OpenML
Supervised Classification on socmob

Supervised Classification on socmob

Task 3797 Supervised Classification socmob 1666 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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1666 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9297, kappa: 0.7954, kb_relative_information_score: 837.2535, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9295, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5509, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9332, kappa: 0.8033, kb_relative_information_score: 823.4496, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9331, predictive_accuracy: 0.9343, prior_entropy: 0.7637, recall: 0.9343, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5716, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9346, kappa: 0.8089, kb_relative_information_score: 833.3857, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9343, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5149, scimark_benchmark: 1315.933, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9297, kappa: 0.7954, kb_relative_information_score: 837.2535, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9295, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5509, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9355, kappa: 0.8117, kb_relative_information_score: 810.0585, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9353, predictive_accuracy: 0.936, prior_entropy: 0.7637, recall: 0.936, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5437, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9449, kappa: 0.8386, kb_relative_information_score: 838.3851, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9448, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.482, scimark_benchmark: 1311.9814, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9332, kappa: 0.8033, kb_relative_information_score: 823.4496, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9331, predictive_accuracy: 0.9343, prior_entropy: 0.7637, recall: 0.9343, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5716, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9332, kappa: 0.8033, kb_relative_information_score: 823.4496, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9331, predictive_accuracy: 0.9343, prior_entropy: 0.7637, recall: 0.9343, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5716, scimark_benchmark: 1355.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9185, kappa: 0.7629, kb_relative_information_score: 729.657, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9183, predictive_accuracy: 0.9187, prior_entropy: 0.7637, recall: 0.9187, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5516, scimark_benchmark: 1345.3152, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9346, kappa: 0.8089, kb_relative_information_score: 833.3857, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9343, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5149, scimark_benchmark: 1327.2954, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9332, kappa: 0.8033, kb_relative_information_score: 823.4496, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9331, predictive_accuracy: 0.9343, prior_entropy: 0.7637, recall: 0.9343, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5716, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9185, kappa: 0.7629, kb_relative_information_score: 729.657, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9183, predictive_accuracy: 0.9187, prior_entropy: 0.7637, recall: 0.9187, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5516, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9346, kappa: 0.8089, kb_relative_information_score: 833.3857, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9343, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5149, scimark_benchmark: 1311.9814, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9388, kappa: 0.8185, kb_relative_information_score: 674.6752, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9396, predictive_accuracy: 0.9403, prior_entropy: 0.7637, recall: 0.9403, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5599, scimark_benchmark: 918.0213, usercpu_time_millis: 380, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9185, kappa: 0.7629, kb_relative_information_score: 729.657, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9183, predictive_accuracy: 0.9187, prior_entropy: 0.7637, recall: 0.9187, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5516, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9185, kappa: 0.7629, kb_relative_information_score: 729.657, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9183, predictive_accuracy: 0.9187, prior_entropy: 0.7637, recall: 0.9187, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5516, scimark_benchmark: 1349.1028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9362, kappa: 0.8109, kb_relative_information_score: 688.9207, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9368, predictive_accuracy: 0.9377, prior_entropy: 0.7637, recall: 0.9377, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.5519, scimark_benchmark: 1350.4702, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9332, kappa: 0.8033, kb_relative_information_score: 823.4496, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9331, predictive_accuracy: 0.9343, prior_entropy: 0.7637, recall: 0.9343, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5716, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.935, kappa: 0.809, kb_relative_information_score: 874.9, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9349, predictive_accuracy: 0.936, prior_entropy: 0.7637, recall: 0.936, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.243, root_relative_squared_error: 0.5853, scimark_benchmark: 1320.9387, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9537, kappa: 0.8642, kb_relative_information_score: 928.5174, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9536, predictive_accuracy: 0.9542, prior_entropy: 0.7637, recall: 0.9542, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.4524, scimark_benchmark: 1325.2932, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.8885, kappa: 0.6743, kb_relative_information_score: 711.8123, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8879, predictive_accuracy: 0.8893, prior_entropy: 0.7637, recall: 0.8893, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.7913, scimark_benchmark: 1322.4968, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9476, kappa: 0.8469, kb_relative_information_score: 920.6076, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9475, predictive_accuracy: 0.9481, prior_entropy: 0.7637, recall: 0.9481, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4837, scimark_benchmark: 1347.8736, usercpu_time_millis: 4550, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 4400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9347, kappa: 0.8052, kb_relative_information_score: 819.8033, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9365, predictive_accuracy: 0.9369, prior_entropy: 0.7637, recall: 0.9369, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.5124, scimark_benchmark: 943.1756, usercpu_time_millis: 1600, usercpu_time_millis_testing: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9332, kappa: 0.8033, kb_relative_information_score: 823.4496, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9331, predictive_accuracy: 0.9343, prior_entropy: 0.7637, recall: 0.9343, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5716, scimark_benchmark: 1346.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9254, kappa: 0.7856, kb_relative_information_score: 765.2869, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9264, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.6005, scimark_benchmark: 1360.2999, usercpu_time_millis: 820, usercpu_time_millis_testing: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.6816, kb_relative_information_score: -0.878, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.6061, predictive_accuracy: 0.7785, prior_entropy: 0.7637, recall: 0.7785, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7643, kappa: 0.2531, kb_relative_information_score: -910.8617, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8396, predictive_accuracy: 0.8166, prior_entropy: 0.7637, recall: 0.8166, relative_absolute_error: 1.3999, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.1651, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9375, kappa: 0.816, kb_relative_information_score: 919.1108, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9375, predictive_accuracy: 0.9386, prior_entropy: 0.7637, recall: 0.9386, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.5969, scimark_benchmark: 1327.9121, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.9273, kappa: 0.7917, kb_relative_information_score: 801.8927, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9287, predictive_accuracy: 0.9265, prior_entropy: 0.7637, recall: 0.9265, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5908, scimark_benchmark: 1340.4336, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9185, kappa: 0.7629, kb_relative_information_score: 729.657, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9183, predictive_accuracy: 0.9187, prior_entropy: 0.7637, recall: 0.9187, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5516, scimark_benchmark: 1305.7138, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9346, kappa: 0.8089, kb_relative_information_score: 833.3857, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9343, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5149, scimark_benchmark: 1318.5627, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9379, kappa: 0.8156, kb_relative_information_score: 686.9034, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9387, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.5537, scimark_benchmark: 1292.1375, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9309, kappa: 0.7999, kb_relative_information_score: 859.9246, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.931, predictive_accuracy: 0.9308, prior_entropy: 0.7637, recall: 0.9308, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.539, scimark_benchmark: 1330.0694, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9279, kappa: 0.7927, kb_relative_information_score: 836.4089, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9288, predictive_accuracy: 0.9273, prior_entropy: 0.7637, recall: 0.9273, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.234, root_relative_squared_error: 0.5636, scimark_benchmark: 1404.1865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9238, kappa: 0.7813, kb_relative_information_score: 815.6596, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.925, predictive_accuracy: 0.923, prior_entropy: 0.7637, recall: 0.923, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.6001, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9431, kappa: 0.833, kb_relative_information_score: 882.2231, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.943, predictive_accuracy: 0.9438, prior_entropy: 0.7637, recall: 0.9438, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4915, scimark_benchmark: 1287.514, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9435, kappa: 0.8353, kb_relative_information_score: 875.883, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9433, predictive_accuracy: 0.9438, prior_entropy: 0.7637, recall: 0.9438, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.5044, scimark_benchmark: 1363.454, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.9278, kappa: 0.7897, kb_relative_information_score: 879.2959, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9276, predictive_accuracy: 0.9282, prior_entropy: 0.7637, recall: 0.9282, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.268, root_relative_squared_error: 0.6453, scimark_benchmark: 1442.7264, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.769, kappa: 0.268, kb_relative_information_score: 461.2398, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8421, predictive_accuracy: 0.8192, prior_entropy: 0.7637, recall: 0.8192, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.024, scimark_benchmark: 1333.5799, usercpu_time_millis: 750, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.9078, kappa: 0.7269, kb_relative_information_score: 809.6199, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9076, predictive_accuracy: 0.91, prior_entropy: 0.7637, recall: 0.91, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.7224, scimark_benchmark: 1250.8301, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9472, kappa: 0.8443, kb_relative_information_score: 906.7954, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9474, predictive_accuracy: 0.9481, prior_entropy: 0.7637, recall: 0.9481, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4725, scimark_benchmark: 930.5999, usercpu_time_millis: 830, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.9513, kappa: 0.8579, kb_relative_information_score: 968.8794, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9511, predictive_accuracy: 0.9516, prior_entropy: 0.7637, recall: 0.9516, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.5301, scimark_benchmark: 939.449, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9356, kappa: 0.8097, kb_relative_information_score: 832.501, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9358, predictive_accuracy: 0.9369, prior_entropy: 0.7637, recall: 0.9369, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.5107, scimark_benchmark: 934.4732, usercpu_time_millis: 132390, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 131930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9229, kappa: 0.7735, kb_relative_information_score: 862.7064, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9225, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6645, scimark_benchmark: 1337.7959, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9297, kappa: 0.7954, kb_relative_information_score: 837.2535, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9295, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5509, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9343, kappa: 0.8073, kb_relative_information_score: 837.3753, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9341, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.5361, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.939, kappa: 0.8219, kb_relative_information_score: 866.0334, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9388, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.5173, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9451, kappa: 0.8395, kb_relative_information_score: 898.7121, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9449, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.5261, scimark_benchmark: 1350.9691, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9449, kappa: 0.8386, kb_relative_information_score: 838.3851, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9448, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.482, scimark_benchmark: 1319.5177, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8982, kappa: 0.7056, kb_relative_information_score: 763.9409, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8985, predictive_accuracy: 0.8979, prior_entropy: 0.7637, recall: 0.8979, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.7085, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9252, kappa: 0.7818, kb_relative_information_score: 798.8388, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9249, predictive_accuracy: 0.9256, prior_entropy: 0.7637, recall: 0.9256, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.5868, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9351, kappa: 0.8096, kb_relative_information_score: 856.4624, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9349, predictive_accuracy: 0.936, prior_entropy: 0.7637, recall: 0.936, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.5691, scimark_benchmark: 1330.2678, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.8951, kappa: 0.6883, kb_relative_information_score: 763.1692, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8947, predictive_accuracy: 0.8979, prior_entropy: 0.7637, recall: 0.8979, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.7694, scimark_benchmark: 1291.6995, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8921, kappa: 0.6854, kb_relative_information_score: 743.2618, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.8916, predictive_accuracy: 0.8927, prior_entropy: 0.7637, recall: 0.8927, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.7888, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9256, kappa: 0.7868, kb_relative_information_score: 823.1853, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.927, predictive_accuracy: 0.9247, prior_entropy: 0.7637, recall: 0.9247, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.579, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.9149, kappa: 0.75, kb_relative_information_score: 832.8452, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9144, predictive_accuracy: 0.9161, prior_entropy: 0.7637, recall: 0.9161, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6976, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9297, kappa: 0.7954, kb_relative_information_score: 885.9317, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9295, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.6375, scimark_benchmark: 1353.5686, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.6816, kb_relative_information_score: -0.878, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.6061, predictive_accuracy: 0.7785, prior_entropy: 0.7637, recall: 0.7785, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.4152, root_relative_squared_error: 1, scimark_benchmark: 1505.597,

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