Task
Supervised Classification on dermatology

Supervised Classification on dermatology

Task 1799 Supervised Classification dermatology 306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9181, kappa: 0.8983, kb_relative_information_score: 1642.6276, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9207, predictive_accuracy: 0.9191, prior_entropy: 2.4378, recall: 0.9191, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4038, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9371, kappa: 0.9208, kb_relative_information_score: 1663.8358, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9378, predictive_accuracy: 0.9366, prior_entropy: 2.4378, recall: 0.9366, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3699, scimark_benchmark: 851.2074, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 916.0735, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9049, kappa: 0.8808, kb_relative_information_score: 1526.2917, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9088, predictive_accuracy: 0.9055, prior_entropy: 2.4378, recall: 0.9055, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4293, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9631, kappa: 0.9541, kb_relative_information_score: 1552.9611, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 2.4378, recall: 0.9634, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.3671, scimark_benchmark: 931.771, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 941.3847, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9388, kappa: 0.9228, kb_relative_information_score: 1690.3798, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9399, predictive_accuracy: 0.9383, prior_entropy: 2.4378, recall: 0.9383, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3688, scimark_benchmark: 938.5498, usercpu_time_millis: 2250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9631, kappa: 0.9541, kb_relative_information_score: 1552.9611, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 2.4378, recall: 0.9634, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.3671, scimark_benchmark: 943.1009, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9181, kappa: 0.8983, kb_relative_information_score: 1642.6276, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9207, predictive_accuracy: 0.9191, prior_entropy: 2.4378, recall: 0.9191, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4038, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9376, kappa: 0.9215, kb_relative_information_score: 1665.0692, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9384, predictive_accuracy: 0.9372, prior_entropy: 2.4378, recall: 0.9372, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.368, scimark_benchmark: 936.2574, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 930.404, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9787, kappa: 0.9733, kb_relative_information_score: 1773.0476, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9792, predictive_accuracy: 0.9787, prior_entropy: 2.4378, recall: 0.9787, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2047, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9049, kappa: 0.8808, kb_relative_information_score: 1526.2917, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9088, predictive_accuracy: 0.9055, prior_entropy: 2.4378, recall: 0.9055, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4293, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9388, kappa: 0.9228, kb_relative_information_score: 1690.3798, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9399, predictive_accuracy: 0.9383, prior_entropy: 2.4378, recall: 0.9383, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3688, scimark_benchmark: 1051.249, usercpu_time_millis: 2750, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9631, kappa: 0.9541, kb_relative_information_score: 1552.9611, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 2.4378, recall: 0.9634, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.3671, scimark_benchmark: 901.4991, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9808, kappa: 0.9761, kb_relative_information_score: 1691.2449, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 2.4378, recall: 0.9809, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.2537, scimark_benchmark: 936.2727, usercpu_time_millis: 10270, usercpu_time_millis_testing: 3970, usercpu_time_millis_training: 6300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9792, kappa: 0.974, kb_relative_information_score: 1686.9015, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9793, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.2597, scimark_benchmark: 935.2002, usercpu_time_millis: 5340, usercpu_time_millis_testing: 2180, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9775, kappa: 0.9719, kb_relative_information_score: 1687.6692, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9775, predictive_accuracy: 0.9776, prior_entropy: 2.4378, recall: 0.9776, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.2623, scimark_benchmark: 944.235, usercpu_time_millis: 3260, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9797, kappa: 0.9747, kb_relative_information_score: 1693.4133, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 2.4378, recall: 0.9798, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2589, scimark_benchmark: 930.0399, usercpu_time_millis: 1450, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9704, kappa: 0.9631, kb_relative_information_score: 1689.2381, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 2.4378, recall: 0.9705, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.2753, scimark_benchmark: 894.7131, usercpu_time_millis: 580, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.1434, kb_relative_information_score: 3.6353, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.0936, predictive_accuracy: 0.306, prior_entropy: 2.4378, recall: 0.306, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3649, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.3594, kappa: 0.335, kb_relative_information_score: 649.0318, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.3012, predictive_accuracy: 0.4934, prior_entropy: 2.4378, recall: 0.4934, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8625, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1434, kb_relative_information_score: 267.4102, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.0936, predictive_accuracy: 0.306, prior_entropy: 2.4378, recall: 0.306, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.481, root_relative_squared_error: 1.3182, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9443, kappa: 0.9307, kb_relative_information_score: 1625.5595, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9458, predictive_accuracy: 0.9448, prior_entropy: 2.4378, recall: 0.9448, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.333, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.977, kappa: 0.9712, kb_relative_information_score: 1520.9538, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9774, predictive_accuracy: 0.977, prior_entropy: 2.4378, recall: 0.977, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.3501, scimark_benchmark: 933.0918, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.4237, kappa: 0.3913, kb_relative_information_score: 652.9927, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.5682, predictive_accuracy: 0.5399, prior_entropy: 2.4378, recall: 0.5399, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.834, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9181, kappa: 0.8983, kb_relative_information_score: 1642.6276, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9207, predictive_accuracy: 0.9191, prior_entropy: 2.4378, recall: 0.9191, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4038, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9376, kappa: 0.9215, kb_relative_information_score: 1665.0692, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9384, predictive_accuracy: 0.9372, prior_entropy: 2.4378, recall: 0.9372, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.368, scimark_benchmark: 903.4813, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 1309.4708, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9787, kappa: 0.9733, kb_relative_information_score: 1773.0476, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9792, predictive_accuracy: 0.9787, prior_entropy: 2.4378, recall: 0.9787, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.2047, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9388, kappa: 0.9228, kb_relative_information_score: 1690.3798, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9399, predictive_accuracy: 0.9383, prior_entropy: 2.4378, recall: 0.9383, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3688, scimark_benchmark: 1350.8432, usercpu_time_millis: 2740, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9663, kappa: 0.9576, kb_relative_information_score: 1752.2138, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9665, predictive_accuracy: 0.9661, prior_entropy: 2.4378, recall: 0.9661, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.2913, scimark_benchmark: 1331.0047, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9371, kappa: 0.9208, kb_relative_information_score: 1663.8358, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9378, predictive_accuracy: 0.9366, prior_entropy: 2.4378, recall: 0.9366, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3699, scimark_benchmark: 1313.8988, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 1286.0816, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 1320.1171, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1342.9012, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1336.4701, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1333.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9388, kappa: 0.9228, kb_relative_information_score: 1690.3798, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9399, predictive_accuracy: 0.9383, prior_entropy: 2.4378, recall: 0.9383, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3688, scimark_benchmark: 1314.2279, usercpu_time_millis: 2580, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 1274.7011, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1247.5691, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9631, kappa: 0.9541, kb_relative_information_score: 1552.9611, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 2.4378, recall: 0.9634, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.3671, scimark_benchmark: 1343.3311, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9776, kappa: 0.972, kb_relative_information_score: 1773.3476, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9785, predictive_accuracy: 0.9776, prior_entropy: 2.4378, recall: 0.9776, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2049, scimark_benchmark: 1344.0499, usercpu_time_millis: 670, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9181, kappa: 0.8983, kb_relative_information_score: 1642.6276, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9207, predictive_accuracy: 0.9191, prior_entropy: 2.4378, recall: 0.9191, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4038, scimark_benchmark: 1318.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7175, kappa: 0.6648, kb_relative_information_score: 1233.4492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.7514, predictive_accuracy: 0.7361, prior_entropy: 2.4378, recall: 0.7361, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.8129, scimark_benchmark: 1393.8432, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 1773.4513, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9805, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2053, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9388, kappa: 0.9228, kb_relative_information_score: 1690.3798, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9399, predictive_accuracy: 0.9383, prior_entropy: 2.4378, recall: 0.9383, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3688, scimark_benchmark: 940.3347, usercpu_time_millis: 2140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9631, kappa: 0.9541, kb_relative_information_score: 1552.9611, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 2.4378, recall: 0.9634, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.3671, scimark_benchmark: 1326.8946, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9181, kappa: 0.8983, kb_relative_information_score: 1642.6276, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2664, number_of_instances: 1830, precision: 0.9207, predictive_accuracy: 0.9191, prior_entropy: 2.4378, recall: 0.9191, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4038, scimark_benchmark: 1384.4422,

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