OpenML
Supervised Classification on letter

Supervised Classification on letter

Task 236 Supervised Classification letter 182 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9001, kappa: 0.8955, kb_relative_information_score: 5786.0382, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9022, predictive_accuracy: 0.8995, prior_entropy: 4.6998, recall: 0.8995, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.4209, scimark_benchmark: 1347.5461, usercpu_time_millis: 12260, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 11360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9256, kappa: 0.9225, kb_relative_information_score: 5363.6701, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9276, predictive_accuracy: 0.9255, prior_entropy: 4.6998, recall: 0.9255, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.096, root_relative_squared_error: 0.4994, scimark_benchmark: 1342.1678, usercpu_time_millis: 7110, usercpu_time_millis_testing: 1250, usercpu_time_millis_training: 5860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.0098, kappa: 0.0309, kb_relative_information_score: 804.7099, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.0053, predictive_accuracy: 0.0673, prior_entropy: 4.6998, recall: 0.0673, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9909, scimark_benchmark: 1449.4352, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9382, kappa: 0.9355, kb_relative_information_score: 5379.9837, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9399, predictive_accuracy: 0.938, prior_entropy: 4.6998, recall: 0.938, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.4933, scimark_benchmark: 1327.5791, usercpu_time_millis: 48150, usercpu_time_millis_testing: 6820, usercpu_time_millis_training: 41330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8362, kappa: 0.8293, kb_relative_information_score: 5480.2761, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8381, predictive_accuracy: 0.8359, prior_entropy: 4.6998, recall: 0.8359, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.5029, scimark_benchmark: 1348.7888, usercpu_time_millis: 51120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 51030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.7884, kappa: 0.7792, kb_relative_information_score: 5172.1468, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7914, predictive_accuracy: 0.7877, prior_entropy: 4.6998, recall: 0.7877, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.5591, scimark_benchmark: 1320.9366, usercpu_time_millis: 25720, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 25630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.93, kappa: 0.9272, kb_relative_information_score: 6209.8203, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9309, predictive_accuracy: 0.93, prior_entropy: 4.6998, recall: 0.93, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.3208, scimark_benchmark: 854.5188, usercpu_time_millis: 10800, usercpu_time_millis_testing: 9890, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7708, kappa: 0.7611, kb_relative_information_score: 5204.1161, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7727, predictive_accuracy: 0.7703, prior_entropy: 4.6998, recall: 0.7703, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6207, scimark_benchmark: 1347.388, usercpu_time_millis: 400, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8942, kappa: 0.8902, kb_relative_information_score: 5892.9787, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8953, predictive_accuracy: 0.8944, prior_entropy: 4.6998, recall: 0.8944, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.4687, scimark_benchmark: 1151.6869, usercpu_time_millis: 36720, usercpu_time_millis_testing: 19570, usercpu_time_millis_training: 17150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9661, kappa: 0.9647, kb_relative_information_score: 6372.4932, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9664, predictive_accuracy: 0.9661, prior_entropy: 4.6998, recall: 0.9661, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.2657, scimark_benchmark: 932.0242, usercpu_time_millis: 103210, usercpu_time_millis_testing: 51690, usercpu_time_millis_training: 51520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9428, kappa: 0.9404, kb_relative_information_score: 6291.7776, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9432, predictive_accuracy: 0.9427, prior_entropy: 4.6998, recall: 0.9427, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.2949, scimark_benchmark: 1319.4881, usercpu_time_millis: 1634240, usercpu_time_millis_testing: 1634240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9501, kappa: 0.948, kb_relative_information_score: 6269.8838, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9504, predictive_accuracy: 0.95, prior_entropy: 4.6998, recall: 0.95, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.3182, scimark_benchmark: 1305.7231, usercpu_time_millis: 27880, usercpu_time_millis_testing: 27880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.2212, kappa: 0.2096, kb_relative_information_score: 163.0601, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.4807, predictive_accuracy: 0.24, prior_entropy: 4.6998, recall: 0.24, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.9967, scimark_benchmark: 1327.3602, usercpu_time_millis: 120, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.0098, kappa: 0.0309, kb_relative_information_score: 812.3208, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.0053, predictive_accuracy: 0.0673, prior_entropy: 4.6998, recall: 0.0673, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9909, scimark_benchmark: 1339.4964, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8413, kappa: 0.8295, kb_relative_information_score: 5450.2132, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8552, predictive_accuracy: 0.8361, prior_entropy: 4.6998, recall: 0.8361, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.534, scimark_benchmark: 1328.941, usercpu_time_millis: 76110, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 75900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8475, kappa: 0.8407, kb_relative_information_score: 5583.9121, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8503, predictive_accuracy: 0.8468, prior_entropy: 4.6998, recall: 0.8468, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.5234, scimark_benchmark: 