Task
Supervised Classification on ipums_la_97-small

Supervised Classification on ipums_la_97-small

Task 3517 Supervised Classification ipums_la_97-small 269 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.3975, kappa: 0.3127, kb_relative_information_score: 2533.6117, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3982, predictive_accuracy: 0.4518, prior_entropy: 2.7591, recall: 0.4518, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3375, root_relative_squared_error: 1.0461, scimark_benchmark: 1307.9718, usercpu_time_millis: 35768440, usercpu_time_millis_testing: 35768300, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.3382, kappa: 0.2984, kb_relative_information_score: 2402.148, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3163, predictive_accuracy: 0.4548, prior_entropy: 2.7591, recall: 0.4548, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9115, scimark_benchmark: 1347.388, usercpu_time_millis: 12910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.2457, kappa: 0.0947, kb_relative_information_score: 1106.314, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2494, predictive_accuracy: 0.2426, prior_entropy: 2.7591, recall: 0.2426, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.3071, scimark_benchmark: 1346.4887, usercpu_time_millis: 2510360, usercpu_time_millis_testing: 280180, usercpu_time_millis_training: 2230180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.3516, kappa: 0.2698, kb_relative_information_score: 2302.6508, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3534, predictive_accuracy: 0.4234, prior_entropy: 2.7591, recall: 0.4234, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.0472, scimark_benchmark: 896.937, usercpu_time_millis: 6190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.3087, kappa: 0.1708, kb_relative_information_score: 1628.8289, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.308, predictive_accuracy: 0.31, prior_entropy: 2.7591, recall: 0.31, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3892, root_relative_squared_error: 1.2066, scimark_benchmark: 1288.1375, usercpu_time_millis: 490200, usercpu_time_millis_testing: 490200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.3317, kappa: 0.2002, kb_relative_information_score: 1860.4523, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3246, predictive_accuracy: 0.3425, prior_entropy: 2.7591, recall: 0.3425, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3786, root_relative_squared_error: 1.1735, scimark_benchmark: 889.3151, usercpu_time_millis: 42460, usercpu_time_millis_testing: 42460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.3229, kappa: 0.1897, kb_relative_information_score: 1637.7267, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3205, predictive_accuracy: 0.3273, prior_entropy: 2.7591, recall: 0.3273, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.2712, scimark_benchmark: 1327.9121, usercpu_time_millis: 36100, usercpu_time_millis_testing: 36100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.1845, kappa: 0.0438, kb_relative_information_score: 268.7504, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2646, predictive_accuracy: 0.2811, prior_entropy: 2.7591, recall: 0.2811, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3296, root_relative_squared_error: 1.0217, scimark_benchmark: 1316.7714, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2114.1265, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.9137, scimark_benchmark: 1301.7387, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.3268, kappa: 0.2679, kb_relative_information_score: 1202.5405, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3539, predictive_accuracy: 0.438, prior_entropy: 2.7591, recall: 0.438, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9394, scimark_benchmark: 1308.3432, usercpu_time_millis: 37790, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 37420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.4148, kappa: 0.3239, kb_relative_information_score: 2598.4332, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4075, predictive_accuracy: 0.4562, prior_entropy: 2.7591, recall: 0.4562, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.9059, scimark_benchmark: 1354.686, usercpu_time_millis: 8140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.2494, kappa: 0.0954, kb_relative_information_score: 1082.1573, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2438, predictive_accuracy: 0.2715, prior_entropy: 2.7591, recall: 0.2715, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.0367, scimark_benchmark: 1337.6765, usercpu_time_millis: 211760, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 210730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.2531, kappa: 0.0998, kb_relative_information_score: 1083.6453, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2481, predictive_accuracy: 0.2747, prior_entropy: 2.7591, recall: 0.2747, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.037, scimark_benchmark: 1316.5986, usercpu_time_millis: 83240, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 82900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.2519, kappa: 0.0989, kb_relative_information_score: 1087.7387, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.246, predictive_accuracy: 0.2737, prior_entropy: 2.7591, recall: 0.2737, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.0375, scimark_benchmark: 1330.8781, usercpu_time_millis: 47920, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 47640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.2525, kappa: 0.1001, kb_relative_information_score: 1079.9532, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2455, predictive_accuracy: 0.2743, prior_entropy: 2.7591, recall: 0.2743, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3354, root_relative_squared_error: 1.0397, scimark_benchmark: 1176.0388, usercpu_time_millis: 19400, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 19320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.218, kb_relative_information_score: 1860.5389, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.1818, predictive_accuracy: 0.4029, prior_entropy: 2.7591, recall: 0.4029, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.1976, scimark_benchmark: 1301.1661, usercpu_time_millis: 235870, usercpu_time_millis_testing: 77510, usercpu_time_millis_training: 158360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.3451, kappa: 0.3135, kb_relative_information_score: 1754.1493, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3184, predictive_accuracy: 0.4687, prior_entropy: 2.7591, recall: 0.4687, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9094, scimark_benchmark: 937.5996, usercpu_time_millis: 2675460, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 2675010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 1339.7143, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.3016, kappa: 0.2028, kb_relative_information_score: 1794.0245, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3838, predictive_accuracy: 0.3076, prior_entropy: 2.7591, recall: 0.3076, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.385, root_relative_squared_error: 1.1936, scimark_benchmark: 1341.994, usercpu_time_millis: 410, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.3016, kappa: 0.2028, kb_relative_information_score: 1794.0245, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3838, predictive_accuracy: 0.3076, prior_entropy: 2.7591, recall: 0.3076, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.385, root_relative_squared_error: 1.1936, scimark_benchmark: 889.3151, usercpu_time_millis: 150, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.3422, kappa: 0.2074, kb_relative_information_score: 1747.4142, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3528, predictive_accuracy: 0.3357, prior_entropy: 2.7591, recall: 0.3357, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.4053, root_relative_squared_error: 1.2563, scimark_benchmark: 1333.5799, usercpu_time_millis: 5900550, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 5900030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.1195, kb_relative_information_score: 0.4109, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.0762, predictive_accuracy: 0.2761, prior_entropy: 2.7591, recall: 0.2761, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3226, root_relative_squared_error: 1, scimark_benchmark: 1329.0992, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.3934, kappa: 0.3229, kb_relative_information_score: 2193.1139, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3967, predictive_accuracy: 0.4646, prior_entropy: 2.7591, recall: 0.4646, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.9048, scimark_benchmark: 1370.6464, usercpu_time_millis: 8170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.0829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 1337.8431, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.3706, kappa: 0.3157, kb_relative_information_score: 2461.8765, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3517, predictive_accuracy: 0.4623, prior_entropy: 2.7591, recall: 0.4623, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.892, scimark_benchmark: 1351.3295, usercpu_time_millis: 192690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 192680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.3706, kappa: 0.3157, kb_relative_information_score: 2461.8765, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3517, predictive_accuracy: 0.4623, prior_entropy: 2.7591, recall: 0.4623, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.892, scimark_benchmark: 1301.9176, usercpu_time_millis: 208990, usercpu_time_millis_training: 208990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.323, kappa: 0.2598, kb_relative_information_score: 1161.3128, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3561, predictive_accuracy: 0.4328, prior_entropy: 2.7591, recall: 0.4328, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.9421, scimark_benchmark: 1263.2205, usercpu_time_millis: 16590, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 16420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.4177, kappa: 0.3184, kb_relative_information_score: 2613.3236, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4076, predictive_accuracy: 0.4468, prior_entropy: 2.7591, recall: 0.4468, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.9193, scimark_benchmark: 1316.781, usercpu_time_millis: 17240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.3924, kappa: 0.3225, kb_relative_information_score: 2571.6051, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3956, predictive_accuracy: 0.4646, prior_entropy: 2.7591, recall: 0.4646, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.8911, scimark_benchmark: 1298.6659, usercpu_time_millis: 1420, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.2127, kappa: 0.1309, kb_relative_information_score: 524.7874, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3173, predictive_accuracy: 0.2223, prior_entropy: 2.7591, recall: 0.2223, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.337, root_relative_squared_error: 1.0447, scimark_benchmark: 937.1527, usercpu_time_millis: 280, usercpu_time_millis_testing: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.2916, kappa: 0.2022, kb_relative_information_score: 1264.6613, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3849, predictive_accuracy: 0.3991, prior_entropy: 2.7591, recall: 0.3991, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.9549, scimark_benchmark: 1339.4189, usercpu_time_millis: 3820, usercpu_time_millis_training: 3820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.1239, kappa: -0.0026, kb_relative_information_score: 987.8185, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.1624, predictive_accuracy: 0.2721, prior_entropy: 2.7591, recall: 0.2721, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3394, root_relative_squared_error: 1.052, scimark_benchmark: 912.5006, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.3262, kappa: 0.2636, kb_relative_information_score: 1242.9221, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.356, predictive_accuracy: 0.4341, prior_entropy: 2.7591, recall: 0.4341, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9389, scimark_benchmark: 938.9967, usercpu_time_millis: 10700, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 10610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.2984, kappa: 0.2062, kb_relative_information_score: 1002.6874, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.342, predictive_accuracy: 0.3928, prior_entropy: 2.7591, recall: 0.3928, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.9553, scimark_benchmark: 1330.0694, usercpu_time_millis: 5560, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.4057, kappa: 0.3226, kb_relative_information_score: 2599.2342, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4028, predictive_accuracy: 0.4595, prior_entropy: 2.7591, recall: 0.4595, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.8962, scimark_benchmark: 1320.2556, usercpu_time_millis: 4200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.3728, kappa: 0.3209, kb_relative_information_score: 2557.9049, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3942, predictive_accuracy: 0.4692, prior_entropy: 2.7591, recall: 0.4692, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.8867, scimark_benchmark: 880.8372, usercpu_time_millis: 1340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1320,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.4177, kappa: 0.3184, kb_relative_information_score: 2613.3236, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4076, predictive_accuracy: 0.4468, prior_entropy: 2.7591, recall: 0.4468, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.9193, scimark_benchmark: 945.7621, usercpu_time_millis: 19980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 19970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.4148, kappa: 0.3239, kb_relative_information_score: 2598.4332, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4075, predictive_accuracy: 0.4562, prior_entropy: 2.7591, recall: 0.4562, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.9059, scimark_benchmark: 942.6953, usercpu_time_millis: 10470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.4057, kappa: 0.3226, kb_relative_information_score: 2599.2342, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4028, predictive_accuracy: 0.4595, prior_entropy: 2.7591, recall: 0.4595, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.8962, scimark_benchmark: 934.5243, usercpu_time_millis: 5250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.3924, kappa: 0.3225, kb_relative_information_score: 2571.6051, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3956, predictive_accuracy: 0.4646, prior_entropy: 2.7591, recall: 0.4646, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.8911, scimark_benchmark: 941.7954, usercpu_time_millis: 2790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.3728, kappa: 0.3209, kb_relative_information_score: 2557.9049, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3942, predictive_accuracy: 0.4692, prior_entropy: 2.7591, recall: 0.4692, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.8867, scimark_benchmark: 902.4773, usercpu_time_millis: 1300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.1195, kb_relative_information_score: 0.4109, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.0762, predictive_accuracy: 0.2761, prior_entropy: 2.7591, recall: 0.2761, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3226, root_relative_squared_error: 1, scimark_benchmark: 940.2922, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.3789, kappa: 0.2717, kb_relative_information_score: 1701.736, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3766, predictive_accuracy: 0.4164, prior_entropy: 2.7591, recall: 0.4164, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9382, scimark_benchmark: 943.2745, usercpu_time_millis: 1390, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.3572, kappa: 0.2952, kb_relative_information_score: 2235.5602, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3569, predictive_accuracy: 0.4481, prior_entropy: 2.7591, recall: 0.4481, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.9078, scimark_benchmark: 932.3943, usercpu_time_millis: 750, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.3713, kappa: 0.3203, kb_relative_information_score: 2550.3637, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3918, predictive_accuracy: 0.469, prior_entropy: 2.7591, recall: 0.469, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.8863, scimark_benchmark: 942.6953, usercpu_time_millis: 1330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1195, kb_relative_information_score: 944.1911, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.0762, predictive_accuracy: 0.2761, prior_entropy: 2.7591, recall: 0.2761, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.4254, root_relative_squared_error: 1.3187, scimark_benchmark: 947.9494, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.3078, kappa: 0.2898, kb_relative_information_score: 2043.6414, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2682, predictive_accuracy: 0.4545, prior_entropy: 2.7591, recall: 0.4545, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.903, scimark_benchmark: 901.0726, usercpu_time_millis: 19360, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 18870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.2801, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 947.9494, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 923.3111, usercpu_time_millis: 540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 1174.6686, usercpu_time_millis: 620, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 945.3151, usercpu_time_millis: 530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.3579, kappa: 0.3244, kb_relative_information_score: 1390.4877, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3262, predictive_accuracy: 0.4761, prior_entropy: 2.7591, recall: 0.4761, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.947, scimark_benchmark: 889.9795, usercpu_time_millis: 7341710, usercpu_time_millis_testing: 4481200, usercpu_time_millis_training: 2860510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, build_cpu_time: 43612.333, build_memory: 619157875.384, f_measure: 0.4112, kappa: 0.2956, kb_relative_information_score: 2315.9927, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4062, predictive_accuracy: 0.419, prior_entropy: 2.7591, recall: 0.419, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3774, root_relative_squared_error: 1.1699, scimark_benchmark: 926.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, build_cpu_time: 26572.8418, build_memory: 635123727.0927, f_measure: 0.4119, kappa: 0.2965, kb_relative_information_score: 2332.667, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4069, predictive_accuracy: 0.4199, prior_entropy: 2.7591, recall: 0.4199, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3764, root_relative_squared_error: 1.1669, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, build_cpu_time: 17157.5788, build_memory: 931430156.4154, f_measure: 0.4148, kappa: 0.3002, kb_relative_information_score: 2358.7303, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4095, predictive_accuracy: 0.4231, prior_entropy: 2.7591, recall: 0.4231, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3748, root_relative_squared_error: 1.1617, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, build_cpu_time: 0.6721, build_memory: 853853712.4696, f_measure: 0.1675, kappa: 0.0372, kb_relative_information_score: 286.354, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2308, predictive_accuracy: 0.2921, prior_entropy: 2.7591, recall: 0.2921, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.9947, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, build_cpu_time: 0.662, build_memory: 781719953.1022, f_measure: 0.1675, kappa: 0.0372, kb_relative_information_score: 286.354, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2308, predictive_accuracy: 0.2921, prior_entropy: 2.7591, recall: 0.2921, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.9947, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, build_cpu_time: 0.7332, build_memory: 450160669.1836, f_measure: 0.1675, kappa: 0.0372, kb_relative_information_score: 286.354, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2308, predictive_accuracy: 0.2921, prior_entropy: 2.7591, recall: 0.2921, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.9947, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, build_cpu_time: 0.713, build_memory: 906273598.3895, f_measure: 0.1675, kappa: 0.0372, kb_relative_information_score: 286.354, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2308, predictive_accuracy: 0.2921, prior_entropy: 2.7591, recall: 0.2921, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.9947, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, build_cpu_time: 0.8229, build_memory: 445898633.6287, f_measure: 0.1675, kappa: 0.0372, kb_relative_information_score: 286.354, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2308, predictive_accuracy: 0.2921, prior_entropy: 2.7591, recall: 0.2921, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.9947, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, build_cpu_time: 4.0802, build_memory: 734967498.0653, f_measure: 0.3235, kappa: 0.1976, kb_relative_information_score: 1839.7764, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3204, predictive_accuracy: 0.3556, prior_entropy: 2.7591, recall: 0.3556, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.171, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, build_cpu_time: 3.482, build_memory: 996703294.5012, f_measure: 0.3235, kappa: 0.1973, kb_relative_information_score: 1836.4234, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3206, predictive_accuracy: 0.3553, prior_entropy: 2.7591, recall: 0.3553, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3779, root_relative_squared_error: 1.1714, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, build_cpu_time: 2.7379, build_memory: 1680837221.6099, f_measure: 0.3234, kappa: 0.1962, kb_relative_information_score: 1817.2184, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3205, predictive_accuracy: 0.3539, prior_entropy: 2.7591, recall: 0.3539, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.173, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, build_cpu_time: 1.9348, build_memory: 2221957416.5129, f_measure: 0.3166, kappa: 0.1869, kb_relative_information_score: 1775.9523, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3124, predictive_accuracy: 0.3461, prior_entropy: 2.7591, recall: 0.3461, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3795, root_relative_squared_error: 1.1764, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, build_cpu_time: 1.3595, build_memory: 1284405607.9932, f_measure: 0.3093, kappa: 0.176, kb_relative_information_score: 1716.0204, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3043, predictive_accuracy: 0.3359, prior_entropy: 2.7591, recall: 0.3359, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3811, root_relative_squared_error: 1.1814, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, build_cpu_time: 0.0268, build_memory: 760681584.3716, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2153.8986, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.1538, scimark_benchmark: 927.3354,

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