OpenML
Supervised Classification on dresses-sales

Supervised Classification on dresses-sales

Task 125920 Supervised Classification dresses-sales 19176 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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19176 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.2925, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -101.9105, mean_absolute_error: 0.58, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.1904, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7616, root_relative_squared_error: 1.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -101.9105, mean_absolute_error: 0.58, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.1904, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7616, root_relative_squared_error: 1.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.2212, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.8632, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.5677, kappa: 0.1121, kb_relative_information_score: 46.6906, mean_absolute_error: 0.4418, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5674, predictive_accuracy: 0.568, prior_entropy: 0.9816, recall: 0.568, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.7137, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.4373, kappa: 0.0085, kb_relative_information_score: -0.5915, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5895, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.5468, kappa: 0.0926, kb_relative_information_score: 29.709, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5596, predictive_accuracy: 0.544, prior_entropy: 0.9816, recall: 0.544, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.0844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.1602, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.9938, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.4486, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.4874, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.5868, kappa: 0.1469, kb_relative_information_score: 32.0278, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5854, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.3046, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.5681, kappa: 0.1099, kb_relative_information_score: 23.4095, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5704, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.5971, kappa: 0.1678, kb_relative_information_score: 41.3671, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5973, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.1561, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.5383, kappa: 0.0496, kb_relative_information_score: 22.6071, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.537, predictive_accuracy: 0.54, prior_entropy: 0.9816, recall: 0.54, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, f_measure: 0.5381, kappa: 0.0523, kb_relative_information_score: 20.5318, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5383, predictive_accuracy: 0.538, prior_entropy: 0.9816, recall: 0.538, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6797, root_relative_squared_error: 1.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, f_measure: 0.5873, kappa: 0.148, kb_relative_information_score: 76.5648, mean_absolute_error: 0.408, 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: 0.8374, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.4836, kappa: 0.0385, kb_relative_information_score: 70.3389, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5706, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.5638, kappa: 0.1015, kb_relative_information_score: 49.586, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5624, predictive_accuracy: 0.566, prior_entropy: 0.9816, recall: 0.566, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5607, f_measure: 0.5747, kappa: 0.1229, kb_relative_information_score: 62.0377, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.573, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.5977, kappa: 0.1692, kb_relative_information_score: 93.1671, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5988, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.5569, kappa: 0.0886, kb_relative_information_score: 41.2848, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.556, predictive_accuracy: 0.558, prior_entropy: 0.9816, recall: 0.558, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6648, root_relative_squared_error: 1.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5264, kappa: 0.0385, kb_relative_information_score: 45.4354, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5359, predictive_accuracy: 0.562, prior_entropy: 0.9816, recall: 0.562, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6618, root_relative_squared_error: 1.3409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5184, f_measure: 0.5314, kappa: 0.0369, kb_relative_information_score: 14.306, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5308, predictive_accuracy: 0.532, prior_entropy: 0.9816, recall: 0.532, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6841, root_relative_squared_error: 1.3861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.5097, kappa: -0.0115, kb_relative_information_score: -4.3717, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5072, predictive_accuracy: 0.514, prior_entropy: 0.9816, recall: 0.514, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6971, root_relative_squared_error: 1.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.5106, kappa: -0.0069, kb_relative_information_score: -6.447, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5094, predictive_accuracy: 0.512, prior_entropy: 0.9816, recall: 0.512, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6986, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, f_measure: 0.547, kappa: 0.0686, kb_relative_information_score: 30.9083, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5462, predictive_accuracy: 0.548, prior_entropy: 0.9816, recall: 0.548, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.538, kappa: 0.1153, kb_relative_information_score: 99.393, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6327, predictive_accuracy: 0.614, prior_entropy: 0.9816, recall: 0.614, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.5725, kappa: 0.1238, kb_relative_information_score: 55.8118, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5731, predictive_accuracy: 0.572, prior_entropy: 0.9816, recall: 0.572, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.424, kappa: -0.008, kb_relative_information_score: 59.9624, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.3354, predictive_accuracy: 0.576, prior_entropy: 0.9816, recall: 0.576, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5547, f_measure: 0.5432, kappa: 0.1218, kb_relative_information_score: 101.4683, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6337, predictive_accuracy: 0.616, prior_entropy: 0.9816, recall: 0.616, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.548, kappa: 0.0722, kb_relative_information_score: 30.9083, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.548, predictive_accuracy: 0.548, prior_entropy: 0.9816, recall: 0.548, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.57, kappa: 0.1145, kb_relative_information_score: 55.8118, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5687, predictive_accuracy: 0.572, prior_entropy: 0.9816, recall: 0.572, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5099, kappa: -0.0007, kb_relative_information_score: -10.5976, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5125, predictive_accuracy: 0.508, prior_entropy: 0.9816, recall: 0.508, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.5748, kappa: 0.1251, kb_relative_information_score: 59.9624, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5738, predictive_accuracy: 0.576, prior_entropy: 0.9816, recall: 0.576, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.5748, kappa: 0.1251, kb_relative_information_score: 59.9624, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5738, predictive_accuracy: 0.576, prior_entropy: 0.9816, recall: 0.576, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.5573, kappa: 0.0946, kb_relative_information_score: 39.2095, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.559, predictive_accuracy: 0.556, prior_entropy: 0.9816, recall: 0.556, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.5567, kappa: 0.14, kb_relative_information_score: 107.6942, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.639, predictive_accuracy: 0.622, prior_entropy: 0.9816, recall: 0.622, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.5769, kappa: 0.1298, kb_relative_information_score: 62.0377, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5761, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.5868, kappa: 0.1469, kb_relative_information_score: 76.5648, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5854, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5918, kappa: 0.1571, kb_relative_information_score: 86.9412, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5925, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.5346, kappa: 0.1101, kb_relative_information_score: 97.3177, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6291, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5402, f_measure: 0.552, kappa: 0.0805, kb_relative_information_score: 35.0589, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.552, predictive_accuracy: 0.552, prior_entropy: 0.9816, recall: 0.552, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.3561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4669, f_measure: 0.4825, kappa: -0.0669, kb_relative_information_score: -33.4258, mean_absolute_error: 0.514, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.48, predictive_accuracy: 0.486, prior_entropy: 0.9816, recall: 0.486, relative_absolute_error: 1.0549, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7169, root_relative_squared_error: 1.4526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, f_measure: 0.5959, kappa: 0.1655, kb_relative_information_score: 91.0918, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5968, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.5708, kappa: 0.1169, kb_relative_information_score: 55.8118, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5698, predictive_accuracy: 0.572, prior_entropy: 0.9816, recall: 0.572, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.5763, kappa: 0.1275, kb_relative_information_score: 62.0377, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5751, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.6065, kappa: 0.2031, kb_relative_information_score: 124.2965, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6373, predictive_accuracy: 0.638, prior_entropy: 0.9816, recall: 0.638, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.5989, kappa: 0.1715, kb_relative_information_score: 93.1671, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5993, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.5612, kappa: 0.1, kb_relative_information_score: 68.2636, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5678, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, f_measure: 0.603, kappa: 0.1821, kb_relative_information_score: 103.5436, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6085, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.5512, kappa: 0.0818, kb_relative_information_score: 32.9836, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5527, predictive_accuracy: 0.55, prior_entropy: 0.9816, recall: 0.55, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5688, kappa: 0.1098, kb_relative_information_score: 57.8871, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.567, predictive_accuracy: 0.574, prior_entropy: 0.9816, recall: 0.574, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.5821, kappa: 0.1394, kb_relative_information_score: 68.2636, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5809, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.5855, kappa: 0.1444, kb_relative_information_score: 74.4895, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5839, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.5249, kappa: 0.0268, kb_relative_information_score: 6.0048, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5259, predictive_accuracy: 0.524, prior_entropy: 0.9816, recall: 0.524, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6899, root_relative_squared_error: 1.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5099, f_measure: 0.5184, kappa: 0.0194, kb_relative_information_score: -2.2964, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5223, predictive_accuracy: 0.516, prior_entropy: 0.9816, recall: 0.516, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6957, root_relative_squared_error: 1.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4657, f_measure: 0.4796, kappa: -0.0687, kb_relative_information_score: -39.6517, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.4793, predictive_accuracy: 0.48, prior_entropy: 0.9816, recall: 0.48, relative_absolute_error: 1.0672, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.6047, kappa: 0.184, kb_relative_information_score: 101.4683, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.607, predictive_accuracy: 0.616, prior_entropy: 0.9816, recall: 0.616, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.5554, kappa: 0.0911, kb_relative_information_score: 37.1342, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5573, predictive_accuracy: 0.554, prior_entropy: 0.9816, recall: 0.554, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6678, root_relative_squared_error: 1.3531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.5453, kappa: 0.0701, kb_relative_information_score: 26.7577, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.547, predictive_accuracy: 0.544, prior_entropy: 0.9816, recall: 0.544, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5312, f_measure: 0.5413, kappa: 0.062, kb_relative_information_score: 22.6071, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5431, predictive_accuracy: 0.54, prior_entropy: 0.9816, recall: 0.54, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.5073, kappa: 0.081, kb_relative_information_score: 89.0165, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6314, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5989, kappa: 0.1728, kb_relative_information_score: 86.9412, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5975, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2782,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5656, kappa: 0.1074, kb_relative_information_score: 49.586, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5652, predictive_accuracy: 0.566, prior_entropy: 0.9816, recall: 0.566, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5369, f_measure: 0.5503, kappa: 0.0744, kb_relative_information_score: 35.0589, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5491, predictive_accuracy: 0.552, prior_entropy: 0.9816, recall: 0.552, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.3561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, f_measure: 0.6058, kappa: 0.1865, kb_relative_information_score: 103.5436, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.609, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2523,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5929, f_measure: 0.6088, kappa: 0.1925, kb_relative_information_score: 105.6189, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6114, predictive_accuracy: 0.62, prior_entropy: 0.9816, recall: 0.62, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.6168, kappa: 0.2185, kb_relative_information_score: 128.4471, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6392, predictive_accuracy: 0.642, prior_entropy: 0.9816, recall: 0.642, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.2123,

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