OpenML
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8399, kappa: 0.6787, kb_relative_information_score: 2813.6129, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4987, number_of_instances: 5000, precision: 0.8407, predictive_accuracy: 0.8402, prior_entropy: 0.9981, recall: 0.8402, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7271, scimark_benchmark: 1317.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8186, kappa: 0.6287, kb_relative_information_score: 1408.8748, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8187, predictive_accuracy: 0.8192, prior_entropy: 0.9852, recall: 0.8192, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7488, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9567, kappa: 0.9037, kb_relative_information_score: 1380.8395, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4492, number_of_instances: 1590, precision: 0.9569, predictive_accuracy: 0.9566, prior_entropy: 0.9264, recall: 0.9566, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4289, scimark_benchmark: 1382.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 20.7978, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7671, kappa: 0.5344, kb_relative_information_score: 1050.3231, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7677, predictive_accuracy: 0.7672, prior_entropy: 1, recall: 0.7672, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8326, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9431, kappa: 0.7415, kb_relative_information_score: 2656.4598, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.225, number_of_instances: 4750, precision: 0.9425, predictive_accuracy: 0.944, prior_entropy: 0.5574, recall: 0.944, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6422, scimark_benchmark: 1317.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8073, kappa: 0.6082, kb_relative_information_score: 343.8587, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4922, number_of_instances: 550, precision: 0.8073, predictive_accuracy: 0.8073, prior_entropy: 0.9891, recall: 0.8073, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7183, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7343, kappa: 0.4673, kb_relative_information_score: 380.2686, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7401, predictive_accuracy: 0.737, prior_entropy: 0.9975, recall: 0.737, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9165, scimark_benchmark: 1344.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8518, kappa: 0.6902, kb_relative_information_score: 3087.4094, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4816, number_of_instances: 5000, precision: 0.8541, predictive_accuracy: 0.8536, prior_entropy: 0.9735, recall: 0.8536, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6883, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4091, f_measure: 0.482, kappa: -0.0442, kb_relative_information_score: -7.4062, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4829, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0717, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.798, kappa: 0.5898, kb_relative_information_score: 1319.9293, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7985, predictive_accuracy: 0.7988, prior_entropy: 0.9911, recall: 0.7988, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.761, scimark_benchmark: 1382.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8537, kappa: 0.7048, kb_relative_information_score: 6113.6836, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8566, predictive_accuracy: 0.8532, prior_entropy: 0.9896, recall: 0.8532, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6853, scimark_benchmark: 1317.071, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8886, kappa: 0.7686, kb_relative_information_score: 1645.9564, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4784, number_of_instances: 2350, precision: 0.8904, predictive_accuracy: 0.8881, prior_entropy: 0.9689, recall: 0.8881, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6285, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9413, kappa: 0.882, kb_relative_information_score: 57786.0765, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9417, predictive_accuracy: 0.9413, prior_entropy: 0.9973, recall: 0.9413, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4638, scimark_benchmark: 1344.7524, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.7047, kappa: 0.3888, kb_relative_information_score: 1557.8404, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4856, number_of_instances: 5760, precision: 0.7044, predictive_accuracy: 0.7071, prior_entropy: 0.9792, recall: 0.7071, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9421, scimark_benchmark: 1362.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8349, kappa: 0.6645, kb_relative_information_score: 2951.8299, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8357, predictive_accuracy: 0.8346, prior_entropy: 0.9867, recall: 0.8346, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7132, scimark_benchmark: 1344.7524, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8026, kappa: 0.5999, kb_relative_information_score: 1289.0737, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8025, predictive_accuracy: 0.8028, prior_entropy: 0.9911, recall: 0.8028, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7885, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8565, kappa: 0.7101, kb_relative_information_score: 6310.494, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8566, predictive_accuracy: 0.8567, prior_entropy: 0.9936, recall: 0.8567, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6674, scimark_benchmark: 1349.9643, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.7217, kappa: 0.1135, kb_relative_information_score: 77.0992, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.3453, number_of_instances: 1590, precision: 0.7358, predictive_accuracy: 0.7824, prior_entropy: 0.7667, recall: 0.7824, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.9903, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8142, kappa: 0.6284, kb_relative_information_score: 5325.8771, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8144, predictive_accuracy: 0.8142, prior_entropy: 1, recall: 