OpenML
Supervised Classification on confidence

Supervised Classification on confidence

Task 4583 Supervised Classification confidence 226 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8374, kappa: 0.3769, kb_relative_information_score: 0.3227, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.2838, weighted_recall: 0.85, number_of_instances: 720, precision: 0.8328, predictive_accuracy: 0.85, prior_entropy: 0.6504, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.7823, scimark_benchmark: 931.1106, unweighted_recall: 0.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8597, kappa: 0.4614, kb_relative_information_score: 0.2159, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.2838, weighted_recall: 0.8708, number_of_instances: 720, precision: 0.858, predictive_accuracy: 0.8708, prior_entropy: 0.6504, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.8172, scimark_benchmark: 979.7764, unweighted_recall: 0.6992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, f_measure: 0.8489, kappa: 0.3873, kb_relative_information_score: 175.1711, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8945, predictive_accuracy: 0.8792, prior_entropy: 0.6705, recall: 0.8792, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.8982, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8571, kappa: 0.4492, kb_relative_information_score: 194.1491, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8559, predictive_accuracy: 0.8694, prior_entropy: 0.6705, recall: 0.8694, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.8394, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8604, kappa: 0.5, kb_relative_information_score: 263.0381, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8611, predictive_accuracy: 0.8597, prior_entropy: 0.6705, recall: 0.8597, relative_absolute_error: 0.5289, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.9102, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7576, kb_relative_information_score: 199.5208, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0951, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8243, kappa: 0.2991, kb_relative_information_score: 108.3582, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8282, predictive_accuracy: 0.8514, prior_entropy: 0.6705, recall: 0.8514, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.8738, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8829, kappa: 0.5345, kb_relative_information_score: 117.6044, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.9063, predictive_accuracy: 0.9, prior_entropy: 0.6705, recall: 0.9, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.302, root_relative_squared_error: 0.8101, scimark_benchmark: 936.8075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8776, kappa: 0.513, kb_relative_information_score: 137.3952, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.9005, predictive_accuracy: 0.8958, prior_entropy: 0.6705, recall: 0.8958, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.7606, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8374, kappa: 0.3769, kb_relative_information_score: 225.3848, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8328, predictive_accuracy: 0.85, prior_entropy: 0.6705, recall: 0.85, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.7823, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7576, kb_relative_information_score: 199.5208, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0951, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7576, kb_relative_information_score: 199.5208, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0951, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8374, kappa: 0.3769, kb_relative_information_score: 225.3848, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8328, predictive_accuracy: 0.85, prior_entropy: 0.6705, recall: 0.85, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.7823, scimark_benchmark: 937.5117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, f_measure: 0.8489, kappa: 0.3873, kb_relative_information_score: 175.1711, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8945, predictive_accuracy: 0.8792, prior_entropy: 0.6705, recall: 0.8792, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.8982, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8571, kappa: 0.4492, kb_relative_information_score: 194.1491, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8559, predictive_accuracy: 0.8694, prior_entropy: 0.6705, recall: 0.8694, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.8394, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8604, kappa: 0.5, kb_relative_information_score: 263.0381, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8611, predictive_accuracy: 0.8597, prior_entropy: 0.6705, recall: 0.8597, relative_absolute_error: 0.5289, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.9102, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7576, kb_relative_information_score: 199.5208, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0951, scimark_benchmark: 937.5683, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7576, kb_relative_information_score: 199.5208, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0951, scimark_benchmark: 926.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8243, kappa: 0.2991, kb_relative_information_score: 108.3582, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8282, predictive_accuracy: 0.8514, prior_entropy: 0.6705, recall: 0.8514, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.8738, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8829, kappa: 0.5345, kb_relative_information_score: 117.6044, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.9063, predictive_accuracy: 0.9, prior_entropy: 0.6705, recall: 0.9, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.302, root_relative_squared_error: 0.8101, scimark_benchmark: 931.7096, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8776, kappa: 0.513, kb_relative_information_score: 137.3952, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.9005, predictive_accuracy: 0.8958, prior_entropy: 0.6705, recall: 0.8958, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.7606, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8374, kappa: 0.3769, kb_relative_information_score: 225.3848, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8328, predictive_accuracy: 0.85, prior_entropy: 0.6705, recall: 0.85, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.7823, scimark_benchmark: 938.988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8126, kappa: 0.2738, kb_relative_information_score: 151.4742, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.805, predictive_accuracy: 0.8306, prior_entropy: 0.6705, recall: 0.8306, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.8676, scimark_benchmark: 934.7923, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8198, kappa: 0.3008, kb_relative_information_score: 151.83, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8136, predictive_accuracy: 0.8375, prior_entropy: 0.6705, recall: 0.8375, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.8679, scimark_benchmark: 936.3373, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8167, kappa: 0.2913, kb_relative_information_score: 148.0234, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8096, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.8669, scimark_benchmark: 933.4823, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.8168, kappa: 0.2863, kb_relative_information_score: 145.6487, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8105, predictive_accuracy: 0.8361, prior_entropy: 0.6705, recall: 0.8361, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.8767, scimark_benchmark: 891.6381, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8206, kappa: 0.3086, kb_relative_information_score: 153.1705, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.814, predictive_accuracy: 0.8361, prior_entropy: 0.6705, recall: 0.8361, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.8759, scimark_benchmark: 921.466, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8328, kappa: 0.3555, kb_relative_information_score: 250.5112, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.828, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.8522, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8328, kappa: 0.3555, kb_relative_information_score: 250.5112, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.828, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.8522, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8328, kappa: 0.3555, kb_relative_information_score: 250.5112, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.828, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.8522, scimark_benchmark: 936.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8328, kappa: 0.3555, kb_relative_information_score: 250.5112, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.828, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.8522, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8328, kappa: 0.3555, kb_relative_information_score: 250.5112, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.828, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.8522, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4333, f_measure: 0.7576, kb_relative_information_score: -14.7627, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0018, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.8427, kappa: 0.4023, kb_relative_information_score: 256.2434, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8382, predictive_accuracy: 0.8528, prior_entropy: 0.6705, recall: 0.8528, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, f_measure: 0.8489, kappa: 0.3873, kb_relative_information_score: 175.1711, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8945, predictive_accuracy: 0.8792, prior_entropy: 0.6705, recall: 0.8792, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.8982, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8243, kappa: 0.2991, kb_relative_information_score: 108.3582, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8282, predictive_accuracy: 0.8514, prior_entropy: 0.6705, recall: 0.8514, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.8738, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8829, kappa: 0.5345, kb_relative_information_score: 117.6044, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.9063, predictive_accuracy: 0.9, prior_entropy: 0.6705, recall: 0.9, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.302, root_relative_squared_error: 0.8101, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7576, kb_relative_information_score: 199.5208, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0951, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.819, kappa: 0.3515, kb_relative_information_score: 3.9595, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8199, predictive_accuracy: 0.8181, prior_entropy: 0.6705, recall: 0.8181, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.9345, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8243, kappa: 0.2991, kb_relative_information_score: 108.3582, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8282, predictive_accuracy: 0.8514, prior_entropy: 0.6705, recall: 0.8514, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.8738, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8646, kappa: 0.4545, kb_relative_information_score: 174.1558, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.902, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8776, kappa: 0.513, kb_relative_information_score: 137.3952, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.9005, predictive_accuracy: 0.8958, prior_entropy: 0.6705, recall: 0.8958, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.7606, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8374, kappa: 0.3769, kb_relative_information_score: 225.3848, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8328, predictive_accuracy: 0.85, prior_entropy: 0.6705, recall: 0.85, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.7823, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8608, kappa: 0.4651, kb_relative_information_score: 149.5442, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.2838, number_of_instances: 720, precision: 0.8596, predictive_accuracy: 0.8722, prior_entropy: 0.6705, recall: 0.8722, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.8151, scimark_benchmark: 1334.8032,

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