Task
Supervised Classification on letter

Supervised Classification on letter

Task 1886 Supervised Classification letter 174 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9109, kappa: 0.9073, kb_relative_information_score: 182772.8637, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 4.6998, recall: 0.9108, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.3792, scimark_benchmark: 882.7843, usercpu_time_millis: 1579230, usercpu_time_millis_testing: 3550, usercpu_time_millis_training: 1575680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9109, kappa: 0.9073, kb_relative_information_score: 182772.8637, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 4.6998, recall: 0.9108, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.3792, scimark_benchmark: 1264.0609, usercpu_time_millis: 1852610, usercpu_time_millis_testing: 3460, usercpu_time_millis_training: 1849150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8247, kappa: 0.8175, kb_relative_information_score: 164467.4348, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8249, predictive_accuracy: 0.8246, prior_entropy: 4.6998, recall: 0.8246, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.6041, scimark_benchmark: 1449.4352, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.4925, kappa: 0.4914, kb_relative_information_score: 100431.8101, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.5116, predictive_accuracy: 0.511, prior_entropy: 4.6998, recall: 0.511, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.8247, scimark_benchmark: 1342.4239, usercpu_time_millis: 50200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 50100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9109, kappa: 0.9073, kb_relative_information_score: 182772.8637, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9115, predictive_accuracy: 0.9108, prior_entropy: 4.6998, recall: 0.9108, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.3792, scimark_benchmark: 1307.3764, usercpu_time_millis: 2049060, usercpu_time_millis_testing: 3310, usercpu_time_millis_training: 2045750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9159, kappa: 0.9127, kb_relative_information_score: 182988.9103, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9162, predictive_accuracy: 0.916, prior_entropy: 4.6998, recall: 0.916, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.4179, scimark_benchmark: 1359.7347, usercpu_time_millis: 37250, usercpu_time_millis_testing: 19930, usercpu_time_millis_training: 17320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9437, kappa: 0.9414, kb_relative_information_score: 190346.0161, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9442, predictive_accuracy: 0.9436, prior_entropy: 4.6998, recall: 0.9436, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.056, root_relative_squared_error: 0.2912, scimark_benchmark: 937.1527, usercpu_time_millis: 9920, usercpu_time_millis_testing: 9150, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8973, kappa: 0.8933, kb_relative_information_score: 180773.8816, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8973, predictive_accuracy: 0.8974, prior_entropy: 4.6998, recall: 0.8974, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.4353, scimark_benchmark: 1449.4352, usercpu_time_millis: 86990, usercpu_time_millis_testing: 29030, usercpu_time_millis_training: 57960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8539, kappa: 0.8479, kb_relative_information_score: 170340.458, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8587, predictive_accuracy: 0.8537, prior_entropy: 4.6998, recall: 0.8537, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.5516, scimark_benchmark: 1292.1375, usercpu_time_millis: 938490, usercpu_time_millis_testing: 5270, usercpu_time_millis_training: 933220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9218, kappa: 0.9186, kb_relative_information_score: 185683.8019, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9219, predictive_accuracy: 0.9217, prior_entropy: 4.6998, recall: 0.9217, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.378, scimark_benchmark: 1314.0383, usercpu_time_millis: 893540, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 893320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.883, kappa: 0.8781, kb_relative_information_score: 177020.0116, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8833, predictive_accuracy: 0.8828, prior_entropy: 4.6998, recall: 0.8828, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.4661, scimark_benchmark: 932.0242, usercpu_time_millis: 3430, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 3240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9435, kappa: 0.9411, kb_relative_information_score: 166930.9665, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9445, predictive_accuracy: 0.9434, prior_entropy: 4.6998, recall: 0.9434, relative_absolute_error: 0.3553, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.4672, scimark_benchmark: 1337.6765, usercpu_time_millis: 8490, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 7480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9595, kappa: 0.9579, kb_relative_information_score: 191798.9776, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9596, predictive_accuracy: 0.9595, prior_entropy: 4.6998, recall: 0.9595, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.2901, scimark_benchmark: 1329.8847, usercpu_time_millis: 109980, usercpu_time_millis_testing: 