Task
Supervised Classification on fri_c4_100_10

Supervised Classification on fri_c4_100_10

Task 3742 Supervised Classification fri_c4_100_10 769 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 38.7311, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8606, scimark_benchmark: 926.4745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.6966, kappa: 0.392, kb_relative_information_score: 40.3146, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7024, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9368, scimark_benchmark: 906.0884, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6502, kappa: 0.2983, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1854, scimark_benchmark: 928.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 935.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 44.1574, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7444, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.6498, kappa: 0.3033, kb_relative_information_score: 19.9996, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6559, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9451, scimark_benchmark: 922.5036, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 879.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.74, kappa: 0.4781, kb_relative_information_score: 42.0119, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8692, scimark_benchmark: 946.6409, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 45.9559, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7037, scimark_benchmark: 946.9304, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7073, kappa: 0.413, kb_relative_information_score: 32.6642, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7118, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9152, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6502, kappa: 0.2983, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1854, scimark_benchmark: 1324.1205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6502, kappa: 0.2983, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1854, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 44.1574, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7444, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1327.5842, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 38.7311, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8606, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.1894, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9584, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 38.7311, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8606, scimark_benchmark: 1314.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6502, kappa: 0.2983, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1854, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 44.1574, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7444, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.6498, kappa: 0.3033, kb_relative_information_score: 19.9996, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6559, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9451, scimark_benchmark: 1340.9446, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7073, kappa: 0.413, kb_relative_information_score: 32.6642, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7118, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9152, scimark_benchmark: 1340.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 38.7311, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8606, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.1894, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9584, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.1894, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9584, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1338.5214,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 44.1574, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7444, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 45.9559, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7037, scimark_benchmark: 1281.7531, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.6498, kappa: 0.3033, kb_relative_information_score: 19.9996, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6559, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9451, scimark_benchmark: 1341.5795, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 44.1574, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7444, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 45.9559, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7037, scimark_benchmark: 1352.1128, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7073, kappa: 0.413, kb_relative_information_score: 32.6642, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7118, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9152, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 38.7311, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8606, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.6966, kappa: 0.392, kb_relative_information_score: 40.3146, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7024, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9368, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.1894, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9584, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.74, kappa: 0.4781, kb_relative_information_score: 42.0119, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8692, scimark_benchmark: 1315.933, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7073, kappa: 0.413, kb_relative_information_score: 32.6642, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7118, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9152, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.1894, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9584, scimark_benchmark: 1313.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.6978, kappa: 0.3934, kb_relative_information_score: 29.216, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9552, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 45.9559, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7037, scimark_benchmark: 1311.9814, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 45.9559, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7037, scimark_benchmark: 1354.7191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs