Task
Supervised Classification on dresses-sales

Supervised Classification on dresses-sales

Task 125920 Supervised Classification dresses-sales 16153 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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16153 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.5401, kappa: 0.1023, kb_relative_information_score: 17.9548, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5997, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5369, kappa: 0.0971, kb_relative_information_score: 21.4964, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5962, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.585, kappa: 0.1433, kb_relative_information_score: 36.1883, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5835, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.6117, kappa: 0.1979, kb_relative_information_score: 43.7514, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6123, predictive_accuracy: 0.62, prior_entropy: 0.9816, recall: 0.62, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, f_measure: 0.5726, kappa: 0.1171, kb_relative_information_score: 41.2584, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5712, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5608, root_relative_squared_error: 1.1363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.5754, kappa: 0.123, kb_relative_information_score: 49.5153, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5739, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5255, root_relative_squared_error: 1.0648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5531, kappa: 0.0776, kb_relative_information_score: 37.5693, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.551, predictive_accuracy: 0.558, prior_entropy: 0.9816, recall: 0.558, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.577, root_relative_squared_error: 1.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.5754, kappa: 0.123, kb_relative_information_score: 50.3511, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5739, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.6012, kappa: 0.1767, kb_relative_information_score: 41.4677, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5759, kappa: 0.1264, kb_relative_information_score: 47.1018, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5745, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.6012, kappa: 0.1767, kb_relative_information_score: 41.8636, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.5675, kappa: 0.1074, kb_relative_information_score: 37.6517, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5657, predictive_accuracy: 0.572, prior_entropy: 0.9816, recall: 0.572, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5666, root_relative_squared_error: 1.1479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, f_measure: 0.5795, kappa: 0.1314, kb_relative_information_score: 52.4015, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5781, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5234, root_relative_squared_error: 1.0605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.5957, kappa: 0.165, kb_relative_information_score: 57.9406, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.5876, kappa: 0.1482, kb_relative_information_score: 38.8705, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5864, predictive_accuracy: 0.594, prior_entropy: 0.9816, recall: 0.594, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.5815, kappa: 0.1361, kb_relative_information_score: 35.4891, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5798, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.5666, kappa: 0.1063, kb_relative_information_score: 55.7939, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5649, predictive_accuracy: 0.57, prior_entropy: 0.9816, recall: 0.57, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.5743, kappa: 0.1207, kb_relative_information_score: 60.8465, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.573, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.8677, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.5737, kappa: 0.1194, kb_relative_information_score: 37.5433, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.572, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5787, kappa: 0.1312, kb_relative_information_score: 48.2639, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.536, root_relative_squared_error: 1.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.5876, kappa: 0.1482, kb_relative_information_score: 38.8705, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5864, predictive_accuracy: 0.594, prior_entropy: 0.9816, recall: 0.594, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.5841, kappa: 0.141, kb_relative_information_score: 42.1869, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5827, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.5841, kappa: 0.141, kb_relative_information_score: 43.3203, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5827, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.0524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.5698, kappa: 0.1122, kb_relative_information_score: 26.296, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.568, predictive_accuracy: 0.574, prior_entropy: 0.9816, recall: 0.574, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.5967, kappa: 0.1672, kb_relative_information_score: 41.1459, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5955, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, f_measure: 0.5841, kappa: 0.141, kb_relative_information_score: 61.4259, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5827, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.616, root_relative_squared_error: 1.2481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.5846, kappa: 0.1431, kb_relative_information_score: 34.2724, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.583, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, f_measure: 0.5615, kappa: 0.0943, kb_relative_information_score: 35.2659, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5596, predictive_accuracy: 0.568, prior_entropy: 0.9816, recall: 0.568, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.1442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.5881, kappa: 0.1493, kb_relative_information_score: 41.348, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5868, predictive_accuracy: 0.594, prior_entropy: 0.9816, recall: 0.594, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, f_measure: 0.5823, kappa: 0.1384, kb_relative_information_score: 39.0261, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5807, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, f_measure: 0.5917, kappa: 0.1566, kb_relative_information_score: 55.5779, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5906, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.6012, kappa: 0.1767, kb_relative_information_score: 42.5721, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.6021, kappa: 0.1781, kb_relative_information_score: 41.6355, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6012, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.5772, kappa: 0.1266, kb_relative_information_score: 37.3748, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5758, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5858, kappa: 0.1446, kb_relative_information_score: 39.7452, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5845, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.5575, kappa: 0.091, kb_relative_information_score: 38.3508, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5571, predictive_accuracy: 0.558, prior_entropy: 0.9816, recall: 0.558, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5466, root_relative_squared_error: 1.1076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.5737, kappa: 0.1194, kb_relative_information_score: 60.6187, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.572, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.583, root_relative_squared_error: 1.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.5751, kappa: 0.124, kb_relative_information_score: 39.6137, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5735, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5817, root_relative_squared_error: 1.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.58, kappa: 0.1326, kb_relative_information_score: 43.9004, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5785, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.545, root_relative_squared_error: 1.1041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.5952, kappa: 0.1639, kb_relative_information_score: 42.7126, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5944, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.6117, kappa: 0.1979, kb_relative_information_score: 43.7514, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6123, predictive_accuracy: 0.62, prior_entropy: 0.9816, recall: 0.62, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5849, f_measure: 0.5759, kappa: 0.1242, kb_relative_information_score: 37.7398, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5744, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.0512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.5815, kappa: 0.1361, kb_relative_information_score: 45.7237, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5798, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.9053, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5284, root_relative_squared_error: 1.0705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.5684, kappa: 0.1098, kb_relative_information_score: 45.7125, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5667, predictive_accuracy: 0.572, prior_entropy: 0.9816, recall: 0.572, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5863, root_relative_squared_error: 1.1878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.6012, kappa: 0.1767, kb_relative_information_score: 41.4677, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.5909, kappa: 0.1552, kb_relative_information_score: 41.42, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5895, predictive_accuracy: 0.596, prior_entropy: 0.9816, recall: 0.596, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.546, kappa: 0.0634, kb_relative_information_score: 34.417, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5439, predictive_accuracy: 0.55, prior_entropy: 0.9816, recall: 0.55, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, f_measure: 0.5617, kappa: 0.0955, kb_relative_information_score: 27.0012, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5598, predictive_accuracy: 0.566, prior_entropy: 0.9816, recall: 0.566, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.5594, kappa: 0.0945, kb_relative_information_score: 39.2505, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5589, predictive_accuracy: 0.56, prior_entropy: 0.9816, recall: 0.56, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5491, root_relative_squared_error: 1.1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.5702, kappa: 0.1134, kb_relative_information_score: 27.0398, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5685, predictive_accuracy: 0.574, prior_entropy: 0.9816, recall: 0.574, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.5832, kappa: 0.1397, kb_relative_information_score: 45.8194, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5817, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5435, root_relative_squared_error: 1.1013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.5868, kappa: 0.1478, kb_relative_information_score: 32.0651, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5853, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, f_measure: 0.6016, kappa: 0.177, kb_relative_information_score: 37.4213, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6008, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.6128, kappa: 0.2001, kb_relative_information_score: 44.1783, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6128, predictive_accuracy: 0.62, prior_entropy: 0.9816, recall: 0.62, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5849, f_measure: 0.5815, kappa: 0.1361, kb_relative_information_score: 32.0472, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5798, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.542, kappa: 0.0551, kb_relative_information_score: 25.4285, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5399, predictive_accuracy: 0.546, prior_entropy: 0.9816, recall: 0.546, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.5795, kappa: 0.1335, kb_relative_information_score: 44.3722, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5781, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5386, root_relative_squared_error: 1.0912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.5909, kappa: 0.1552, kb_relative_information_score: 41.42, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5895, predictive_accuracy: 0.596, prior_entropy: 0.9816, recall: 0.596, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.5815, kappa: 0.1361, kb_relative_information_score: 35.9024, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5798, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5634, kappa: 0.1003, kb_relative_information_score: 50.3677, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5619, predictive_accuracy: 0.566, prior_entropy: 0.9816, recall: 0.566, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5912, root_relative_squared_error: 1.1978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.5761, kappa: 0.1253, kb_relative_information_score: 51.1888, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5744, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5985, root_relative_squared_error: 1.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.5837, kappa: 0.1408, kb_relative_information_score: 31.5543, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5821, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.0393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5646, kappa: 0.1039, kb_relative_information_score: 41.7838, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5635, predictive_accuracy: 0.566, prior_entropy: 0.9816, recall: 0.566, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.546, root_relative_squared_error: 1.