109970, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.2014, kappa: 0.1915, kb_relative_information_score: 4816.1525, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.4494, predictive_accuracy: 0.2227, prior_entropy: 4.6998, recall: 0.2227, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.9968, scimark_benchmark: 937.5996, usercpu_time_millis: 150, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.0252, kappa: 0.0318, kb_relative_information_score: 24470.9834, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.0181, predictive_accuracy: 0.0699, prior_entropy: 4.6998, recall: 0.0699, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9905, scimark_benchmark: 1346.3935, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8778, kappa: 0.8729, kb_relative_information_score: 177206.3306, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8782, predictive_accuracy: 0.8778, prior_entropy: 4.6998, recall: 0.8778, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.4295, scimark_benchmark: 1371.9645, usercpu_time_millis: 194280, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 194170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.947, kappa: 0.9448, kb_relative_information_score: 167091.4866, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9479, predictive_accuracy: 0.9469, prior_entropy: 4.6998, recall: 0.9469, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.4649, scimark_benchmark: 1328.8457, usercpu_time_millis: 14950, usercpu_time_millis_testing: 2280, usercpu_time_millis_training: 12670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.8647, kappa: 0.8591, kb_relative_information_score: 173255.3218, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8654, predictive_accuracy: 0.8646, prior_entropy: 4.6998, recall: 0.8646, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.4545, scimark_benchmark: 1349.1028, usercpu_time_millis: 104930, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 104840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9352, kappa: 0.9324, kb_relative_information_score: 167088.0614, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9363, predictive_accuracy: 0.935, prior_entropy: 4.6998, recall: 0.935, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.4686, scimark_benchmark: 1318.5627, usercpu_time_millis: 4660, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 4190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9152, kappa: 0.9117, kb_relative_information_score: 178766.993, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.916, predictive_accuracy: 0.9151, prior_entropy: 4.6998, recall: 0.9151, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.3931, scimark_benchmark: 1168.3268, usercpu_time_millis: 19820, usercpu_time_millis_testing: 1610, usercpu_time_millis_training: 18210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9752, kappa: 0.9742, kb_relative_information_score: 194969.8637, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 4.6998, recall: 0.9752, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.2271, scimark_benchmark: 1318.5627, usercpu_time_millis: 111120, usercpu_time_millis_testing: 65630, usercpu_time_millis_training: 45490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9134, kappa: 0.9098, kb_relative_information_score: 178643.2659, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9142, predictive_accuracy: 0.9132, prior_entropy: 4.6998, recall: 0.9132, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.076, root_relative_squared_error: 0.3954, scimark_benchmark: 1351.6526, usercpu_time_millis: 14210, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 13360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9094, kappa: 0.9055, kb_relative_information_score: 178386.3694, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9101, predictive_accuracy: 0.9092, prior_entropy: 4.6998, recall: 0.9092, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.4001, scimark_benchmark: 1313.6093, usercpu_time_millis: 6620, usercpu_time_millis_testing: 710, usercpu_time_millis_training: 5910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.913, kappa: 0.9093, kb_relative_information_score: 184764.5067, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9143, predictive_accuracy: 0.9128, prior_entropy: 4.6998, recall: 0.9128, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.3627, scimark_benchmark: 1351.6526, usercpu_time_millis: 590, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.7959, kappa: 0.7875, kb_relative_information_score: 160074.0124, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.7962, predictive_accuracy: 0.7957, prior_entropy: 4.6998, recall: 0.7957, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.119, root_relative_squared_error: 0.6188, scimark_benchmark: 1331.9839, usercpu_time_millis: 2520, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.7888, kappa: 0.7801, kb_relative_information_score: 160972.3715, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.7898, predictive_accuracy: 0.7886, prior_entropy: 4.6998, recall: 0.7886, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5954, scimark_benchmark: 1386.5717, usercpu_time_millis: 480, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.6374, kappa: 0.6263, kb_relative_information_score: 137466.5001, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.6556, predictive_accuracy: 0.6407, prior_entropy: 4.6998, recall: 0.6407, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.7232, scimark_benchmark: 1358.4523, usercpu_time_millis: 2360, usercpu_time_millis_testing: 2290, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.221, kappa: 0.2312, kb_relative_information_score: 44486.7146, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.2227, predictive_accuracy: 0.2609, prior_entropy: 4.6998, recall: 0.2609, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.9505, scimark_benchmark: 1334.9657, usercpu_time_millis: 1740, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.7731, kappa: 0.765, kb_relative_information_score: 156097.4853, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.7732, predictive_accuracy: 0.7741, prior_entropy: 4.6998, recall: 0.7741, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.5861, scimark_benchmark: 938.0414, usercpu_time_millis: 112130, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 111310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9587, kappa: 0.957, kb_relative_information_score: 192945.6531, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9588, predictive_accuracy: 0.9586, prior_entropy: 4.6998, recall: 0.9586, relative_absolute_error: 0.065, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.253, scimark_benchmark: 1334.8495, usercpu_time_millis: 1635650, usercpu_time_millis_testing: 1635650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.0032, kb_relative_information_score: 16.7818, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.0017, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 1342.5243, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.6547, kappa: 0.6343, kb_relative_information_score: 94255.2326, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.6774, predictive_accuracy: 0.6484, prior_entropy: 4.6998, recall: 0.6484, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.8057, scimark_benchmark: 1264.6103, usercpu_time_millis: 13350, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 13250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8666, kappa: 0.8574, kb_relative_information_score: 170860.5607, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8758, predictive_accuracy: 0.8629, prior_entropy: 4.6998, recall: 0.8629, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.4923, scimark_benchmark: 1301.9956, usercpu_time_millis: 84200, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 83970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.6412, kappa: 0.6299, kb_relative_information_score: 138003.0606, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.6572, predictive_accuracy: 0.6442, prior_entropy: 4.6998, recall: 0.6442, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.7241, scimark_benchmark: 918.6005, usercpu_time_millis: 3540, usercpu_time_millis_testing: 1690, usercpu_time_millis_training: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.4925, kappa: 0.4914, kb_relative_information_score: 100431.8101, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.5116, predictive_accuracy: 0.511, prior_entropy: 4.6998, recall: 0.511, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.8247, scimark_benchmark: 1321.8733, usercpu_time_millis: 27070, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 26970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8376, kappa: 0.8309, kb_relative_information_score: 166757.1485, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8388, predictive_accuracy: 0.8374, prior_entropy: 4.6998, recall: 0.8374, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.4973, scimark_benchmark: 1341.7207, usercpu_time_millis: 43970, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 43880,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8799, kappa: 0.8749, kb_relative_information_score: 176542.4635, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8803, predictive_accuracy: 0.8797, prior_entropy: 4.6998, recall: 0.8797, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4705, scimark_benchmark: 977.6382, usercpu_time_millis: 1590, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 198.0803, build_memory: 1658731260.16, f_measure: 0.942, kappa: 0.9396, kb_relative_information_score: 184593.1559, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9422, predictive_accuracy: 0.942, prior_entropy: 4.6998, recall: 0.942, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.3372, scimark_benchmark: 948.3014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 145.2284, build_memory: 987329478.8, f_measure: 0.9409, kappa: 0.9385, kb_relative_information_score: 184534.1368, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 4.6998, recall: 0.9409, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.3386, scimark_benchmark: 940.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 46.2537, build_memory: 4305508075.92, f_measure: 0.9388, kappa: 0.9362, kb_relative_information_score: 184418.1765, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.939, predictive_accuracy: 0.9387, prior_entropy: 4.6998, recall: 0.9387, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.3417, scimark_benchmark: 948.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 29.7387, build_memory: 1207638656.32, f_measure: 0.9346, kappa: 0.9319, kb_relative_information_score: 184180.3046, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.9349, predictive_accuracy: 0.9346, prior_entropy: 4.6998, recall: 0.9346, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.3478, scimark_benchmark: 946.8792,

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