OpenML
Supervised Classification on primary-tumor

Supervised Classification on primary-tumor

Task 3866 Supervised Classification primary-tumor 554 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8453, kappa: 0.5654, kb_relative_information_score: 141.9218, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8508, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.7902, scimark_benchmark: 1318.8785, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7822, kappa: 0.3928, kb_relative_information_score: 101.9096, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7792, predictive_accuracy: 0.7935, prior_entropy: 0.8101, recall: 0.7935, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9102, scimark_benchmark: 1338.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7972, kappa: 0.4298, kb_relative_information_score: 125.956, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7981, predictive_accuracy: 0.8112, prior_entropy: 0.8101, recall: 0.8112, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.8834, scimark_benchmark: 1316.5986, usercpu_time_millis: 350, usercpu_time_millis_testing: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.802, kappa: 0.4496, kb_relative_information_score: 119.7093, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7999, predictive_accuracy: 0.8112, prior_entropy: 0.8101, recall: 0.8112, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.8845, scimark_benchmark: 1319.4881, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7735, kappa: 0.3479, kb_relative_information_score: 70.3961, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.834, predictive_accuracy: 0.8142, prior_entropy: 0.8101, recall: 0.8142, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.366, root_relative_squared_error: 0.8478, scimark_benchmark: 1413.089, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7822, kappa: 0.3928, kb_relative_information_score: 101.9096, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7792, predictive_accuracy: 0.7935, prior_entropy: 0.8101, recall: 0.7935, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9102, scimark_benchmark: 1346.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8504, kappa: 0.5876, kb_relative_information_score: 143.924, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8498, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7866, scimark_benchmark: 1384.4422, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8122, kappa: 0.4847, kb_relative_information_score: 79.03, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8097, predictive_accuracy: 0.8171, prior_entropy: 0.8101, recall: 0.8171, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.8675, scimark_benchmark: 1328.8457, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8519, kappa: 0.5944, kb_relative_information_score: 163.5602, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8507, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7458, scimark_benchmark: 1350.4702, usercpu_time_millis: 880, usercpu_time_millis_testing: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.7969, kappa: 0.4373, kb_relative_information_score: 141.0319, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7942, predictive_accuracy: 0.8053, prior_entropy: 0.8101, recall: 0.8053, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.022, scimark_benchmark: 1296.8947, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0984, kb_relative_information_score: -211.9757, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 0.8101, recall: 0.2478, relative_absolute_error: 1.3386, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1581, scimark_benchmark: 937.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.8379, kappa: 0.5436, kb_relative_information_score: 185.8009, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8445, predictive_accuracy: 0.8496, prior_entropy: 0.8101, recall: 0.8496, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8984, scimark_benchmark: 1316.7714, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.855, kappa: 0.5976, kb_relative_information_score: 129.9552, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.856, predictive_accuracy: 0.8614, prior_entropy: 0.8101, recall: 0.8614, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7761, scimark_benchmark: 1360.2999, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.8364, kappa: 0.5512, kb_relative_information_score: 119.9811, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8348, predictive_accuracy: 0.8407, prior_entropy: 0.8101, recall: 0.8407, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.8517, scimark_benchmark: 896.937, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.8443, kappa: 0.5707, kb_relative_information_score: 94.2661, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8434, predictive_accuracy: 0.8496, prior_entropy: 0.8101, recall: 0.8496, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.8002, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.8462, kappa: 0.5693, kb_relative_information_score: 186.0401, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8502, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.8281, scimark_benchmark: 1341.4981, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7711, kappa: 0.341, kb_relative_information_score: 71.8607, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8416, predictive_accuracy: 0.8142, prior_entropy: 0.8101, recall: 0.8142, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.8461, scimark_benchmark: 1337.6765, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7687, kappa: 0.3341, kb_relative_information_score: 71.0702, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8313, predictive_accuracy: 0.8112, prior_entropy: 0.8101, recall: 0.8112, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.8473, scimark_benchmark: 1312.0581, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.862, kappa: 0.624, kb_relative_information_score: 167.9435, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8608, predictive_accuracy: 0.8643, prior_entropy: 0.8101, recall: 0.8643, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.7453, scimark_benchmark: 1309.4998, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8232, kappa: 0.5077, kb_relative_information_score: 115.3313, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8229, predictive_accuracy: 0.8319, prior_entropy: 0.8101, recall: 0.8319, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7887, scimark_benchmark: 1307.3764, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.7511, kappa: 0.306, kb_relative_information_score: 84.8136, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7456, predictive_accuracy: 0.764, prior_entropy: 0.8101, recall: 0.764, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045, scimark_benchmark: 1327.4713, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.7511, kappa: 0.306, kb_relative_information_score: 84.8136, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7456, predictive_accuracy: 0.764, prior_entropy: 0.8101, recall: 0.764, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.045, scimark_benchmark: 924.1296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7822, kappa: 0.3928, kb_relative_information_score: 101.9096, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7792, predictive_accuracy: 0.7935, prior_entropy: 0.8101, recall: 0.7935, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9102, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.8558, kappa: 0.601, kb_relative_information_score: 197.7393, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.856, predictive_accuracy: 0.8614, prior_entropy: 0.8101, recall: 0.8614, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.8625, scimark_benchmark: 1339.944, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8565, kappa: 0.6044, kb_relative_information_score: 104.3208, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8562, predictive_accuracy: 0.8614, prior_entropy: 0.8101, recall: 0.8614, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7896, scimark_benchmark: 1335.693, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8504, kappa: 0.5876, kb_relative_information_score: 143.982, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8498, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7867, scimark_benchmark: 1419.2433, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.8497, kappa: 0.584, kb_relative_information_score: 191.7701, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8496, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.8806, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7571, kappa: 0.3748, kb_relative_information_score: 46.2847, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7697, predictive_accuracy: 0.7493, prior_entropy: 0.8101, recall: 0.7493, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.9329, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.826, kappa: 0.5259, kb_relative_information_score: 144.1126, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8241, predictive_accuracy: 0.8289, prior_entropy: 0.8101, recall: 0.8289, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8765, scimark_benchmark: 1323.976, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8303, kappa: 0.5291, kb_relative_information_score: 134.1412, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8298, predictive_accuracy: 0.8378, prior_entropy: 0.8101, recall: 0.8378, relative_absolute_error: 0.5823, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.8108, scimark_benchmark: 1334.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7847, kappa: 0.3988, kb_relative_information_score: 104.7056, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7821, predictive_accuracy: 0.7965, prior_entropy: 0.8101, recall: 0.7965, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.9036, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8453, kappa: 0.5654, kb_relative_information_score: 141.9218, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8508, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.7902, scimark_benchmark: 1339.4189, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.8443, kappa: 0.5707, kb_relative_information_score: 94.2661, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8434, predictive_accuracy: 0.8496, prior_entropy: 0.8101, recall: 0.8496, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.8002, scimark_benchmark: 1327.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7662, kappa: 0.327, kb_relative_information_score: 68.3386, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8392, predictive_accuracy: 0.8112, prior_entropy: 0.8101, recall: 0.8112, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.8519, scimark_benchmark: 1361.2664, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8418, kappa: 0.5595, kb_relative_information_score: 152.2846, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8429, predictive_accuracy: 0.8496, prior_entropy: 0.8101, recall: 0.8496, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.7419, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8144, kappa: 0.484, kb_relative_information_score: 114.3348, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8132, predictive_accuracy: 0.823, prior_entropy: 0.8101, recall: 0.823, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.7889, scimark_benchmark: 1366.5423, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8485, kappa: 0.5844, kb_relative_information_score: 147.0151, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8473, predictive_accuracy: 0.8525, prior_entropy: 0.8101, recall: 0.8525, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7749, scimark_benchmark: 918.6005,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.8296, kappa: 0.5447, kb_relative_information_score: 164.9087, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8303, predictive_accuracy: 0.8289, prior_entropy: 0.8101, recall: 0.8289, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.9581, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.6458, kb_relative_information_score: -0.8213, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.5658, predictive_accuracy: 0.7522, prior_entropy: 0.8101, recall: 0.7522, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0001, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7822, kappa: 0.3928, kb_relative_information_score: 101.9096, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.7792, predictive_accuracy: 0.7935, prior_entropy: 0.8101, recall: 0.7935, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9102, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.8425, kappa: 0.5678, kb_relative_information_score: 186.4841, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.841, predictive_accuracy: 0.8466, prior_entropy: 0.8101, recall: 0.8466, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8814, scimark_benchmark: 931.2336, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8382, kappa: 0.5539, kb_relative_information_score: 163.8322, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.837, predictive_accuracy: 0.8437, prior_entropy: 0.8101, recall: 0.8437, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.8357, scimark_benchmark: 945.7621, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.8365, kappa: 0.5462, kb_relative_information_score: 160.2867, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8364, predictive_accuracy: 0.8437, prior_entropy: 0.8101, recall: 0.8437, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.8241, scimark_benchmark: 942.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.8365, kappa: 0.5462, kb_relative_information_score: 160.2867, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8364, predictive_accuracy: 0.8437, prior_entropy: 0.8101, recall: 0.8437, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.8241, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8599, kappa: 0.6205, kb_relative_information_score: 192.0519, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8589, predictive_accuracy: 0.8614, prior_entropy: 0.8101, recall: 0.8614, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.8192, scimark_benchmark: 939.7623, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8493, kappa: 0.5879, kb_relative_information_score: 187.3612, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8479, predictive_accuracy: 0.8525, prior_entropy: 0.8101, recall: 0.8525, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.8363, scimark_benchmark: 876.8277, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8613, kappa: 0.6209, kb_relative_information_score: 187.1315, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8602, predictive_accuracy: 0.8643, prior_entropy: 0.8101, recall: 0.8643, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8197, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8523, kappa: 0.5908, kb_relative_information_score: 176.2977, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8528, predictive_accuracy: 0.8584, prior_entropy: 0.8101, recall: 0.8584, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.8188, scimark_benchmark: 938.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8249, kappa: 0.5275, kb_relative_information_score: 157.9947, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.824, predictive_accuracy: 0.826, prior_entropy: 0.8101, recall: 0.826, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.8615, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.862, kappa: 0.624, kb_relative_information_score: 168.483, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8608, predictive_accuracy: 0.8643, prior_entropy: 0.8101, recall: 0.8643, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.7468, scimark_benchmark: 933.8635, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.862, kappa: 0.624, kb_relative_information_score: 167.9435, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8608, predictive_accuracy: 0.8643, prior_entropy: 0.8101, recall: 0.8643, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.7453, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8647, kappa: 0.6306, kb_relative_information_score: 166.0085, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8636, predictive_accuracy: 0.8673, prior_entropy: 0.8101, recall: 0.8673, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.321, root_relative_squared_error: 0.7436, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8523, kappa: 0.5908, kb_relative_information_score: 162.8892, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8528, predictive_accuracy: 0.8584, prior_entropy: 0.8101, recall: 0.8584, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.7338, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8418, kappa: 0.5595, kb_relative_information_score: 152.2846, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8429, predictive_accuracy: 0.8496, prior_entropy: 0.8101, recall: 0.8496, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.7419, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.6458, kb_relative_information_score: -0.8213, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.5658, predictive_accuracy: 0.7522, prior_entropy: 0.8101, recall: 0.7522, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0001, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8435, kappa: 0.5671, kb_relative_information_score: 142.8792, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8431, predictive_accuracy: 0.8496, prior_entropy: 0.8101, recall: 0.8496, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.7901, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8417, kappa: 0.5642, kb_relative_information_score: 159.7111, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8405, predictive_accuracy: 0.8466, prior_entropy: 0.8101, recall: 0.8466, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.7494, scimark_benchmark: 930.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8286, kappa: 0.5266, kb_relative_information_score: 132.5057, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8272, predictive_accuracy: 0.8348, prior_entropy: 0.8101, recall: 0.8348, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.351, root_relative_squared_error: 0.8129, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.6458, kb_relative_information_score: -0.8213, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.5658, predictive_accuracy: 0.7522, prior_entropy: 0.8101, recall: 0.7522, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8497, kappa: 0.584, kb_relative_information_score: 144.1393, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.3735, number_of_instances: 339, precision: 0.8496, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5656, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.7493, scimark_benchmark: 911.0478, 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

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From your own software

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

OpenML APIs