracy': 0.9455}
{'Run ID': 30, 'Random Seed': 72, 'Precision': 0.801, 'Recall': 0.8486, 'Accuracy': 0.9438}
{'Run ID': 31, 'Random Seed': 73, 'Precision': 0.8482, 'Recall': 0.798, 'Accuracy': 0.9413}
{'Run ID': 32, 'Random Seed': 74, 'Precision': 0.8488, 'Recall': 0.8066, 'Accuracy': 0.9489}
{'Run ID': 33, 'Random Seed': 75, 'Precision': 0.8087, 'Recall': 0.8457, 'Accuracy': 0.948}
CLOSE MATCH-->{'Run ID': 34, 'Random Seed': 76, 'Precision': 0.8933, 'Recall': 0.803, 'Accuracy': 0.9514}
{'Run ID': 35, 'Random Seed': 77, 'Precision': 0.8373, 'Recall': 0.7943, 'Accuracy': 0.9472}
{'Run ID': 36, 'Random Seed': 78, 'Precision': 0.8963, 'Recall': 0.7656, 'Accuracy': 0.948}
IMPROVED MATCH-->{'Run ID': 37, 'Random Seed': 79, 'Precision': 0.9058, 'Recall': 0.8278, 'Accuracy': 0.9547}
{'Run ID': 38, 'Random Seed': 80, 'Precision': 0.847, 'Recall': 0.7711, 'Accuracy': 0.938}
{'Run ID': 39, 'Random Seed': 81, 'Precision': 0.8415, 'Recall': 0.7662, 'Accuracy': 0.9363}
{'Run ID': 40, 'Random Seed': 82, 'Precision': 0.8624, 'Recall': 0.8191, 'Accuracy': 0.948}
{'Run ID': 41, 'Random Seed': 83, 'Precision': 0.8857, 'Recall': 0.799, 'Accuracy': 0.9505}
{'Run ID': 42, 'Random Seed': 84, 'Precision': 0.8743, 'Recall': 0.7969, 'Accuracy': 0.9489}
{'Run ID': 43, 'Random Seed': 85, 'Precision': 0.8807, 'Recall': 0.8333, 'Accuracy': 0.9564}
{'Run ID': 44, 'Random Seed': 86, 'Precision': 0.8495, 'Recall': 0.8272, 'Accuracy': 0.9489}
{'Run ID': 45, 'Random Seed': 87, 'Precision': 0.8614, 'Recall': 0.8488, 'Accuracy': 0.9505}
{'Run ID': 46, 'Random Seed': 88, 'Precision': 0.866, 'Recall': 0.7887, 'Accuracy': 0.9405}
{'Run ID': 47, 'Random Seed': 89, 'Precision': 0.828, 'Recall': 0.828, 'Accuracy': 0.9464}
{'Run ID': 48, 'Random Seed': 90, 'Precision': 0.8238, 'Recall': 0.8457, 'Accuracy': 0.9472}
{'Run ID': 49, 'Random Seed': 91, 'Precision': 0.8605, 'Recall': 0.8043, 'Accuracy': 0.9497}
{'Run ID': 50, 'Random Seed': 92, 'Precision': 0.8721, 'Recall': 0.7772, 'Accuracy': 0.9455}
{'Run ID': 51, 'Random Seed': 93, 'Precision': 0.8131, 'Recall': 0.8173, 'Accuracy': 0.9388}
{'Run ID': 52, 'Random Seed': 94, 'Precision': 0.8896, 'Recall': 0.8286, 'Accuracy': 0.9598}
{'Run ID': 53, 'Random Seed': 95, 'Precision': 0.8105, 'Recall': 0.8191, 'Accuracy': 0.9413}
{'Run ID': 54, 'Random Seed': 96, 'Precision': 0.8786, 'Recall': 0.7677, 'Accuracy': 0.9438}
{'Run ID': 55, 'Random Seed': 97, 'Precision': 0.8624, 'Recall': 0.849, 'Accuracy': 0.9539}
{'Run ID': 56, 'Random Seed': 98, 'Precision': 0.8703, 'Recall': 0.797, 'Accuracy': 0.9455}
{'Run ID': 57, 'Random Seed': 99, 'Precision': 0.8263, 'Recall': 0.8177, 'Accuracy': 0.943}


Korea -> Germany  (precision higher than in table)
Reported value, Table3:  {'Precision': 0.8661, 'Recall': 0.7177, 'Accuracy': 0.9323}

CLOSEST MATCH-->{'Run ID': 0, 'Target': 'Germany', 'Random Seed': 42, 'Precision': 0.918, 'Recall': 0.718, 'Accuracy': 0.934}
{'Run ID': 1, 'Target': 'Germany', 'Random Seed': 1, 'Precision': 0.9149, 'Recall': 0.6908, 'Accuracy': 0.9292}
{'Run ID': 2, 'Target': 'Germany', 'Random Seed': 2, 'Precision': 0.9167, 'Recall': 0.7068, 'Accuracy': 0.9322}
{'Run ID': 3, 'Target': 'Germany', 'Random Seed': 3, 'Precision': 0.911, 'Recall': 0.6988, 'Accuracy': 0.9299}
{'Run ID': 4, 'Target': 'Germany', 'Random Seed': 4, 'Precision': 0.9115, 'Recall': 0.7028, 'Accuracy': 0.9307}
{'Run ID': 5, 'Target': 'Germany', 'Random Seed': 5, 'Precision': 0.9175, 'Recall': 0.7149, 'Accuracy': 0.9337}
{'Run ID': 6, 'Target': 'Germany', 'Random Seed': 6, 'Precision': 0.9067, 'Recall': 0.7028, 'Accuracy': 0.9299}
{'Run ID': 7, 'Target': 'Germany', 'Random Seed': 7, 'Precision': 0.9133, 'Recall': 0.7189, 'Accuracy': 0.9337}
{'Run ID': 8, 'Target': 'Germany', 'Random Seed': 8, 'Precision': 0.9179, 'Recall': 0.7189, 'Accuracy': 0.9345}
{'Run ID': 9, 'Target': 'Germany', 'Random Seed': 9, 'Precision': 0.9144, 'Recall': 0.6867, 'Accuracy': 0.9284}
{'Run ID': 10, 'Target': 'Germany', 'Random Seed': 10, 'Precision': 0.9144, 'Recall': 0.6867, 'Accuracy': 0.9284}
{'Run ID': 11, 'Target': 'Germany', 'Random Seed': 11, 'Precision': 0.9096, 'Recall': 0.6867, 'Accuracy': 0.9276}
{'Run ID': 12, 'Target': 'Germany', 'Random Seed': 12, 'Precision': 0.9128, 'Recall': 0.7149, 'Accuracy': 0.933}
{'Run ID': 13, 'Target': 'Germany', 'Random Seed': 13, 'Precision': 0.9144, 'Recall': 0.6867, 'Accuracy': 0.9284}
{'Run ID': 14, 'Target': 'Germany', 'Random Seed': 14, 'Precision': 0.9167, 'Recall': 0.7068, 'Accuracy': 0.9322}
{'Run ID': 15, 'Target': 'Germany', 'Random Seed': 15, 'Precision': 0.9124, 'Recall': 0.7108, 'Accuracy': 0.9322}
{'Run ID': 16, 'Target': 'Germany', 'Random Seed': 16, 'Precision': 0.9115, 'Recall': 0.7028, 'Accuracy': 0.9307}
{'Run ID': 17, 'Target': 'Germany', 'Random Seed': 17, 'Precision': 0.9162, 'Recall': 0.7028, 'Accuracy': 0.9315}
{'Run ID': 18, 'Target': 'Germany', 'Random Seed': 18, 'Precision': 0.9171, 'Recall': 0.7108, 'Accuracy': 0.933}
{'Run ID': 19, 'Target': 'Germany', 'Random Seed': 19, 'Precision': 0.9158, 'Recall': 0.6988, 'Accuracy': 0.9307}
{'Run ID': 20, 'Target': 'Germany', 'Random Seed': 20, 'Precision': 0.9153, 'Recall': 0.6948, 'Accuracy': 0.9299}
{'Run ID': 21, 'Target': 'Germany', 'Random Seed': 21, 'Precision': 0.9179, 'Recall': 0.7189, 'Accuracy': 0.9345}
{'Run ID': 22, 'Target': 'Germany', 'Random Seed': 22, 'Precision': 0.911, 'Recall': 0.6988, 'Accuracy': 0.9299}
{'Run ID': 23, 'Target': 'Germany', 'Random Seed': 23, 'Precision': 0.9124, 'Recall': 0.7108, 'Accuracy': 0.9322}
{'Run ID': 24, 'Target': 'Germany', 'Random Seed': 24, 'Precision': 0.9133, 'Recall': 0.7189, 'Accuracy': 0.9337}
{'Run ID': 25, 'Target': 'Germany', 'Random Seed': 25, 'Precision': 0.9171, 'Recall': 0.7108, 'Accuracy': 0.933}
{'Run ID': 26, 'Target': 'Germany', 'Random Seed': 26, 'Precision': 0.9133, 'Recall': 0.7189, 'Accuracy': 0.9337}
{'Run ID': 27, 'Target': 'Germany', 'Random Seed': 27, 'Precision': 0.911, 'Recall': 0.6988, 'Accuracy': 0.9299}
{'Run ID': 28, 'Target': 'Germany', 'Random Seed': 28, 'Precision': 0.9175, 'Recall': 0.7149, 'Accuracy': 0.9337}
{'Run ID': 29, 'Target': 'Germany', 'Random Seed': 29, 'Precision': 0.9105, 'Recall': 0.6948, 'Accuracy': 0.9292}
{'Run ID': 30, 'Target': 'Germany', 'Random Seed': 30, 'Precision': 0.9158, 'Recall': 0.6988, 'Accuracy': 0.9307}
{'Run ID': 31, 'Target': 'Germany', 'Random Seed': 31, 'Precision': 0.9171, 'Recall': 0.7108, 'Accuracy': 0.933}
{'Run ID': 32, 'Target': 'Germany', 'Random Seed': 32, 'Precision': 0.9158, 'Recall': 0.6988, 'Accuracy': 0.9307}
{'Run ID': 33, 'Target': 'Germany', 'Random Seed': 33, 'Precision': 0.9026, 'Recall': 0.7068, 'Accuracy': 0.9299}
{'Run ID': 34, 'Target': 'Germany', 'Random Seed': 34, 'Precision': 0.9119, 'Recall': 0.7068, 'Accuracy': 0.9315}
{'Run ID': 35, 'Target': 'Germany', 'Random Seed': 35, 'Precision': 0.9101, 'Recall': 0.6908, 'Accuracy': 0.9284}
{'Run ID': 36, 'Target': 'Germany', 'Random Seed': 36, 'Precision': 0.9171, 'Recall': 0.7108, 'Accuracy': 0.933}
{'Run ID': 37, 'Target': 'Germany', 'Random Seed': 37, 'Precision': 0.9158, 'Recall': 0.6988, 'Accuracy': 0.9307}
{'Run ID': 38, 'Target': 'Germany', 'Random Seed': 38, 'Precision': 0.9105, 'Recall': 0.6948, 'Accuracy': 0.9292}
{'Run ID': 39, 'Target': 'Germany', 'Random Seed': 39, 'Precision': 0.9124, 'Recall': 0.7108, 'Accuracy': 0.9322}
{'Run ID': 40, 'Target': 'Germany', 'Random Seed': 40, 'Precision': 0.9091, 'Recall': 0.6827, 'Accuracy': 0.9269}
{'Run ID': 41, 'Target': 'Germany', 'Random Seed': 41, 'Precision': 0.9144, 'Recall': 0.6867, 'Accuracy': 0.9284}


Korea  ->  Poland  (precision and recall are much lower)
Reported value, Table3:  {'Precision': 0.7676, 'Recall': 0.8219, 'Accuracy': 0.9343}

{'Run ID': 0, 'Target': 'Poland', 'Random Seed': 42, 'Precision': 0.639, 'Recall': 0.732, 'Accuracy': 0.951}
{'Run ID': 1, 'Target': 'Poland', 'Random Seed': 1, 'Precision': 0.6389, 'Recall': 0.7113, 'Accuracy': 0.9507}
{'Run ID': 2, 'Target': 'Poland', 'Random Seed': 2, 'Precision': 0.6239, 'Recall': 0.701, 'Accuracy': 0.9485}
{'Run ID': 3, 'Target': 'Poland', 'Random Seed': 3, 'Precision': 0.614, 'Recall': 0.7216, 'Accuracy': 0.9478}
{'Run ID': 4, 'Target': 'Poland', 'Random Seed': 4, 'Precision': 0.6339, 'Recall': 0.732, 'Accuracy': 0.9507}
{'Run ID': 5, 'Target': 'Poland', 'Random Seed': 5, 'Precision': 0.6455, 'Recall': 0.732, 'Accuracy': 0.9522}
{'Run ID': 6, 'Target': 'Poland', 'Random Seed': 6, 'Precision': 0.6486, 'Recall': 0.7423, 'Accuracy': 0.9529}
{'Run ID': 7, 'Target': 'Poland', 'Random Seed': 7, 'Precision': 0.6396, 'Recall': 0.732, 'Accuracy': 0.9514}
{'Run ID': 8, 'Target': 'Poland', 'Random Seed': 8, 'Precision': 0.6283, 'Recall': 0.732, 'Accuracy': 0.95}
{'Run ID': 9, 'Target': 'Poland', 'Random Seed': 9, 'Precision': 0.6481, 'Recall': 0.7216, 'Accuracy': 0.9522}
{'Run ID': 10, 'Target': 'Poland', 'Random Seed': 10, 'Precision': 0.6239, 'Recall': 0.701, 'Accuracy': 0.9485}
{'Run ID': 11, 'Target': 'Poland', 'Random Seed': 11, 'Precision': 0.6296, 'Recall': 0.701, 'Accuracy': 0.9492}
{'Run ID': 12, 'Target': 'Poland', 'Random Seed': 12, 'Precision': 0.6306, 'Recall': 0.7216, 'Accuracy': 0.95}
{'Run ID': 13, 'Target': 'Poland', 'Random Seed': 13, 'Precision': 0.6306, 'Recall': 0.7216, 'Accuracy': 0.95}
{'Run ID': 14, 'Target': 'Poland', 'Random Seed': 14, 'Precision': 0.6422, 'Recall': 0.7216, 'Accuracy': 0.9514}
{'Run ID': 15, 'Target': 'Poland', 'Random Seed': 15, 'Precision': 0.6296, 'Recall': 0.701, 'Accuracy': 0.9492}
{'Run ID': 16, 'Target': 'Poland', 'Random Seed': 16, 'Precision': 0.6364, 'Recall': 0.7216, 'Accuracy': 0.9507}
{'Run ID': 17, 'Target': 'Poland', 'Random Seed': 17, 'Precision': 0.6339, 'Recall': 0.732, 'Accuracy': 0.9507}
{'Run ID': 18, 'Target': 'Poland', 'Random Seed': 18, 'Precision': 0.6381, 'Recall': 0.6907, 'Accuracy': 0.95}
{'Run ID': 19, 'Target': 'Poland', 'Random Seed': 19, 'Precision': 0.6364, 'Recall': 0.7216, 'Accuracy': 0.9507}
{'Run ID': 20, 'Target': 'Poland', 'Random Seed': 20, 'Precision': 0.6283, 'Recall': 0.732, 'Accuracy': 0.95}
{'Run ID': 21, 'Target': 'Poland', 'Random Seed': 21, 'Precision': 0.6455, 'Recall': 0.732, 'Accuracy': 0.9522}
{'Run ID': 22, 'Target': 'Poland', 'Random Seed': 22, 'Precision': 0.6339, 'Recall': 0.732, 'Accuracy': 0.9507}
{'Run ID': 23, 'Target': 'Poland', 'Random Seed': 23, 'Precision': 0.6486, 'Recall': 0.7423, 'Accuracy': 0.9529}
{'Run ID': 24, 'Target': 'Poland', 'Random Seed': 24, 'Precision': 0.6389, 'Recall': 0.7113, 'Accuracy': 0.9507}
{'Run ID': 25, 'Target': 'Poland', 'Random Seed': 25, 'Precision': 0.646, 'Recall': 0.7526, 'Accuracy': 0.9529}
CLOSEST MATCH-->{'Run ID': 26, 'Target': 'Poland', 'Random Seed': 26, 'Precision': 0.6518, 'Recall': 0.7526, 'Accuracy': 0.9536}
