OpenML
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 146803 Supervised Classification credit-g 3486 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7521, kappa: 0.3888, kb_relative_information_score: 212.8469, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7546, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8742, scimark_benchmark: 1211.0612, usercpu_time_millis: 7.65, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 6.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.6763, kappa: 0.203, kb_relative_information_score: 130.0583, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7394, predictive_accuracy: 0.737, prior_entropy: 0.8818, recall: 0.737, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.9047, scimark_benchmark: 1214.2064, usercpu_time_millis: 1.915, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.725, kappa: 0.3172, kb_relative_information_score: 157.5076, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7373, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.9009, scimark_benchmark: 1215.8704, usercpu_time_millis: 1.395, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 1.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7321, kappa: 0.3367, kb_relative_information_score: 175.6054, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7375, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8904, scimark_benchmark: 1218.1766, usercpu_time_millis: 3.901, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 3.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7575, kappa: 0.4057, kb_relative_information_score: 212.92, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7568, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8812, scimark_benchmark: 1217.382, usercpu_time_millis: 12.618, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 11.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.647, kappa: 0.1395, kb_relative_information_score: 118.1599, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7329, predictive_accuracy: 0.725, prior_entropy: 0.8818, recall: 0.725, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.9125, scimark_benchmark: 1218.9334, usercpu_time_millis: 0.745, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7373, kappa: 0.3495, kb_relative_information_score: 186.2581, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7438, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8847, scimark_benchmark: 1220.5087, usercpu_time_millis: 6.837, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 5.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.6316, kappa: 0.1056, kb_relative_information_score: 110.6171, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7144, predictive_accuracy: 0.717, prior_entropy: 0.8818, recall: 0.717, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.917, scimark_benchmark: 1215.147, usercpu_time_millis: 3.62, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 3.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.5765, kb_relative_information_score: 71.5918, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9392, scimark_benchmark: 1215.331, usercpu_time_millis: 1.643, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 1.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.5765, kb_relative_information_score: 74.7566, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9389, scimark_benchmark: 1217.126, usercpu_time_millis: 0.841, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7558, kappa: 0.3991, kb_relative_information_score: 203.4749, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7571, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8735, scimark_benchmark: 1223.1514, usercpu_time_millis: 9.961, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 9.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.5765, kb_relative_information_score: 57.4607, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9501, scimark_benchmark: 1219.1599, usercpu_time_millis: 0.224, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7595, kappa: 0.4087, kb_relative_information_score: 212.7658, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7606, predictive_accuracy: 0.772, prior_entropy: 0.8818, recall: 0.772, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.88, scimark_benchmark: 1215.6643, usercpu_time_millis: 8.959, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 8.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7371, kappa: 0.3476, kb_relative_information_score: 182.4098, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7504, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8797, scimark_benchmark: 1214.2649, usercpu_time_millis: 6.186, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 5.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7418, kappa: 0.3624, kb_relative_information_score: 193.1729, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.745, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8828, scimark_benchmark: 1216.0362, usercpu_time_millis: 11.223, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 10.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7139, kappa: 0.2896, kb_relative_information_score: 151.5394, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7236, predictive_accuracy: 0.742, prior_entropy: 0.8818, recall: 0.742, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.9032, scimark_benchmark: 1220.1371, usercpu_time_millis: 6.649, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 6.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7517, kappa: 0.3911, kb_relative_information_score: 213.3888, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7509, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8809, scimark_benchmark: 1223.4737, usercpu_time_millis: 6.511, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 6.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.5765, kb_relative_information_score: 67.8186, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9422, scimark_benchmark: 1213.0332, usercpu_time_millis: 2.243, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 1.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7302, kappa: 0.3298, kb_relative_information_score: 174.8416, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7482, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8825, scimark_benchmark: 1216.259, usercpu_time_millis: 3.048, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 2.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.7106, kappa: 0.2809, kb_relative_information_score: 151.0796, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7278, predictive_accuracy: 0.744, prior_entropy: 0.8818, recall: 0.744, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8995, scimark_benchmark: 1220.3429, usercpu_time_millis: 2.176, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 2.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.7131, kappa: 0.2873, kb_relative_information_score: 156.1851, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.727, predictive_accuracy: 0.744, prior_entropy: 0.8818, recall: 0.744, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8996, scimark_benchmark: 1218.0085, usercpu_time_millis: 7.868, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 7.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7338, kappa: 0.3389, kb_relative_information_score: 186.9657, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7522, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8797, scimark_benchmark: 1215.1508, usercpu_time_millis: 6.351, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 5.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7474, kappa: 0.3763, kb_relative_information_score: 205.9804, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8819, scimark_benchmark: 1221.1139, usercpu_time_millis: 3.193, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 2.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.6375, kappa: 0.1221, kb_relative_information_score: 115.7384, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7539, predictive_accuracy: 0.724, prior_entropy: 0.8818, recall: 0.724, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.9137, scimark_benchmark: 1221.026, usercpu_time_millis: 1.168, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.5811, kappa: 0.0093, kb_relative_information_score: 81.3136, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.791, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.9328, scimark_benchmark: 1217.1662, usercpu_time_millis: 0.432, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7574, kappa: 0.4035, kb_relative_information_score: 208.9837, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7584, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8784, scimark_benchmark: 1220.3151, usercpu_time_millis: 11.615, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 10.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7531, kappa: 0.3983, kb_relative_information_score: 221.5078, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7508, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.884, scimark_benchmark: 1225.095, usercpu_time_millis: 12.552, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 11.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7545, kappa: 0.3987, kb_relative_information_score: 218.1818, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7535, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8779, scimark_benchmark: 1217.8741, usercpu_time_millis: 8.956, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 8.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7496, kappa: 0.3816, kb_relative_information_score: 195.7277, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8803, scimark_benchmark: 1221.1316, usercpu_time_millis: 9.302, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 8.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7634, kappa: 0.4179, kb_relative_information_score: 208.5891, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7652, predictive_accuracy: 0.776, prior_entropy: 0.8818, recall: 0.776, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.401, root_relative_squared_error: 0.875, scimark_benchmark: 1221.956, usercpu_time_millis: 7.629, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 7.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.5765, kb_relative_information_score: 78.1329, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9371, scimark_benchmark: 1215.6271, usercpu_time_millis: 2.09, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 1.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.6381, kappa: 0.1223, kb_relative_information_score: 112.4756, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7425, predictive_accuracy: 0.723, prior_entropy: 0.8818, recall: 0.723, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9162, scimark_benchmark: 1226.2719, usercpu_time_millis: 3.258, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 2.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.202, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1225.7422, usercpu_time_millis: 2.089, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 1.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.2765, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1215.9792, usercpu_time_millis: 1.581, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 1.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7547, kappa: 0.3947, kb_relative_information_score: 203.7847, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7581, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8726, scimark_benchmark: 1216.0295, usercpu_time_millis: 11.269, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 10.132,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7412, kappa: 0.3588, kb_relative_information_score: 201.9908, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.749, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8762, scimark_benchmark: 1222.8359, usercpu_time_millis: 20.72, usercpu_time_millis_testing: 1.954, usercpu_time_millis_training: 18.766,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7511, kappa: 0.3909, kb_relative_information_score: 210.4904, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7494, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8835, scimark_benchmark: 1210.412, usercpu_time_millis: 5.359, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 5.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.5959, kappa: 0.0375, kb_relative_information_score: 96.9019, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7395, predictive_accuracy: 0.707, prior_entropy: 0.8818, recall: 0.707, relative_absolute_error: 0.9093, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9252, scimark_benchmark: 1219.5528, usercpu_time_millis: 3.953, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 3.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7228, kappa: 0.3122, kb_relative_information_score: 165.1107, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7314, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.896, scimark_benchmark: 1217.1462, usercpu_time_millis: 5.879, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 5.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7513, kappa: 0.3856, kb_relative_information_score: 192.6507, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7558, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8836, scimark_benchmark: 1211.9062, usercpu_time_millis: 8.519, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 7.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7554, kappa: 0.4006, kb_relative_information_score: 219.5347, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7545, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.883, scimark_benchmark: 1214.6849, usercpu_time_millis: 16.779, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 15.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7584, kappa: 0.405, kb_relative_information_score: 203.2214, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7605, predictive_accuracy: 0.772, prior_entropy: 0.8818, recall: 0.772, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8798, scimark_benchmark: 1225.1566, usercpu_time_millis: 18.726, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 17.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7564, kappa: 0.4021, kb_relative_information_score: 217.8436, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7564, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8768, scimark_benchmark: 1225.7595, usercpu_time_millis: 7.143, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 6.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7258, kappa: 0.3197, kb_relative_information_score: 179.2694, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7354, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8834, scimark_benchmark: 1228.1901, usercpu_time_millis: 7.949, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 7.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7452, kappa: 0.3697, kb_relative_information_score: 197.5665, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7511, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8747, scimark_benchmark: 1228.4192, usercpu_time_millis: 5.053, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 4.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.1546, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1215.5985, usercpu_time_millis: 1.293, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.588, kappa: 0.0232, kb_relative_information_score: 91.8712, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7925, predictive_accuracy: 0.705, prior_entropy: 0.8818, recall: 0.705, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9287, scimark_benchmark: 1226.7334, usercpu_time_millis: 2.887, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 2.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.6142, kappa: 0.0685, kb_relative_information_score: 103.5701, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6913, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.422, root_relative_squared_error: 0.921, scimark_benchmark: 1228.1769, usercpu_time_millis: 0.757, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7491, kappa: 0.39, kb_relative_information_score: 237.9316, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7464, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.9081, scimark_benchmark: 1226.9987, usercpu_time_millis: 15.072, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 14.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7244, kappa: 0.3157, kb_relative_information_score: 158.9133, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7374, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8991, scimark_benchmark: 1227.9951, usercpu_time_millis: 3.839, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 3.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7372, kappa: 0.3528, kb_relative_information_score: 186.6922, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.9005, scimark_benchmark: 1226.1488, usercpu_time_millis: 3.638, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 3.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6322, kappa: 0.1094, kb_relative_information_score: 113.0155, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7358, predictive_accuracy: 0.72, prior_entropy: 0.8818, recall: 0.72, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.9156, scimark_benchmark: 1227.9919, usercpu_time_millis: 2.53, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 2.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.6355, kappa: 0.1141, kb_relative_information_score: 116.2362, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7195, predictive_accuracy: 0.719, prior_entropy: 0.8818, recall: 0.719, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9125, scimark_benchmark: 1230.7316, usercpu_time_millis: 2.975, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 2.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.5765, kb_relative_information_score: 35.3055, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9721, scimark_benchmark: 1227.1724, usercpu_time_millis: 0.827, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7519, kappa: 0.3899, kb_relative_information_score: 197.4447, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7526, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8777, scimark_benchmark: 1223.643, usercpu_time_millis: 0.812, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.7137, kappa: 0.2885, kb_relative_information_score: 148.0338, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7324, predictive_accuracy: 0.747, prior_entropy: 0.8818, recall: 0.747, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.9043, scimark_benchmark: 1228.1109, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7517, kappa: 0.3863, kb_relative_information_score: 198.0999, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7571, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8776, scimark_benchmark: 1746.2876, usercpu_time_millis: 10.33, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 9.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7608, kappa: 0.4119, kb_relative_information_score: 204.2965, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7618, predictive_accuracy: 0.773, prior_entropy: 0.8818, recall: 0.773, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8739, scimark_benchmark: 1737.7751, usercpu_time_millis: 9.527, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 8.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7402, kappa: 0.3551, kb_relative_information_score: 175.6035, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7545, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8813, scimark_benchmark: 1759.4027, usercpu_time_millis: 2.322, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 2.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.5765, kb_relative_information_score: 31.8142, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9742, scimark_benchmark: 1748.7662, usercpu_time_millis: 2.601, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 2.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7465, kappa: 0.373, kb_relative_information_score: 188.7195, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7523, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8807, scimark_benchmark: 1737.5952, usercpu_time_millis: 1.371, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 1.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.1132, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1730.9146, usercpu_time_millis: 0.867, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7494, kappa: 0.3871, kb_relative_information_score: 219.4185, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7474, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8932, scimark_benchmark: 1799.2633, usercpu_time_millis: 21.159, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 19.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.75, kappa: 0.3823, kb_relative_information_score: 197.4798, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7546, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8787, scimark_benchmark: 1747.1529, usercpu_time_millis: 7.008, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 6.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.5765, kb_relative_information_score: 71.7734, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9371, scimark_benchmark: 1748.0598, usercpu_time_millis: 2.277, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 2.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7537, kappa: 0.3933, kb_relative_information_score: 213.7121, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7558, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7809, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8784, scimark_benchmark: 1748.0598, usercpu_time_millis: 3.52, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 3.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7402, kappa: 0.3561, kb_relative_information_score: 187.6605, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7492, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8777, scimark_benchmark: 1862.9991, usercpu_time_millis: 5.151, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 4.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7594, kappa: 0.4092, kb_relative_information_score: 205.9979, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7597, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8761, scimark_benchmark: 1856.7467, usercpu_time_millis: 4.629, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 4.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.5765, kb_relative_information_score: 48.3653, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.9593, scimark_benchmark: 1746.3382, usercpu_time_millis: 1.81, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.562,

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