OpenML
Supervised Classification on analcatdata_germangss

Supervised Classification on analcatdata_germangss

Task 3887 Supervised Classification analcatdata_germangss 555 runs submitted
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  • study_1 study_107 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.9038, kappa: 0.721, kb_relative_information_score: 274.9592, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9032, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.7381, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8399, kappa: 0.5233, kb_relative_information_score: 127.8247, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8388, predictive_accuracy: 0.8475, prior_entropy: 0.7716, recall: 0.8475, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.8082, scimark_benchmark: 1034.2235, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.6768, kb_relative_information_score: -305.7217, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 1.3942, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.1684, scimark_benchmark: 937.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.91, kappa: 0.7419, kb_relative_information_score: 281.4742, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.91, predictive_accuracy: 0.91, prior_entropy: 0.7716, recall: 0.91, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3, root_relative_squared_error: 0.7184, scimark_benchmark: 1340.4336, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 173.2153, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6606, scimark_benchmark: 1189.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8046, kappa: 0.3928, kb_relative_information_score: 119.1304, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8377, predictive_accuracy: 0.835, prior_entropy: 0.7716, recall: 0.835, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.323, root_relative_squared_error: 0.7734, scimark_benchmark: 1308.3432, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9038, kappa: 0.721, kb_relative_information_score: 258.1646, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9032, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.6137, scimark_benchmark: 1325.0605, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9085, kappa: 0.7335, kb_relative_information_score: 235.2616, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.908, predictive_accuracy: 0.91, prior_entropy: 0.7716, recall: 0.91, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.6095, scimark_benchmark: 1270.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8837, kappa: 0.6571, kb_relative_information_score: 183.4933, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8835, predictive_accuracy: 0.8875, prior_entropy: 0.7716, recall: 0.8875, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.6817, scimark_benchmark: 909.1698, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8923, kappa: 0.6905, kb_relative_information_score: 226.2594, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8921, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.667, scimark_benchmark: 1350.4702, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8876, kappa: 0.6716, kb_relative_information_score: 221.2521, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8868, predictive_accuracy: 0.89, prior_entropy: 0.7716, recall: 0.89, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.6877, scimark_benchmark: 898.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.8955, kappa: 0.6953, kb_relative_information_score: 254.2219, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8948, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.7438, scimark_benchmark: 1334.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.8955, kappa: 0.6953, kb_relative_information_score: 254.2219, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8948, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.7438, scimark_benchmark: 937.5996, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 937.5996, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619, scimark_benchmark: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.9073, kappa: 0.7337, kb_relative_information_score: 278.2167, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9071, predictive_accuracy: 0.9075, prior_entropy: 0.7716, recall: 0.9075, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7283, scimark_benchmark: 1360.5374, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9049, kappa: 0.7204, kb_relative_information_score: 175.1991, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.905, predictive_accuracy: 0.9075, prior_entropy: 0.7716, recall: 0.9075, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.277, root_relative_squared_error: 0.6634, scimark_benchmark: 1315.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9015, kappa: 0.7148, kb_relative_information_score: 259.8849, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9009, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.6149, scimark_benchmark: 1419.2433, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8951, kappa: 0.7179, kb_relative_information_score: -44.7001, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9113, predictive_accuracy: 0.89, prior_entropy: 0.7716, recall: 0.89, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.9047, scimark_benchmark: 1367.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8539, kappa: 0.5852, kb_relative_information_score: 115.4462, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8556, predictive_accuracy: 0.8525, prior_entropy: 0.7716, recall: 0.8525, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.7794, scimark_benchmark: 1352.1951, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 173.2153, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6606, scimark_benchmark: 1326.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9127, kappa: 0.7501, kb_relative_information_score: 267.0523, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9129, predictive_accuracy: 0.9125, prior_entropy: 0.7716, recall: 0.9125, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.6339, scimark_benchmark: 1341.7207, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8883, kappa: 0.6696, kb_relative_information_score: 197.9321, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8888, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.6555, scimark_benchmark: 899.5042, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8202, kappa: 0.4416, kb_relative_information_score: 115.7827, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8576, predictive_accuracy: 0.8475, prior_entropy: 0.7716, recall: 0.8475, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7792, scimark_benchmark: 1341.468, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9015, kappa: 0.7148, kb_relative_information_score: 259.8094, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9009, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.6147, scimark_benchmark: 1316.781, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 250.8725, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.6156, scimark_benchmark: 1366.5423, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8669, kappa: 0.5904, kb_relative_information_score: 164.6731, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8946, predictive_accuracy: 0.8825, prior_entropy: 0.7716, recall: 0.8825, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.6936, scimark_benchmark: 925.4974, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.7956, kappa: 0.3761, kb_relative_information_score: 157.6909, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.7974, predictive_accuracy: 0.815, prior_entropy: 0.7716, recall: 0.815, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4301, root_relative_squared_error: 1.03, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.1667, kappa: 0.0064, kb_relative_information_score: -565.4642, mean_absolute_error: 0.74, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6853, predictive_accuracy: 0.26, prior_entropy: 0.7716, recall: 0.26, relative_absolute_error: 2.1173, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.8602, root_relative_squared_error: 2.06, scimark_benchmark: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6768, kb_relative_information_score: -0.274, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4176, root_relative_squared_error: 1, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.6926, kappa: 0.0416, kb_relative_information_score: 4.0107, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.7045, predictive_accuracy: 0.7725, prior_entropy: 0.7716, recall: 0.7725, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9968, scimark_benchmark: 940.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8484, kappa: 0.5678, kb_relative_information_score: 160.8331, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8494, predictive_accuracy: 0.8475, prior_entropy: 0.7716, recall: 0.8475, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.8305, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 173.2153, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6606, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619, scimark_benchmark: 899.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.9046, kappa: 0.7254, kb_relative_information_score: 274.9592, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9043, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.7381, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 173.2153, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6606, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8316, kappa: 0.4809, kb_relative_information_score: 121.6493, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8535, predictive_accuracy: 0.8525, prior_entropy: 0.7716, recall: 0.8525, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.7707, scimark_benchmark: 1307.4861,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.882, kappa: 0.6539, kb_relative_information_score: 244.4672, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8812, predictive_accuracy: 0.885, prior_entropy: 0.7716, recall: 0.885, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6909, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8899, kappa: 0.6778, kb_relative_information_score: 257.9182, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8892, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.6991, scimark_benchmark: 940.2922, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8763, kappa: 0.6358, kb_relative_information_score: 241.2293, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8755, predictive_accuracy: 0.88, prior_entropy: 0.7716, recall: 0.88, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7282, scimark_benchmark: 936.7115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.874, kappa: 0.6298, kb_relative_information_score: 227.3556, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.873, predictive_accuracy: 0.8775, prior_entropy: 0.7716, recall: 0.8775, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.7675, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8109, kappa: 0.4213, kb_relative_information_score: 168.3578, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8174, predictive_accuracy: 0.83, prior_entropy: 0.7716, recall: 0.83, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.8535, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7853, kappa: 0.349, kb_relative_information_score: 127.1853, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.7827, predictive_accuracy: 0.8025, prior_entropy: 0.7716, recall: 0.8025, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.9767, scimark_benchmark: 938.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9015, kappa: 0.7148, kb_relative_information_score: 259.8094, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9009, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.6147, scimark_benchmark: 936.6206, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9038, kappa: 0.721, kb_relative_information_score: 258.1646, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9032, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.6137, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8909, kappa: 0.683, kb_relative_information_score: 250.8725, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8901, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.6156, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9085, kappa: 0.7335, kb_relative_information_score: 235.2616, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.908, predictive_accuracy: 0.91, prior_entropy: 0.7716, recall: 0.91, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.6095, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8837, kappa: 0.6571, kb_relative_information_score: 183.4933, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8835, predictive_accuracy: 0.8875, prior_entropy: 0.7716, recall: 0.8875, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.6817, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6768, kb_relative_information_score: -0.274, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4176, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9025, kappa: 0.7141, kb_relative_information_score: 254.9578, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9023, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.261, root_relative_squared_error: 0.6249, scimark_benchmark: 923.3111, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8876, kappa: 0.6716, kb_relative_information_score: 230.717, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8868, predictive_accuracy: 0.89, prior_entropy: 0.7716, recall: 0.89, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.6385, scimark_benchmark: 943.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9112, kappa: 0.742, kb_relative_information_score: 261.3226, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9107, predictive_accuracy: 0.9125, prior_entropy: 0.7716, recall: 0.9125, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.631, scimark_benchmark: 934.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6768, kb_relative_information_score: -0.274, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4176, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8837, kappa: 0.6571, kb_relative_information_score: 182.3786, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8835, predictive_accuracy: 0.8875, prior_entropy: 0.7716, recall: 0.8875, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.6837, scimark_benchmark: 943.6956, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6768, kb_relative_information_score: 105.5716, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.1359, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8937, kappa: 0.6916, kb_relative_information_score: -136.6022, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8929, predictive_accuracy: 0.895, prior_entropy: 0.7716, recall: 0.895, relative_absolute_error: 1.1194, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.398, root_relative_squared_error: 0.9532, scimark_benchmark: 934.5243, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7264, kappa: 0.1469, kb_relative_information_score: 50.2911, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8395, predictive_accuracy: 0.7975, prior_entropy: 0.7716, recall: 0.7975, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.8844, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.5819, kappa: -0.02, kb_relative_information_score: -190.8568, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.643, predictive_accuracy: 0.5475, prior_entropy: 0.7716, recall: 0.5475, relative_absolute_error: 1.2947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.6727, root_relative_squared_error: 1.6109, scimark_benchmark: 901.0726,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs