OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261942 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4816, f_measure: 0.5213, kb_relative_information_score: -3.1976, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, scimark_benchmark: 1297.9033, usercpu_time_millis: 0.925, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5263, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -4.1331, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006, scimark_benchmark: 1293.1738, usercpu_time_millis: 0.939, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: 20.3945, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9279, recall: 0.6389, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9749, scimark_benchmark: 1283.5995, usercpu_time_millis: 1.376, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.5213, kb_relative_information_score: -6.1448, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0024, scimark_benchmark: 1299.0702, usercpu_time_millis: 1.118, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.5213, kb_relative_information_score: -8.7915, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0021, scimark_benchmark: 1275.7325, usercpu_time_millis: 0.823, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.5213, kb_relative_information_score: -5.0172, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0029, scimark_benchmark: 1294.688, usercpu_time_millis: 0.805, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.4544, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6796, scimark_benchmark: 1278.7587, usercpu_time_millis: 1.368, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.4548, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6796, scimark_benchmark: 1260.7483, usercpu_time_millis: 1.876, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.5108, kappa: -0.0424, kb_relative_information_score: 11.3346, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.427, predictive_accuracy: 0.6356, prior_entropy: 0.9279, recall: 0.6356, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9837, scimark_benchmark: 1315.5486, usercpu_time_millis: 1.082, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 593.0763, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0125, root_relative_squared_error: 0.0264, scimark_benchmark: 1267.8522, usercpu_time_millis: 14.219, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 14.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.5213, kb_relative_information_score: -2.9693, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.003, scimark_benchmark: 1372.8769, usercpu_time_millis: 0.801, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.4551, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6796, scimark_benchmark: 1352.0822, usercpu_time_millis: 1.421, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5213, kb_relative_information_score: -1.7514, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9997, scimark_benchmark: 1296.8728, usercpu_time_millis: 0.902, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: -6.2297, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4308, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, scimark_benchmark: 1293.3829, usercpu_time_millis: 1.088, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.5111, kappa: -0.0488, kb_relative_information_score: 29.3756, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4452, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9655, scimark_benchmark: 1269.2439, usercpu_time_millis: 1.208, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 309.4192, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6978, scimark_benchmark: 1268.0185, usercpu_time_millis: 1.424, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.2757, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0021, scimark_benchmark: 1297.42, usercpu_time_millis: 1.195, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -7.0168, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0018, scimark_benchmark: 1266.0224, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.3264, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0021, scimark_benchmark: 1279.317, usercpu_time_millis: 0.973, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.5213, kb_relative_information_score: -2.9154, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002, scimark_benchmark: 1277.762, usercpu_time_millis: 0.904, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4897, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -4.3642, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0013, scimark_benchmark: 1274.2273, usercpu_time_millis: 1.057, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5213, kb_relative_information_score: -3.4784, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0014, scimark_benchmark: 1294.8832, usercpu_time_millis: 1.766, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.5213, kb_relative_information_score: -3.3566, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004, scimark_benchmark: 1278.0287, usercpu_time_millis: 1.045, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 329.3633, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6692, scimark_benchmark: 1300.5437, usercpu_time_millis: 1.233, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.4551, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6796, scimark_benchmark: 1297.3918, usercpu_time_millis: 1.373, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.5281, kappa: 0.0094, kb_relative_information_score: -2.7648, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6615, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9985, scimark_benchmark: 1298.8336, usercpu_time_millis: 5.997, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 5.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4647, f_measure: 0.5213, kb_relative_information_score: -7.7652, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0042, scimark_benchmark: 1301.5015, usercpu_time_millis: 1.554, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 1.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5213, kb_relative_information_score: -4.0974, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.001, scimark_benchmark: 1294.9791, usercpu_time_millis: 0.825, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.5213, kb_relative_information_score: -2.1273, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9993, scimark_benchmark: 1275.8533, usercpu_time_millis: 0.813, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -3.6222, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1300.0595, usercpu_time_millis: 0.948, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -3.3615, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9999, scimark_benchmark: 1289.4182, usercpu_time_millis: 1.1, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.8332, kappa: 0.6202, kb_relative_information_score: 229.7692, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8563, predictive_accuracy: 0.8436, prior_entropy: 0.9279, recall: 0.8436, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7688, scimark_benchmark: 1289.6455, usercpu_time_millis: 1.374, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.8347, kappa: 0.6238, kb_relative_information_score: 135.441, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.859, predictive_accuracy: 0.8453, prior_entropy: 0.9279, recall: 0.8453, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8742, scimark_benchmark: 1275.3128, usercpu_time_millis: 1.096, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.5161, kappa: -0.0297, kb_relative_information_score: 22.2651, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4571, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9748, scimark_benchmark: 1305.7338, usercpu_time_millis: 1.133, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, f_measure: 0.5213, kb_relative_information_score: -3.1319, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0007, scimark_benchmark: 1309.586, usercpu_time_millis: 0.927, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.893,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.5213, kb_relative_information_score: -1.3227, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9983, scimark_benchmark: 1284.9607, usercpu_time_millis: 2.159, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 2.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 330.0086, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6694, scimark_benchmark: 1279.9899, usercpu_time_millis: 1.438, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.398,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.2001, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6797, scimark_benchmark: 1271.5376, usercpu_time_millis: 1.9, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, f_measure: 0.5213, kb_relative_information_score: -1.9925, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006, scimark_benchmark: 1290.9645, usercpu_time_millis: 0.812, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.5213, kb_relative_information_score: -6.8845, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0013, scimark_benchmark: 1299.4211, usercpu_time_millis: 0.88, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.5485, kappa: 0.0055, kb_relative_information_score: 58.5108, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5551, predictive_accuracy: 0.6373, prior_entropy: 0.9279, recall: 0.6373, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.938, scimark_benchmark: 1279.4596, usercpu_time_millis: 1.468, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, f_measure: 0.5213, kb_relative_information_score: -3.9326, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0024, scimark_benchmark: 1280.9858, usercpu_time_millis: 0.821, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -6.423, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.002, scimark_benchmark: 1299.2374, usercpu_time_millis: 1.591, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4636, f_measure: 0.5213, kb_relative_information_score: -6.014, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0034, scimark_benchmark: 1302.1091, usercpu_time_millis: 1.677, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4867, f_measure: 0.5213, kb_relative_information_score: -5.0016, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.001, scimark_benchmark: 1299.493, usercpu_time_millis: 1.099, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: -1.5388, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.999, scimark_benchmark: 1295.8099, usercpu_time_millis: 2.463, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 2.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, f_measure: 0.5213, kb_relative_information_score: -0.6103, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9972, scimark_benchmark: 1297.3336, usercpu_time_millis: 4.744, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 4.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.5075, kappa: -0.0551, kb_relative_information_score: 34.2644, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4254, predictive_accuracy: 0.629, prior_entropy: 0.9279, recall: 0.629, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9629, scimark_benchmark: 1276.8044, usercpu_time_millis: 1.52, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5572, f_measure: 0.5213, kb_relative_information_score: -1.1703, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 1298.1406, usercpu_time_millis: 0.926, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4872, f_measure: 0.5213, kb_relative_information_score: -4.1598, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0013, scimark_benchmark: 1282.8467, usercpu_time_millis: 0.848, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 302.0623, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.683, scimark_benchmark: 1280.6586, usercpu_time_millis: 1.345, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5213, kb_relative_information_score: -1.3687, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9976, scimark_benchmark: 1279.0379, usercpu_time_millis: 2.408, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 2.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.5213, kb_relative_information_score: -5.2712, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0011, scimark_benchmark: 1275.3698, usercpu_time_millis: 0.816, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4798, f_measure: 0.5213, kb_relative_information_score: -2.7079, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0012, scimark_benchmark: 1282.4938, usercpu_time_millis: 1.309, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 593.5897, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0088, root_relative_squared_error: 0.0186, scimark_benchmark: 1299.2356, usercpu_time_millis: 4.802, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 4.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5176, f_measure: 0.5213, kb_relative_information_score: -0.6578, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9996, scimark_benchmark: 1300.4941, usercpu_time_millis: 0.9, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.5213, kb_relative_information_score: -1.3243, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991, scimark_benchmark: 1301.3093, usercpu_time_millis: 1.277, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.5323, kappa: 0.0019, kb_relative_information_score: 23.251, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5546, predictive_accuracy: 0.6506, prior_entropy: 0.9279, recall: 0.6506, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9742, scimark_benchmark: 1274.3589, usercpu_time_millis: 1.368, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 307.988, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6777, scimark_benchmark: 1277.2835, usercpu_time_millis: 1.927, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.5213, kb_relative_information_score: -0.2284, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9996, scimark_benchmark: 1287.0524, usercpu_time_millis: 2.831, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 2.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, f_measure: 0.5213, kb_relative_information_score: -6.0211, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, scimark_benchmark: 1280.8309, usercpu_time_millis: 0.822, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.5189, kappa: -0.0266, kb_relative_information_score: 28.4091, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4778, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9675, scimark_benchmark: 1300.7689, usercpu_time_millis: 1.122, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9362, kappa: 0.8573, kb_relative_information_score: 378.2805, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9368, predictive_accuracy: 0.9368, prior_entropy: 0.9279, recall: 0.9368, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5281, scimark_benchmark: 1273.7833, usercpu_time_millis: 2.398, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 2.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.538, f_measure: 0.5213, kb_relative_information_score: -3.5458, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9992, scimark_benchmark: 1298.8747, usercpu_time_millis: 0.938, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.5213, kb_relative_information_score: -2.7077, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9992, scimark_benchmark: 1306.4063, usercpu_time_millis: 1.779, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 330.0086, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6694, scimark_benchmark: 1296.7, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.5213, kb_relative_information_score: -0.967, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 1285.8189, usercpu_time_millis: 1.173, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: 3.3126, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9929, scimark_benchmark: 1281.3926, usercpu_time_millis: 0.891, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.5524, kappa: 0.0217, kb_relative_information_score: 47.9553, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5758, predictive_accuracy: 0.6473, prior_entropy: 0.9279, recall: 0.6473, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9475, scimark_benchmark: 1282.0309, usercpu_time_millis: 1.238, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.5213, kb_relative_information_score: -3.737, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004, scimark_benchmark: 1277.3008, usercpu_time_millis: 0.823, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.787,

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