Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 41 Supervised Classification soybean 16132 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 under100k under1m
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16132 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9337, kappa: 0.9277, kb_relative_information_score: 580.8158, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9411, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9148, kappa: 0.9084, kb_relative_information_score: 557.3057, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9219, predictive_accuracy: 0.9165, prior_entropy: 3.8572, recall: 0.9165, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.4683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9361, kappa: 0.9309, kb_relative_information_score: 583.175, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9427, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, kb_relative_information_score: 45.7745, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0293, prior_entropy: 3.8572, recall: 0.0293, relative_absolute_error: 1.0389, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2236, root_relative_squared_error: 1.0206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4286, kappa: -0.0066, kb_relative_information_score: 34.0637, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0264, prior_entropy: 3.8572, recall: 0.0264, relative_absolute_error: 1.0555, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2386, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 45.2127, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0293, prior_entropy: 3.8572, recall: 0.0293, relative_absolute_error: 1.0382, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2235, root_relative_squared_error: 1.0199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4484, kappa: -0.0322, kb_relative_information_score: 24.2554, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0015, prior_entropy: 3.8572, recall: 0.0015, relative_absolute_error: 1.0524, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2334, root_relative_squared_error: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 46.6594, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0293, prior_entropy: 3.8572, recall: 0.0293, relative_absolute_error: 1.0403, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2241, root_relative_squared_error: 1.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9246, kappa: 0.9181, kb_relative_information_score: 634.7924, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.933, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.082, root_relative_squared_error: 0.3742, scimark_benchmark: 1979.5321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9354, kappa: 0.9294, kb_relative_information_score: 645.9074, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9374, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.3137, scimark_benchmark: 910.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.791, kappa: 0.7656, kb_relative_information_score: 525.0035, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8175, predictive_accuracy: 0.7862, prior_entropy: 3.8572, recall: 0.7862, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.6666, scimark_benchmark: 948.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9188, kappa: 0.9116, kb_relative_information_score: 623.1442, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.921, predictive_accuracy: 0.9195, prior_entropy: 3.8572, recall: 0.9195, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.4006, scimark_benchmark: 947.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.2221, kappa: 0.1381, kb_relative_information_score: 57.3384, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.5368, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9125, kappa: 0.9052, kb_relative_information_score: 629.7158, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9206, predictive_accuracy: 0.9136, prior_entropy: 3.8572, recall: 0.9136, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.3704, scimark_benchmark: 944.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9188, kappa: 0.9116, kb_relative_information_score: 623.1442, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.921, predictive_accuracy: 0.9195, prior_entropy: 3.8572, recall: 0.9195, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.4006, scimark_benchmark: 927.0743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.2381, kappa: 0.1515, kb_relative_information_score: 49.3996, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.5203, predictive_accuracy: 0.2621, prior_entropy: 3.8572, recall: 0.2621, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8696, kappa: 0.8612, kb_relative_information_score: 598.2596, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8946, predictive_accuracy: 0.8741, prior_entropy: 3.8572, recall: 0.8741, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.4361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8557, kappa: 0.8466, kb_relative_information_score: 587.1121, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8851, predictive_accuracy: 0.8609, prior_entropy: 3.8572, recall: 0.8609, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.101, root_relative_squared_error: 0.4611, scimark_benchmark: 950.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9072, kappa: 0.8987, kb_relative_information_score: 626.7068, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9158, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.3711, scimark_benchmark: 948.4706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.913, kappa: 0.9067, kb_relative_information_score: 619.9675, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9148, predictive_accuracy: 0.9151, prior_entropy: 3.8572, recall: 0.9151, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.3858, scimark_benchmark: 919.5069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9311, kappa: 0.9246, kb_relative_information_score: 128.9102, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9324, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 942.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9191, kappa: 0.9132, kb_relative_information_score: 622.6271, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9226, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.3868, scimark_benchmark: 945.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.0625, kappa: 0.0105, kb_relative_information_score: 35.2673, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1705, predictive_accuracy: 0.1435, prior_entropy: 3.8572, recall: 0.1435, relative_absolute_error: 1.012, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.22, root_relative_squared_error: 1.0043, scimark_benchmark: 948.0743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.922, kappa: 0.9164, kb_relative_information_score: 623.9328, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9255, predictive_accuracy: 0.9239, prior_entropy: 3.8572, recall: 0.9239, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.3765, scimark_benchmark: 941.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.2221, kappa: 0.1381, kb_relative_information_score: 43.681, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.5368, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2194, root_relative_squared_error: 1.0012, scimark_benchmark: 943.7805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8206, kappa: 0.8228, kb_relative_information_score: 570.5731, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8295, predictive_accuracy: 0.8389, prior_entropy: 3.8572, recall: 0.8389, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.5, scimark_benchmark: 945.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.2971, kappa: 0.3186, kb_relative_information_score: 211.8908, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.2669, predictive_accuracy: 0.3982, prior_entropy: 3.8572, recall: 0.3982, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2517, root_relative_squared_error: 1.1486, scimark_benchmark: 943.6727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9312, kappa: 0.9246, kb_relative_information_score: 128.9388, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9322, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.9724, scimark_benchmark: 945.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9244, kappa: 0.9181, kb_relative_information_score: 597.2052, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9285, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.4117, scimark_benchmark: 949.0701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.4101, kappa: 0.3408, kb_relative_information_score: 72.7976, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.6026, predictive_accuracy: 0.4261, prior_entropy: 3.8572, recall: 0.4261, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9922, scimark_benchmark: 949.0344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.8599, kappa: 0.8613, kb_relative_information_score: 563.024, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.866, predictive_accuracy: 0.8741, prior_entropy: 3.8572, recall: 0.8741, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.4835, scimark_benchmark: 948.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9202, kappa: 0.9133, kb_relative_information_score: 621.4453, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.922, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.086, root_relative_squared_error: 0.3927, scimark_benchmark: 948.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8473, kappa: 0.8498, kb_relative_information_score: 563.5189, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8608, predictive_accuracy: 0.8638, prior_entropy: 3.8572, recall: 0.8638, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.4822, scimark_benchmark: 946.5721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.7656, kappa: 0.7709, kb_relative_information_score: 536.7975, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.7642, predictive_accuracy: 0.7921, prior_entropy: 3.8572, recall: 0.7921, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.5728, scimark_benchmark: 927.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.8929, kappa: 0.887, kb_relative_information_score: 127.0217, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9051, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.9731, scimark_benchmark: 941.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.2221, kappa: 0.1381, kb_relative_information_score: 68.4905, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.5368, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.9955, scimark_benchmark: 946.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.0689, kappa: 0.0106, kb_relative_information_score: 36.29, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.0559, predictive_accuracy: 0.1435, prior_entropy: 3.8572, recall: 0.1435, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.22, root_relative_squared_error: 1.0039, scimark_benchmark: 949.8123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.4707, kappa: 0.5197, kb_relative_information_score: 87.7218, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.4203, predictive_accuracy: 0.5783, prior_entropy: 3.8572, recall: 0.5783, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9864, scimark_benchmark: 945.3645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8786, kappa: 0.8713, kb_relative_information_score: 600.8465, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8818, predictive_accuracy: 0.8829, prior_entropy: 3.8572, recall: 0.8829, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.4409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9431, kappa: 0.9374, kb_relative_information_score: 647.033, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.944, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3191, scimark_benchmark: 948.9673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.8515, kappa: 0.8531, kb_relative_information_score: 562.8274, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8576, predictive_accuracy: 0.8668, prior_entropy: 3.8572, recall: 0.8668, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.4831, scimark_benchmark: 950.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.2221, kappa: 0.1381, kb_relative_information_score: 44.4539, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.5368, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.001, scimark_benchmark: 947.4468,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.7656, kappa: 0.7709, kb_relative_information_score: 537.5288, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.7642, predictive_accuracy: 0.7921, prior_entropy: 3.8572, recall: 0.7921, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.5725, scimark_benchmark: 946.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9255, kappa: 0.9181, kb_relative_information_score: 128.9004, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9273, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.9724, scimark_benchmark: 944.8255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9312, kappa: 0.9246, kb_relative_information_score: 128.9364, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9322, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.9724, scimark_benchmark: 944.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9426, kappa: 0.9374, kb_relative_information_score: 646.7311, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9442, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.295, scimark_benchmark: 948.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9232, kappa: 0.918, kb_relative_information_score: 621.7875, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9269, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3785, scimark_benchmark: 911.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9036, kappa: 0.8971, kb_relative_information_score: 614.0144, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9087, predictive_accuracy: 0.9063, prior_entropy: 3.8572, recall: 0.9063, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.3993, scimark_benchmark: 945.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9399, kappa: 0.9342, kb_relative_information_score: 647.1692, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9413, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2965, scimark_benchmark: 947.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.2221, kappa: 0.1381, kb_relative_information_score: 40.0505, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.5368, predictive_accuracy: 0.2504, prior_entropy: 3.8572, recall: 0.2504, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2195, root_relative_squared_error: 1.0016, scimark_benchmark: 938.1252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.1595, kappa: 0.1942, kb_relative_information_score: 220.1396, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.1327, predictive_accuracy: 0.2796, prior_entropy: 3.8572, recall: 0.2796, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9278, scimark_benchmark: 2023.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.8379, kappa: 0.8401, kb_relative_information_score: 556.6475, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8449, predictive_accuracy: 0.8551, prior_entropy: 3.8572, recall: 0.8551, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.5, scimark_benchmark: 2014.2213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.2971, kappa: 0.3186, kb_relative_information_score: 211.8908, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.2669, predictive_accuracy: 0.3982, prior_entropy: 3.8572, recall: 0.3982, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2517, root_relative_squared_error: 1.1486, scimark_benchmark: 2020.9354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8523, kappa: 0.8393, kb_relative_information_score: 578.2458, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8579, predictive_accuracy: 0.8536, prior_entropy: 3.8572, recall: 0.8536, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.5444, scimark_benchmark: 1949.5654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9163, kappa: 0.9099, kb_relative_information_score: 623.0659, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.922, predictive_accuracy: 0.918, prior_entropy: 3.8572, recall: 0.918, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.3816, scimark_benchmark: 2015.7911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9323, kappa: 0.9261, kb_relative_information_score: 128.9009, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9348, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 2010.3295,

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