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OpenML
Task
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 20195 runs submitted
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Visibility: Public
  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 study_98 study_99 under100k under1m
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20195 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.505, kappa: 0.3696, kb_relative_information_score: 334.9748, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.51, predictive_accuracy: 0.5095, prior_entropy: 2.2629, recall: 0.5095, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9212, scimark_benchmark: 1318.1432, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.3737, kappa: 0.2663, kb_relative_information_score: 146.1933, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3742, predictive_accuracy: 0.4633, prior_entropy: 2.2629, recall: 0.4633, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.378, root_relative_squared_error: 0.9552, scimark_benchmark: 915.6729, usercpu_time_millis: 1640, usercpu_time_millis_testing: 1200, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.6428, kappa: 0.5464, kb_relative_information_score: 239.4429, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.645, predictive_accuracy: 0.6481, prior_entropy: 2.2629, recall: 0.6481, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.8706, scimark_benchmark: 1297.6356, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.6542, kappa: 0.5605, kb_relative_information_score: 403.9454, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.655, predictive_accuracy: 0.659, prior_entropy: 2.2629, recall: 0.659, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.7752, scimark_benchmark: 912.5006, usercpu_time_millis: 1970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5356, f_measure: 0.2713, kappa: 0.0712, kb_relative_information_score: 114.9014, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3102, predictive_accuracy: 0.284, prior_entropy: 2.2629, recall: 0.284, relative_absolute_error: 0.9144, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.3524, scimark_benchmark: 912.5006, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.5511, kappa: 0.4209, kb_relative_information_score: 353.7627, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.578, predictive_accuracy: 0.5421, prior_entropy: 2.2629, recall: 0.5421, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9425, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.5423, kappa: 0.4128, kb_relative_information_score: 333.1312, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5452, predictive_accuracy: 0.5435, prior_entropy: 2.2629, recall: 0.5435, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.961, scimark_benchmark: 1369.9744, usercpu_time_millis: 1560, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.5615, kappa: 0.4374, kb_relative_information_score: 332.019, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.564, predictive_accuracy: 0.5625, prior_entropy: 2.2629, recall: 0.5625, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.8282, scimark_benchmark: 1304.6687, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.5147, kappa: 0.3815, kb_relative_information_score: 318.5186, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.517, predictive_accuracy: 0.5136, prior_entropy: 2.2629, recall: 0.5136, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4328, root_relative_squared_error: 1.0937, scimark_benchmark: 1321.527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.4051, kappa: 0.2595, kb_relative_information_score: 229.7403, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4043, predictive_accuracy: 0.4375, prior_entropy: 2.2629, recall: 0.4375, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.9714, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.6358, kappa: 0.5361, kb_relative_information_score: 390.8753, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6523, predictive_accuracy: 0.6413, prior_entropy: 2.2629, recall: 0.6413, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.7978, scimark_benchmark: 1290.1085, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.5234, kappa: 0.3939, kb_relative_information_score: 323.2166, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5231, predictive_accuracy: 0.5245, prior_entropy: 2.2629, recall: 0.5245, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4361, root_relative_squared_error: 1.1021, scimark_benchmark: 1327.8711, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, f_measure: 0.203, kappa: 0.0674, kb_relative_information_score: 114.3162, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3154, predictive_accuracy: 0.2853, prior_entropy: 2.2629, recall: 0.2853, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5347, root_relative_squared_error: 1.3511, 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: 0.8104, f_measure: 0.5806, kappa: 0.4649, kb_relative_information_score: 372.1222, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5807, predictive_accuracy: 0.5842, prior_entropy: 2.2629, recall: 0.5842, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9107, scimark_benchmark: 1358.4523, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.5898, kappa: 0.4685, kb_relative_information_score: 374.4882, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6211, predictive_accuracy: 0.5829, prior_entropy: 2.2629, recall: 0.5829, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.0322, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.6022, kappa: 0.4911, kb_relative_information_score: 390.9148, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6027, predictive_accuracy: 0.6019, prior_entropy: 2.2629, recall: 0.6019, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9387, scimark_benchmark: 921.8984, usercpu_time_millis: 83940, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 83900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6042, kappa: 0.497, kb_relative_information_score: 391.3688, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6043, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.9998, scimark_benchmark: 1392.1129, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.131, kb_relative_information_score: 0.3581, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.0845, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.6092, kappa: 0.5025, kb_relative_information_score: 386.0476, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6259, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.8494, scimark_benchmark: 1066.833, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.5939, kappa: 0.4784, kb_relative_information_score: 163.7953, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6552, predictive_accuracy: 0.5938, prior_entropy: 2.2629, recall: 0.5938, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9087, scimark_benchmark: 934.5243, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.5946, kappa: 0.4804, kb_relative_information_score: 153.001, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6578, predictive_accuracy: 0.5951, prior_entropy: 2.2629, recall: 0.5951, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9143, scimark_benchmark: 942.6953, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.5946, kappa: 0.4804, kb_relative_information_score: 153.001, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6578, predictive_accuracy: 0.5951, prior_entropy: 2.2629, recall: 0.5951, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9143, scimark_benchmark: 941.7954, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.3421, kappa: 0.2907, kb_relative_information_score: 228.187, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2678, predictive_accuracy: 0.4851, prior_entropy: 2.2629, recall: 0.4851, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8943, scimark_benchmark: 922.9039, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.3421, kappa: 0.2907, kb_relative_information_score: 228.187, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2678, predictive_accuracy: 0.4851, prior_entropy: 2.2629, recall: 0.4851, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8943, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.3421, kappa: 0.2907, kb_relative_information_score: 228.187, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2678, predictive_accuracy: 0.4851, prior_entropy: 2.2629, recall: 0.4851, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8943, scimark_benchmark: 938.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.3421, kappa: 0.2907, kb_relative_information_score: 228.187, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2678, predictive_accuracy: 0.4851, prior_entropy: 2.2629, recall: 0.4851, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8943, scimark_benchmark: 938.4285, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.3421, kappa: 0.2907, kb_relative_information_score: 228.187, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2678, predictive_accuracy: 0.4851, prior_entropy: 2.2629, recall: 0.4851, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8943, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.6427, kappa: 0.5436, kb_relative_information_score: 424.3992, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.643, predictive_accuracy: 0.6427, prior_entropy: 2.2629, recall: 0.6427, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.8226, scimark_benchmark: 938.4285, usercpu_time_millis: 1480, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.6473, kappa: 0.5486, kb_relative_information_score: 422.5875, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6474, predictive_accuracy: 0.6481, prior_entropy: 2.2629, recall: 0.6481, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.7977, scimark_benchmark: 933.1776, usercpu_time_millis: 850, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.6319, kappa: 0.5286, kb_relative_information_score: 420.4679, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6333, predictive_accuracy: 0.6332, prior_entropy: 2.2629, recall: 0.6332, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7764, scimark_benchmark: 924.6116, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.6438, kappa: 0.5442, kb_relative_information_score: 412.3913, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.646, predictive_accuracy: 0.6454, prior_entropy: 2.2629, recall: 0.6454, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.7635, scimark_benchmark: 932.3943, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.6315, kappa: 0.529, kb_relative_information_score: 392.6276, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6365, predictive_accuracy: 0.6345, prior_entropy: 2.2629, recall: 0.6345, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.7666, scimark_benchmark: 938.9865, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.5602, kappa: 0.4365, kb_relative_information_score: 348.3662, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5618, predictive_accuracy: 0.5598, prior_entropy: 2.2629, recall: 0.5598, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.8751, scimark_benchmark: 929.566, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, build_cpu_time: 0.9199, build_memory: 817983185.9783, f_measure: 0.6613, kappa: 0.5672, kb_relative_information_score: 418.4618, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6651, predictive_accuracy: 0.6644, prior_entropy: 2.2629, recall: 0.6644, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.314, root_relative_squared_error: 0.7934, scimark_benchmark: 943.7751,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, build_cpu_time: 1.5712, build_memory: 384991175.7174, f_measure: 0.6532, kappa: 0.5561, kb_relative_information_score: 433.2334, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6546, predictive_accuracy: 0.6549, prior_entropy: 2.2629, recall: 0.6549, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9313, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, build_cpu_time: 2.9937, build_memory: 335256282.0435, f_measure: 0.6568, kappa: 0.561, kb_relative_information_score: 435.3971, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6585, predictive_accuracy: 0.659, prior_entropy: 2.2629, recall: 0.659, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9291, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, build_cpu_time: 0.187, build_memory: 2976846248.837, f_measure: 0.5156, kappa: 0.3773, kb_relative_information_score: 312.1376, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5232, predictive_accuracy: 0.5109, prior_entropy: 2.2629, recall: 0.5109, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.1136, scimark_benchmark: 931.9671,

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

OpenML bootcamp

From your own software

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

OpenML APIs