OpenML
Supervised Classification on braziltourism

Supervised Classification on braziltourism

Task 3820 Supervised Classification braziltourism 492 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.7367, kappa: 0.1875, kb_relative_information_score: 33.0578, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.8121, predictive_accuracy: 0.7985, prior_entropy: 0.7771, recall: 0.7985, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.9308, scimark_benchmark: 1321.527, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7413, kappa: 0.2016, kb_relative_information_score: 31.974, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.8156, predictive_accuracy: 0.801, prior_entropy: 0.7771, recall: 0.801, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.932, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.7453, kappa: 0.2372, kb_relative_information_score: 44.7747, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7374, predictive_accuracy: 0.7646, prior_entropy: 0.7771, recall: 0.7646, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.0052, scimark_benchmark: 942.6843, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7517, kappa: 0.2457, kb_relative_information_score: 49.643, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7483, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.9782, scimark_benchmark: 1290.1085, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.7554, kappa: 0.25, kb_relative_information_score: 54.9948, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7634, predictive_accuracy: 0.7913, prior_entropy: 0.7771, recall: 0.7913, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9423, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.761, kappa: 0.2657, kb_relative_information_score: 50.2989, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7764, predictive_accuracy: 0.7985, prior_entropy: 0.7771, recall: 0.7985, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.9336, scimark_benchmark: 1307.4861, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.7629, kappa: 0.271, kb_relative_information_score: 45.5799, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7812, predictive_accuracy: 0.801, prior_entropy: 0.7771, recall: 0.801, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9387, scimark_benchmark: 912.7324, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.7293, kappa: 0.1644, kb_relative_information_score: 28.5801, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.752, predictive_accuracy: 0.784, prior_entropy: 0.7771, recall: 0.784, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9793, scimark_benchmark: 1297.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.7459, kappa: 0.2201, kb_relative_information_score: 57.6289, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7511, predictive_accuracy: 0.784, prior_entropy: 0.7771, recall: 0.784, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.94, scimark_benchmark: 1280.6952, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.7451, kappa: 0.2152, kb_relative_information_score: 56.8121, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7597, predictive_accuracy: 0.7888, prior_entropy: 0.7771, recall: 0.7888, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.9353, scimark_benchmark: 1250.8301, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7446, kappa: 0.2126, kb_relative_information_score: 49.6694, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7658, predictive_accuracy: 0.7913, prior_entropy: 0.7771, recall: 0.7913, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.9355, scimark_benchmark: 935.5075, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7379, kappa: 0.1914, kb_relative_information_score: 46.702, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7623, predictive_accuracy: 0.7888, prior_entropy: 0.7771, recall: 0.7888, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.94, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7223, kappa: 0.1431, kb_relative_information_score: 37.8957, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7669, predictive_accuracy: 0.7864, prior_entropy: 0.7771, recall: 0.7864, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.9441, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, f_measure: 0.7204, kappa: 0.1474, kb_relative_information_score: 16.4633, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7104, predictive_accuracy: 0.7549, prior_entropy: 0.7771, recall: 0.7549, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.436, root_relative_squared_error: 1.039, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.7378, kappa: 0.2191, kb_relative_information_score: 2.5163, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7291, predictive_accuracy: 0.7549, prior_entropy: 0.7771, recall: 0.7549, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.079, scimark_benchmark: 1324.8395, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.67, kappa: 0.1426, kb_relative_information_score: -52.4327, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7014, predictive_accuracy: 0.6505, prior_entropy: 0.7771, recall: 0.6505, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.5912, root_relative_squared_error: 1.4088, scimark_benchmark: 1312.3073, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6725, kb_relative_information_score: 108.4061, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 0.7771, recall: 0.7718, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.1382, scimark_benchmark: 1336.3256, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.735, kappa: 0.1821, kb_relative_information_score: 140.5739, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7993, predictive_accuracy: 0.7961, prior_entropy: 0.7771, recall: 0.7961, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.076, scimark_benchmark: 1297.6599, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.7241, kappa: 0.1498, kb_relative_information_score: 11.5905, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.8176, predictive_accuracy: 0.7937, prior_entropy: 0.7771, recall: 0.7937, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9662, scimark_benchmark: 887.6719, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5084, f_measure: 0.64, kappa: 0.0157, kb_relative_information_score: -81.3837, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.6534, predictive_accuracy: 0.6286, prior_entropy: 0.7771, recall: 0.6286, relative_absolute_error: 1.0523, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.4522, scimark_benchmark: 938.9967, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7406, kappa: 0.2077, kb_relative_information_score: 30.146, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.738, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9795, scimark_benchmark: 918.0213, usercpu_time_millis: 7020, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 6960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.6916, kappa: 0.0498, kb_relative_information_score: 105.1894, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7042, predictive_accuracy: 0.7694, prior_entropy: 0.7771, recall: 0.7694, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.1443, scimark_benchmark: 918.6491, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7302, kappa: 0.1677, kb_relative_information_score: 32.3567, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7455, predictive_accuracy: 0.7816, prior_entropy: 0.7771, recall: 0.7816, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.9588, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.7441, kappa: 0.2151, kb_relative_information_score: 43.9812, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7473, predictive_accuracy: 0.7816, prior_entropy: 0.7771, recall: 0.7816, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.954, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 904.2311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7566, kappa: 0.2656, kb_relative_information_score: 40.5905, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7516, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9773, scimark_benchmark: 1315.0767, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.7287, kappa: 0.2185, kb_relative_information_score: 47.9692, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.725, predictive_accuracy: 0.733, prior_entropy: 0.7771, recall: 0.733, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.2037, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.7451, kappa: 0.2152, kb_relative_information_score: 37.2883, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7597, predictive_accuracy: 0.7888, prior_entropy: 0.7771, recall: 0.7888, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.9834, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7506, kappa: 0.2309, kb_relative_information_score: 52.1503, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7759, predictive_accuracy: 0.7961, prior_entropy: 0.7771, recall: 0.7961, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9572, scimark_benchmark: 1327.6929, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5603, f_measure: 0.7002, kappa: 0.1272, kb_relative_information_score: 24.7699, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.6931, predictive_accuracy: 0.7087, prior_entropy: 0.7771, recall: 0.7087, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.5397, root_relative_squared_error: 1.2861, scimark_benchmark: 1307.4861, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4735, f_measure: 0.5549, kappa: -0.0401, kb_relative_information_score: -229.3555, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.6302, predictive_accuracy: 0.517, prior_entropy: 0.7771, recall: 0.517, relative_absolute_error: 1.3686, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.695, root_relative_squared_error: 1.6561, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6606, f_measure: 0.7403, kappa: 0.2193, kb_relative_information_score: 37.2741, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.732, predictive_accuracy: 0.7621, prior_entropy: 0.7771, recall: 0.7621, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4375, root_relative_squared_error: 1.0425, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.735, kappa: 0.1821, kb_relative_information_score: 140.5739, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7993, predictive_accuracy: 0.7961, prior_entropy: 0.7771, recall: 0.7961, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.076, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.6902, kappa: 0.045, kb_relative_information_score: 101.9726, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.6952, predictive_accuracy: 0.767, prior_entropy: 0.7771, recall: 0.767, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.1503, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4847, f_measure: 0.6725, kb_relative_information_score: -0.9555, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 0.7771, recall: 0.7718, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.0001, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.7499, kappa: 0.2347, kb_relative_information_score: 44.442, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7521, predictive_accuracy: 0.784, prior_entropy: 0.7771, recall: 0.784, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.9999, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.7592, kappa: 0.2656, kb_relative_information_score: 124.7591, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7607, predictive_accuracy: 0.7888, prior_entropy: 0.7771, recall: 0.7888, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4443, root_relative_squared_error: 1.0586, scimark_benchmark: 927.0753, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, f_measure: 0.7496, kappa: 0.2428, kb_relative_information_score: 34.421, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.744, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.9894, scimark_benchmark: 942.3168, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, build_cpu_time: 0.1426, build_memory: 172639503.4369, f_measure: 0.7318, kappa: 0.2082, kb_relative_information_score: 72.2664, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7234, predictive_accuracy: 0.7451, prior_entropy: 0.7771, recall: 0.7451, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.1858, scimark_benchmark: 939.8609,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, build_cpu_time: 0.5231, build_memory: 781339999.8641, f_measure: 0.7419, kappa: 0.226, kb_relative_information_score: 43.4648, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7336, predictive_accuracy: 0.7621, prior_entropy: 0.7771, recall: 0.7621, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.084, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, build_cpu_time: 0.8371, build_memory: 1158220976.3495, f_measure: 0.7438, kappa: 0.2306, kb_relative_information_score: 45.7789, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7358, predictive_accuracy: 0.7646, prior_entropy: 0.7771, recall: 0.7646, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4552, root_relative_squared_error: 1.0848, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, build_cpu_time: 1.3106, build_memory: 458197638.2524, f_measure: 0.7438, kappa: 0.2306, kb_relative_information_score: 46.3416, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7358, predictive_accuracy: 0.7646, prior_entropy: 0.7771, recall: 0.7646, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.0827, scimark_benchmark: 920.6725,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, build_cpu_time: 4.1261, build_memory: 1554764589.4563, f_measure: 0.735, kappa: 0.2034, kb_relative_information_score: 36.8024, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7259, predictive_accuracy: 0.7573, prior_entropy: 0.7771, recall: 0.7573, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4621, root_relative_squared_error: 1.1012, scimark_benchmark: 915.8564,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, build_cpu_time: 0.0537, build_memory: 1131131241.8835, f_measure: 0.7117, kappa: 0.1448, kb_relative_information_score: 19.9805, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7009, predictive_accuracy: 0.7282, prior_entropy: 0.7771, recall: 0.7282, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0917, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, build_cpu_time: 0.04, build_memory: 1022460492.8155, f_measure: 0.7156, kappa: 0.1471, kb_relative_information_score: 22.8717, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7036, predictive_accuracy: 0.7379, prior_entropy: 0.7771, recall: 0.7379, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4423, root_relative_squared_error: 1.0541, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, build_cpu_time: 0.0132, build_memory: 1426747758.4466, f_measure: 0.7038, kappa: 0.0968, kb_relative_information_score: 8.2565, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.6889, predictive_accuracy: 0.7403, prior_entropy: 0.7771, recall: 0.7403, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.059, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, build_cpu_time: 0.0064, build_memory: 286715413.1262, f_measure: 0.7166, kappa: 0.135, kb_relative_information_score: 15.1564, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7058, predictive_accuracy: 0.7524, prior_entropy: 0.7771, recall: 0.7524, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.43, root_relative_squared_error: 1.0246, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, build_cpu_time: 0.0137, build_memory: 936355100.7767, f_measure: 0.7496, kappa: 0.2428, kb_relative_information_score: 34.6105, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.744, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.988, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, build_cpu_time: 0.015, build_memory: 1222572427.3981, f_measure: 0.7496, kappa: 0.2428, kb_relative_information_score: 34.421, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.744, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.9894, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, build_cpu_time: 0.0152, build_memory: 1239365974.0971, f_measure: 0.7496, kappa: 0.2428, kb_relative_information_score: 34.421, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.744, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.9894, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, build_cpu_time: 0.0241, build_memory: 278659220.2524, f_measure: 0.7496, kappa: 0.2428, kb_relative_information_score: 34.421, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.744, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.9894, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, build_cpu_time: 0.0271, build_memory: 3680783568.0777, f_measure: 0.7496, kappa: 0.2428, kb_relative_information_score: 34.421, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.744, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.9894, scimark_benchmark: 943.2074,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs