OpenML
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8479, kappa: 0.6922, kb_relative_information_score: 330.1811, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.848, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7199, scimark_benchmark: 1289.2701, usercpu_time_millis: 1.264, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6832, kappa: 0.3601, kb_relative_information_score: 74.703, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6842, predictive_accuracy: 0.6826, prior_entropy: 0.9913, recall: 0.6826, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9439, scimark_benchmark: 1296.9358, usercpu_time_millis: 2.145, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.3975, kappa: -0.0051, kb_relative_information_score: -1.0346, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4187, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0016, scimark_benchmark: 1316.2299, usercpu_time_millis: 2.018, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3963, kb_relative_information_score: 0.0689, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1281.4626, usercpu_time_millis: 1.987, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3501, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1316.3202, usercpu_time_millis: 45.408, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 45.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.3936, kappa: -0.0116, kb_relative_information_score: -1.7903, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3067, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0029, scimark_benchmark: 1303.8971, usercpu_time_millis: 2.111, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7571, kappa: 0.5071, kb_relative_information_score: 204.8641, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7635, predictive_accuracy: 0.7609, prior_entropy: 0.9913, recall: 0.7609, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8468, scimark_benchmark: 1292.1433, usercpu_time_millis: 1.087, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3427, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1287.9719, usercpu_time_millis: 41.883, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 41.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.6676, kappa: 0.3518, kb_relative_information_score: 138.7924, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7435, predictive_accuracy: 0.6971, prior_entropy: 0.9913, recall: 0.6971, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8847, scimark_benchmark: 1299.2881, usercpu_time_millis: 1.266, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.3943, kappa: -0.0087, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.307, predictive_accuracy: 0.5507, prior_entropy: 0.9913, recall: 0.5507, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0009, scimark_benchmark: 1283.2307, usercpu_time_millis: 2.549, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 2.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 390.5404, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6877, scimark_benchmark: 1287.7121, usercpu_time_millis: 0.683, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.5947, kappa: 0.2354, kb_relative_information_score: 80.6303, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7109, predictive_accuracy: 0.6478, prior_entropy: 0.9913, recall: 0.6478, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9429, scimark_benchmark: 1289.9988, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.6505, kappa: 0.3179, kb_relative_information_score: 95.8215, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7197, predictive_accuracy: 0.6812, prior_entropy: 0.9913, recall: 0.6812, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9351, scimark_benchmark: 1308.8736, usercpu_time_millis: 1.261, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.5843, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1303.1362, usercpu_time_millis: 8.004, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 7.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8332, kappa: 0.6622, kb_relative_information_score: 322.9884, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8332, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7311, scimark_benchmark: 1307.55, usercpu_time_millis: 0.8, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.6696, kappa: 0.3511, kb_relative_information_score: 119.139, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.732, predictive_accuracy: 0.6957, prior_entropy: 0.9913, recall: 0.6957, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9126, scimark_benchmark: 1316.1062, usercpu_time_millis: 1.227, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8463, kappa: 0.6888, kb_relative_information_score: 386.2733, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6774, scimark_benchmark: 1301.011, usercpu_time_millis: 0.819, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.3963, kb_relative_information_score: 0.0773, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1309.4847, usercpu_time_millis: 2.011, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3933, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1313.2671, usercpu_time_millis: 33.993, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 33.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.4474, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1292.0259, usercpu_time_millis: 13.35, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 13.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8642, kappa: 0.7277, kb_relative_information_score: 433.4662, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8704, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3974, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6369, scimark_benchmark: 1311.1204, usercpu_time_millis: 0.798, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7133, kappa: 0.4196, kb_relative_information_score: 145.0743, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7244, predictive_accuracy: 0.7203, prior_entropy: 0.9913, recall: 0.7203, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8939, scimark_benchmark: 1312.8351, usercpu_time_millis: 1.869, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 1.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7796, kappa: 0.5526, kb_relative_information_score: 194.7449, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7852, predictive_accuracy: 0.7826, prior_entropy: 0.9913, recall: 0.7826, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8456, scimark_benchmark: 1292.0083, usercpu_time_millis: 1.405, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.682, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1309.5556, usercpu_time_millis: 5.42, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 5.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.4194, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1289.4537, usercpu_time_millis: 32.068, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 32.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.826, kappa: 0.6474, kb_relative_information_score: 346.7138, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7183, scimark_benchmark: 1318.19, usercpu_time_millis: 1.443, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8613, kappa: 0.7228, kb_relative_information_score: 433.1431, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8707, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.318, root_relative_squared_error: 0.64, scimark_benchmark: 1286.677, usercpu_time_millis: 1.347, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.6204, kappa: 0.2761, kb_relative_information_score: 107.6529, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7264, predictive_accuracy: 0.6652, prior_entropy: 0.9913, recall: 0.6652, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9145, scimark_benchmark: 1286.6928, usercpu_time_millis: 1.364, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8233, kappa: 0.6425, kb_relative_information_score: 342.9078, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8235, predictive_accuracy: 0.8232, prior_entropy: 0.9913, recall: 0.8232, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7258, scimark_benchmark: 1312.3866, usercpu_time_millis: 1.652, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 394.2951, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6854, scimark_benchmark: 1287.3683, usercpu_time_millis: 0.66, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7885, kappa: 0.5719, kb_relative_information_score: 234.2901, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7886, predictive_accuracy: 0.7884, prior_entropy: 0.9913, recall: 0.7884, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8269, scimark_benchmark: 1285.7274, usercpu_time_millis: 1.769, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 390.332, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6878, scimark_benchmark: 1317.6282, usercpu_time_millis: 0.825, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 384.0341, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6908, scimark_benchmark: 1280.7343, usercpu_time_millis: 0.799, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8583, kappa: 0.7174, kb_relative_information_score: 425.2108, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.325, root_relative_squared_error: 0.654, scimark_benchmark: 1313.569, usercpu_time_millis: 0.736, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 365.183, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1298.3159, usercpu_time_millis: 2.274, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 2.245,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7847, kappa: 0.5629, kb_relative_information_score: 230.7495, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7883, predictive_accuracy: 0.787, prior_entropy: 0.9913, recall: 0.787, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.411, root_relative_squared_error: 0.827, scimark_benchmark: 1292.5565, usercpu_time_millis: 1.04, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.01,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8561, kappa: 0.7081, kb_relative_information_score: 380.5405, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6806, scimark_benchmark: 1298.0676, usercpu_time_millis: 1.111, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8598, kappa: 0.7177, kb_relative_information_score: 409.9239, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6521, scimark_benchmark: 1312.7507, usercpu_time_millis: 1.248, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 386.983, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6896, scimark_benchmark: 1311.319, usercpu_time_millis: 0.928, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.887, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1291.5498, usercpu_time_millis: 2.813, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 2.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8418, kappa: 0.6795, kb_relative_information_score: 390.052, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6789, scimark_benchmark: 1297.3785, usercpu_time_millis: 1.131, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.645, kappa: 0.3166, kb_relative_information_score: 119.753, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7406, predictive_accuracy: 0.6826, prior_entropy: 0.9913, recall: 0.6826, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9015, scimark_benchmark: 1295.9809, usercpu_time_millis: 1.255, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8402, kappa: 0.676, kb_relative_information_score: 373.3056, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8404, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6876, scimark_benchmark: 1314.6061, usercpu_time_millis: 1.574, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.6605, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1312.2036, usercpu_time_millis: 5.928, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 5.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.3963, kb_relative_information_score: 0.0753, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1296.9704, usercpu_time_millis: 1.983, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7891, kappa: 0.5717, kb_relative_information_score: 244.3559, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7929, predictive_accuracy: 0.7913, prior_entropy: 0.9913, recall: 0.7913, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8029, scimark_benchmark: 1289.5701, usercpu_time_millis: 1.133, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8511, kappa: 0.7027, kb_relative_information_score: 377.5657, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6958, scimark_benchmark: 1313.9584, usercpu_time_millis: 0.951, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.3963, kb_relative_information_score: -0.0449, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1315.8148, usercpu_time_millis: 1.862, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.5203, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.691, scimark_benchmark: 1288.5304, usercpu_time_millis: 0.693, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.4708, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.71, scimark_benchmark: 1283.6272, usercpu_time_millis: 25.442, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 25.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8682, kappa: 0.7334, kb_relative_information_score: 428.0854, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8684, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6412, scimark_benchmark: 1313.572, usercpu_time_millis: 0.999, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8549, kappa: 0.7058, kb_relative_information_score: 377.8045, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8549, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6843, scimark_benchmark: 1298.1368, usercpu_time_millis: 1.111, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8555, kappa: 0.7105, kb_relative_information_score: 407.2489, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8623, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6543, scimark_benchmark: 1292.7876, usercpu_time_millis: 1.139, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.7024, kappa: 0.4025, kb_relative_information_score: 102.0041, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7071, predictive_accuracy: 0.7014, prior_entropy: 0.9913, recall: 0.7014, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9233, scimark_benchmark: 1309.3609, usercpu_time_millis: 2.089, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 2.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8511, kappa: 0.7027, kb_relative_information_score: 375.3454, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6978, scimark_benchmark: 1293.4767, usercpu_time_millis: 0.955, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 406.9078, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6763, scimark_benchmark: 1277.7181, usercpu_time_millis: 0.717, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.857, kappa: 0.7128, kb_relative_information_score: 411.0049, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6782, scimark_benchmark: 1288.5655, usercpu_time_millis: 1.918, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8009, kappa: 0.5962, kb_relative_information_score: 200.8958, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.81, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8208, scimark_benchmark: 1303.7886, usercpu_time_millis: 68.768, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 68.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.6638, kappa: 0.3299, kb_relative_information_score: 109.6906, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.698, predictive_accuracy: 0.6826, prior_entropy: 0.9913, recall: 0.6826, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.921, scimark_benchmark: 1291.2821, usercpu_time_millis: 1.219, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8016, kappa: 0.5973, kb_relative_information_score: 206.4407, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8081, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8225, scimark_benchmark: 1315.5045, usercpu_time_millis: 0.882, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 393.0551, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.686, scimark_benchmark: 1302.1251, usercpu_time_millis: 0.687, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.4081, kappa: 0.0007, kb_relative_information_score: 14.4855, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5104, predictive_accuracy: 0.5536, prior_entropy: 0.9913, recall: 0.5536, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9917, scimark_benchmark: 1318.5754, usercpu_time_millis: 2.947, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 2.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.6481, kappa: 0.3102, kb_relative_information_score: 95.5859, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7082, predictive_accuracy: 0.6768, prior_entropy: 0.9913, recall: 0.6768, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9364, scimark_benchmark: 1317.1776, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.6397, kappa: 0.2964, kb_relative_information_score: 91.1299, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7043, predictive_accuracy: 0.671, prior_entropy: 0.9913, recall: 0.671, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9397, scimark_benchmark: 1293.1062, usercpu_time_millis: 1.251, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.674, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1294.2766, usercpu_time_millis: 6.005, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 5.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8612, kappa: 0.723, kb_relative_information_score: 429.2947, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6479, scimark_benchmark: 1287.5754, usercpu_time_millis: 1.34, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.3963, kb_relative_information_score: -0.0449, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1303.8755, usercpu_time_millis: 1.897, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.9846, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1280.6161, usercpu_time_millis: 2.429, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 2.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3975, kappa: -0.0051, kb_relative_information_score: -0.9691, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4187, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0015, scimark_benchmark: 1318.0274, usercpu_time_millis: 2.14, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 2.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 394.0324, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6757, scimark_benchmark: 1291.8245, usercpu_time_millis: 1.031, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1,

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