Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 261 Supervised Classification credit-g 225 runs submitted
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  • bandit_run testtesttest under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7267, kappa: 0.3209, kb_relative_information_score: 58.6684, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7474, predictive_accuracy: 0.7576, prior_entropy: 0.8818, recall: 0.7576, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8921, scimark_benchmark: 937.1527, usercpu_time_millis: 310, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7326, kappa: 0.3556, kb_relative_information_score: 77.7215, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.73, predictive_accuracy: 0.7364, prior_entropy: 0.8818, recall: 0.7364, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8952, scimark_benchmark: 1368.9272, usercpu_time_millis: 1300, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6977, kappa: 0.2753, kb_relative_information_score: 42.2122, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6958, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9825, scimark_benchmark: 1343.6648, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6977, kappa: 0.2753, kb_relative_information_score: 42.2122, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6958, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9825, scimark_benchmark: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.5765, kb_relative_information_score: 18.6647, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9483, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7267, kappa: 0.3209, kb_relative_information_score: 58.6684, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7474, predictive_accuracy: 0.7576, prior_entropy: 0.8818, recall: 0.7576, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8921, scimark_benchmark: 1322.7257, usercpu_time_millis: 210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7356, kappa: 0.3505, kb_relative_information_score: 91.206, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7341, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9428, scimark_benchmark: 1346.9602, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.6999, kappa: 0.2548, kb_relative_information_score: 69.1734, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7232, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9108, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.7054, kappa: 0.291, kb_relative_information_score: 53.7599, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7026, predictive_accuracy: 0.7091, prior_entropy: 0.8818, recall: 0.7091, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.0602, scimark_benchmark: 1066.833, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7495, kappa: 0.3857, kb_relative_information_score: 72.2006, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7484, predictive_accuracy: 0.7606, prior_entropy: 0.8818, recall: 0.7606, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8914, scimark_benchmark: 1372.2145, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7448, kappa: 0.3797, kb_relative_information_score: 78.6254, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7419, predictive_accuracy: 0.7515, prior_entropy: 0.8818, recall: 0.7515, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8898, scimark_benchmark: 1280.6952, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7555, kappa: 0.4078, kb_relative_information_score: 78.6848, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7529, predictive_accuracy: 0.7606, prior_entropy: 0.8818, recall: 0.7606, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8859, scimark_benchmark: 915.6729, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.6652, kappa: 0.1681, kb_relative_information_score: 50.3381, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6708, predictive_accuracy: 0.7061, prior_entropy: 0.8818, recall: 0.7061, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9794, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.513, f_measure: 0.607, kappa: 0.0331, kb_relative_information_score: 61.8405, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6066, predictive_accuracy: 0.6818, prior_entropy: 0.8818, recall: 0.6818, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5641, root_relative_squared_error: 1.2309, scimark_benchmark: 1368.9272, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.6246, kappa: 0.0682, kb_relative_information_score: 43.9754, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6136, predictive_accuracy: 0.6606, prior_entropy: 0.8818, recall: 0.6606, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5826, root_relative_squared_error: 1.2713, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.6906, kappa: 0.2563, kb_relative_information_score: 58.1622, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6879, predictive_accuracy: 0.6939, prior_entropy: 0.8818, recall: 0.6939, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0909, scimark_benchmark: 1341.2341, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.7008, kappa: 0.2772, kb_relative_information_score: 82.2578, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6972, predictive_accuracy: 0.7061, prior_entropy: 0.8818, recall: 0.7061, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5422, root_relative_squared_error: 1.1831, scimark_benchmark: 1372.2145, usercpu_time_millis: 340, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.7329, kappa: 0.3398, kb_relative_information_score: 61.1523, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7358, predictive_accuracy: 0.7515, prior_entropy: 0.8818, recall: 0.7515, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.935, scimark_benchmark: 1346.9602, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7458, kappa: 0.3888, kb_relative_information_score: 58.3793, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7437, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9287, scimark_benchmark: 1307.8775, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.6713, kappa: 0.193, kb_relative_information_score: 44.8833, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7455, predictive_accuracy: 0.7364, prior_entropy: 0.8818, recall: 0.7364, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9081, scimark_benchmark: 1356.9539, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.6489, kappa: 0.1278, kb_relative_information_score: 71.6641, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6508, predictive_accuracy: 0.6939, prior_entropy: 0.8818, recall: 0.6939, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.1163, scimark_benchmark: 1332.0036, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7254, kappa: 0.325, kb_relative_information_score: 61.3549, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7234, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.9118, scimark_benchmark: 1312.0581, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7267, kappa: 0.3209, kb_relative_information_score: 58.6684, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7474, predictive_accuracy: 0.7576, prior_entropy: 0.8818, recall: 0.7576, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8921, scimark_benchmark: 1345.7204, usercpu_time_millis: 220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7028, kappa: 0.2649, kb_relative_information_score: 13.1018, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7022, predictive_accuracy: 0.7242, prior_entropy: 0.8818, recall: 0.7242, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9433, scimark_benchmark: 1371.9645, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7411, kappa: 0.3703, kb_relative_information_score: 91.3089, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7381, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9134, scimark_benchmark: 1297.2338, usercpu_time_millis: 25470, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 25100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.1407, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 77.1535, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952, scimark_benchmark: 1028.5889, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7411, kappa: 0.3703, kb_relative_information_score: 91.3089, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7381, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9134, scimark_benchmark: 1324.8395, usercpu_time_millis: 29300, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 28920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7326, kappa: 0.3556, kb_relative_information_score: 77.7215, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.73, predictive_accuracy: 0.7364, prior_entropy: 0.8818, recall: 0.7364, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8952, scimark_benchmark: 912.5006, usercpu_time_millis: 800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, f_measure: 0.7091, kappa: 0.3074, kb_relative_information_score: 66.3053, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.8818, recall: 0.7091, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.1756, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 77.1535, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952, scimark_benchmark: 1304.9611, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7323, kappa: 0.3495, kb_relative_information_score: 74.5988, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.729, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9201, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.7168, kappa: 0.3165, kb_relative_information_score: 95.0187, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7137, predictive_accuracy: 0.7212, prior_entropy: 0.8818, recall: 0.7212, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.528, root_relative_squared_error: 1.1522, scimark_benchmark: 1287.514, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7028, kappa: 0.2649, kb_relative_information_score: 13.1018, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7022, predictive_accuracy: 0.7242, prior_entropy: 0.8818, recall: 0.7242, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9433, scimark_benchmark: 1320.9387, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6977, kappa: 0.2753, kb_relative_information_score: 42.2122, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6958, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9825, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.6761, kappa: 0.2089, kb_relative_information_score: 50.2867, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6701, predictive_accuracy: 0.6879, prior_entropy: 0.8818, recall: 0.6879, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5426, root_relative_squared_error: 1.184, scimark_benchmark: 1314.0383, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 90.4625, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.9183, scimark_benchmark: 1307.7326, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7028, kappa: 0.2649, kb_relative_information_score: 13.1018, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7022, predictive_accuracy: 0.7242, prior_entropy: 0.8818, recall: 0.7242, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9433, scimark_benchmark: 1324.3755, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.5691, kappa: -0.0297, kb_relative_information_score: 64.3927, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.4868, predictive_accuracy: 0.6848, prior_entropy: 0.8818, recall: 0.6848, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.225, scimark_benchmark: 1315.933, usercpu_time_millis: 1110, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7323, kappa: 0.3495, kb_relative_information_score: 74.5988, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.729, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9201, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6977, kappa: 0.2753, kb_relative_information_score: 42.2122, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6958, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9825, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7419, kappa: 0.3662, kb_relative_information_score: 53.9716, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.741, predictive_accuracy: 0.7545, prior_entropy: 0.8818, recall: 0.7545, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8928, scimark_benchmark: 1334.9657, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.7448, kappa: 0.3797, kb_relative_information_score: 120.5403, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7419, predictive_accuracy: 0.7515, prior_entropy: 0.8818, recall: 0.7515, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0878, scimark_benchmark: 1339.944, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.6936, kappa: 0.2579, kb_relative_information_score: 77.1535, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6893, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952, scimark_benchmark: 1342.5243, usercpu_time_millis: 350, usercpu_time_millis_testing: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.6936, kappa: 0.2579, kb_relative_information_score: 76.8319, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6893, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.1935, scimark_benchmark: 1307.3269, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.5765, kb_relative_information_score: 22.9141, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9417, scimark_benchmark: 1367.8403, usercpu_time_millis: 2020, usercpu_time_millis_testing: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.6761, kappa: 0.2089, kb_relative_information_score: 50.2867, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6701, predictive_accuracy: 0.6879, prior_entropy: 0.8818, recall: 0.6879, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5426, root_relative_squared_error: 1.184, scimark_benchmark: 1316.535, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7495, kappa: 0.3857, kb_relative_information_score: 91.0325, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7484, predictive_accuracy: 0.7606, prior_entropy: 0.8818, recall: 0.7606, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9163, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7495, kappa: 0.3857, kb_relative_information_score: 90.7231, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7484, predictive_accuracy: 0.7606, prior_entropy: 0.8818, recall: 0.7606, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9181, scimark_benchmark: 1339.944, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1205.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, f_measure: 0.5691, kappa: -0.0297, kb_relative_information_score: 64.3927, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.4868, predictive_accuracy: 0.6848, prior_entropy: 0.8818, recall: 0.6848, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.225, scimark_benchmark: 1227.9507, usercpu_time_millis: 1100, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7136, kappa: 0.3041, kb_relative_information_score: 42.289, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7096, predictive_accuracy: 0.7212, prior_entropy: 0.8818, recall: 0.7212, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.9289, scimark_benchmark: 1335.693, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.1923, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1264.6103, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7668, kappa: 0.4299, kb_relative_information_score: 74.0626, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7659, predictive_accuracy: 0.7758, prior_entropy: 0.8818, recall: 0.7758, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8852, scimark_benchmark: 911.2316, usercpu_time_millis: 2630, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7356, kappa: 0.3505, kb_relative_information_score: 91.206, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7341, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9428, scimark_benchmark: 941.4991, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7276, kappa: 0.3359, kb_relative_information_score: 70.0395, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7241, predictive_accuracy: 0.7364, prior_entropy: 0.8818, recall: 0.7364, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8847, scimark_benchmark: 917.2109, usercpu_time_millis: 5640, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 4530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7468, kappa: 0.3798, kb_relative_information_score: 69.8817, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7453, predictive_accuracy: 0.7576, prior_entropy: 0.8818, recall: 0.7576, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8805, scimark_benchmark: 934.695, usercpu_time_millis: 12120, usercpu_time_millis_testing: 3260, usercpu_time_millis_training: 8860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7323, kappa: 0.3495, kb_relative_information_score: 74.5988, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.729, predictive_accuracy: 0.7394, prior_entropy: 0.8818, recall: 0.7394, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9201, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7521, kappa: 0.3916, kb_relative_information_score: 80.6617, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7515, predictive_accuracy: 0.7636, prior_entropy: 0.8818, recall: 0.7636, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.898, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6977, kappa: 0.2753, kb_relative_information_score: 42.2122, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.6958, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9825, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7267, kappa: 0.3209, kb_relative_information_score: 58.6684, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7474, predictive_accuracy: 0.7576, prior_entropy: 0.8818, recall: 0.7576, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8921, scimark_benchmark: 1374.9737, usercpu_time_millis: 240, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7411, kappa: 0.3703, kb_relative_information_score: 91.3089, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4202, number_of_instances: 330, precision: 0.7381, predictive_accuracy: 0.7485, prior_entropy: 0.8818, recall: 0.7485, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9134, scimark_benchmark: 1310.6554, usercpu_time_millis: 14070, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 13690,

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