0.8142, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344, scimark_benchmark: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.8448, kappa: 0.4896, kb_relative_information_score: 327.4605, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8423, predictive_accuracy: 0.8485, prior_entropy: 0.7158, recall: 0.8485, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.35, root_relative_squared_error: 0.8881, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7246, kappa: 0.4447, kb_relative_information_score: 387.8732, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.726, prior_entropy: 0.9956, recall: 0.726, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9544, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9797, kappa: 0.9586, kb_relative_information_score: 194712.9176, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.4907, number_of_instances: 206400, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 0.9866, recall: 0.9797, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.2541, scimark_benchmark: 1317.071, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.984, kappa: 0.9673, kb_relative_information_score: 482.7393, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4877, number_of_instances: 500, precision: 0.9846, predictive_accuracy: 0.984, prior_entropy: 0.9829, recall: 0.984, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2563, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6684, kappa: 0.3362, kb_relative_information_score: 180.9341, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4995, number_of_instances: 600, precision: 0.6685, predictive_accuracy: 0.6683, prior_entropy: 0.9992, recall: 0.6683, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0179, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.2026, kappa: 0.0402, kb_relative_information_score: 893.5248, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2774, number_of_instances: 7970, precision: 0.2058, predictive_accuracy: 0.202, prior_entropy: 2.5803, recall: 0.202, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.0744, scimark_benchmark: 1362.1309, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: 0.4759, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6837, kappa: 0.3558, kb_relative_information_score: 115.5671, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.702, predictive_accuracy: 0.6795, prior_entropy: 0.9656, recall: 0.6795, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9303, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7889, kappa: 0.5758, kb_relative_information_score: 2119.9516, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4939, number_of_instances: 4680, precision: 0.7932, predictive_accuracy: 0.7882, prior_entropy: 0.9912, recall: 0.7882, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7741, scimark_benchmark: 1362.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9034, kappa: 0.768, kb_relative_information_score: 55664.5691, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4219, number_of_instances: 81920, precision: 0.9039, predictive_accuracy: 0.9049, prior_entropy: 0.8842, recall: 0.9049, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.6054, scimark_benchmark: 940.3347, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8932, kappa: 0.4647, kb_relative_information_score: 1121.9183, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8908, predictive_accuracy: 0.9022, prior_entropy: 0.5405, recall: 0.9022, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.783, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.831, kappa: 0.6586, kb_relative_information_score: 1451.2837, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.831, predictive_accuracy: 0.8312, prior_entropy: 0.9934, recall: 0.8312, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.741, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7523, kappa: 0.5049, kb_relative_information_score: 997.3594, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7529, predictive_accuracy: 0.7524, prior_entropy: 1, recall: 0.7524, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8596, scimark_benchmark: 1344.7524, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7997, kappa: 0.5908, kb_relative_information_score: 446.3105, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4904, number_of_instances: 1000, precision: 0.7995, predictive_accuracy: 0.8, prior_entropy: 0.9864, recall: 0.8, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8351, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8721, kappa: 0.7466, kb_relative_information_score: 772.3277, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4988, number_of_instances: 1200, precision: 0.8857, predictive_accuracy: 0.8725, prior_entropy: 0.9983, recall: 0.8725, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6572, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.2678, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 21780, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1382.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.5983, kappa: 0.2059, kb_relative_information_score: 70.6746, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6882, predictive_accuracy: 0.6549, prior_entropy: 0.9791, recall: 0.6549, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9824, scimark_benchmark: 1317.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8349, kappa: 0.668, kb_relative_information_score: 2842.0945, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8353, predictive_accuracy: 0.8352, prior_entropy: 0.9967, recall: 0.8352, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7274, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.5888, kappa: 0.1681, kb_relative_information_score: 158.5002, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.4955, number_of_instances: 3030, precision: 0.5889, predictive_accuracy: 0.5921, prior_entropy: 0.9935, recall: 0.5921, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.0304, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7344, kappa: 0.4531, kb_relative_information_score: 259.6534, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4872, number_of_instances: 740, precision: 0.755, predictive_accuracy: 0.7459, prior_entropy: 0.9819, recall: 0.7459, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9017, scimark_benchmark: 1325.6322,
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