OpenML
Supervised Classification on SPECT

Supervised Classification on SPECT

Task 3495 Supervised Classification SPECT 546 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 44.8944, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.0446, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 44.8944, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.0446, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8305, kappa: 0.4528, kb_relative_information_score: 57.2905, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8296, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8514, scimark_benchmark: 1334.9657, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 57.9596, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8183, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9061, scimark_benchmark: 1323.237, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.8148, kappa: 0.4191, kb_relative_information_score: 96.311, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8113, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.424, root_relative_squared_error: 1.0484, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.818, kappa: 0.4272, kb_relative_information_score: 17.5271, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8143, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.897, scimark_benchmark: 1330.7266, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.7028, kb_relative_information_score: -1.8944, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.934, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.8195, kappa: 0.427, kb_relative_information_score: 42.9816, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8158, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8963, scimark_benchmark: 899.5042, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.8195, kappa: 0.427, kb_relative_information_score: 42.9816, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8158, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8963, scimark_benchmark: 1301.9176, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7181, kappa: 0.0487, kb_relative_information_score: 29.8425, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7719, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.8996, scimark_benchmark: 1338.01, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.8175, kappa: 0.4092, kb_relative_information_score: 47.9353, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8156, predictive_accuracy: 0.8315, prior_entropy: 0.738, recall: 0.8315, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.8763, scimark_benchmark: 1283.2145, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 50.6026, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.0378, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.8345, kappa: 0.5187, kb_relative_information_score: 82.3225, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8463, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.9479, scimark_benchmark: 926.6704, usercpu_time_millis: 1700, usercpu_time_millis_testing: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7807, kappa: 0.3481, kb_relative_information_score: 45.4444, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7876, predictive_accuracy: 0.7753, prior_entropy: 0.738, recall: 0.7753, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9944, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7697, kappa: 0.3988, kb_relative_information_score: -108.3628, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8238, predictive_accuracy: 0.7491, prior_entropy: 0.738, recall: 0.7491, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.0369, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.8383, kappa: 0.5158, kb_relative_information_score: 110.408, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8423, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0038, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.4461, kappa: 0.1311, kb_relative_information_score: -265.282, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8236, predictive_accuracy: 0.4345, prior_entropy: 0.738, recall: 0.4345, relative_absolute_error: 1.5121, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.2279, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.7697, kappa: 0.3304, kb_relative_information_score: -64.0658, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7833, predictive_accuracy: 0.7603, prior_entropy: 0.738, recall: 0.7603, relative_absolute_error: 1.0444, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4324, root_relative_squared_error: 1.0691, scimark_benchmark: 1034.1273, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.735, kappa: 0.1044, kb_relative_information_score: 1.9843, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7546, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.003, scimark_benchmark: 934.1747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.7469, kappa: 0.2585, kb_relative_information_score: 21.3246, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7588, predictive_accuracy: 0.7378, prior_entropy: 0.738, recall: 0.7378, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4657, root_relative_squared_error: 1.1515, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.818, kappa: 0.4272, kb_relative_information_score: 17.5271, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8143, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.897, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7181, kappa: 0.0487, kb_relative_information_score: 23.3078, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7719, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9195, scimark_benchmark: 1290.1085, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.8133, kappa: 0.4108, kb_relative_information_score: 62.8123, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8093, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8711, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.829, kappa: 0.4524, kb_relative_information_score: 60.7392, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8265, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.8649, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8305, kappa: 0.4528, kb_relative_information_score: 53.5577, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8296, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.8723, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8238, kappa: 0.4266, kb_relative_information_score: 48.968, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8243, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.8696, scimark_benchmark: 882.7843, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.8104, kappa: 0.3818, kb_relative_information_score: 44.5009, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8097, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.8865, scimark_benchmark: 882.7843, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.8206, kappa: 0.4178, kb_relative_information_score: 38.5306, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8199, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.8941, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.8399, kappa: 0.493, kb_relative_information_score: 74.8879, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8372, predictive_accuracy: 0.8464, prior_entropy: 0.738, recall: 0.8464, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.8694, scimark_benchmark: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.8258, kappa: 0.4438, kb_relative_information_score: 64.3168, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8228, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.862, scimark_benchmark: 1363.434, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8242, kappa: 0.4436, kb_relative_information_score: 58.3339, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8207, predictive_accuracy: 0.8315, prior_entropy: 0.738, recall: 0.8315, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.8663, scimark_benchmark: 939.5205, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8274, kappa: 0.452, kb_relative_information_score: 53.2917, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8241, predictive_accuracy: 0.8352, prior_entropy: 0.738, recall: 0.8352, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.8696, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.8256, kappa: 0.4355, kb_relative_information_score: 42.0398, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8248, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.8713, scimark_benchmark: 1321.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.7487, kappa: 0.1539, kb_relative_information_score: 17.7628, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7558, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9139, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8192, kappa: 0.4703, kb_relative_information_score: 36.307, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8293, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.8896, scimark_benchmark: 939.5205, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.8058, kappa: 0.4205, kb_relative_information_score: 34.5644, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8112, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9099, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.8066, kappa: 0.461, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8333, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 934.4732, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.8305, kappa: 0.4528, kb_relative_information_score: 49.5455, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8296, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.8739, scimark_benchmark: 883.7187, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7964, kappa: 0.3733, kb_relative_information_score: -52.5754, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7951, predictive_accuracy: 0.7978, prior_entropy: 0.738, recall: 0.7978, relative_absolute_error: 1.0368, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.9536, scimark_benchmark: 934.5243, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7028, kb_relative_information_score: -9.6388, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9297, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.8301, kappa: 0.4446, kb_relative_information_score: 120.9808, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8339, predictive_accuracy: 0.8464, prior_entropy: 0.738, recall: 0.8464, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.9689, scimark_benchmark: 947.0793, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.8194, kappa: 0.4353, kb_relative_information_score: 78.5652, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8163, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9721, scimark_benchmark: 947.0793, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.8194, kappa: 0.4353, kb_relative_information_score: 78.6373, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8163, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.972, scimark_benchmark: 930.32, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.8194, kappa: 0.4353, kb_relative_information_score: 78.6373, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8163, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.972, scimark_benchmark: 943.6956, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.8025, kappa: 0.3882, kb_relative_information_score: 63.4567, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8001, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4056, root_relative_squared_error: 1.0029, scimark_benchmark: 941.8057, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.8127, kappa: 0.4275, kb_relative_information_score: 58.4435, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8127, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.9657, scimark_benchmark: 947.0793, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.801, kappa: 0.3796, kb_relative_information_score: 65.0033, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7977, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.9635, scimark_benchmark: 915.2795, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 942.6953, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.8022, kappa: 0.3972, kb_relative_information_score: 78.6897, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8028, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4455, root_relative_squared_error: 1.1016, scimark_benchmark: 945.0164, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, build_cpu_time: 0.3407, build_memory: 769236422.5918, f_measure: 0.8096, kappa: 0.42, kb_relative_information_score: 65.1689, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8103, predictive_accuracy: 0.809, prior_entropy: 0.738, recall: 0.809, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, build_cpu_time: 0.2912, build_memory: 757754765.0037, f_measure: 0.8096, kappa: 0.42, kb_relative_information_score: 65.1689, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8103, predictive_accuracy: 0.809, prior_entropy: 0.738, recall: 0.809, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, build_cpu_time: 0.2728, build_memory: 898013803.3558, f_measure: 0.8096, kappa: 0.42, kb_relative_information_score: 64.0535, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8103, predictive_accuracy: 0.809, prior_entropy: 0.738, recall: 0.809, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9745, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, build_cpu_time: 0.1442, build_memory: 851071266.9963, f_measure: 0.8127, kappa: 0.4275, kb_relative_information_score: 64.99, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8127, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.9669, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, build_cpu_time: 0.0215, build_memory: 723825742.1423, f_measure: 0.8114, kappa: 0.4197, kb_relative_information_score: 66.6084, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8103, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.9305, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, build_cpu_time: 0.0324, build_memory: 786779717.0637, f_measure: 0.8127, kappa: 0.4275, kb_relative_information_score: 71.1939, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8127, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.9267, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, build_cpu_time: 0.02, build_memory: 915574336.4494, f_measure: 0.8127, kappa: 0.4275, kb_relative_information_score: 71.1939, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8127, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.9267, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, build_cpu_time: 0.031, build_memory: 893310798.5318, f_measure: 0.8127, kappa: 0.4275, kb_relative_information_score: 71.1939, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8127, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.9267, scimark_benchmark: 941.8181,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs