OpenML
Supervised Classification on puma8NH

Supervised Classification on puma8NH

Task 3681 Supervised Classification puma8NH 553 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: 0.8447, f_measure: 0.7964, kappa: 0.593, kb_relative_information_score: 3296.4024, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7968, predictive_accuracy: 0.7965, prior_entropy: 1, recall: 0.7965, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7913, scimark_benchmark: 924.6116, usercpu_time_millis: 1730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7994, kappa: 0.599, kb_relative_information_score: 3248.1223, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8001, predictive_accuracy: 0.7996, prior_entropy: 1, recall: 0.7996, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934, scimark_benchmark: 945.6434, usercpu_time_millis: 840, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8021, kappa: 0.6048, kb_relative_information_score: 3241.9648, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8043, predictive_accuracy: 0.8025, prior_entropy: 1, recall: 0.8025, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7938, scimark_benchmark: 947.9494, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8046, kappa: 0.6102, kb_relative_information_score: 3159.616, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8084, predictive_accuracy: 0.8052, prior_entropy: 1, recall: 0.8052, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.7997, scimark_benchmark: 931.2336, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3358, kb_relative_information_score: -0.0013, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2522, predictive_accuracy: 0.5022, prior_entropy: 1, recall: 0.5022, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8238, kappa: 0.648, kb_relative_information_score: 3258.0634, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8254, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.392, root_relative_squared_error: 0.784, scimark_benchmark: 929.566, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7522, kappa: 0.5052, kb_relative_information_score: 2884.8618, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7543, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.68, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8239, scimark_benchmark: 930.32, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8072, kappa: 0.6149, kb_relative_information_score: 4439.3374, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8088, predictive_accuracy: 0.8075, prior_entropy: 1, recall: 0.8075, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7423, scimark_benchmark: 902.4773, usercpu_time_millis: 990, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7855, kappa: 0.5712, kb_relative_information_score: 3164.1345, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7864, predictive_accuracy: 0.7856, prior_entropy: 1, recall: 0.7856, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8099, scimark_benchmark: 932.3943, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8046, kappa: 0.6102, kb_relative_information_score: 3159.616, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8084, predictive_accuracy: 0.8052, prior_entropy: 1, recall: 0.8052, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.7997, scimark_benchmark: 911.0478, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3358, kb_relative_information_score: 35.7728, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2522, predictive_accuracy: 0.5022, prior_entropy: 1, recall: 0.5022, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7056, root_relative_squared_error: 1.4111, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8255, kappa: 0.6511, kb_relative_information_score: 4381.0464, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8256, prior_entropy: 1, recall: 0.8256, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7308, scimark_benchmark: 904.3001, usercpu_time_millis: 260, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8266, kappa: 0.6533, kb_relative_information_score: 2574.6062, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8269, predictive_accuracy: 0.8267, prior_entropy: 1, recall: 0.8267, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7906, scimark_benchmark: 947.9494, usercpu_time_millis: 35490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 35470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.6995, kappa: 0.4043, kb_relative_information_score: 1705.1752, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.709, predictive_accuracy: 0.7019, prior_entropy: 1, recall: 0.7019, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.8968, scimark_benchmark: 901.0726, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.4456, kappa: 0.0874, kb_relative_information_score: 743.7925, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6541, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6742, root_relative_squared_error: 1.3485, scimark_benchmark: 941.7954, usercpu_time_millis: 140780, usercpu_time_millis_testing: 13350, usercpu_time_millis_training: 127430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8247, kappa: 0.6494, kb_relative_information_score: 5319.92, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8248, predictive_accuracy: 0.8247, prior_entropy: 1, recall: 0.8247, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8374, scimark_benchmark: 941.8057, usercpu_time_millis: 81460, usercpu_time_millis_testing: 7370, usercpu_time_millis_training: 74090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7443, kappa: 0.4885, kb_relative_information_score: 3842.292, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7443, predictive_accuracy: 0.7443, prior_entropy: 1, recall: 0.7443, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8819, scimark_benchmark: 929.566, usercpu_time_millis: 66900, usercpu_time_millis_testing: 66880, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.8168, kappa: 0.6335, kb_relative_information_score: 5194.0818, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8168, predictive_accuracy: 0.8168, prior_entropy: 1, recall: 0.8168, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8483, scimark_benchmark: 889.9795, usercpu_time_millis: 58210, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 57130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.821, kappa: 0.6421, kb_relative_information_score: 5257.2082, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8211, predictive_accuracy: 0.821, prior_entropy: 1, recall: 0.821, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8433, scimark_benchmark: 929.566, usercpu_time_millis: 124710, usercpu_time_millis_testing: 2240, usercpu_time_millis_training: 122470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7933, kappa: 0.5867, kb_relative_information_score: 4787.4217, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7933, predictive_accuracy: 0.7933, prior_entropy: 1, recall: 0.7933, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8549, scimark_benchmark: 927.0753, usercpu_time_millis: 34650, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 34600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7855, kappa: 0.5718, kb_relative_information_score: 3296.524, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7884, predictive_accuracy: 0.786, prior_entropy: 1, recall: 0.786, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8, scimark_benchmark: 947.0793, usercpu_time_millis: 1100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8203, kappa: 0.6406, kb_relative_information_score: 4534.8047, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8205, predictive_accuracy: 0.8203, prior_entropy: 1, recall: 0.8203, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.356, root_relative_squared_error: 0.712, scimark_benchmark: 935.8986, usercpu_time_millis: 4330, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8059, kappa: 0.6122, kb_relative_information_score: 3393.9924, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 1, recall: 0.8062, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.765, scimark_benchmark: 904.3001, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8247, kappa: 0.6494, kb_relative_information_score: 5319.92, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8248, predictive_accuracy: 0.8247, prior_entropy: 1, recall: 0.8247, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8374, scimark_benchmark: 928.4036, usercpu_time_millis: 96900, usercpu_time_millis_testing: 9530, usercpu_time_millis_training: 87370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8272, kappa: 0.6546, kb_relative_information_score: 5361.9211, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8277, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8312, scimark_benchmark: 799.2185, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, build_cpu_time: 8.1091, build_memory: 1413909665.2598, f_measure: 0.8252, kappa: 0.6504, kb_relative_information_score: 3969.2197, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8252, predictive_accuracy: 0.8252, prior_entropy: 1, recall: 0.8252, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7582, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, build_cpu_time: 7.4623, build_memory: 861246572.0928, f_measure: 0.8252, kappa: 0.6504, kb_relative_information_score: 3969.2197, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8252, predictive_accuracy: 0.8252, prior_entropy: 1, recall: 0.8252, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7582, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, build_cpu_time: 7.4601, build_memory: 1621323927.8438, f_measure: 0.8252, kappa: 0.6504, kb_relative_information_score: 3969.2197, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8252, predictive_accuracy: 0.8252, prior_entropy: 1, recall: 0.8252, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7582, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, build_cpu_time: 7.0297, build_memory: 1207897283.584, f_measure: 0.8252, kappa: 0.6504, kb_relative_information_score: 3969.2211, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8252, predictive_accuracy: 0.8252, prior_entropy: 1, recall: 0.8252, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7582, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, build_cpu_time: 1.5569, build_memory: 589778447.3672, f_measure: 0.7975, kappa: 0.595, kb_relative_information_score: 4607.2945, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7975, predictive_accuracy: 0.7975, prior_entropy: 1, recall: 0.7975, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.41, root_relative_squared_error: 0.82, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, build_cpu_time: 3.5846, build_memory: 524265947.1748, f_measure: 0.7981, kappa: 0.5962, kb_relative_information_score: 4765.9445, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7981, predictive_accuracy: 0.7981, prior_entropy: 1, recall: 0.7981, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8353, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, build_cpu_time: 7.1369, build_memory: 132538376.2656, f_measure: 0.7965, kappa: 0.593, kb_relative_information_score: 4838.7136, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7965, predictive_accuracy: 0.7965, prior_entropy: 1, recall: 0.7965, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8525, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, build_cpu_time: 15.2297, build_memory: 130638041.9775, f_measure: 0.8071, kappa: 0.6142, kb_relative_information_score: 5010.528, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8071, predictive_accuracy: 0.8071, prior_entropy: 1, recall: 0.8071, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8493, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, build_cpu_time: 27.1465, build_memory: 380045323.7773, f_measure: 0.809, kappa: 0.6179, kb_relative_information_score: 5067.2126, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 1, recall: 0.809, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8548, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, build_cpu_time: 0.1099, build_memory: 1279721364.1309, f_measure: 0.7577, kappa: 0.5154, kb_relative_information_score: 4221.8894, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7577, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9845, scimark_benchmark: 915.3856,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, build_cpu_time: 4.8091, build_memory: 814137778.8955, f_measure: 0.8313, kappa: 0.6626, kb_relative_information_score: 4463.5121, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8315, predictive_accuracy: 0.8313, prior_entropy: 1, recall: 0.8313, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.6973, scimark_benchmark: 942.4411,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, build_cpu_time: 0.6404, build_memory: 778184220.3096, f_measure: 0.8261, kappa: 0.6523, kb_relative_information_score: 4527.3871, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8263, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.703, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, build_cpu_time: 0.3135, build_memory: 216415345.7373, f_measure: 0.7439, kappa: 0.4877, kb_relative_information_score: 2887.7679, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.744, predictive_accuracy: 0.7439, prior_entropy: 1, recall: 0.7439, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.821, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, build_cpu_time: 0.0345, build_memory: 839791384.2969, f_measure: 0.663, kappa: 0.3266, kb_relative_information_score: 2673.8463, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6638, predictive_accuracy: 0.6632, prior_entropy: 1, recall: 0.6632, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1607, scimark_benchmark: 893.9645,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.0011, build_memory: 1089291170.5723, f_measure: 0.3358, kb_relative_information_score: -0.0013, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2522, predictive_accuracy: 0.5022, prior_entropy: 1, recall: 0.5022, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.001, build_memory: 171627640.8096, f_measure: 0.3358, kb_relative_information_score: -0.0013, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2522, predictive_accuracy: 0.5022, prior_entropy: 1, recall: 0.5022, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, build_cpu_time: 0.023, build_memory: 436682930.1455, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6049, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, build_cpu_time: 0.022, build_memory: 211146939.9121, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6049, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893, scimark_benchmark: 922.2602,

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