Task
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 13 Supervised Classification breast-cancer 765 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.5865, kappa: 0.0095, kb_relative_information_score: -0.0128, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6435, predictive_accuracy: 0.7028, prior_entropy: 0.8779, recall: 0.7028, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, f_measure: 0.7057, kappa: 0.2676, kb_relative_information_score: 39.4691, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7051, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.7066, kappa: 0.266, kb_relative_information_score: 48.9524, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7226, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7023, kappa: 0.2646, kb_relative_information_score: 53.4267, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6978, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.6934, kappa: 0.2365, kb_relative_information_score: 30.5653, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6916, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.6989, kappa: 0.2496, kb_relative_information_score: 34.7097, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7466, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8471, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.6721, kappa: 0.1975, kb_relative_information_score: 37.506, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6662, predictive_accuracy: 0.6818, prior_entropy: 0.8796, recall: 0.6818, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5276, root_relative_squared_error: 1.1544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, f_measure: 0.6793, kappa: 0.2202, kb_relative_information_score: 26.135, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.675, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7093, kappa: 0.273, kb_relative_information_score: 44.4739, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7283, predictive_accuracy: 0.7448, prior_entropy: 0.8796, recall: 0.7448, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7238, kappa: 0.3258, kb_relative_information_score: 57.954, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7201, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: -0.3776, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.7237, kappa: 0.3119, kb_relative_information_score: 51.5488, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7265, predictive_accuracy: 0.7448, prior_entropy: 0.8796, recall: 0.7448, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.7129, kappa: 0.2839, kb_relative_information_score: 52.5768, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7647, predictive_accuracy: 0.7587, prior_entropy: 0.8796, recall: 0.7587, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.6822, kappa: 0.2058, kb_relative_information_score: 68.7181, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6834, predictive_accuracy: 0.7133, prior_entropy: 0.8796, recall: 0.7133, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.0302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.6989, kappa: 0.247, kb_relative_information_score: 41.5907, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7184, predictive_accuracy: 0.7378, prior_entropy: 0.8796, recall: 0.7378, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.6274, kappa: 0.0791, kb_relative_information_score: 17.3852, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6521, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: -0.3776, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.6989, kappa: 0.2496, kb_relative_information_score: 47.8321, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7466, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7054, kappa: 0.2639, kb_relative_information_score: 40.7078, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.712, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: 0.316, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 57.0348, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5604, f_measure: 0.71, kappa: 0.2754, kb_relative_information_score: 36.4004, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7449, predictive_accuracy: 0.7517, prior_entropy: 0.8796, recall: 0.7517, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 57.0348, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.6739, kappa: 0.1921, kb_relative_information_score: 24.5078, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6674, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4807, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7152, kappa: 0.2889, kb_relative_information_score: 36.429, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7215, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.6453, kappa: 0.1173, kb_relative_information_score: 44.4077, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6361, predictive_accuracy: 0.6713, prior_entropy: 0.8796, recall: 0.6713, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5733, root_relative_squared_error: 1.2544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 57.0348, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.668, kappa: 0.1737, kb_relative_information_score: 59.7925, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.662, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7112, kappa: 0.288, kb_relative_information_score: 55.3258, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.707, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.7199, kappa: 0.3075, kb_relative_information_score: 88.1893, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7171, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.1222, scimark_benchmark: 1918.4916, usercpu_time_millis: 2453.125, usercpu_time_millis_training: 2453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.7036, kappa: 0.2783, kb_relative_information_score: 45.8211, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6996, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.0091, scimark_benchmark: 1931.8468, usercpu_time_millis: 1671.875, usercpu_time_millis_training: 1671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1670.334, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1742.8208, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1742.8208, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.668, kappa: 0.1737, kb_relative_information_score: 59.7925, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.662, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2137, scimark_benchmark: 1377.4309, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.7228, kappa: 0.314, kb_relative_information_score: 88.1026, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7207, predictive_accuracy: 0.7378, prior_entropy: 0.8796, recall: 0.7378, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.1, scimark_benchmark: 1416.417, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 1279.1138,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.6536, kappa: 0.1434, kb_relative_information_score: 44.4077, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6452, predictive_accuracy: 0.6713, prior_entropy: 0.8796, recall: 0.6713, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5733, root_relative_squared_error: 1.2544, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.638, kappa: 0.0971, kb_relative_information_score: 11.1031, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6447, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.005, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.6538, kappa: 0.1341, kb_relative_information_score: 21.2816, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6512, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9958, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.723, kappa: 0.3072, kb_relative_information_score: 35.8793, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7516, predictive_accuracy: 0.7587, prior_entropy: 0.8796, recall: 0.7587, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.935, scimark_benchmark: 1732.2066, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.714, kappa: 0.2983, kb_relative_information_score: 50.4665, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7098, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9894, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 1852.0243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.714, kappa: 0.2983, kb_relative_information_score: 50.4665, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7098, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9894, scimark_benchmark: 1852.0243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 1852.0243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6743, kappa: 0.2189, kb_relative_information_score: 47.5355, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6737, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.1271, scimark_benchmark: 1887.4343, usercpu_time_millis: 2558.4164, usercpu_time_millis_training: 2558.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.7237, kappa: 0.3119, kb_relative_information_score: 50.8283, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7265, predictive_accuracy: 0.7448, prior_entropy: 0.8796, recall: 0.7448, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9862, scimark_benchmark: 1887.4343, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.6855, kappa: 0.2141, kb_relative_information_score: 33.3579, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7087, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9804, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.651, kappa: 0.1271, kb_relative_information_score: 25.0941, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6493, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9899, scimark_benchmark: 1850.8887, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7152, kappa: 0.2889, kb_relative_information_score: 36.429, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7215, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9717, scimark_benchmark: 1851.1033, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.7088, kappa: 0.2719, kb_relative_information_score: 43.188, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.722, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9764, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.7067, kappa: 0.2686, kb_relative_information_score: 50.0539, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7084, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0958, scimark_benchmark: 1851.1033,

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