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: 0.998, f_measure: 0.9889, kappa: 0.9574, kb_relative_information_score: 6072.3131, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 0.6204, recall: 0.9889, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.2626, scimark_benchmark: 1274.1314, usercpu_time_millis: 262.704, usercpu_time_millis_testing: 2.434, usercpu_time_millis_training: 260.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9457, kappa: 0.789, kb_relative_information_score: 4529.2333, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9453, predictive_accuracy: 0.9463, prior_entropy: 0.6204, recall: 0.9463, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.5601, scimark_benchmark: 1241.2793, usercpu_time_millis: 771.666, usercpu_time_millis_testing: 8.76, usercpu_time_millis_training: 762.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9955, kappa: 0.9826, kb_relative_information_score: 6416.9279, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.6204, recall: 0.9955, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1453, scimark_benchmark: 1215.3229, usercpu_time_millis: 553.166, usercpu_time_millis_testing: 3.331, usercpu_time_millis_training: 549.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9933, kappa: 0.9745, kb_relative_information_score: 6296.1963, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.6204, recall: 0.9933, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.2012, scimark_benchmark: 1213.8393, usercpu_time_millis: 441.99, usercpu_time_millis_testing: 2.823, usercpu_time_millis_training: 439.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6567.6937, mean_absolute_error: 0.0013, 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: 0.005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0139, root_relative_squared_error: 0.0385, scimark_benchmark: 1260.0213, usercpu_time_millis: 240.648, usercpu_time_millis_testing: 2.179, usercpu_time_millis_training: 238.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9497, kappa: 0.8031, kb_relative_information_score: 4740.5922, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9494, predictive_accuracy: 0.9507, prior_entropy: 0.6204, recall: 0.9507, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.5303, scimark_benchmark: 1236.1371, usercpu_time_millis: 727.586, usercpu_time_millis_testing: 7.354, usercpu_time_millis_training: 720.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6485.912, mean_absolute_error: 0.0043, 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: 0.0167, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.1129, scimark_benchmark: 1210.6312, usercpu_time_millis: 302.826, usercpu_time_millis_testing: 2.534, usercpu_time_millis_training: 300.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6510.2489, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0404, root_relative_squared_error: 0.1118, scimark_benchmark: 1263.9323, usercpu_time_millis: 249.901, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 248.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8508, 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: 1225.4923, usercpu_time_millis: 358.6, usercpu_time_millis_testing: 2.747, usercpu_time_millis_training: 355.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9324, kappa: 0.7318, kb_relative_information_score: 3850.1267, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9324, predictive_accuracy: 0.935, prior_entropy: 0.6204, recall: 0.935, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.6245, scimark_benchmark: 1212.7157, usercpu_time_millis: 705.54, usercpu_time_millis_testing: 7.469, usercpu_time_millis_training: 698.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9773, kappa: 0.9118, kb_relative_information_score: 5791.6054, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9773, predictive_accuracy: 0.9776, prior_entropy: 0.6204, recall: 0.9776, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3493, scimark_benchmark: 1216.0981, usercpu_time_millis: 608.174, usercpu_time_millis_testing: 4.798, usercpu_time_millis_training: 603.376,
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: 1266.4244, usercpu_time_millis: 237.823, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 237.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.967, kappa: 0.8717, kb_relative_information_score: 5295.6221, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9669, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4456, scimark_benchmark: 1263.8664, usercpu_time_millis: 711.421, usercpu_time_millis_testing: 8.113, usercpu_time_millis_training: 703.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.0744, 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: 0.0031, root_relative_squared_error: 0.0086, scimark_benchmark: 1266.2373, usercpu_time_millis: 15.939, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 14.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6588.2627, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0037, root_relative_squared_error: 0.0102, scimark_benchmark: 1223.084, usercpu_time_millis: 341.279, usercpu_time_millis_testing: 6.651, usercpu_time_millis_training: 334.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6569.6969, 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: 0.0258, root_relative_squared_error: 0.0716, scimark_benchmark: 1229.3775, usercpu_time_millis: 143.033, usercpu_time_millis_testing: 4.249, usercpu_time_millis_training: 138.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6386.9421, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.0876, scimark_benchmark: 1273.579, usercpu_time_millis: 527.077, usercpu_time_millis_testing: 10.615, usercpu_time_millis_training: 516.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.7212, 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: 0.0011, root_relative_squared_error: 0.0031, scimark_benchmark: 1280.5387, usercpu_time_millis: 410.138, usercpu_time_millis_testing: 5.702, usercpu_time_millis_training: 404.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.2335, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0054, root_relative_squared_error: 0.0151, scimark_benchmark: 1267.0229, usercpu_time_millis: 43.134, usercpu_time_millis_testing: 1.724, usercpu_time_millis_training: 41.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6546.3193, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0081, root_relative_squared_error: 0.0224, scimark_benchmark: 1270.1887, usercpu_time_millis: 431.17, usercpu_time_millis_testing: 7.244, usercpu_time_millis_training: 423.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6466.1995, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0181, root_relative_squared_error: 0.05, scimark_benchmark: 1268.1014, usercpu_time_millis: 301.986, usercpu_time_millis_testing: 7.938, usercpu_time_millis_training: 294.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.6275, mean_absolute_error: 0.0007, 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: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0683, scimark_benchmark: 1267.433, usercpu_time_millis: 49.051, usercpu_time_millis_testing: 1.484, usercpu_time_millis_training: 47.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6311.5647, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0675, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0348, root_relative_squared_error: 0.0963, scimark_benchmark: 1267.2924, usercpu_time_millis: 291.217, usercpu_time_millis_testing: 9.907, usercpu_time_millis_training: 281.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.0308, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0014, root_relative_squared_error: 0.0039, scimark_benchmark: 1273.5437, usercpu_time_millis: 135.434, usercpu_time_millis_testing: 2.201, usercpu_time_millis_training: 133.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.7312, 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: 0.0277, root_relative_squared_error: 0.0766, scimark_benchmark: 1217.7426, usercpu_time_millis: 42.62, usercpu_time_millis_testing: 1.889, usercpu_time_millis_training: 40.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6584.8849, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0032, root_relative_squared_error: 0.0089, scimark_benchmark: 1267.1947, usercpu_time_millis: 324.159, usercpu_time_millis_testing: 6.539, usercpu_time_millis_training: 317.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6468.3827, mean_absolute_error: 0.0075, 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: 0.0288, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0273, root_relative_squared_error: 0.0755, scimark_benchmark: 1259.2825, usercpu_time_millis: 339.02, usercpu_time_millis_testing: 8.362, usercpu_time_millis_training: 330.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6530.3376, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0371, scimark_benchmark: 1226.5725, usercpu_time_millis: 189.49, usercpu_time_millis_testing: 6.395, usercpu_time_millis_training: 183.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6303.7881, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0394, root_relative_squared_error: 0.1092, scimark_benchmark: 1226.0733, usercpu_time_millis: 609.267, usercpu_time_millis_testing: 13.315, usercpu_time_millis_training: 595.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.4161, mean_absolute_error: 0.0007, 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: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0683, scimark_benchmark: 1203.1302, usercpu_time_millis: 108.613, usercpu_time_millis_testing: 2.464, usercpu_time_millis_training: 106.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.1141, 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: 0.003, root_relative_squared_error: 0.0083, scimark_benchmark: 1269.3973, usercpu_time_millis: 10.439, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 9.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.8991, 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: 0.0275, root_relative_squared_error: 0.0763, scimark_benchmark: 1273.1962, usercpu_time_millis: 182.758, usercpu_time_millis_testing: 6.415, usercpu_time_millis_training: 176.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6560.3765, mean_absolute_error: 0.0016, 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: 0.0063, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0684, scimark_benchmark: 1232.0381, usercpu_time_millis: 63.807, usercpu_time_millis_testing: 2.044, usercpu_time_millis_training: 61.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6544.4427, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0111, root_relative_squared_error: 0.0308, scimark_benchmark: 1229.4677, usercpu_time_millis: 200.098, usercpu_time_millis_testing: 5.739, usercpu_time_millis_training: 194.359,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6452.5354, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0206, root_relative_squared_error: 0.0571, scimark_benchmark: 1231.3722, usercpu_time_millis: 329.705, usercpu_time_millis_testing: 6.611, usercpu_time_millis_training: 323.094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6447.4081, 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: 0.0358, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0603, scimark_benchmark: 1226.5587, usercpu_time_millis: 308.894, usercpu_time_millis_testing: 6.827, usercpu_time_millis_training: 302.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.6897, 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: 0.0004, root_relative_squared_error: 0.0012, scimark_benchmark: 1215.4419, usercpu_time_millis: 210.071, usercpu_time_millis_testing: 3.194, usercpu_time_millis_training: 206.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6576.8327, 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: 0.0038, root_relative_squared_error: 0.0105, scimark_benchmark: 1266.2533, usercpu_time_millis: 439.537, usercpu_time_millis_testing: 6.775, usercpu_time_millis_training: 432.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.5633, mean_absolute_error: 0.0007, 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: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0683, scimark_benchmark: 1276.6334, usercpu_time_millis: 85.187, usercpu_time_millis_testing: 1.929, usercpu_time_millis_training: 83.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.0129, 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: 1267.3687, usercpu_time_millis: 28.439, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 27.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.9916, 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: 0.0006, root_relative_squared_error: 0.0017, scimark_benchmark: 1266.4693, usercpu_time_millis: 296.273, usercpu_time_millis_testing: 4.22, usercpu_time_millis_training: 292.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.2514, mean_absolute_error: 0.0007, 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: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1220.5463, usercpu_time_millis: 86.911, usercpu_time_millis_testing: 2.156, usercpu_time_millis_training: 84.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.554, mean_absolute_error: 0.0007, 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: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1225.9753, usercpu_time_millis: 88.37, usercpu_time_millis_testing: 2.14, usercpu_time_millis_training: 86.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6517.1953, mean_absolute_error: 0.0044, 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: 0.0169, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0683, scimark_benchmark: 1266.891, usercpu_time_millis: 515.359, usercpu_time_millis_testing: 8.952, usercpu_time_millis_training: 506.