{'Run ID': 27, 'Target': 'Poland', 'Random Seed': 27, 'Precision': 0.6339, 'Recall': 0.732, 'Accuracy': 0.9507}
{'Run ID': 28, 'Target': 'Poland', 'Random Seed': 28, 'Precision': 0.6364, 'Recall': 0.7216, 'Accuracy': 0.9507}
{'Run ID': 29, 'Target': 'Poland', 'Random Seed': 29, 'Precision': 0.625, 'Recall': 0.7216, 'Accuracy': 0.9492}
{'Run ID': 30, 'Target': 'Poland', 'Random Seed': 30, 'Precision': 0.6486, 'Recall': 0.7423, 'Accuracy': 0.9529}
{'Run ID': 31, 'Target': 'Poland', 'Random Seed': 31, 'Precision': 0.6306, 'Recall': 0.7216, 'Accuracy': 0.95}
{'Run ID': 32, 'Target': 'Poland', 'Random Seed': 32, 'Precision': 0.6283, 'Recall': 0.732, 'Accuracy': 0.95}
{'Run ID': 33, 'Target': 'Poland', 'Random Seed': 33, 'Precision': 0.6239, 'Recall': 0.701, 'Accuracy': 0.9485}
{'Run ID': 34, 'Target': 'Poland', 'Random Seed': 34, 'Precision': 0.6283, 'Recall': 0.732, 'Accuracy': 0.95}
{'Run ID': 35, 'Target': 'Poland', 'Random Seed': 35, 'Precision': 0.6396, 'Recall': 0.732, 'Accuracy': 0.9514}
{'Run ID': 36, 'Target': 'Poland', 'Random Seed': 36, 'Precision': 0.6296, 'Recall': 0.701, 'Accuracy': 0.9492}
{'Run ID': 37, 'Target': 'Poland', 'Random Seed': 37, 'Precision': 0.6396, 'Recall': 0.732, 'Accuracy': 0.9514}
{'Run ID': 38, 'Target': 'Poland', 'Random Seed': 38, 'Precision': 0.6364, 'Recall': 0.7216, 'Accuracy': 0.9507}
{'Run ID': 39, 'Target': 'Poland', 'Random Seed': 39, 'Precision': 0.6283, 'Recall': 0.732, 'Accuracy': 0.95}
{'Run ID': 40, 'Target': 'Poland', 'Random Seed': 40, 'Precision': 0.6422, 'Recall': 0.7216, 'Accuracy': 0.9514}
{'Run ID': 41, 'Target': 'Poland', 'Random Seed': 41, 'Precision': 0.6396, 'Recall': 0.732, 'Accuracy': 0.9514}

{'Run ID': 43, 'Target': 'Poland', 'Random Seed': 43, 'Precision': 0.6372, 'Recall': 0.7423, 'Accuracy': 0.9514}
{'Run ID': 44, 'Target': 'Poland', 'Random Seed': 44, 'Precision': 0.6306, 'Recall': 0.7216, 'Accuracy': 0.95}
{'Run ID': 45, 'Target': 'Poland', 'Random Seed': 45, 'Precision': 0.6396, 'Recall': 0.732, 'Accuracy': 0.9514}
{'Run ID': 46, 'Target': 'Poland', 'Random Seed': 46, 'Precision': 0.6306, 'Recall': 0.7216, 'Accuracy': 0.95}
{'Run ID': 47, 'Target': 'Poland', 'Random Seed': 47, 'Precision': 0.6339, 'Recall': 0.732, 'Accuracy': 0.9507}
{'Run ID': 48, 'Target': 'Poland', 'Random Seed': 48, 'Precision': 0.6283, 'Recall': 0.732, 'Accuracy': 0.95}
{'Run ID': 49, 'Target': 'Poland', 'Random Seed': 49, 'Precision': 0.625, 'Recall': 0.7216, 'Accuracy': 0.9492}
{'Run ID': 50, 'Target': 'Poland', 'Random Seed': 50, 'Precision': 0.6339, 'Recall': 0.732, 'Accuracy': 0.9507}
{'Run ID': 51, 'Target': 'Poland', 'Random Seed': 51, 'Precision': 0.6182, 'Recall': 0.701, 'Accuracy': 0.9478}
{'Run ID': 52, 'Target': 'Poland', 'Random Seed': 52, 'Precision': 0.6339, 'Recall': 0.732, 'Accuracy': 0.9507}
{'Run ID': 53, 'Target': 'Poland', 'Random Seed': 53, 'Precision': 0.6396, 'Recall': 0.732, 'Accuracy': 0.9514}
{'Run ID': 54, 'Target': 'Poland', 'Random Seed': 54, 'Precision': 0.6389, 'Recall': 0.7113, 'Accuracy': 0.9507}
{'Run ID': 55, 'Target': 'Poland', 'Random Seed': 55, 'Precision': 0.6429, 'Recall': 0.7423, 'Accuracy': 0.9522}
{'Run ID': 56, 'Target': 'Poland', 'Random Seed': 56, 'Precision': 0.6262, 'Recall': 0.6907, 'Accuracy': 0.9485}
{'Run ID': 57, 'Target': 'Poland', 'Random Seed': 57, 'Precision': 0.6306, 'Recall': 0.7216, 'Accuracy': 0.95}
{'Run ID': 58, 'Target': 'Poland', 'Random Seed': 58, 'Precision': 0.6404, 'Recall': 0.7526, 'Accuracy': 0.9522}
{'Run ID': 59, 'Target': 'Poland', 'Random Seed': 59, 'Precision': 0.6372, 'Recall': 0.7423, 'Accuracy': 0.9514}
{'Run ID': 60, 'Target': 'Poland', 'Random Seed': 60, 'Precision': 0.6283, 'Recall': 0.732, 'Accuracy': 0.95}
{'Run ID': 61, 'Target': 'Poland', 'Random Seed': 61, 'Precision': 0.6239, 'Recall': 0.7526, 'Accuracy': 0.95}
{'Run ID': 62, 'Target': 'Poland', 'Random Seed': 62, 'Precision': 0.6364, 'Recall': 0.7216, 'Accuracy': 0.9507}
{'Run ID': 63, 'Target': 'Poland', 'Random Seed': 63, 'Precision': 0.6339, 'Recall': 0.732, 'Accuracy': 0.9507}
{'Run ID': 64, 'Target': 'Poland', 'Random Seed': 64, 'Precision': 0.6293, 'Recall': 0.7526, 'Accuracy': 0.9507}
{'Run ID': 65, 'Target': 'Poland', 'Random Seed': 65, 'Precision': 0.6296, 'Recall': 0.701, 'Accuracy': 0.9492}
{'Run ID': 66, 'Target': 'Poland', 'Random Seed': 66, 'Precision': 0.6455, 'Recall': 0.732, 'Accuracy': 0.9522}
{'Run ID': 67, 'Target': 'Poland', 'Random Seed': 67, 'Precision': 0.6261, 'Recall': 0.7423, 'Accuracy': 0.95}
{'Run ID': 68, 'Target': 'Poland', 'Random Seed': 68, 'Precision': 0.6404, 'Recall': 0.7526, 'Accuracy': 0.9522}
{'Run ID': 69, 'Target': 'Poland', 'Random Seed': 69, 'Precision': 0.6372, 'Recall': 0.7423, 'Accuracy': 0.9514}
{'Run ID': 70, 'Target': 'Poland', 'Random Seed': 70, 'Precision': 0.6283, 'Recall': 0.732, 'Accuracy': 0.95}
{'Run ID': 71, 'Target': 'Poland', 'Random Seed': 71, 'Precision': 0.6239, 'Recall': 0.701, 'Accuracy': 0.9485}
{'Run ID': 72, 'Target': 'Poland', 'Random Seed': 72, 'Precision': 0.6339, 'Recall': 0.732, 'Accuracy': 0.9507}
{'Run ID': 73, 'Target': 'Poland', 'Random Seed': 73, 'Precision': 0.6216, 'Recall': 0.7113, 'Accuracy': 0.9485}
{'Run ID': 74, 'Target': 'Poland', 'Random Seed': 74, 'Precision': 0.6161, 'Recall': 0.7113, 'Accuracy': 0.9478}
{'Run ID': 75, 'Target': 'Poland', 'Random Seed': 75, 'Precision': 0.6306, 'Recall': 0.7216, 'Accuracy': 0.95}
{'Run ID': 76, 'Target': 'Poland', 'Random Seed': 76, 'Precision': 0.6348, 'Recall': 0.7526, 'Accuracy': 0.9514}
{'Run ID': 77, 'Target': 'Poland', 'Random Seed': 77, 'Precision': 0.6429, 'Recall': 0.7423, 'Accuracy': 0.9522}
{'Run ID': 78, 'Target': 'Poland', 'Random Seed': 78, 'Precision': 0.6161, 'Recall': 0.7113, 'Accuracy': 0.9478}
{'Run ID': 79, 'Target': 'Poland', 'Random Seed': 79, 'Precision': 0.6396, 'Recall': 0.732, 'Accuracy': 0.9514}
{'Run ID': 80, 'Target': 'Poland', 'Random Seed': 80, 'Precision': 0.6174, 'Recall': 0.732, 'Accuracy': 0.9485}
{'Run ID': 81, 'Target': 'Poland', 'Random Seed': 81, 'Precision': 0.6348, 'Recall': 0.7526, 'Accuracy': 0.9514}
{'Run ID': 82, 'Target': 'Poland', 'Random Seed': 82, 'Precision': 0.633, 'Recall': 0.7113, 'Accuracy': 0.95}
{'Run ID': 83, 'Target': 'Poland', 'Random Seed': 83, 'Precision': 0.6486, 'Recall': 0.7423, 'Accuracy': 0.9529}
{'Run ID': 84, 'Target': 'Poland', 'Random Seed': 84, 'Precision': 0.6216, 'Recall': 0.7113, 'Accuracy': 0.9485}
{'Run ID': 85, 'Target': 'Poland', 'Random Seed': 85, 'Precision': 0.6606, 'Recall': 0.7423, 'Accuracy': 0.9544}
{'Run ID': 86, 'Target': 'Poland', 'Random Seed': 86, 'Precision': 0.6404, 'Recall': 0.7526, 'Accuracy': 0.9522}
{'Run ID': 87, 'Target': 'Poland', 'Random Seed': 87, 'Precision': 0.6481, 'Recall': 0.7216, 'Accuracy': 0.9522}
{'Run ID': 88, 'Target': 'Poland', 'Random Seed': 88, 'Precision': 0.6422, 'Recall': 0.7216, 'Accuracy': 0.9514}
{'Run ID': 89, 'Target': 'Poland', 'Random Seed': 89, 'Precision': 0.6283, 'Recall': 0.732, 'Accuracy': 0.95}
{'Run ID': 90, 'Target': 'Poland', 'Random Seed': 90, 'Precision': 0.6273, 'Recall': 0.7113, 'Accuracy': 0.9492}
{'Run ID': 91, 'Target': 'Poland', 'Random Seed': 91, 'Precision': 0.6273, 'Recall': 0.7113, 'Accuracy': 0.9492}
{'Run ID': 92, 'Target': 'Poland', 'Random Seed': 92, 'Precision': 0.6486, 'Recall': 0.7423, 'Accuracy': 0.9529}
{'Run ID': 93, 'Target': 'Poland', 'Random Seed': 93, 'Precision': 0.6449, 'Recall': 0.7113, 'Accuracy': 0.9514}
{'Run ID': 94, 'Target': 'Poland', 'Random Seed': 94, 'Precision': 0.6239, 'Recall': 0.701, 'Accuracy': 0.9485}
{'Run ID': 95, 'Target': 'Poland', 'Random Seed': 95, 'Precision': 0.6364, 'Recall': 0.7216, 'Accuracy': 0.9507}
{'Run ID': 96, 'Target': 'Poland', 'Random Seed': 96, 'Precision': 0.625, 'Recall': 0.7216, 'Accuracy': 0.9492}
{'Run ID': 97, 'Target': 'Poland', 'Random Seed': 97, 'Precision': 0.6216, 'Recall': 0.7113, 'Accuracy': 0.9485}
{'Run ID': 98, 'Target': 'Poland', 'Random Seed': 98, 'Precision': 0.614, 'Recall': 0.7216, 'Accuracy': 0.9478}