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: 0.5824, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.5754, kappa: 0.123, kb_relative_information_score: 49.3255, mean_absolute_error: 0.438, 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: 0.8989, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5332, root_relative_squared_error: 1.0803,
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: 0.6058, f_measure: 0.6021, kappa: 0.1781, kb_relative_information_score: 42.4755, mean_absolute_error: 0.4485, 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: 0.9205, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5756, f_measure: 0.5719, kappa: 0.1158, kb_relative_information_score: 47.4687, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5702, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.562, root_relative_squared_error: 1.1387,
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: 0.5755, f_measure: 0.5743, kappa: 0.1217, kb_relative_information_score: 49.4191, mean_absolute_error: 0.4355, 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: 0.8937, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5776, root_relative_squared_error: 1.1704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.5397, kappa: 0.0518, kb_relative_information_score: 34.1522, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5381, predictive_accuracy: 0.542, prior_entropy: 0.9816, recall: 0.542, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5577, root_relative_squared_error: 1.13,
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: 0.5541, f_measure: 0.5638, kappa: 0.0991, kb_relative_information_score: 41.6456, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5619, predictive_accuracy: 0.57, prior_entropy: 0.9816, recall: 0.57, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5563, kappa: 0.0849, kb_relative_information_score: 32.5902, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5544, predictive_accuracy: 0.56, prior_entropy: 0.9816, recall: 0.56, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5949, root_relative_squared_error: 1.2054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.5532, kappa: 0.079, kb_relative_information_score: 40.6656, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5515, predictive_accuracy: 0.556, prior_entropy: 0.9816, recall: 0.556, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.553, root_relative_squared_error: 1.1204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.5308, kappa: 0.0327, kb_relative_information_score: 24.3477, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5288, predictive_accuracy: 0.534, prior_entropy: 0.9816, recall: 0.534, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5616, root_relative_squared_error: 1.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.5702, kappa: 0.1134, kb_relative_information_score: 44.9679, mean_absolute_error: 0.4396, 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: 0.9021, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6001, root_relative_squared_error: 1.2158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5483, f_measure: 0.542, kappa: 0.0551, kb_relative_information_score: 25.6693, mean_absolute_error: 0.4579, 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: 0.9397, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5681, root_relative_squared_error: 1.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.5837, kappa: 0.1408, kb_relative_information_score: 32.1687, mean_absolute_error: 0.4554, 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: 0.9346, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.5876, kappa: 0.1482, kb_relative_information_score: 41.3868, mean_absolute_error: 0.4491, 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: 0.9217, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5618, f_measure: 0.5477, kappa: 0.0684, kb_relative_information_score: 40.9958, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5462, predictive_accuracy: 0.55, prior_entropy: 0.9816, recall: 0.55, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5986, root_relative_squared_error: 1.2127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.5755, kappa: 0.1252, kb_relative_information_score: 47.4039, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.574, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.5684, kappa: 0.1098, kb_relative_information_score: 27.1264, mean_absolute_error: 0.4599, 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: 0.9439, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.5846, kappa: 0.1431, kb_relative_information_score: 44.3651, mean_absolute_error: 0.4429, 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: 0.9089, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5304, root_relative_squared_error: 1.0747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5813, kappa: 0.135, kb_relative_information_score: 35.6951, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.58, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5687, root_relative_squared_error: 1.1522,
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: 0.5504, f_measure: 0.5597, kappa: 0.0907, kb_relative_information_score: 33.9136, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5577, predictive_accuracy: 0.566, prior_entropy: 0.9816, recall: 0.566, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5785, root_relative_squared_error: 1.