OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.7204, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0012, root_relative_squared_error: 0.0034, scimark_benchmark: 1278.7617, usercpu_time_millis: 310.265, usercpu_time_millis_testing: 4.417, usercpu_time_millis_training: 305.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6544.4921, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0089, root_relative_squared_error: 0.0248, scimark_benchmark: 1218.1987, usercpu_time_millis: 90.958, usercpu_time_millis_testing: 2.318, usercpu_time_millis_training: 88.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9977, kappa: 0.9912, kb_relative_information_score: 5952.5822, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.2196, scimark_benchmark: 1279.3988, usercpu_time_millis: 249.856, usercpu_time_millis_testing: 8.837, usercpu_time_millis_training: 241.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.9865, kb_relative_information_score: 5222.0133, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.6204, recall: 0.9965, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.3368, scimark_benchmark: 1283.1322, usercpu_time_millis: 133.668, usercpu_time_millis_testing: 8.56, usercpu_time_millis_training: 125.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6017.7414, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.1943, scimark_benchmark: 1285.7102, usercpu_time_millis: 136.956, usercpu_time_millis_testing: 4.267, usercpu_time_millis_training: 132.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.4773, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0054, root_relative_squared_error: 0.0151, scimark_benchmark: 1247.8483, usercpu_time_millis: 340.681, usercpu_time_millis_testing: 7.448, usercpu_time_millis_training: 333.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6570.7958, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0061, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0048, root_relative_squared_error: 0.0132, scimark_benchmark: 1270.6319, usercpu_time_millis: 303.33, usercpu_time_millis_testing: 5.072, usercpu_time_millis_training: 298.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6585.6189, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0102, root_relative_squared_error: 0.0283, scimark_benchmark: 1284.4344, usercpu_time_millis: 137.606, usercpu_time_millis_testing: 4.184, usercpu_time_millis_training: 133.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6537.2376, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.014, root_relative_squared_error: 0.0389, scimark_benchmark: 1285.1173, usercpu_time_millis: 28.582, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 27.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6537.0745, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.066, scimark_benchmark: 1244.0839, usercpu_time_millis: 41.455, usercpu_time_millis_testing: 1.652, usercpu_time_millis_training: 39.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.2184, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0014, root_relative_squared_error: 0.004, scimark_benchmark: 1232.021, usercpu_time_millis: 425.717, usercpu_time_millis_testing: 7.644, usercpu_time_millis_training: 418.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6203.9359, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.1354, scimark_benchmark: 1245.1612, usercpu_time_millis: 212.721, usercpu_time_millis_testing: 6.563, usercpu_time_millis_training: 206.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6571.8785, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.068, scimark_benchmark: 1283.9327, usercpu_time_millis: 370.347, usercpu_time_millis_testing: 5.539, usercpu_time_millis_training: 364.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6577.0943, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0171, root_relative_squared_error: 0.0472, scimark_benchmark: 1274.0884, usercpu_time_millis: 32.269, usercpu_time_millis_testing: 1.657, usercpu_time_millis_training: 30.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9844, kappa: 0.939, kb_relative_information_score: 5254.3539, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9849, predictive_accuracy: 0.9847, prior_entropy: 0.6204, recall: 0.9847, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.128, root_relative_squared_error: 0.3546, scimark_benchmark: 1276.3961, usercpu_time_millis: 35.682, usercpu_time_millis_testing: 2.322, usercpu_time_millis_training: 33.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6504.9854, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0144, root_relative_squared_error: 0.0397, scimark_benchmark: 1262.9037, usercpu_time_millis: 133.397, usercpu_time_millis_testing: 2.648, usercpu_time_millis_training: 130.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.8097, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0005, root_relative_squared_error: 0.0013, scimark_benchmark: 1262.467, usercpu_time_millis: 116.122, usercpu_time_millis_testing: 2.216, usercpu_time_millis_training: 113.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6569.4598, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0262, root_relative_squared_error: 0.0725, scimark_benchmark: 1246.7109, usercpu_time_millis: 118.164, usercpu_time_millis_testing: 3.997, usercpu_time_millis_training: 114.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 5406.0573, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2998, scimark_benchmark: 1266.5313, usercpu_time_millis: 56.071, usercpu_time_millis_testing: 3.377, usercpu_time_millis_training: 52.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6582.8806, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0051, root_relative_squared_error: 0.0143, scimark_benchmark: 1281.8987, usercpu_time_millis: 59.714, usercpu_time_millis_testing: 1.755, usercpu_time_millis_training: 57.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.9483, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1233.4614, usercpu_time_millis: 154.606, usercpu_time_millis_testing: 2.912, usercpu_time_millis_training: 151.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6576.6041, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0039, root_relative_squared_error: 0.0107, scimark_benchmark: 1280.3363, usercpu_time_millis: 618.329, usercpu_time_millis_testing: 8.644, usercpu_time_millis_training: 609.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6237.1809, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0793, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.1318, scimark_benchmark: 1281.5577, usercpu_time_millis: 118.282, usercpu_time_millis_testing: 4.03, usercpu_time_millis_training: 114.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6546.6087, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0258, root_relative_squared_error: 0.0714, scimark_benchmark: 1279.1438, usercpu_time_millis: 33.199, usercpu_time_millis_testing: 1.77, usercpu_time_millis_training: 31.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9977, kappa: 0.9912, kb_relative_information_score: 5771.9637, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2462, scimark_benchmark: 1278.7721, usercpu_time_millis: 330.127, usercpu_time_millis_testing: 13.864, usercpu_time_millis_training: 316.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.2397, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002, scimark_benchmark: 1280.6235, usercpu_time_millis: 365.057, usercpu_time_millis_testing: 5.22, usercpu_time_millis_training: 359.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6574.2053, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0082, root_relative_squared_error: 0.0228, scimark_benchmark: 1285.1517, usercpu_time_millis: 16.248, usercpu_time_millis_testing: 1.036, usercpu_time_millis_training: 15.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6538.4573, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0117, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0241, root_relative_squared_error: 0.0669, scimark_benchmark: 1245.5817, usercpu_time_millis: 544.326, usercpu_time_millis_testing: 9.138, usercpu_time_millis_training: 535.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6067.9877, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.1893, scimark_benchmark: 1276.2699, usercpu_time_millis: 429.234, usercpu_time_millis_testing: 14.02, usercpu_time_millis_training: 415.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6402.5826, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0313, root_relative_squared_error: 0.0867, scimark_benchmark: 1244.1375, usercpu_time_millis: 183.188, usercpu_time_millis_testing: 4.844, usercpu_time_millis_training: 178.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 5618.0153, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.2615, scimark_benchmark: 1243.8774, usercpu_time_millis: 213.385, usercpu_time_millis_testing: 10.139, usercpu_time_millis_training: 203.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.0935, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0688, scimark_benchmark: 1231.7431, usercpu_time_millis: 236.083, usercpu_time_millis_testing: 5.445, usercpu_time_millis_training: 230.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6497.2306, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0218, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0685, scimark_benchmark: 1249.3931, usercpu_time_millis: 224.217, usercpu_time_millis_testing: 4.348, usercpu_time_millis_training: 219.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6448.2775, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0213, root_relative_squared_error: 0.0591, scimark_benchmark: 1285.6823, usercpu_time_millis: 467.173, usercpu_time_millis_testing: 10.102, usercpu_time_millis_training: 457.071,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1283.9777, usercpu_time_millis: 251.793, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 250.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1237.5076, usercpu_time_millis: 278.043, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 277.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.2607, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0455, scimark_benchmark: 1216.8364, usercpu_time_millis: 277.737, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 277.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1224.3611, usercpu_time_millis: 279.872, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 279.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9952, kappa: 0.9814, kb_relative_information_score: 6357.2862, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6204, recall: 0.9952, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.182, scimark_benchmark: 1277.3913, usercpu_time_millis: 285.834, usercpu_time_millis_testing: 1.948, usercpu_time_millis_training: 283.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6572.3263, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0116, root_relative_squared_error: 0.0322, scimark_benchmark: 1281.8267, usercpu_time_millis: 319.788, usercpu_time_millis_testing: 2.289, usercpu_time_millis_training: 317.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9874, kappa: 0.9516, kb_relative_information_score: 6013.1098, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.6204, recall: 0.9874, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.2764, scimark_benchmark: 1229.9049, usercpu_time_millis: 350.613, usercpu_time_millis_testing: 2.345, usercpu_time_millis_training: 348.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9573, kappa: 0.8322, kb_relative_information_score: 4844.8737, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9576, predictive_accuracy: 0.9585, prior_entropy: 0.6204, recall: 0.9585, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.4864, scimark_benchmark: 1230.0781, usercpu_time_millis: 385.173, usercpu_time_millis_testing: 2.731, usercpu_time_millis_training: 382.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1270.1913, usercpu_time_millis: 268.287, usercpu_time_millis_testing: 1.572, usercpu_time_millis_training: 266.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1273.0731, usercpu_time_millis: 253.947, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 253.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9284, kappa: 0.7105, kb_relative_information_score: 3858.6945, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9304, predictive_accuracy: 0.9327, prior_entropy: 0.6204, recall: 0.9327, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.6236, scimark_benchmark: 1239.2417, usercpu_time_millis: 549.764, usercpu_time_millis_testing: 3.506, usercpu_time_millis_training: 546.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9687, kappa: 0.8785, kb_relative_information_score: 5382.844, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9686, predictive_accuracy: 0.9691, prior_entropy: 0.6204, recall: 0.9691, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.155, root_relative_squared_error: 0.4293, scimark_benchmark: 1222.5449, usercpu_time_millis: 671.188, usercpu_time_millis_testing: 7.085, usercpu_time_millis_training: 664.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.989, kb_relative_information_score: 6451.4916, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0451, root_relative_squared_error: 0.1249, scimark_benchmark: 1226.3875, usercpu_time_millis: 554.064, usercpu_time_millis_testing: 3.34, usercpu_time_millis_training: 550.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9947, kappa: 0.9796, kb_relative_information_score: 6330.8567, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.6204, recall: 0.9947, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1911, scimark_benchmark: 1251.9121, usercpu_time_millis: 317.5, usercpu_time_millis_testing: 2.147, usercpu_time_millis_training: 315.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1207.1944, usercpu_time_millis: 348.487, usercpu_time_millis_testing: 3.184, usercpu_time_millis_training: 345.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9421, kappa: 0.768, kb_relative_information_score: 4173.5244, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9437, predictive_accuracy: 0.945, prior_entropy: 0.6204, recall: 0.945, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.5799, scimark_benchmark: 1215.6968, usercpu_time_millis: 701.515, usercpu_time_millis_testing: 7.584, usercpu_time_millis_training: 693.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5167.9901, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4626, scimark_benchmark: 1261.3902, usercpu_time_millis: 838.489, usercpu_time_millis_testing: 10.044, usercpu_time_millis_training: 828.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1270.0282, usercpu_time_millis: 251.752, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 250.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1232.8639, usercpu_time_millis: 257.469, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 256.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6545.027, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.0872, scimark_benchmark: 1231.0835, usercpu_time_millis: 255.603, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 254.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9901, kappa: 0.9618, kb_relative_information_score: 5666.1447, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.6204, recall: 0.9901, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.104, root_relative_squared_error: 0.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.996, kappa: 0.9848, kb_relative_information_score: 6236.3426, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.6204, recall: 0.9961, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9924, kb_relative_information_score: 6456.213, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0394, root_relative_squared_error: 0.1092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9559, kappa: 0.8263, kb_relative_information_score: 4617.1337, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9563, predictive_accuracy: 0.9573, prior_entropy: 0.6204, recall: 0.9573, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.187, root_relative_squared_error: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, kb_relative_information_score: -2682.4261, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0659, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9766, kappa: 0.9085, kb_relative_information_score: -5668.2326, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.977, predictive_accuracy: 0.9771, prior_entropy: 0.6204, recall: 0.9771, relative_absolute_error: 1.2363, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9733, kappa: 0.8944, kb_relative_information_score: -8658.6048, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9748, predictive_accuracy: 0.9742, prior_entropy: 0.6204, recall: 0.9742, relative_absolute_error: 1.5023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3945, root_relative_squared_error: 1.0926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9879, kappa: 0.9532, kb_relative_information_score: 5653.2107, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.6204, recall: 0.988, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.3049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.813, kappa: 0.1731, kb_relative_information_score: 809.8144, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.882, predictive_accuracy: 0.8628, prior_entropy: 0.6204, recall: 0.8628, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.338, root_relative_squared_error: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, kb_relative_information_score: -2705.9857, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,

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