Task
Supervised Classification on dermatology

Supervised Classification on dermatology

Task 265 Supervised Classification dermatology 313 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.975, kappa: 0.9684, kb_relative_information_score: 114.7036, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9755, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.2517, scimark_benchmark: 1064.8317, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9586, kappa: 0.9474, kb_relative_information_score: 109.6603, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9604, predictive_accuracy: 0.9583, prior_entropy: 2.4378, recall: 0.9583, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3126, scimark_benchmark: 1337.446, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9746, kappa: 0.9683, kb_relative_information_score: 113.7686, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9767, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.2519, scimark_benchmark: 1301.2156, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9503, kappa: 0.9366, kb_relative_information_score: 110.9169, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9547, predictive_accuracy: 0.95, prior_entropy: 2.4378, recall: 0.95, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.3141, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9673, kappa: 0.958, kb_relative_information_score: 113.8559, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9687, predictive_accuracy: 0.9667, prior_entropy: 2.4378, recall: 0.9667, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2901, scimark_benchmark: 1327.035, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9665, kappa: 0.9578, kb_relative_information_score: 103.4036, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9676, predictive_accuracy: 0.9667, prior_entropy: 2.4378, recall: 0.9667, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.3403, scimark_benchmark: 937.1527, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9503, kappa: 0.9366, kb_relative_information_score: 110.9169, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9547, predictive_accuracy: 0.95, prior_entropy: 2.4378, recall: 0.95, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.3141, scimark_benchmark: 1331.2332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.924, kappa: 0.9048, kb_relative_information_score: 108.4801, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9288, predictive_accuracy: 0.925, prior_entropy: 2.4378, recall: 0.925, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.3627, scimark_benchmark: 833.3193, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9343, kappa: 0.9161, kb_relative_information_score: 107.2488, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9431, predictive_accuracy: 0.9333, prior_entropy: 2.4378, recall: 0.9333, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3797, scimark_benchmark: 1268.9931, usercpu_time_millis: 920, usercpu_time_millis_testing: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9259, kappa: 0.9058, kb_relative_information_score: 108.1881, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9352, predictive_accuracy: 0.925, prior_entropy: 2.4378, recall: 0.925, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4352, scimark_benchmark: 932.0242, usercpu_time_millis: 160, usercpu_time_millis_testing: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9245, kappa: 0.9047, kb_relative_information_score: 106.7753, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.928, predictive_accuracy: 0.925, prior_entropy: 2.4378, recall: 0.925, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4352, scimark_benchmark: 1328.8457, usercpu_time_millis: 1380, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.4127, kappa: 0.3681, kb_relative_information_score: 42.0171, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.377, predictive_accuracy: 0.525, prior_entropy: 2.4378, recall: 0.525, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.302, root_relative_squared_error: 0.8311, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8751, kappa: 0.8418, kb_relative_information_score: 97.9303, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.8873, predictive_accuracy: 0.875, prior_entropy: 2.4378, recall: 0.875, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.5479, scimark_benchmark: 1301.2156, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.3841, kappa: 0.3679, kb_relative_information_score: 43.9925, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.3082, predictive_accuracy: 0.5333, prior_entropy: 2.4378, recall: 0.5333, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.8633, scimark_benchmark: 1316.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9494, kappa: 0.9364, kb_relative_information_score: 101.8911, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9519, predictive_accuracy: 0.95, prior_entropy: 2.4378, recall: 0.95, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.131, root_relative_squared_error: 0.3605, scimark_benchmark: 1334.4761, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9494, kappa: 0.9364, kb_relative_information_score: 101.5053, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9519, predictive_accuracy: 0.95, prior_entropy: 2.4378, recall: 0.95, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.3646, scimark_benchmark: 1275.9462, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9409, kappa: 0.9259, kb_relative_information_score: 101.1027, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9421, predictive_accuracy: 0.9417, prior_entropy: 2.4378, recall: 0.9417, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.3653, scimark_benchmark: 1318.5627, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9578, kappa: 0.9473, kb_relative_information_score: 112.2729, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9596, predictive_accuracy: 0.9583, prior_entropy: 2.4378, recall: 0.9583, relative_absolute_error: 0.0549, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.306, scimark_benchmark: 1322.4968, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9747, kappa: 0.9684, kb_relative_information_score: 113.7731, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.977, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2533, scimark_benchmark: 1311.1837, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9151, kappa: 0.8941, kb_relative_information_score: 104.2071, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9232, predictive_accuracy: 0.9167, prior_entropy: 2.4378, recall: 0.9167, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.128, root_relative_squared_error: 0.3523, scimark_benchmark: 1270.2428, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9234, kappa: 0.9047, kb_relative_information_score: 103.9409, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9327, predictive_accuracy: 0.925, prior_entropy: 2.4378, recall: 0.925, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.3604, scimark_benchmark: 1307.8606, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9153, kappa: 0.8942, kb_relative_information_score: 104.6063, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9218, predictive_accuracy: 0.9167, prior_entropy: 2.4378, recall: 0.9167, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.3714, scimark_benchmark: 898.1296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 1205.8291, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9746, kappa: 0.9683, kb_relative_information_score: 113.7686, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9767, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.2519, scimark_benchmark: 1316.535, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9503, kappa: 0.9366, kb_relative_information_score: 110.9169, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9547, predictive_accuracy: 0.95, prior_entropy: 2.4378, recall: 0.95, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.3141, scimark_benchmark: 1339.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9833, kappa: 0.9789, kb_relative_information_score: 115.0998, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.1854, scimark_benchmark: 1319.9329, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9833, kappa: 0.9789, kb_relative_information_score: 115.1067, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.185, scimark_benchmark: 1350.9691, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.7931, kappa: 0.7733, kb_relative_information_score: 64.3516, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.7948, predictive_accuracy: 0.825, prior_entropy: 2.4378, recall: 0.825, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.6562, scimark_benchmark: 1334.9657, usercpu_time_millis: 1030, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8228, kappa: 0.774, kb_relative_information_score: 43.9427, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.8526, predictive_accuracy: 0.825, prior_entropy: 2.4378, recall: 0.825, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.8042, scimark_benchmark: 1344.7246, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9414, kappa: 0.9258, kb_relative_information_score: 108.2334, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9457, predictive_accuracy: 0.9417, prior_entropy: 2.4378, recall: 0.9417, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3771, scimark_benchmark: 932.0242, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9833, kappa: 0.9789, kb_relative_information_score: 115.0903, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.1857, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9566, kappa: 0.9469, kb_relative_information_score: 110.207, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9603, predictive_accuracy: 0.9583, prior_entropy: 2.4378, recall: 0.9583, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3154, scimark_benchmark: 1334.3805, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9586, kappa: 0.9474, kb_relative_information_score: 109.6603, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9604, predictive_accuracy: 0.9583, prior_entropy: 2.4378, recall: 0.9583, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3126, scimark_benchmark: 1307.8775, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9497, kappa: 0.9368, kb_relative_information_score: 113.2677, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9503, predictive_accuracy: 0.95, prior_entropy: 2.4378, recall: 0.95, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.272, scimark_benchmark: 1326.6647, usercpu_time_millis: 960, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9415, kappa: 0.9263, kb_relative_information_score: 100.3153, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9435, predictive_accuracy: 0.9417, prior_entropy: 2.4378, recall: 0.9417, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.3875, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9151, kappa: 0.8941, kb_relative_information_score: 104.3773, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9232, predictive_accuracy: 0.9167, prior_entropy: 2.4378, recall: 0.9167, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.3525, scimark_benchmark: 1331.1784, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.918, kappa: 0.8952, kb_relative_information_score: 106.4956, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9245, predictive_accuracy: 0.9167, prior_entropy: 2.4378, recall: 0.9167, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.4367, scimark_benchmark: 926.6704, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.042, build_memory: 1927945312, f_measure: 0.9833, kappa: 0.9789, kb_relative_information_score: 103.3003, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.3388, scimark_benchmark: 943.8094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.045, build_memory: 749538416, f_measure: 0.9833, kappa: 0.9789, kb_relative_information_score: 103.3003, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.3388, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, build_cpu_time: 0.003, build_memory: 39809360, f_measure: 0.3934, kappa: 0.3254, kb_relative_information_score: 45.7377, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.3433, predictive_accuracy: 0.525, prior_entropy: 2.4378, recall: 0.525, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.3979, root_relative_squared_error: 1.0952, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, build_cpu_time: 0.003, build_memory: 1043784576, f_measure: 0.3934, kappa: 0.3254, kb_relative_information_score: 45.7377, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.3433, predictive_accuracy: 0.525, prior_entropy: 2.4378, recall: 0.525, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.3979, root_relative_squared_error: 1.0952, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, build_cpu_time: 0.001, build_memory: 944788904, f_measure: 0.3934, kappa: 0.3254, kb_relative_information_score: 45.7377, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.3433, predictive_accuracy: 0.525, prior_entropy: 2.4378, recall: 0.525, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.3979, root_relative_squared_error: 1.0952, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, build_cpu_time: 0.057, build_memory: 1415126552, f_measure: 0.9586, kappa: 0.9473, kb_relative_information_score: 112.5084, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9592, predictive_accuracy: 0.9583, prior_entropy: 2.4378, recall: 0.9583, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3126, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, build_cpu_time: 0.115, build_memory: 695332704, f_measure: 0.95, kappa: 0.9368, kb_relative_information_score: 110.9757, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 2.4378, recall: 0.95, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.3552, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, build_cpu_time: 0.221, build_memory: 2316831424, f_measure: 0.95, kappa: 0.9368, kb_relative_information_score: 111.7467, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 2.4378, recall: 0.95, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.3343, scimark_benchmark: 943.5504,

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