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Function: require_once

OpenML
OpenML
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2125 Supervised Classification eucalyptus 321 runs submitted
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321 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.4817, kappa: 0.3442, kb_relative_information_score: 102.5313, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4866, predictive_accuracy: 0.4917, prior_entropy: 2.2629, recall: 0.4917, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.9373, scimark_benchmark: 854.5188, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.3512, kappa: 0.2296, kb_relative_information_score: 42.7491, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3711, predictive_accuracy: 0.438, prior_entropy: 2.2629, recall: 0.438, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.9711, scimark_benchmark: 1325.2092, usercpu_time_millis: 1510, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.6416, kappa: 0.5424, kb_relative_information_score: 80.1318, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6551, predictive_accuracy: 0.6446, prior_entropy: 2.2629, recall: 0.6446, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.8702, scimark_benchmark: 869.6028, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.6386, kappa: 0.5378, kb_relative_information_score: 134.3953, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6442, predictive_accuracy: 0.6405, prior_entropy: 2.2629, recall: 0.6405, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.7742, scimark_benchmark: 885.0921, usercpu_time_millis: 2050, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.0387, kappa: -0.0007, kb_relative_information_score: 9.7192, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.0222, predictive_accuracy: 0.1488, prior_entropy: 2.2629, recall: 0.1488, relative_absolute_error: 1.0865, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.4738, scimark_benchmark: 1386.5717, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.5784, kappa: 0.4537, kb_relative_information_score: 119.0115, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.611, predictive_accuracy: 0.5702, prior_entropy: 2.2629, recall: 0.5702, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9286, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.5318, kappa: 0.4168, kb_relative_information_score: 108.4539, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.551, predictive_accuracy: 0.5537, prior_entropy: 2.2629, recall: 0.5537, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.972, scimark_benchmark: 1316.0472, usercpu_time_millis: 1610, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.5381, kappa: 0.4078, kb_relative_information_score: 100.1044, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5494, predictive_accuracy: 0.5413, prior_entropy: 2.2629, recall: 0.5413, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.8508, scimark_benchmark: 1319.5177, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.5182, kappa: 0.3821, kb_relative_information_score: 99.3462, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5222, predictive_accuracy: 0.5165, prior_entropy: 2.2629, recall: 0.5165, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0891, scimark_benchmark: 1315.0767, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.3909, kappa: 0.2225, kb_relative_information_score: 64.5155, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3897, predictive_accuracy: 0.3967, prior_entropy: 2.2629, recall: 0.3967, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.031, scimark_benchmark: 1073.494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.6572, kappa: 0.5703, kb_relative_information_score: 132.8542, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.7115, predictive_accuracy: 0.6736, prior_entropy: 2.2629, recall: 0.6736, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.7599, scimark_benchmark: 1341.5768, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.5459, kappa: 0.4186, kb_relative_information_score: 112.4373, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5473, predictive_accuracy: 0.5455, prior_entropy: 2.2629, recall: 0.5455, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.077, scimark_benchmark: 1350.9691, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.2058, kappa: 0.0764, kb_relative_information_score: 40.0754, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3467, predictive_accuracy: 0.2934, prior_entropy: 2.2629, recall: 0.2934, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.3428, scimark_benchmark: 1384.4418, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.5604, kappa: 0.4549, kb_relative_information_score: 122.507, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5676, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.9056, scimark_benchmark: 1358.4523, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.5968, kappa: 0.4814, kb_relative_information_score: 125.6406, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6465, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.0166, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.6283, kappa: 0.5345, kb_relative_information_score: 137.435, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6251, predictive_accuracy: 0.6364, prior_entropy: 2.2629, recall: 0.6364, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.9633, scimark_benchmark: 1392.1129, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1298, kb_relative_information_score: 0.2785, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.0837, predictive_accuracy: 0.2893, prior_entropy: 2.2629, recall: 0.2893, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3959, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.5917, kappa: 0.4891, kb_relative_information_score: 121.099, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6097, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8685, scimark_benchmark: 1066.833, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 1.223, build_memory: 475145480, f_measure: 0.6618, kappa: 0.5655, kb_relative_information_score: 119.4795, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6738, predictive_accuracy: 0.6612, prior_entropy: 2.2629, recall: 0.6612, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.7968, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 1.229, build_memory: 681376672, f_measure: 0.6618, kappa: 0.5655, kb_relative_information_score: 119.4795, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6738, predictive_accuracy: 0.6612, prior_entropy: 2.2629, recall: 0.6612, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.7968, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 2.14, build_memory: 185533328, f_measure: 0.6618, kappa: 0.5655, kb_relative_information_score: 119.4795, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6738, predictive_accuracy: 0.6612, prior_entropy: 2.2629, recall: 0.6612, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.7968, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 1.292, build_memory: 374921944, f_measure: 0.6618, kappa: 0.5655, kb_relative_information_score: 119.4795, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6738, predictive_accuracy: 0.6612, prior_entropy: 2.2629, recall: 0.6612, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.7968, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 0.041, build_memory: 646373848, f_measure: 0.3961, kappa: 0.2258, kb_relative_information_score: 32.8267, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4041, predictive_accuracy: 0.4008, prior_entropy: 2.2629, recall: 0.4008, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9663, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 0.028, build_memory: 1307567600, f_measure: 0.3961, kappa: 0.2258, kb_relative_information_score: 32.8267, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4041, predictive_accuracy: 0.4008, prior_entropy: 2.2629, recall: 0.4008, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9663, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 0.038, build_memory: 808896776, f_measure: 0.3961, kappa: 0.2258, kb_relative_information_score: 32.8267, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4041, predictive_accuracy: 0.4008, prior_entropy: 2.2629, recall: 0.4008, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9663, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 0.028, build_memory: 795348560, f_measure: 0.3961, kappa: 0.2258, kb_relative_information_score: 32.8267, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4041, predictive_accuracy: 0.4008, prior_entropy: 2.2629, recall: 0.4008, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9663, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 0.031, build_memory: 129021104, f_measure: 0.3961, kappa: 0.2258, kb_relative_information_score: 32.8267, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4041, predictive_accuracy: 0.4008, prior_entropy: 2.2629, recall: 0.4008, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9663, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, build_cpu_time: 0.014, build_memory: 599015472, f_measure: 0.4975, kappa: 0.3662, kb_relative_information_score: 100.7998, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4914, predictive_accuracy: 0.5083, prior_entropy: 2.2629, recall: 0.5083, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0878, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, build_cpu_time: 0.004, build_memory: 1484100592, f_measure: 0.4975, kappa: 0.3662, kb_relative_information_score: 100.7998, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4914, predictive_accuracy: 0.5083, prior_entropy: 2.2629, recall: 0.5083, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0878, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, build_cpu_time: 0.004, build_memory: 142912224, f_measure: 0.4975, kappa: 0.3662, kb_relative_information_score: 100.7998, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4914, predictive_accuracy: 0.5083, prior_entropy: 2.2629, recall: 0.5083, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0878, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, build_cpu_time: 0.003, build_memory: 277424280, f_measure: 0.4975, kappa: 0.3662, kb_relative_information_score: 100.7998, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4914, predictive_accuracy: 0.5083, prior_entropy: 2.2629, recall: 0.5083, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0878, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, build_cpu_time: 0.003, build_memory: 542438112, f_measure: 0.4975, kappa: 0.3662, kb_relative_information_score: 100.7998, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4914, predictive_accuracy: 0.5083, prior_entropy: 2.2629, recall: 0.5083, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0878, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, build_cpu_time: 0.167, build_memory: 2633311048, f_measure: 0.5316, kappa: 0.4016, kb_relative_information_score: 99.0884, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5408, predictive_accuracy: 0.5372, prior_entropy: 2.2629, recall: 0.5372, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.8533, scimark_benchmark: 943.8094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 19.898, build_memory: 2285914608, f_measure: 0.6293, kappa: 0.5266, kb_relative_information_score: 140.3651, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6334, predictive_accuracy: 0.6322, prior_entropy: 2.2629, recall: 0.6322, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9207, scimark_benchmark: 949.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, build_cpu_time: 11.541, build_memory: 121561080, f_measure: 0.6232, kappa: 0.5205, kb_relative_information_score: 140.9101, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6261, predictive_accuracy: 0.6281, prior_entropy: 2.2629, recall: 0.6281, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.9057, scimark_benchmark: 928.3554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, build_cpu_time: 6.823, build_memory: 430632600, f_measure: 0.6556, kappa: 0.5598, kb_relative_information_score: 143.1629, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6563, predictive_accuracy: 0.657, prior_entropy: 2.2629, recall: 0.657, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.8529, scimark_benchmark: 890.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, build_cpu_time: 0.047, build_memory: 644579296, f_measure: 0.5779, kappa: 0.4619, kb_relative_information_score: 116.614, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5791, predictive_accuracy: 0.5826, prior_entropy: 2.2629, recall: 0.5826, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9303, scimark_benchmark: 906.4221,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, build_cpu_time: 0.171, build_memory: 71999176, f_measure: 0.5381, kappa: 0.4078, kb_relative_information_score: 100.1044, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5494, predictive_accuracy: 0.5413, prior_entropy: 2.2629, recall: 0.5413, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.8508, scimark_benchmark: 918.4301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, build_memory: 862734936, f_measure: 0.4551, kappa: 0.2986, kb_relative_information_score: 85.2977, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4686, predictive_accuracy: 0.4504, prior_entropy: 2.2629, recall: 0.4504, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4665, root_relative_squared_error: 1.1784, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, build_cpu_time: 0.363, build_memory: 843921672, f_measure: 0.3081, kappa: 0.1865, kb_relative_information_score: 41.3064, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3107, predictive_accuracy: 0.4132, prior_entropy: 2.2629, recall: 0.4132, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.9746, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, build_cpu_time: 0.225, build_memory: 1118733480, f_measure: 0.6416, kappa: 0.5424, kb_relative_information_score: 80.1318, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6551, predictive_accuracy: 0.6446, prior_entropy: 2.2629, recall: 0.6446, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.8702, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, build_cpu_time: 1.114, build_memory: 330255416, f_measure: 0.6556, kappa: 0.5564, kb_relative_information_score: 143.6425, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6604, predictive_accuracy: 0.6529, prior_entropy: 2.2629, recall: 0.6529, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8087, scimark_benchmark: 942.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, build_cpu_time: 0.043, build_memory: 832056056, f_measure: 0.3992, kappa: 0.2317, kb_relative_information_score: 68.3079, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4029, predictive_accuracy: 0.405, prior_entropy: 2.2629, recall: 0.405, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.983, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, build_cpu_time: 0.015, build_memory: 384498480, f_measure: 0.5917, kappa: 0.4891, kb_relative_information_score: 121.099, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6097, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8685, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, build_cpu_time: 0.015, build_memory: 63311488, f_measure: 0.5917, kappa: 0.4891, kb_relative_information_score: 121.099, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6097, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8685, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, build_cpu_time: 0.016, build_memory: 992612976, f_measure: 0.5917, kappa: 0.4891, kb_relative_information_score: 121.099, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6097, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8685, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, build_cpu_time: 0.015, build_memory: 402641536, f_measure: 0.5917, kappa: 0.4891, kb_relative_information_score: 121.099, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6097, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8685, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, build_cpu_time: 0.02, build_memory: 30202152, f_measure: 0.5917, kappa: 0.4891, kb_relative_information_score: 121.099, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6097, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8685, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, build_cpu_time: 0.059, build_memory: 5562144, f_measure: 0.5886, kappa: 0.4669, kb_relative_information_score: 123.9948, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6231, predictive_accuracy: 0.5785, prior_entropy: 2.2629, recall: 0.5785, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9217, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, build_cpu_time: 0.002, build_memory: 51505800, f_measure: 0.5886, kappa: 0.4669, kb_relative_information_score: 123.9948, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6231, predictive_accuracy: 0.5785, prior_entropy: 2.2629, recall: 0.5785, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9217, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, build_cpu_time: 2.047, build_memory: 354485904, f_measure: 0.6204, kappa: 0.5095, kb_relative_information_score: 73.8113, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6377, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.8799, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, build_cpu_time: 4.081, build_memory: 727624808, f_measure: 0.596, kappa: 0.48, kb_relative_information_score: 74.4494, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6165, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.8775, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 10.145, build_memory: 1126169560, f_measure: 0.6005, kappa: 0.4857, kb_relative_information_score: 74.0954, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6243, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.8786, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, build_cpu_time: 16.073, build_memory: 195935736, f_measure: 0.5913, kappa: 0.4753, kb_relative_information_score: 74.3548, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6183, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.8782, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, build_cpu_time: 30.373, build_memory: 2352148688, f_measure: 0.5998, kappa: 0.4863, kb_relative_information_score: 74.4508, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6253, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.8782, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, build_cpu_time: 0.906, build_memory: 1918737056, f_measure: 0.4023, kappa: 0.2378, kb_relative_information_score: 71.5353, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4054, predictive_accuracy: 0.4132, prior_entropy: 2.2629, recall: 0.4132, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.9686, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, build_cpu_time: 0.97, build_memory: 136726176, f_measure: 0.4023, kappa: 0.2378, kb_relative_information_score: 71.5353, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4054, predictive_accuracy: 0.4132, prior_entropy: 2.2629, recall: 0.4132, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.9686, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, build_cpu_time: 0.519, build_memory: 114429512, f_measure: 0.3922, kappa: 0.2268, kb_relative_information_score: 71.2585, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3952, predictive_accuracy: 0.405, prior_entropy: 2.2629, recall: 0.405, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.9675, scimark_benchmark: 947.903,

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