Task
Supervised Classification on waveform-5000

Supervised Classification on waveform-5000

Task 1822 Supervised Classification waveform-5000 323 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, build_cpu_time: 3.6003, build_memory: 413475392.8, f_measure: 0.8246, kappa: 0.7375, kb_relative_information_score: 16654.3642, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.825, predictive_accuracy: 0.825, prior_entropy: 1.5849, recall: 0.825, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.61, scimark_benchmark: 898.5149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8246, kappa: 0.7375, kb_relative_information_score: 16654.3642, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.825, predictive_accuracy: 0.825, prior_entropy: 1.5849, recall: 0.825, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, build_cpu_time: 8.2493, build_memory: 1298442623.2, f_measure: 0.8324, kappa: 0.7492, kb_relative_information_score: 16705.6479, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.833, predictive_accuracy: 0.8328, prior_entropy: 1.5849, recall: 0.8328, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.601, scimark_benchmark: 940.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, build_cpu_time: 14.0235, build_memory: 93886933.6, f_measure: 0.8333, kappa: 0.7506, kb_relative_information_score: 16718.05, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8339, predictive_accuracy: 0.8337, prior_entropy: 1.5849, recall: 0.8337, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5972, scimark_benchmark: 930.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, build_cpu_time: 15.7877, build_memory: 934091308.8, f_measure: 0.8333, kappa: 0.7506, kb_relative_information_score: 16718.05, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8339, predictive_accuracy: 0.8337, prior_entropy: 1.5849, recall: 0.8337, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5972, scimark_benchmark: 946.5948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, build_cpu_time: 28.3433, build_memory: 900482976.8, f_measure: 0.835, kappa: 0.7532, kb_relative_information_score: 16725.178, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8357, predictive_accuracy: 0.8354, prior_entropy: 1.5849, recall: 0.8354, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.5952, scimark_benchmark: 943.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, build_cpu_time: 29.8111, build_memory: 319034280.8, f_measure: 0.835, kappa: 0.7532, kb_relative_information_score: 16725.178, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8357, predictive_accuracy: 0.8354, prior_entropy: 1.5849, recall: 0.8354, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.5952, scimark_benchmark: 933.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, build_cpu_time: 304.7296, build_memory: 1415930524, f_measure: 0.8516, kappa: 0.7781, kb_relative_information_score: 17082.2821, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8525, predictive_accuracy: 0.852, prior_entropy: 1.5849, recall: 0.852, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5693, scimark_benchmark: 946.0722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_cpu_time: 137.9385, build_memory: 61999762.4, f_measure: 0.8503, kappa: 0.7761, kb_relative_information_score: 17084.5216, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8511, predictive_accuracy: 0.8507, prior_entropy: 1.5849, recall: 0.8507, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.5709, scimark_benchmark: 937.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, build_cpu_time: 1178.4253, build_memory: 1224200493.6, f_measure: 0.8527, kappa: 0.7793, kb_relative_information_score: 18327.623, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8528, predictive_accuracy: 0.8528, prior_entropy: 1.5849, recall: 0.8528, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5582, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, build_cpu_time: 527.4796, build_memory: 1750534413.6, f_measure: 0.853, kappa: 0.7798, kb_relative_information_score: 18328.9745, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8531, predictive_accuracy: 0.8532, prior_entropy: 1.5849, recall: 0.8532, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5594, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_cpu_time: 278.9187, build_memory: 958457932.8, f_measure: 0.8502, kappa: 0.7754, kb_relative_information_score: 18320.5741, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8502, predictive_accuracy: 0.8503, prior_entropy: 1.5849, recall: 0.8503, relative_absolute_error: 0.3223, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5622, scimark_benchmark: 942.0425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, build_cpu_time: 342.8415, build_memory: 193165563.2, f_measure: 0.847, kappa: 0.7706, kb_relative_information_score: 18304.3191, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.847, predictive_accuracy: 0.8471, prior_entropy: 1.5849, recall: 0.8471, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5666, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, build_cpu_time: 69.0489, build_memory: 80381097.6, f_measure: 0.8426, kappa: 0.7641, kb_relative_information_score: 18243.5515, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8426, predictive_accuracy: 0.8427, prior_entropy: 1.5849, recall: 0.8427, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.5775, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, build_cpu_time: 0.006, build_memory: 2778894031.2, f_measure: 0.5994, kappa: 0.45, kb_relative_information_score: 7779.6054, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6505, predictive_accuracy: 0.6325, prior_entropy: 1.5849, recall: 0.6325, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8522, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, build_cpu_time: 0.0128, build_memory: 1377431276, f_measure: 0.6129, kappa: 0.4577, kb_relative_information_score: 7771.6532, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6485, predictive_accuracy: 0.6378, prior_entropy: 1.5849, recall: 0.6378, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8509, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, build_cpu_time: 0.0234, build_memory: 2235570709.6, f_measure: 0.6084, kappa: 0.4515, kb_relative_information_score: 7779.764, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6411, predictive_accuracy: 0.6336, prior_entropy: 1.5849, recall: 0.6336, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8503, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, build_cpu_time: 0.0401, build_memory: 1594595774.4, f_measure: 0.6122, kappa: 0.4572, kb_relative_information_score: 7775.4445, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6459, predictive_accuracy: 0.6374, prior_entropy: 1.5849, recall: 0.6374, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8496, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, build_cpu_time: 0.1003, build_memory: 748766015.2, f_measure: 0.6165, kappa: 0.4635, kb_relative_information_score: 7778.4268, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6515, predictive_accuracy: 0.6416, prior_entropy: 1.5849, recall: 0.6416, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8489, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, build_cpu_time: 5496.0594, build_memory: 510344375.2, f_measure: 0.8579, kappa: 0.7871, kb_relative_information_score: 19574.0121, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 1.5849, recall: 0.858, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5489, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, build_cpu_time: 2251.0351, build_memory: 321964479.2, f_measure: 0.8584, kappa: 0.7877, kb_relative_information_score: 19573.5691, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8584, predictive_accuracy: 0.8585, prior_entropy: 1.5849, recall: 0.8585, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5493, scimark_benchmark: 902.1678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, build_cpu_time: 4.1237, build_memory: 507600313.6, f_measure: 0.7876, kappa: 0.7, kb_relative_information_score: 18127.7081, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8344, predictive_accuracy: 0.7997, prior_entropy: 1.5849, recall: 0.7997, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7115, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, build_cpu_time: 3.3434, build_memory: 252023992, f_measure: 0.8348, kappa: 0.7528, kb_relative_information_score: 16735.9142, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8353, predictive_accuracy: 0.8352, prior_entropy: 1.5849, recall: 0.8352, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.6012, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, build_cpu_time: 0.872, build_memory: 752450075.2, f_measure: 0.5511, kappa: 0.3598, kb_relative_information_score: 8543.5099, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5489, predictive_accuracy: 0.5726, prior_entropy: 1.5849, recall: 0.5726, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.897, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.4767, build_memory: 245839359.2, f_measure: 0.5449, kappa: 0.3441, kb_relative_information_score: 8486.1745, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5408, predictive_accuracy: 0.5622, prior_entropy: 1.5849, recall: 0.5622, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9119, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.45, build_memory: 240097466.4, f_measure: 0.5449, kappa: 0.3441, kb_relative_information_score: 8486.1745, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5408, predictive_accuracy: 0.5622, prior_entropy: 1.5849, recall: 0.5622, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9119, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.5327, build_memory: 604457883.2, f_measure: 0.5449, kappa: 0.3441, kb_relative_information_score: 8486.1745, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5408, predictive_accuracy: 0.5622, prior_entropy: 1.5849, recall: 0.5622, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9119, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.4923, build_memory: 441714331.2, f_measure: 0.5449, kappa: 0.3441, kb_relative_information_score: 8486.1745, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5408, predictive_accuracy: 0.5622, prior_entropy: 1.5849, recall: 0.5622, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9119, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.7033, build_memory: 839595918.4, f_measure: 0.5449, kappa: 0.3441, kb_relative_information_score: 8486.1745, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5408, predictive_accuracy: 0.5622, prior_entropy: 1.5849, recall: 0.5622, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9119, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, build_cpu_time: 0.2206, build_memory: 390507890.4, f_measure: 0.535, kappa: 0.3217, kb_relative_information_score: 8502.8168, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.53, predictive_accuracy: 0.5474, prior_entropy: 1.5849, recall: 0.5474, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9322, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, build_cpu_time: 14.4579, build_memory: 2125161665.6, f_measure: 0.8539, kappa: 0.782, kb_relative_information_score: 15896.1932, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8564, predictive_accuracy: 0.8546, prior_entropy: 1.5849, recall: 0.8546, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5989, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, build_cpu_time: 31.0388, build_memory: 558385903.2, f_measure: 0.8542, kappa: 0.7825, kb_relative_information_score: 15904.9573, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8568, predictive_accuracy: 0.8549, prior_entropy: 1.5849, recall: 0.8549, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.282, root_relative_squared_error: 0.5982, scimark_benchmark: 899.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, build_cpu_time: 118.3673, build_memory: 1594900330.4, f_measure: 0.8548, kappa: 0.7834, kb_relative_information_score: 15907.3862, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8574, predictive_accuracy: 0.8556, prior_entropy: 1.5849, recall: 0.8556, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5978, scimark_benchmark: 904.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, build_cpu_time: 247.2825, build_memory: 2625441018.4, f_measure: 0.8551, kappa: 0.7838, kb_relative_information_score: 15909.4371, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8576, predictive_accuracy: 0.8558, prior_entropy: 1.5849, recall: 0.8558, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.5977, scimark_benchmark: 910.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, build_cpu_time: 3.6118, build_memory: 347338068, f_measure: 0.8515, kappa: 0.7782, kb_relative_information_score: 16131.0702, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8531, predictive_accuracy: 0.8521, prior_entropy: 1.5849, recall: 0.8521, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5947, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, build_cpu_time: 3.7421, build_memory: 1195906529.6, f_measure: 0.8515, kappa: 0.7782, kb_relative_information_score: 16131.0702, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8531, predictive_accuracy: 0.8521, prior_entropy: 1.5849, recall: 0.8521, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5947, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, build_cpu_time: 4.2564, build_memory: 256857910.4, f_measure: 0.8515, kappa: 0.7782, kb_relative_information_score: 16131.0702, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8531, predictive_accuracy: 0.8521, prior_entropy: 1.5849, recall: 0.8521, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5947, scimark_benchmark: 945.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, build_cpu_time: 1.9302, build_memory: 1075438655.2, f_measure: 0.8473, kappa: 0.7718, kb_relative_information_score: 16089.6505, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8485, predictive_accuracy: 0.8478, prior_entropy: 1.5849, recall: 0.8478, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.282, root_relative_squared_error: 0.5983, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, build_cpu_time: 0.9613, build_memory: 124405813.6, f_measure: 0.8422, kappa: 0.764, kb_relative_information_score: 16048.1865, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8429, predictive_accuracy: 0.8426, prior_entropy: 1.5849, recall: 0.8426, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.6037, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, build_cpu_time: 1.366, build_memory: 792054488.8, f_measure: 0.8239, kappa: 0.7366, kb_relative_information_score: 16265.3686, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8245, predictive_accuracy: 0.8244, prior_entropy: 1.5849, recall: 0.8244, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.289, root_relative_squared_error: 0.6132, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, build_cpu_time: 4.8857, build_memory: 755265719.2, f_measure: 0.8303, kappa: 0.7463, kb_relative_information_score: 16314.0272, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8311, predictive_accuracy: 0.8308, prior_entropy: 1.5849, recall: 0.8308, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.6048, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, build_cpu_time: 9.9017, build_memory: 551806095.2, f_measure: 0.8324, kappa: 0.7493, kb_relative_information_score: 16332.1736, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8331, predictive_accuracy: 0.8328, prior_entropy: 1.5849, recall: 0.8328, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.6029, scimark_benchmark: 946.1876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, build_cpu_time: 33.2622, build_memory: 485736642.4, f_measure: 0.861, kappa: 0.7919, kb_relative_information_score: 13629.3584, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8615, predictive_accuracy: 0.8612, prior_entropy: 1.5849, recall: 0.8612, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 947.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, build_cpu_time: 10.4076, build_memory: 855764227.2, f_measure: 0.8609, kappa: 0.7918, kb_relative_information_score: 13628.5718, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8614, predictive_accuracy: 0.8612, prior_entropy: 1.5849, recall: 0.8612, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6799, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, build_cpu_time: 4.713, build_memory: 276824399.2, f_measure: 0.8606, kappa: 0.7913, kb_relative_information_score: 13629.0808, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.861, predictive_accuracy: 0.8608, prior_entropy: 1.5849, recall: 0.8608, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.68, scimark_benchmark: 904.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, build_cpu_time: 2.0993, build_memory: 194861762.4, f_measure: 0.8605, kappa: 0.791, kb_relative_information_score: 13617.2498, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8607, predictive_accuracy: 0.8606, prior_entropy: 1.5849, recall: 0.8606, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6809, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, build_cpu_time: 0.0296, build_memory: 310901803.2, f_measure: 0.788, kappa: 0.7006, kb_relative_information_score: 18134.5251, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8348, predictive_accuracy: 0.8001, prior_entropy: 1.5849, recall: 0.8001, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7146, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, build_cpu_time: 0.0007, build_memory: 493113258.4, f_measure: 0.1711, kb_relative_information_score: 2.3179, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, build_cpu_time: 0.2617, build_memory: 580477784.8, f_measure: 0.7481, kappa: 0.6221, kb_relative_information_score: 16215.3636, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7481, predictive_accuracy: 0.7481, prior_entropy: 1.5849, recall: 0.7481, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8435, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, build_cpu_time: 0.2569, build_memory: 555749080.8, f_measure: 0.7481, kappa: 0.6221, kb_relative_information_score: 16215.3636, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7481, predictive_accuracy: 0.7481, prior_entropy: 1.5849, recall: 0.7481, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8435, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, build_cpu_time: 0.2561, build_memory: 191672484, f_measure: 0.6659, kappa: 0.5176, kb_relative_information_score: 5760.9267, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6841, predictive_accuracy: 0.6779, prior_entropy: 1.5849, recall: 0.6779, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8714, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, build_cpu_time: 0.2549, build_memory: 104002180.8, f_measure: 0.6659, kappa: 0.5176, kb_relative_information_score: 5760.9267, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6841, predictive_accuracy: 0.6779, prior_entropy: 1.5849, recall: 0.6779, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8714, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, build_cpu_time: 0.2718, build_memory: 97142328, f_measure: 0.6659, kappa: 0.5176, kb_relative_information_score: 5760.9267, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6841, predictive_accuracy: 0.6779, prior_entropy: 1.5849, recall: 0.6779, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8714, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, build_cpu_time: 0.7395, build_memory: 515186708.8, f_measure: 0.8152, kappa: 0.7234, kb_relative_information_score: 16195.1614, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8156, predictive_accuracy: 0.8156, prior_entropy: 1.5849, recall: 0.8156, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.294, root_relative_squared_error: 0.6237, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, build_cpu_time: 0.0279, build_memory: 272660925.6, f_measure: 0.788, kappa: 0.7006, kb_relative_information_score: 18134.5251, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8348, predictive_accuracy: 0.8001, prior_entropy: 1.5849, recall: 0.8001, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7146, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, build_cpu_time: 0.4048, build_memory: 73851289.6, f_measure: 0.8629, kappa: 0.7945, kb_relative_information_score: 19261.5959, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.863, predictive_accuracy: 0.863, prior_entropy: 1.5849, recall: 0.863, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5415, scimark_benchmark: 949.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, build_cpu_time: 0.2495, build_memory: 865046584.8, f_measure: 0.8597, kappa: 0.7899, kb_relative_information_score: 13572.4864, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8602, predictive_accuracy: 0.8599, prior_entropy: 1.5849, recall: 0.8599, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6881, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, build_cpu_time: 6.0494, build_memory: 232041818.4, f_measure: 0.8332, kappa: 0.7573, kb_relative_information_score: 13236.0841, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8565, predictive_accuracy: 0.838, prior_entropy: 1.5849, recall: 0.838, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7039, scimark_benchmark: 925.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, build_cpu_time: 0.0006, build_memory: 401144367.2, f_measure: 0.7247, kappa: 0.5872, kb_relative_information_score: 15572.0212, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7247, predictive_accuracy: 0.7248, prior_entropy: 1.5849, recall: 0.7248, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9081, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, build_cpu_time: 1.6141, build_memory: 870534494.4, f_measure: 0.782, kappa: 0.6742, kb_relative_information_score: 15844.9388, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7827, predictive_accuracy: 0.7828, prior_entropy: 1.5849, recall: 0.7828, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7366, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, build_cpu_time: 1.6129, build_memory: 608606089.6, f_measure: 0.8484, kappa: 0.7736, kb_relative_information_score: 16089.0868, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8499, predictive_accuracy: 0.849, prior_entropy: 1.5849, recall: 0.849, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5973, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, build_cpu_time: 0.3665, build_memory: 251624571.2, f_measure: 0.8444, kappa: 0.7674, kb_relative_information_score: 18937.0011, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8454, predictive_accuracy: 0.8449, prior_entropy: 1.5849, recall: 0.8449, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5696, scimark_benchmark: 888.4611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, build_cpu_time: 10.0145, build_memory: 1055903396, f_measure: 0.809, kappa: 0.7138, kb_relative_information_score: 18537.3258, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.809, predictive_accuracy: 0.8092, prior_entropy: 1.5849, recall: 0.8092, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, build_cpu_time: 19.5044, build_memory: 1288198262.4, f_measure: 0.828, kappa: 0.7424, kb_relative_information_score: 19132.8052, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8281, predictive_accuracy: 0.8282, prior_entropy: 1.5849, recall: 0.8282, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6894, scimark_benchmark: 911.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, build_cpu_time: 38.7946, build_memory: 2498722680, f_measure: 0.8395, kappa: 0.7596, kb_relative_information_score: 19535.4508, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8397, predictive_accuracy: 0.8397, prior_entropy: 1.5849, recall: 0.8397, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6764, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, build_cpu_time: 2.4827, build_memory: 498410596.8, f_measure: 0.7247, kappa: 0.5872, kb_relative_information_score: 15572.0212, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7247, predictive_accuracy: 0.7248, prior_entropy: 1.5849, recall: 0.7248, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9081, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, build_cpu_time: 1.6717, build_memory: 60229934.4, f_measure: 0.7247, kappa: 0.5872, kb_relative_information_score: 15572.0212, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7247, predictive_accuracy: 0.7248, prior_entropy: 1.5849, recall: 0.7248, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9081, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, build_cpu_time: 1.7039, build_memory: 81908740, f_measure: 0.7247, kappa: 0.5872, kb_relative_information_score: 15572.0212, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7247, predictive_accuracy: 0.7248, prior_entropy: 1.5849, recall: 0.7248, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9081, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, build_cpu_time: 61.4436, build_memory: 81614189.6, f_measure: 0.8496, kappa: 0.775, kb_relative_information_score: 19871.766, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8505, predictive_accuracy: 0.85, prior_entropy: 1.5849, recall: 0.85, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6682, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, build_cpu_time: 31.9159, build_memory: 960129302.4, f_measure: 0.845, kappa: 0.768, kb_relative_information_score: 19715.7865, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8456, predictive_accuracy: 0.8453, prior_entropy: 1.5849, recall: 0.8453, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6755, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, build_cpu_time: 15.1826, build_memory: 803512766.4, f_measure: 0.8362, kappa: 0.7549, kb_relative_information_score: 19433.9288, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8367, predictive_accuracy: 0.8366, prior_entropy: 1.5849, recall: 0.8366, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6885, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, build_cpu_time: 3.5088, build_memory: 841611641.6, f_measure: 0.8079, kappa: 0.7122, kb_relative_information_score: 18468.1309, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.808, predictive_accuracy: 0.8081, prior_entropy: 1.5849, recall: 0.8081, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.721, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, build_cpu_time: 10.8164, build_memory: 825929330.4, f_measure: 0.8195, kappa: 0.7294, kb_relative_information_score: 18662.2671, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8195, predictive_accuracy: 0.8196, prior_entropy: 1.5849, recall: 0.8196, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6756, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, build_cpu_time: 18.4624, build_memory: 870374565.6, f_measure: 0.8271, kappa: 0.7409, kb_relative_information_score: 19077.7164, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8271, predictive_accuracy: 0.8272, prior_entropy: 1.5849, recall: 0.8272, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6729, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, build_cpu_time: 41.9574, build_memory: 1162085230.4, f_measure: 0.8378, kappa: 0.7569, kb_relative_information_score: 19452.4148, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8378, predictive_accuracy: 0.8379, prior_entropy: 1.5849, recall: 0.8379, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6666, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, build_cpu_time: 73.5621, build_memory: 737074768, f_measure: 0.8433, kappa: 0.7652, kb_relative_information_score: 19667.2873, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 1.5849, recall: 0.8434, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6634, scimark_benchmark: 923.9118,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, build_cpu_time: 1.4359, build_memory: 899079224, f_measure: 0.788, kappa: 0.7006, kb_relative_information_score: 15621.2155, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8348, predictive_accuracy: 0.8001, prior_entropy: 1.5849, recall: 0.8001, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6763, scimark_benchmark: 943.2074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, build_cpu_time: 0.4882, build_memory: 452006623.2, f_measure: 0.6997, kappa: 0.5509, kb_relative_information_score: 12295.3268, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6995, predictive_accuracy: 0.7006, prior_entropy: 1.5849, recall: 0.7006, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7845, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, build_cpu_time: 1.049, build_memory: 1563174701.6, f_measure: 0.7278, kappa: 0.5936, kb_relative_information_score: 14697.6881, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.728, predictive_accuracy: 0.729, prior_entropy: 1.5849, recall: 0.729, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.765, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, build_cpu_time: 2.1141, build_memory: 968982340.8, f_measure: 0.7484, kappa: 0.6246, kb_relative_information_score: 16073.2719, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7492, predictive_accuracy: 0.7497, prior_entropy: 1.5849, recall: 0.7497, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7709, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, build_cpu_time: 4.3722, build_memory: 177260671.2, f_measure: 0.7611, kappa: 0.6431, kb_relative_information_score: 16744.2501, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7615, predictive_accuracy: 0.762, prior_entropy: 1.5849, recall: 0.762, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7854, scimark_benchmark: 927.3354,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs