OpenML
Supervised Classification on profb

Supervised Classification on profb

Task 3561 Supervised Classification profb 13173 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

13173 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -12.4156, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.6218, kappa: 0.1302, kb_relative_information_score: 37.6735, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6154, predictive_accuracy: 0.6354, prior_entropy: 0.9188, recall: 0.6354, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 5.029, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.117, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -10.4218, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.6038, kappa: 0.0943, kb_relative_information_score: 37.5666, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.624, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, f_measure: 0.5864, kappa: 0.0602, kb_relative_information_score: 23.8854, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.605, predictive_accuracy: 0.6592, prior_entropy: 0.9188, recall: 0.6592, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 11.8209, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: -36.6608, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0275, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.5394, kappa: 0.0089, kb_relative_information_score: 39.2285, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6677, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.6044, kappa: 0.0897, kb_relative_information_score: 32.0169, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6124, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -30.5972, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0228, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 38.4762, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -3.3554, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 5.1385, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -30.4805, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0227, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 9.682, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -46.8034, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0356, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -20.3758, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -38.3323, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0288, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 27.5594, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4745, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.6756, kappa: 0.2527, kb_relative_information_score: 86.9124, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6727, predictive_accuracy: 0.689, prior_entropy: 0.9188, recall: 0.689, relative_absolute_error: 0.8598, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 45.8326, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4805, root_relative_squared_error: 1.0192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -95.8997, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0784, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.483, root_relative_squared_error: 1.0246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.5136, kappa: -0.0286, kb_relative_information_score: -121.5083, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.542, predictive_accuracy: 0.5, prior_entropy: 0.9188, recall: 0.5, relative_absolute_error: 1.1246, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.5644, kappa: 0.0403, kb_relative_information_score: 25.7467, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.631, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 6.5039, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 79.346, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -69.5243, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.055, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.621, kappa: 0.144, kb_relative_information_score: 36.0592, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6897, predictive_accuracy: 0.6935, prior_entropy: 0.9188, recall: 0.6935, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.5921, kappa: 0.0907, kb_relative_information_score: 29.5077, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6713, predictive_accuracy: 0.6815, prior_entropy: 0.9188, recall: 0.6815, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 46.6032, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.9281, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 29.4232, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.6416, kappa: 0.1719, kb_relative_information_score: 44.1509, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6372, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.0166, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -46.5252, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0354, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -30.3467, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0226, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 55.5913, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 36.9861, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: 31.7535, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.5919, kappa: 0.0567, kb_relative_information_score: 28.5703, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5877, predictive_accuracy: 0.6369, prior_entropy: 0.9188, recall: 0.6369, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 6.8576, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -7.1046, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, kb_relative_information_score: 15.1403, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -0.2644, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, f_measure: 0.6499, kappa: 0.191, kb_relative_information_score: 36.8868, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6643, predictive_accuracy: 0.689, prior_entropy: 0.9188, recall: 0.689, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.5823, kappa: 0.0552, kb_relative_information_score: 52.4202, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6055, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4728, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -4.557, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6356, kappa: 0.1884, kb_relative_information_score: 24.1163, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6395, predictive_accuracy: 0.6324, prior_entropy: 0.9188, recall: 0.6324, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -20.9119, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0153, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -62.7654, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -31.3021, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.6039, kappa: 0.098, kb_relative_information_score: 40.3255, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6322, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.5326, kappa: -0.003, kb_relative_information_score: 46.4197, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4441, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -39.7332, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, kb_relative_information_score: 5.8024, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 7.0078, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.5807, kappa: 0.0557, kb_relative_information_score: 22.5168, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.611, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -18.8626, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 23.3732, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 39.5846, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: -21.1752, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0156, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 4.5725, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 3.0765, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, kb_relative_information_score: 24.5269, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.6151, kappa: 0.122, kb_relative_information_score: 42.6348, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6478, predictive_accuracy: 0.6786, prior_entropy: 0.9188, recall: 0.6786, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 18.4493, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4728, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -0.0397, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 2.061, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 1.0526, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -8.5224, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: 15.5726, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.5883, kappa: 0.0756, kb_relative_information_score: 29.0348, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6365, predictive_accuracy: 0.6726, prior_entropy: 0.9188, recall: 0.6726, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.5965, kappa: 0.099, kb_relative_information_score: 7.0737, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5996, predictive_accuracy: 0.5938, prior_entropy: 0.9188, recall: 0.5938, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.527, root_relative_squared_error: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, kb_relative_information_score: 5.2119, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 2.9024, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 25.3446, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -11.8066, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6054, kappa: 0.1004, kb_relative_information_score: 39.3921, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6323, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, f_measure: 0.6463, kappa: 0.1818, kb_relative_information_score: 40.3612, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.656, predictive_accuracy: 0.683, prior_entropy: 0.9188, recall: 0.683, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 8.4135, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.6178, kappa: 0.1311, kb_relative_information_score: 26.8776, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6619, predictive_accuracy: 0.6845, prior_entropy: 0.9188, recall: 0.6845, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.6073, kappa: 0.1021, kb_relative_information_score: 34.6614, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6016, predictive_accuracy: 0.6161, prior_entropy: 0.9188, recall: 0.6161, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.522, root_relative_squared_error: 1.1074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5128, f_measure: 0.5631, kappa: 0.0167, kb_relative_information_score: 4.1296, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5725, predictive_accuracy: 0.6503, prior_entropy: 0.9188, recall: 0.6503, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.7486, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -13.1179, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -7.7484, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 6.8765, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -20.9641, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0154, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -12.9687, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 17.7962, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.3616, kappa: -0.0033, kb_relative_information_score: -282.0263, mean_absolute_error: 0.6012, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5519, predictive_accuracy: 0.3988, prior_entropy: 0.9188, recall: 0.3988, relative_absolute_error: 1.3522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7754, root_relative_squared_error: 1.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -14.0043, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -21.5345, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -46.0493, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0355, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4745, root_relative_squared_error: 1.0067,

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