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.2377, 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: 0.0005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0012, root_relative_squared_error: 0.0032, scimark_benchmark: 1228.2081, usercpu_time_millis: 533.059, usercpu_time_millis_testing: 6.289, usercpu_time_millis_training: 526.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6536.251, mean_absolute_error: 0.0032, 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: 0.0122, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0674, scimark_benchmark: 1274.7786, usercpu_time_millis: 254.347, usercpu_time_millis_testing: 4.59, usercpu_time_millis_training: 249.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.0406, 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: 0.0012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0077, root_relative_squared_error: 0.0213, scimark_benchmark: 1267.1425, usercpu_time_millis: 280.048, usercpu_time_millis_testing: 6.945, usercpu_time_millis_training: 273.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6588.6648, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0088, root_relative_squared_error: 0.0243, scimark_benchmark: 1233.7574, usercpu_time_millis: 157.477, usercpu_time_millis_testing: 4.586, usercpu_time_millis_training: 152.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6439.9381, mean_absolute_error: 0.0092, 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: 0.0353, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0287, root_relative_squared_error: 0.0794, scimark_benchmark: 1230.7841, usercpu_time_millis: 156.53, usercpu_time_millis_testing: 4.128, usercpu_time_millis_training: 152.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6566.5007, mean_absolute_error: 0.0011, 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: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0283, root_relative_squared_error: 0.0784, scimark_benchmark: 1238.7262, usercpu_time_millis: 106.426, usercpu_time_millis_testing: 4.039, usercpu_time_millis_training: 102.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6330.6273, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0344, root_relative_squared_error: 0.0952, scimark_benchmark: 1226.1404, usercpu_time_millis: 192.367, usercpu_time_millis_testing: 5.405, usercpu_time_millis_training: 186.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6585.125, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0028, root_relative_squared_error: 0.0078, scimark_benchmark: 1232.6466, usercpu_time_millis: 209.626, usercpu_time_millis_testing: 3.986, usercpu_time_millis_training: 205.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 5959.5167, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.2115, scimark_benchmark: 1269.9136, usercpu_time_millis: 493.141, usercpu_time_millis_testing: 14.978, usercpu_time_millis_training: 478.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.4827, 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: 0.0002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0016, root_relative_squared_error: 0.0045, scimark_benchmark: 1236.1729, usercpu_time_millis: 197.097, usercpu_time_millis_testing: 4.254, usercpu_time_millis_training: 192.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6427.8538, mean_absolute_error: 0.01, 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: 0.0385, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0306, root_relative_squared_error: 0.0847, scimark_benchmark: 1276.5765, usercpu_time_millis: 261.921, usercpu_time_millis_testing: 8.261, usercpu_time_millis_training: 253.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6523.6446, mean_absolute_error: 0.004, 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: 0.0153, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0249, root_relative_squared_error: 0.069, scimark_benchmark: 1268.5475, usercpu_time_millis: 427.718, usercpu_time_millis_testing: 9.103, usercpu_time_millis_training: 418.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6469.3041, mean_absolute_error: 0.0074, 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: 0.0284, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0262, root_relative_squared_error: 0.0726, scimark_benchmark: 1254.4244, usercpu_time_millis: 427.196, usercpu_time_millis_testing: 7.964, usercpu_time_millis_training: 419.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6500.3242, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0161, root_relative_squared_error: 0.0446, scimark_benchmark: 1240.9406, usercpu_time_millis: 202.354, usercpu_time_millis_testing: 3.997, usercpu_time_millis_training: 198.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6511.2815, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0145, root_relative_squared_error: 0.0403, scimark_benchmark: 1237.0194, usercpu_time_millis: 217.84, usercpu_time_millis_testing: 6.801, usercpu_time_millis_training: 211.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9648, kappa: 0.863, kb_relative_information_score: 5170.7565, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9647, predictive_accuracy: 0.9653, prior_entropy: 0.6204, recall: 0.9653, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4622, scimark_benchmark: 1270.8481, usercpu_time_millis: 699.587, usercpu_time_millis_testing: 9.048, usercpu_time_millis_training: 690.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6572.2929, 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: 0.0098, root_relative_squared_error: 0.0273, scimark_benchmark: 1202.5112, usercpu_time_millis: 329.306, usercpu_time_millis_testing: 2.835, usercpu_time_millis_training: 326.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.4307, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0054, root_relative_squared_error: 0.0148, scimark_benchmark: 1212.3789, usercpu_time_millis: 148.536, usercpu_time_millis_testing: 3.883, usercpu_time_millis_training: 144.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6539.899, mean_absolute_error: 0.0023, 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: 0.0089, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0335, root_relative_squared_error: 0.0928, scimark_benchmark: 1257.4381, usercpu_time_millis: 211.795, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 210.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9669, kappa: 0.8712, kb_relative_information_score: 5285.621, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9669, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4444, scimark_benchmark: 1208.3627, usercpu_time_millis: 714.561, usercpu_time_millis_testing: 7.207, usercpu_time_millis_training: 707.354,

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