OpenML
Supervised Classification on visualizing_soil

Supervised Classification on visualizing_soil

Task 3786 Supervised Classification visualizing_soil 545 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9986, kappa: 0.9972, kb_relative_information_score: 8616.6203, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.9928, recall: 0.9986, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.0749, scimark_benchmark: 923.6051, usercpu_time_millis: 10450, usercpu_time_millis_testing: 10450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3904, kb_relative_information_score: -0.0152, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.3026, predictive_accuracy: 0.5501, prior_entropy: 0.9928, recall: 0.5501, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4975, root_relative_squared_error: 1, scimark_benchmark: 765.566, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9997, kappa: 0.9993, kb_relative_information_score: 8634.8832, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9928, recall: 0.9997, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0186, root_relative_squared_error: 0.0375, scimark_benchmark: 1313.6093, usercpu_time_millis: 1000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8634.7647, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 1189.3734, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.992, kappa: 0.9839, kb_relative_information_score: 5493.689, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9928, recall: 0.992, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.4961, scimark_benchmark: 1308.3432, usercpu_time_millis: 770, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8531.7303, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0142, root_relative_squared_error: 0.0286, scimark_benchmark: 909.1698, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8637.8329, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0096, root_relative_squared_error: 0.0193, scimark_benchmark: 1301.1661, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8637.5303, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0093, root_relative_squared_error: 0.0187, scimark_benchmark: 1316.7714, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9803, kappa: 0.9603, kb_relative_information_score: 8296.0052, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9928, recall: 0.9803, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2819, scimark_benchmark: 818.6501, usercpu_time_millis: 8390, usercpu_time_millis_testing: 2240, usercpu_time_millis_training: 6150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9986, kappa: 0.9972, kb_relative_information_score: 8615.1906, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.9928, recall: 0.9986, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0351, root_relative_squared_error: 0.0705, scimark_benchmark: 1340.9946, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9986, kappa: 0.9972, kb_relative_information_score: 8615.1906, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.9928, recall: 0.9986, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0351, root_relative_squared_error: 0.0705, scimark_benchmark: 922.1419, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 8610.7484, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9928, recall: 0.9985, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.039, root_relative_squared_error: 0.0784, scimark_benchmark: 1334.8495, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9463, kappa: 0.8913, kb_relative_information_score: 6961.5818, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9515, predictive_accuracy: 0.9468, prior_entropy: 0.9928, recall: 0.9468, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3895, scimark_benchmark: 1330.7934, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9973, kappa: 0.9946, kb_relative_information_score: 8594.299, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.9928, recall: 0.9973, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1037, scimark_benchmark: 1319.9329, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 8159.3357, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9928, recall: 0.9964, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.1802, scimark_benchmark: 1313.9606, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9993, kb_relative_information_score: 8628.4338, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9928, recall: 0.9997, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0174, root_relative_squared_error: 0.0351, scimark_benchmark: 1334.8495, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 5874.2369, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.5003, scimark_benchmark: 1341.994, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8829, kappa: 0.7693, kb_relative_information_score: 5642.5094, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9071, predictive_accuracy: 0.8831, prior_entropy: 0.9928, recall: 0.8831, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6125, scimark_benchmark: 1300.7817, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9992, kappa: 0.9984, kb_relative_information_score: 8546.1084, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.9928, recall: 0.9992, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0298, root_relative_squared_error: 0.0599, scimark_benchmark: 1329.0992, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9995, kappa: 0.9991, kb_relative_information_score: 8583.0116, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9928, recall: 0.9995, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0228, root_relative_squared_error: 0.0459, scimark_benchmark: 1332.2926, usercpu_time_millis: 470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.9406, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 1307.7326, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.9124, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306, scimark_benchmark: 1353.1316, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8606.3896, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0113, root_relative_squared_error: 0.0227, scimark_benchmark: 1339.4189, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.8895, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.008, root_relative_squared_error: 0.016, scimark_benchmark: 942.6843, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9925, kappa: 0.9848, kb_relative_information_score: 5331.3965, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.9928, recall: 0.9925, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5176, scimark_benchmark: 1338.9143, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.9401, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 1373.2982, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 8610.7484, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9928, recall: 0.9985, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.039, root_relative_squared_error: 0.0784, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9463, kappa: 0.8913, kb_relative_information_score: 6961.5852, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9515, predictive_accuracy: 0.9468, prior_entropy: 0.9928, recall: 0.9468, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3895, scimark_benchmark: 1386.5717, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9986, kappa: 0.9972, kb_relative_information_score: 8615.005, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.9928, recall: 0.9986, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.0749, scimark_benchmark: 1304.9611, usercpu_time_millis: 4490, usercpu_time_millis_testing: 4490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.4058, kappa: 0.017, kb_relative_information_score: 1112.1844, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.7546, predictive_accuracy: 0.557, prior_entropy: 0.9928, recall: 