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.5365, kappa: 0.043, kb_relative_information_score: 25.8175, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.534, predictive_accuracy: 0.542, prior_entropy: 0.9816, recall: 0.542, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.1512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, f_measure: 0.5756, kappa: 0.1241, kb_relative_information_score: 46.5322, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5739, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.6012, kappa: 0.1767, kb_relative_information_score: 41.8636, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.5841, kappa: 0.141, kb_relative_information_score: 41.6012, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5827, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.5737, kappa: 0.1194, kb_relative_information_score: 36.1898, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.572, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.5876, kappa: 0.1482, kb_relative_information_score: 39.2663, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5864, predictive_accuracy: 0.594, prior_entropy: 0.9816, recall: 0.594, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.5612, kappa: 0.098, kb_relative_information_score: 40.8634, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5606, predictive_accuracy: 0.562, prior_entropy: 0.9816, recall: 0.562, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.6016, kappa: 0.177, kb_relative_information_score: 37.0095, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6008, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5823, kappa: 0.1384, kb_relative_information_score: 42.7307, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5807, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.5873, kappa: 0.148, kb_relative_information_score: 33.2746, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5858, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, f_measure: 0.5606, kappa: 0.0956, kb_relative_information_score: 39.5414, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5595, predictive_accuracy: 0.562, prior_entropy: 0.9816, recall: 0.562, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5496, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.6128, kappa: 0.2001, kb_relative_information_score: 44.1783, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6128, predictive_accuracy: 0.62, prior_entropy: 0.9816, recall: 0.62, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.5837, kappa: 0.1408, kb_relative_information_score: 57.4462, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5821, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.1719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.5772, kappa: 0.1266, kb_relative_information_score: 39.7365, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5758, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, f_measure: 0.5455, kappa: 0.0622, kb_relative_information_score: 27.7451, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5434, predictive_accuracy: 0.55, prior_entropy: 0.9816, recall: 0.55, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5686, root_relative_squared_error: 1.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.5743, kappa: 0.1217, kb_relative_information_score: 40.7167, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5726, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.5832, kappa: 0.1397, kb_relative_information_score: 41.9177, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5817, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5581, root_relative_squared_error: 1.1308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.594, kappa: 0.1614, kb_relative_information_score: 66.4115, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5929, predictive_accuracy: 0.6, prior_entropy: 0.9816, recall: 0.6, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5726, root_relative_squared_error: 1.1602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.5864, kappa: 0.1467, kb_relative_information_score: 33.2276, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5848, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.6021, kappa: 0.1781, kb_relative_information_score: 42.0314, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6012, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5882, kappa: 0.1503, kb_relative_information_score: 36.3532, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5866, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.0376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.6016, kappa: 0.177, kb_relative_information_score: 37.718, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6008, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.5828, kappa: 0.1385, kb_relative_information_score: 32.6284, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5812, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.6016, kappa: 0.177, kb_relative_information_score: 37.0795, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6008, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.5761, kappa: 0.1253, kb_relative_information_score: 33.3769, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5744, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5449, kappa: 0.0638, kb_relative_information_score: 27.0432, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5439, predictive_accuracy: 0.546, prior_entropy: 0.9816, recall: 0.546, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5841, root_relative_squared_error: 1.1834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.5772, kappa: 0.1266, kb_relative_information_score: 40.2877, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5758, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, f_measure: 0.565, kappa: 0.1014, kb_relative_information_score: 37.065, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5633, predictive_accuracy: 0.572, prior_entropy: 0.9816, recall: 0.572, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5173, root_relative_squared_error: 1.0481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.6128, kappa: 0.2001, kb_relative_information_score: 44.1783, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6128, predictive_accuracy: 0.62, prior_entropy: 0.9816, recall: 0.62, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.581, kappa: 0.1349, kb_relative_information_score: 43.7119, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5794, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.563, kappa: 0.0991, kb_relative_information_score: 36.475, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5613, predictive_accuracy: 0.566, prior_entropy: 0.9816, recall: 0.566, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.564, root_relative_squared_error: 1.1428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.5787, kappa: 0.1301, kb_relative_information_score: 58.3672, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.583, root_relative_squared_error: 1.1812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5806, f_measure: 0.5927, kappa: 0.1589, kb_relative_information_score: 69.0801, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5914, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6046, root_relative_squared_error: 1.2249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.565, kappa: 0.1014, kb_relative_information_score: 37.9947, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5633, predictive_accuracy: 0.572, prior_entropy: 0.9816, recall: 0.572, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.5348, kappa: 0.041, kb_relative_information_score: 26.5098, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5329, predictive_accuracy: 0.538, prior_entropy: 0.9816, recall: 0.538, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.561, root_relative_squared_error: 1.1367,

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