OpenML
Supervised Classification on chscase_census3

Supervised Classification on chscase_census3

Task 4476 Supervised Classification chscase_census3 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4489, f_measure: 0.4582, kappa: -0.0842, kb_relative_information_score: -109.0259, mean_absolute_error: 0.5097, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4582, predictive_accuracy: 0.4613, prior_entropy: 0.9989, recall: 0.4613, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0504, scimark_benchmark: 1360.8502, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3557, kappa: -0.0005, kb_relative_information_score: 149.159, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2703, predictive_accuracy: 0.5198, prior_entropy: 0.9989, recall: 0.5198, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.693, root_relative_squared_error: 1.3871, scimark_benchmark: 1320.0563, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3557, kappa: -0.0005, kb_relative_information_score: 149.159, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2703, predictive_accuracy: 0.5198, prior_entropy: 0.9989, recall: 0.5198, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.693, root_relative_squared_error: 1.3871, scimark_benchmark: 1260.1387, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2711, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.4929, kappa: -0.0079, kb_relative_information_score: 0.2096, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4966, predictive_accuracy: 0.5013, prior_entropy: 0.9989, recall: 0.5013, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0094, scimark_benchmark: 1261.7298, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4835, kappa: -0.0314, kb_relative_information_score: -18.2468, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4851, predictive_accuracy: 0.4835, prior_entropy: 0.9989, recall: 0.4835, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.033, scimark_benchmark: 1295.0797, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.4652, kappa: -0.0716, kb_relative_information_score: -101.7318, mean_absolute_error: 0.5093, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4649, predictive_accuracy: 0.4665, prior_entropy: 0.9989, recall: 0.4665, relative_absolute_error: 1.0203, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.0581, scimark_benchmark: 1342.6911, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4489, f_measure: 0.4582, kappa: -0.0842, kb_relative_information_score: -109.0259, mean_absolute_error: 0.5097, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4582, predictive_accuracy: 0.4613, prior_entropy: 0.9989, recall: 0.4613, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0504, scimark_benchmark: 1357.5655, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1144.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2196, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4937, kappa: -0.0139, kb_relative_information_score: -19.7216, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4938, predictive_accuracy: 0.4958, prior_entropy: 0.9989, recall: 0.4958, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6248, root_relative_squared_error: 1.2506, scimark_benchmark: 1368.9272, usercpu_time_millis: 2390, usercpu_time_millis_testing: 2390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4835, kappa: -0.0314, kb_relative_information_score: -18.2468, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4851, predictive_accuracy: 0.4835, prior_entropy: 0.9989, recall: 0.4835, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.033, scimark_benchmark: 1327.5791, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.403, f_measure: 0.4367, kappa: -0.1286, kb_relative_information_score: -369.0127, mean_absolute_error: 0.5411, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4363, predictive_accuracy: 0.4383, prior_entropy: 0.9989, recall: 0.4383, relative_absolute_error: 1.0839, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.1923, scimark_benchmark: 889.3151, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4417, f_measure: 0.4586, kappa: -0.0828, kb_relative_information_score: -99.421, mean_absolute_error: 0.5087, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4588, predictive_accuracy: 0.4623, prior_entropy: 0.9989, recall: 0.4623, relative_absolute_error: 1.0191, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5172, root_relative_squared_error: 1.0352, scimark_benchmark: 1309.4998, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4324, f_measure: 0.4548, kappa: -0.0797, kb_relative_information_score: -78.4525, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4582, predictive_accuracy: 0.4665, prior_entropy: 0.9989, recall: 0.4665, relative_absolute_error: 1.0147, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.0213, scimark_benchmark: 1342.2985, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.43, f_measure: 0.4545, kappa: -0.0803, kb_relative_information_score: -78.6521, mean_absolute_error: 0.5065, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4579, predictive_accuracy: 0.4663, prior_entropy: 0.9989, recall: 0.4663, relative_absolute_error: 1.0147, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0209, scimark_benchmark: 943.1756, usercpu_time_millis: 400, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.477, kappa: -0.039, kb_relative_information_score: -94.8014, mean_absolute_error: 0.5106, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4803, predictive_accuracy: 0.486, prior_entropy: 0.9989, recall: 0.486, relative_absolute_error: 1.0228, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6727, root_relative_squared_error: 1.3464, scimark_benchmark: 1350.4702, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4835, kappa: -0.0314, kb_relative_information_score: -18.2468, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4851, predictive_accuracy: 0.4835, prior_entropy: 0.9989, recall: 0.4835, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.033, scimark_benchmark: 1316.5986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4835, kappa: -0.0314, kb_relative_information_score: -18.2468, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4851, predictive_accuracy: 0.4835, prior_entropy: 0.9989, recall: 0.4835, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.033, scimark_benchmark: 883.2709, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4641, f_measure: 0.4373, kappa: -0.0428, kb_relative_information_score: -50.3646, mean_absolute_error: 0.5043, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4679, predictive_accuracy: 0.4915, prior_entropy: 0.9989, recall: 0.4915, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0207, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4718, f_measure: 0.441, kappa: -0.0383, kb_relative_information_score: -30.4485, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4717, predictive_accuracy: 0.4935, prior_entropy: 0.9989, recall: 0.4935, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0097, scimark_benchmark: 1293.6566, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5153, kappa: 0.0318, kb_relative_information_score: -32.5191, mean_absolute_error: 0.5028, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.5168, predictive_accuracy: 0.5153, prior_entropy: 0.9989, recall: 0.5153, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.0212, scimark_benchmark: 1330.2021, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4522, kappa: -0.0544, kb_relative_information_score: -58.4717, mean_absolute_error: 0.5054, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4671, predictive_accuracy: 0.4828, prior_entropy: 0.9989, recall: 0.4828, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5152, root_relative_squared_error: 1.0313, scimark_benchmark: 833.3193, usercpu_time_millis: 430, usercpu_time_millis_testing: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4835, kappa: -0.0314, kb_relative_information_score: -18.2468, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4851, predictive_accuracy: 0.4835, prior_entropy: 0.9989, recall: 0.4835, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.033, scimark_benchmark: 1319.4881, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2451, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 934.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4944, kappa: -0.0129, kb_relative_information_score: -53.1276, mean_absolute_error: 0.5055, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4944, predictive_accuracy: 0.4945, prior_entropy: 0.9989, recall: 0.4945, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.709, root_relative_squared_error: 1.4192, scimark_benchmark: 898.1296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4944, kappa: -0.0129, kb_relative_information_score: -53.3034, mean_absolute_error: 0.5055, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4944, predictive_accuracy: 0.4945, prior_entropy: 0.9989, recall: 0.4945, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.711, root_relative_squared_error: 1.4231, scimark_benchmark: 1328.8457, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, f_measure: 0.4269, kappa: -0.0288, kb_relative_information_score: -25.5204, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4782, predictive_accuracy: 0.4738, prior_entropy: 0.9989, recall: 0.4738, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0232, scimark_benchmark: 1345.4669,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4781, f_measure: 0.4793, kappa: -0.0385, kb_relative_information_score: -43.0052, mean_absolute_error: 0.5034, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.481, predictive_accuracy: 0.4853, prior_entropy: 0.9989, recall: 0.4853, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0237, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4761, f_measure: 0.4743, kappa: -0.0431, kb_relative_information_score: -40.6956, mean_absolute_error: 0.5031, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.478, predictive_accuracy: 0.4843, prior_entropy: 0.9989, recall: 0.4843, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0201, scimark_benchmark: 1336.3256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.4819, kappa: -0.0369, kb_relative_information_score: -69.6614, mean_absolute_error: 0.5065, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4822, predictive_accuracy: 0.4848, prior_entropy: 0.9989, recall: 0.4848, relative_absolute_error: 1.0147, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.1031, scimark_benchmark: 937.1527, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.5038, kappa: 0.0059, kb_relative_information_score: 23.478, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.5038, predictive_accuracy: 0.5053, prior_entropy: 0.9989, recall: 0.5053, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.567, root_relative_squared_error: 1.1349, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5002, kb_relative_information_score: -9.2027, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.5008, predictive_accuracy: 0.5, prior_entropy: 0.9989, recall: 0.5, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4153, scimark_benchmark: 854.5188, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3567, kappa: 0.0001, kb_relative_information_score: 151.1636, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.5104, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1287.514, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.4379, kappa: -0.0395, kb_relative_information_score: -63.3263, mean_absolute_error: 0.5068, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.47, predictive_accuracy: 0.4933, prior_entropy: 0.9989, recall: 0.4933, relative_absolute_error: 1.0151, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7119, root_relative_squared_error: 1.4249, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4718, f_measure: 0.441, kappa: -0.0383, kb_relative_information_score: -30.4485, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4717, predictive_accuracy: 0.4935, prior_entropy: 0.9989, recall: 0.4935, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0097, scimark_benchmark: 944.5495, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.5055, kappa: 0.029, kb_relative_information_score: 163.1911, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.517, predictive_accuracy: 0.5215, prior_entropy: 0.9989, recall: 0.5215, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6917, root_relative_squared_error: 1.3846, scimark_benchmark: 1331.6907, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.5055, kappa: 0.029, kb_relative_information_score: 163.1911, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.517, predictive_accuracy: 0.5215, prior_entropy: 0.9989, recall: 0.5215, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6917, root_relative_squared_error: 1.3846, scimark_benchmark: 908.2231, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4588, f_measure: 0.4581, kappa: -0.0805, kb_relative_information_score: -71.4011, mean_absolute_error: 0.506, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4592, predictive_accuracy: 0.4645, prior_entropy: 0.9989, recall: 0.4645, relative_absolute_error: 1.0136, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0328, scimark_benchmark: 934.1747, usercpu_time_millis: 3450, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4489, f_measure: 0.4582, kappa: -0.0842, kb_relative_information_score: -109.0259, mean_absolute_error: 0.5097, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4582, predictive_accuracy: 0.4613, prior_entropy: 0.9989, recall: 0.4613, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0504, scimark_benchmark: 825.5282, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.4955, kappa: -0.0109, kb_relative_information_score: -43.2805, mean_absolute_error: 0.5043, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4953, predictive_accuracy: 0.4958, prior_entropy: 0.9989, recall: 0.4958, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7101, root_relative_squared_error: 1.4213, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.4832, kappa: -0.022, kb_relative_information_score: -49.4141, mean_absolute_error: 0.5042, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4889, predictive_accuracy: 0.4953, prior_entropy: 0.9989, recall: 0.4953, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.0946, scimark_benchmark: 1307.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4704, f_measure: 0.4104, kappa: -0.0315, kb_relative_information_score: -52.3097, mean_absolute_error: 0.5047, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4637, predictive_accuracy: 0.5003, prior_entropy: 0.9989, recall: 0.5003, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.043, scimark_benchmark: 1319.6463, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4838, f_measure: 0.4847, kappa: -0.0325, kb_relative_information_score: -123.4637, mean_absolute_error: 0.5143, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4845, predictive_accuracy: 0.4858, prior_entropy: 0.9989, recall: 0.4858, relative_absolute_error: 1.0301, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7171, root_relative_squared_error: 1.4354, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.4305, kappa: -0.0081, kb_relative_information_score: 78.9988, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4922, predictive_accuracy: 0.511, prior_entropy: 0.9989, recall: 0.511, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6993, root_relative_squared_error: 1.3997, scimark_benchmark: 1332.4146, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2196, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4536, f_measure: 0.4546, kappa: -0.093, kb_relative_information_score: -368.0222, mean_absolute_error: 0.5448, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4543, predictive_accuracy: 0.4553, prior_entropy: 0.9989, recall: 0.4553, relative_absolute_error: 1.0912, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7381, root_relative_squared_error: 1.4773, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4776, kappa: -0.029, kb_relative_information_score: -69.34, mean_absolute_error: 0.5075, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.4849, predictive_accuracy: 0.4925, prior_entropy: 0.9989, recall: 0.4925, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7124, root_relative_squared_error: 1.4259, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2711, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.2196, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 4000, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, 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