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OpenML
Task
Supervised Classification on pasture

Supervised Classification on pasture

Task 3498 Supervised Classification pasture 390 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 under100k under1m
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390 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.6861, kappa: 0.5417, kb_relative_information_score: 19.6713, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6958, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7598, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.4255, kappa: 0.1667, kb_relative_information_score: 4.0351, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.4269, predictive_accuracy: 0.4444, prior_entropy: 1.585, recall: 0.4444, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.529, root_relative_squared_error: 1.1222, scimark_benchmark: 939.5088, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.6667, kappa: 0.5, kb_relative_information_score: 14.7733, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.6806, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.8333, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8333, kappa: 0.75, kb_relative_information_score: 25.617, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 1.585, recall: 0.8333, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6558, scimark_benchmark: 923.988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.4721, kappa: 0.2083, kb_relative_information_score: 9.9877, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.4863, predictive_accuracy: 0.4722, prior_entropy: 1.585, recall: 0.4722, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5932, root_relative_squared_error: 1.2583, scimark_benchmark: 916.9356, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.7532, kappa: 0.625, kb_relative_information_score: 24.2789, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7582, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7626, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.6912, kappa: 0.5417, kb_relative_information_score: 18.8423, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6926, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8727, scimark_benchmark: 1315.3881, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8041, kappa: 0.7083, kb_relative_information_score: 19.6059, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8044, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6857, scimark_benchmark: 1307.3269, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.6622, kappa: 0.5, kb_relative_information_score: 19.5712, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6627, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.6622, kappa: 0.5, kb_relative_information_score: 19.5712, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6627, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8294, kappa: 0.75, kb_relative_information_score: 25.5066, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8403, predictive_accuracy: 0.8333, prior_entropy: 1.585, recall: 0.8333, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.306, root_relative_squared_error: 0.649, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8322, kappa: 0.75, kb_relative_information_score: 26.9242, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8381, predictive_accuracy: 0.8333, prior_entropy: 1.585, recall: 0.8333, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6551, scimark_benchmark: 1324.8395, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8076, kappa: 0.7083, kb_relative_information_score: 26.4165, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8116, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7638, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 3.1423, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.4142, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6038, kappa: 0.4167, kb_relative_information_score: 16.7808, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.5981, predictive_accuracy: 0.6111, prior_entropy: 1.585, recall: 0.6111, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0607, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.4881, kappa: 0.25, kb_relative_information_score: 11.3567, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.4829, predictive_accuracy: 0.5, prior_entropy: 1.585, recall: 0.5, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.752, kappa: 0.625, kb_relative_information_score: 22.2516, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7556, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7805, scimark_benchmark: 917.4321, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.6667, kappa: 0.5, kb_relative_information_score: 19.5712, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.2, kappa: -0.0833, kb_relative_information_score: -0, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.1786, predictive_accuracy: 0.2778, prior_entropy: 1.585, recall: 0.2778, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.005, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.6315, kappa: 0.4583, kb_relative_information_score: 18.6736, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6282, predictive_accuracy: 0.6389, prior_entropy: 1.585, recall: 0.6389, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9842, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.6111, kappa: 0.4167, kb_relative_information_score: 18.0632, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6111, predictive_accuracy: 0.6111, prior_entropy: 1.585, recall: 0.6111, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0089, scimark_benchmark: 945.7621, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.636, kappa: 0.4583, kb_relative_information_score: 18.7974, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6344, predictive_accuracy: 0.6389, prior_entropy: 1.585, recall: 0.6389, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9987, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.6012, kappa: 0.4167, kb_relative_information_score: 16.909, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.5949, predictive_accuracy: 0.6111, prior_entropy: 1.585, recall: 0.6111, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0488, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.5759, kappa: 0.375, kb_relative_information_score: 16.1156, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.5699, predictive_accuracy: 0.5833, prior_entropy: 1.585, recall: 0.5833, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0738, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.7143, kappa: 0.5833, kb_relative_information_score: 22.1526, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7292, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8909, scimark_benchmark: 911.3823, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.7778, kappa: 0.6667, kb_relative_information_score: 24.9203, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 1.585, recall: 0.7778, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7549, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.7222, kappa: 0.5833, kb_relative_information_score: 21.8101, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7222, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8793, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.7203, kappa: 0.5833, kb_relative_information_score: 22.7839, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7238, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7699, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7714, kappa: 0.6667, kb_relative_information_score: 22.2458, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7917, predictive_accuracy: 0.7778, prior_entropy: 1.585, recall: 0.7778, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7759, scimark_benchmark: 938.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.6667, kappa: 0.5, kb_relative_information_score: 19.4833, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9955, scimark_benchmark: 945.7621, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.7762, kappa: 0.6667, kb_relative_information_score: 25.4026, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.781, predictive_accuracy: 0.7778, prior_entropy: 1.585, recall: 0.7778, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7798, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, build_cpu_time: 0.261, build_memory: 1230402175.3333, f_measure: 0.7714, kappa: 0.6667, kb_relative_information_score: 25.8407, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7917, predictive_accuracy: 0.7778, prior_entropy: 1.585, recall: 0.7778, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7144, scimark_benchmark: 946.4503,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, build_cpu_time: 2.6514, build_memory: 1568901663.5556, f_measure: 0.7455, kappa: 0.625, kb_relative_information_score: 23.6971, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7462, predictive_accuracy: 0.75, prior_entropy: 1.585, recall: 0.75, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8641, scimark_benchmark: 899.4388,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, build_cpu_time: 0.0767, build_memory: 397535366.8889, f_measure: 0.8322, kappa: 0.75, kb_relative_information_score: 27.1404, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8381, predictive_accuracy: 0.8333, prior_entropy: 1.585, recall: 0.8333, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7125, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, build_cpu_time: 0.2344, build_memory: 670231303.7778, f_measure: 0.8082, kappa: 0.7083, kb_relative_information_score: 26.702, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8222, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7329, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, build_cpu_time: 0.3281, build_memory: 385785472, f_measure: 0.8609, kappa: 0.7917, kb_relative_information_score: 29.6104, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8625, predictive_accuracy: 0.8611, prior_entropy: 1.585, recall: 0.8611, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.604, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, build_cpu_time: 0.6218, build_memory: 960654555.1111, f_measure: 0.8609, kappa: 0.7917, kb_relative_information_score: 29.0508, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8625, predictive_accuracy: 0.8611, prior_entropy: 1.585, recall: 0.8611, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6427, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, build_cpu_time: 1.4713, build_memory: 643230674.2222, f_measure: 0.8609, kappa: 0.7917, kb_relative_information_score: 29.1547, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.8625, predictive_accuracy: 0.8611, prior_entropy: 1.585, recall: 0.8611, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6455, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, build_cpu_time: 0.0629, build_memory: 1303676828.4444, f_measure: 0.6982, kappa: 0.5417, kb_relative_information_score: 21.9814, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7111, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8931, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, build_cpu_time: 0.0633, build_memory: 1063693374.6667, f_measure: 0.6982, kappa: 0.5417, kb_relative_information_score: 21.9786, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7111, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8934, scimark_benchmark: 939.0159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, build_cpu_time: 0.0244, build_memory: 288604619.7778, f_measure: 0.6924, kappa: 0.5417, kb_relative_information_score: 22.3474, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7181, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8671, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, build_cpu_time: 0.0111, build_memory: 604182815.1111, f_measure: 0.6361, kappa: 0.4583, kb_relative_information_score: 19.2467, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6569, predictive_accuracy: 0.6389, prior_entropy: 1.585, recall: 0.6389, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.973, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, build_cpu_time: 0.0044, build_memory: 297993710.2222, f_measure: 0.6884, kappa: 0.5417, kb_relative_information_score: 21.0806, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.684, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9281, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, build_cpu_time: 0.0086, build_memory: 181111808, f_measure: 0.6884, kappa: 0.5417, kb_relative_information_score: 21.3216, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.684, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9131, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, build_cpu_time: 0.0208, build_memory: 1217799030.2222, f_measure: 0.6885, kappa: 0.5417, kb_relative_information_score: 21.51, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.6872, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8942, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, build_cpu_time: 0.0275, build_memory: 1129854492.4444, f_measure: 0.7173, kappa: 0.5833, kb_relative_information_score: 22.3101, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7143, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8782, scimark_benchmark: 941.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, build_cpu_time: 0.0255, build_memory: 733679027.3333, f_measure: 0.7173, kappa: 0.5833, kb_relative_information_score: 22.3097, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7143, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8782, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, build_cpu_time: 0.0122, build_memory: 654018879.1111, f_measure: 0.6974, kappa: 0.5417, kb_relative_information_score: 19.9008, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7195, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9198, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, build_cpu_time: 0.0102, build_memory: 191406034.6667, f_measure: 0.6974, kappa: 0.5417, kb_relative_information_score: 19.9008, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7195, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9198, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, build_cpu_time: 0.004, build_memory: 56451836.4444, f_measure: 0.6974, kappa: 0.5417, kb_relative_information_score: 19.9008, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7195, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9198, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, build_cpu_time: 0.1333, build_memory: 27846080.4444, f_measure: 0.7714, kappa: 0.6667, kb_relative_information_score: 24.2194, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4444, number_of_instances: 36, precision: 0.7917, predictive_accuracy: 0.7778, prior_entropy: 1.585, recall: 0.7778, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7956, scimark_benchmark: 939.7233,

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