0.557, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9079, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.6185, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 1339.4189, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8634.7647, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 880.8372, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8637.5016, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0129, root_relative_squared_error: 0.026, scimark_benchmark: 906.4475, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8829, kappa: 0.7693, kb_relative_information_score: 5626.5898, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9071, predictive_accuracy: 0.8831, prior_entropy: 0.9928, recall: 0.8831, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6124, scimark_benchmark: 912.5006, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9986, kb_relative_information_score: 8596.1117, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9928, recall: 0.9993, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0294, root_relative_squared_error: 0.059, scimark_benchmark: 1336.2976, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.9002, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 936.6206, usercpu_time_millis: 590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.2286, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 922.9039, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8396.8827, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1053, scimark_benchmark: 938.4285, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.979, kappa: 0.9576, kb_relative_information_score: 8333.4662, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9799, predictive_accuracy: 0.9789, prior_entropy: 0.9928, recall: 0.9789, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2457, scimark_benchmark: 933.8635, usercpu_time_millis: 1810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8640.8839, mean_absolute_error: 0, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9928, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0006, root_relative_squared_error: 0.0013, scimark_benchmark: 924.6116, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.9401, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 945.6434, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8635.1964, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 947.9494, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8531.7303, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0142, root_relative_squared_error: 0.0286, scimark_benchmark: 931.2336, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3904, kb_relative_information_score: -0.0152, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.3026, predictive_accuracy: 0.5501, prior_entropy: 0.9928, recall: 0.5501, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4975, root_relative_squared_error: 1, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9984, kb_relative_information_score: 8625.4885, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.9928, recall: 0.9992, relative_absolute_error: 0.0019, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0204, root_relative_squared_error: 0.041, scimark_benchmark: 943.2745, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8638.9416, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 930.32, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8639.2659, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0086, root_relative_squared_error: 0.0173, scimark_benchmark: 929.566, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8528.4543, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0191, root_relative_squared_error: 0.0384, scimark_benchmark: 929.566, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8531.7303, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0142, root_relative_squared_error: 0.0286, scimark_benchmark: 911.0478, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3904, kb_relative_information_score: 751.4057, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.3026, predictive_accuracy: 0.5501, prior_entropy: 0.9928, recall: 0.5501, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3483, scimark_benchmark: 901.0726, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.9124, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306, scimark_benchmark: 904.3001, usercpu_time_millis: 140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 6450.5191, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3526, scimark_benchmark: 947.9494, usercpu_time_millis: 9740, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 9670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8827, kappa: 0.7688, kb_relative_information_score: 5625.6858, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9066, predictive_accuracy: 0.8829, prior_entropy: 0.9928, recall: 0.8829, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6126, scimark_benchmark: 917.7039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9986, kappa: 0.9972, kb_relative_information_score: 8606.1805, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.9928, recall: 0.9986, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.0698, scimark_benchmark: 945.6434, usercpu_time_millis: 172630, usercpu_time_millis_testing: 172540, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.9124, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306, scimark_benchmark: 889.9795, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8636.9124, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9928, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306, scimark_benchmark: 915.2795, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8638.826, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9928, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0068, root_relative_squared_error: 0.0137, scimark_benchmark: 942.6953, usercpu_time_millis: 1750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.5503, kappa: 0.1869, kb_relative_information_score: 1838.7055, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.7347, predictive_accuracy: 0.6264, prior_entropy: 0.9928, recall: 0.6264, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.586, root_relative_squared_error: 1.1779, scimark_benchmark: 947.0793, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8634.7647, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9928, recall: 0.9999, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0216, scimark_benchmark: 931.4202, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9977, kappa: 0.9953, kb_relative_information_score: 8558.45, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.9928, recall: 0.9977, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.0855, scimark_benchmark: 923.9763, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9631, kappa: 0.9253, kb_relative_information_score: 7997.7115, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9656, predictive_accuracy: 0.9633, prior_entropy: 0.9928, recall: 0.9633, relative_absolute_error: 0.0741, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.385, scimark_benchmark: 935.8986, usercpu_time_millis: 61950, usercpu_time_millis_testing: 3380, usercpu_time_millis_training: 58570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9973, kappa: 0.9946, kb_relative_information_score: 8594.299, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.495, number_of_instances: 8641, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.9928, recall: 0.9973, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1037, scimark_benchmark: 947.4269, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,

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

How to submit runs

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Download this task directly in your environment and automatically upload your results

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

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