1321.5205, usercpu_time_millis: 45540, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 45490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9172, kappa: 0.9138, kb_relative_information_score: 5335.2512, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9194, predictive_accuracy: 0.9171, prior_entropy: 4.6998, recall: 0.9171, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.5068, scimark_benchmark: 1318.5627, usercpu_time_millis: 4340, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 3780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.8721, kappa: 0.8668, kb_relative_information_score: 5816.866, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.873, predictive_accuracy: 0.872, prior_entropy: 4.6998, recall: 0.872, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.4398, scimark_benchmark: 943.1756, usercpu_time_millis: 306400, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 306280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8608, kappa: 0.855, kb_relative_information_score: 5692.9179, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8618, predictive_accuracy: 0.8606, prior_entropy: 4.6998, recall: 0.8606, relative_absolute_error: 0.2398, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.4623, scimark_benchmark: 1332.576, usercpu_time_millis: 89790, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 89680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9021, kappa: 0.8977, kb_relative_information_score: 5790.6473, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9041, predictive_accuracy: 0.9017, prior_entropy: 4.6998, recall: 0.9017, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.4182, scimark_benchmark: 1270.2428, usercpu_time_millis: 22610, usercpu_time_millis_testing: 1860, usercpu_time_millis_training: 20750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.894, kappa: 0.8892, kb_relative_information_score: 5775.3476, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.896, predictive_accuracy: 0.8935, prior_entropy: 4.6998, recall: 0.8935, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.4255, scimark_benchmark: 1367.506, usercpu_time_millis: 5420, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 4950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8877, kappa: 0.8827, kb_relative_information_score: 5763.8699, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8898, predictive_accuracy: 0.8873, prior_entropy: 4.6998, recall: 0.8873, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.4327, scimark_benchmark: 1337.6765, usercpu_time_millis: 3460, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 3200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9009, kappa: 0.8966, kb_relative_information_score: 6039.3136, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.903, predictive_accuracy: 0.9006, prior_entropy: 4.6998, recall: 0.9006, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.382, scimark_benchmark: 994.8259, usercpu_time_millis: 600, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.7733, kappa: 0.7641, kb_relative_information_score: 5122.9479, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7746, predictive_accuracy: 0.7732, prior_entropy: 4.6998, recall: 0.7732, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6559, scimark_benchmark: 1315.3709, usercpu_time_millis: 2100, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.7733, kappa: 0.7641, kb_relative_information_score: 5122.9479, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7746, predictive_accuracy: 0.7732, prior_entropy: 4.6998, recall: 0.7732, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6559, scimark_benchmark: 1360.2771, usercpu_time_millis: 2440, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7708, kappa: 0.7611, kb_relative_information_score: 5204.1161, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7727, predictive_accuracy: 0.7703, prior_entropy: 4.6998, recall: 0.7703, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6207, scimark_benchmark: 1350.9691, usercpu_time_millis: 520, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.6336, kappa: 0.6214, kb_relative_information_score: 4512.9976, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.6526, predictive_accuracy: 0.6361, prior_entropy: 4.6998, recall: 0.6361, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.7272, scimark_benchmark: 1297.6356, usercpu_time_millis: 2360, usercpu_time_millis_testing: 2280, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.6336, kappa: 0.6214, kb_relative_information_score: 4512.9976, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.6526, predictive_accuracy: 0.6361, prior_entropy: 4.6998, recall: 0.6361, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.7272, scimark_benchmark: 1301.9176, usercpu_time_millis: 2340, usercpu_time_millis_testing: 2280, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.2149, kappa: 0.2464, kb_relative_information_score: 1616.519, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.1926, predictive_accuracy: 0.2748, prior_entropy: 4.6998, recall: 0.2748, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.9468, scimark_benchmark: 1413.089, usercpu_time_millis: 2010, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8151, kappa: 0.806, kb_relative_information_score: 5405.8007, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8242, predictive_accuracy: 0.8135, prior_entropy: 4.6998, recall: 0.8135, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.582, scimark_benchmark: 1333.5799, usercpu_time_millis: 295010, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 294710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.7697, kappa: 0.762, kb_relative_information_score: 5133.5143, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.7702, predictive_accuracy: 0.7712, prior_entropy: 4.6998, recall: 0.7712, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.5911, scimark_benchmark: 1419.2433, usercpu_time_millis: 126040, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 124920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9509, kappa: 0.9488, kb_relative_information_score: 6270.3748, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9511, predictive_accuracy: 0.9508, prior_entropy: 4.6998, recall: 0.9508, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.32, scimark_benchmark: 1334.8272, usercpu_time_millis: 154680, usercpu_time_millis_testing: 154680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.5996, kappa: 0.5911, kb_relative_information_score: 915.2613, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.6477, predictive_accuracy: 0.6068, prior_entropy: 4.6998, recall: 0.6068, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.975, scimark_benchmark: 1340.1351, usercpu_time_millis: 540, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8289, kappa: 0.8219, kb_relative_information_score: 5454.2275, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8367, predictive_accuracy: 0.8288, prior_entropy: 4.6998, recall: 0.8288, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5968, scimark_benchmark: 1341.994, usercpu_time_millis: 1027760, usercpu_time_millis_testing: 5380, usercpu_time_millis_training: 1022380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.6475, kappa: 0.6173, kb_relative_information_score: 2704.7712, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.6875, predictive_accuracy: 0.632, prior_entropy: 4.6998, recall: 0.632, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.162, root_relative_squared_error: 0.8426, scimark_benchmark: 1310.934, usercpu_time_millis: 14820, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 14700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8012, kappa: 0.7934, kb_relative_information_score: 5271.3985, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8016, predictive_accuracy: 0.8014, prior_entropy: 4.6998, recall: 0.8014, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.6428, scimark_benchmark: 932.0242, usercpu_time_millis: 190, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 52108.211, build_memory: 374549880, f_measure: 0.9495, kappa: 0.9474, kb_relative_information_score: 6204.8728, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9501, predictive_accuracy: 0.9494, prior_entropy: 4.6998, recall: 0.9494, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.3034, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 102422.144, build_memory: 569931704, f_measure: 0.9474, kappa: 0.9452, kb_relative_information_score: 6204.5318, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.948, predictive_accuracy: 0.9473, prior_entropy: 4.6998, recall: 0.9473, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.3032, scimark_benchmark: 946.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 102559.218, build_memory: 716402984, f_measure: 0.9474, kappa: 0.9452, kb_relative_information_score: 6204.5318, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.948, predictive_accuracy: 0.9473, prior_entropy: 4.6998, recall: 0.9473, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.3032, scimark_benchmark: 943.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 474.021, build_memory: 2918655416, f_measure: 0.9178, kappa: 0.9144, kb_relative_information_score: 5892.7067, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9186, predictive_accuracy: 0.9177, prior_entropy: 4.6998, recall: 0.9177, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.3964, scimark_benchmark: 942.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 6421.238, build_memory: 860278752, f_measure: 0.9406, kappa: 0.9381, kb_relative_information_score: 5943.056, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9416, predictive_accuracy: 0.9405, prior_entropy: 4.6998, recall: 0.9405, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.3667, scimark_benchmark: 921.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 124.93, build_memory: 1648493816, f_measure: 0.9282, kappa: 0.9253, kb_relative_information_score: 5999.3069, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9289, predictive_accuracy: 0.9282, prior_entropy: 4.6998, recall: 0.9282, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.3646, scimark_benchmark: 947.1666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 78.865, build_memory: 2769730720, f_measure: 0.9274, kappa: 0.9244, kb_relative_information_score: 5998.9121, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9281, predictive_accuracy: 0.9273, prior_entropy: 4.6998, recall: 0.9273, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.3653, scimark_benchmark: 937.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 33.145, build_memory: 197452032, f_measure: 0.9256, kappa: 0.9225, kb_relative_information_score: 5997.5152, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9266, predictive_accuracy: 0.9255, prior_entropy: 4.6998, recall: 0.9255, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.3678, scimark_benchmark: 947.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 20.998, build_memory: 3083816848, f_measure: 0.9209, kappa: 0.9176, kb_relative_information_score: 5992.0684, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9217, predictive_accuracy: 0.9208, prior_entropy: 4.6998, recall: 0.9208, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.3728, scimark_benchmark: 926.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 21.204, build_memory: 998983864, f_measure: 0.9209, kappa: 0.9176, kb_relative_information_score: 5992.0684, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.9217, predictive_accuracy: 0.9208, prior_entropy: 4.6998, recall: 0.9208, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.3728, scimark_benchmark: 895.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, build_cpu_time: 1.445, build_memory: 1780384400, f_measure: 0.8593, kappa: 0.8533, kb_relative_information_score: 5703.8615, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8609, predictive_accuracy: 0.8589, prior_entropy: 4.6998, recall: 0.8589, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.5063, scimark_benchmark: 936.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, build_cpu_time: 1.086, build_memory: 340359728, f_measure: 0.8593, kappa: 0.8533, kb_relative_information_score: 5703.8615, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.074, number_of_instances: 6600, precision: 0.8609, predictive_accuracy: 0.8589, prior_entropy: 4.6998, recall: 0.8589, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.5063, scimark_benchmark: 946.7757,

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

OpenML bootcamp

From your own software

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

OpenML APIs