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.5954, kappa: 0.1647, kb_relative_information_score: 60.3718, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.594, predictive_accuracy: 0.6, prior_entropy: 0.9816, recall: 0.6, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5226, root_relative_squared_error: 1.0589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, f_measure: 0.5754, kappa: 0.123, kb_relative_information_score: 42.0612, mean_absolute_error: 0.4451, 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: 0.9136, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.1139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.5737, kappa: 0.1194, kb_relative_information_score: 35.8776, mean_absolute_error: 0.4513, 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: 0.9263, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5198, root_relative_squared_error: 1.0531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.579, kappa: 0.1303, kb_relative_information_score: 39.4538, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5777, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.5754, kappa: 0.123, kb_relative_information_score: 39.0781, mean_absolute_error: 0.4488, 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: 0.9211, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.5761, kappa: 0.1253, kb_relative_information_score: 31.8869, mean_absolute_error: 0.4556, 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: 0.9351, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.5754, kappa: 0.123, kb_relative_information_score: 39.3146, mean_absolute_error: 0.4486, 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: 0.9207, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.5813, kappa: 0.1371, kb_relative_information_score: 46.3926, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5799, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5274, root_relative_squared_error: 1.0685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.5737, kappa: 0.1216, kb_relative_information_score: 45.0262, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5723, predictive_accuracy: 0.576, prior_entropy: 0.9816, recall: 0.576, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.537, root_relative_squared_error: 1.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, f_measure: 0.5799, kappa: 0.1346, kb_relative_information_score: 47.8137, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5786, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0863,
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: 0.5818, f_measure: 0.5761, kappa: 0.1253, kb_relative_information_score: 34.5596, mean_absolute_error: 0.453, 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: 0.9297, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.5854, kappa: 0.1454, kb_relative_information_score: 44.6042, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5839, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.565, kappa: 0.1014, kb_relative_information_score: 36.59, mean_absolute_error: 0.4499, 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: 0.9234, 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: 0.6081, f_measure: 0.5952, kappa: 0.1639, kb_relative_information_score: 56.1564, mean_absolute_error: 0.4316, 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: 0.8857, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.5608, kappa: 0.0944, kb_relative_information_score: 35.3362, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.559, predictive_accuracy: 0.564, prior_entropy: 0.9816, recall: 0.564, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5659, root_relative_squared_error: 1.1467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.5743, kappa: 0.1217, kb_relative_information_score: 51.6683, mean_absolute_error: 0.4333, 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: 0.8893, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5976, root_relative_squared_error: 1.2109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5837, kappa: 0.1408, kb_relative_information_score: 30.7418, mean_absolute_error: 0.4567, 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: 0.9373, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.5917, kappa: 0.1566, kb_relative_information_score: 56.4979, mean_absolute_error: 0.4312, 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: 0.8849, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.5886, kappa: 0.1514, kb_relative_information_score: 34.4868, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5871, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.5817, kappa: 0.1382, kb_relative_information_score: 43.7126, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5804, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, f_measure: 0.5761, kappa: 0.1253, kb_relative_information_score: 33.4845, mean_absolute_error: 0.4542, 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: 0.9321, 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: 0.5703, f_measure: 0.5871, kappa: 0.1471, kb_relative_information_score: 46.232, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.586, predictive_accuracy: 0.594, prior_entropy: 0.9816, recall: 0.594, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5567, root_relative_squared_error: 1.1279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.5873, kappa: 0.148, kb_relative_information_score: 32.078, mean_absolute_error: 0.4558, 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: 0.9354, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.5957, kappa: 0.165, kb_relative_information_score: 42.6738, mean_absolute_error: 0.4489, 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: 0.9213, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, f_measure: 0.6016, kappa: 0.177, kb_relative_information_score: 37.788, 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: 0.5084, root_relative_squared_error: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.6003, kappa: 0.1745, kb_relative_information_score: 37.1368, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5993, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.5634, kappa: 0.1027, kb_relative_information_score: 42.4772, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5629, predictive_accuracy: 0.564, prior_entropy: 0.9816, recall: 0.564, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.5344, kappa: 0.0397, kb_relative_information_score: 28.0928, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5323, predictive_accuracy: 0.538, prior_entropy: 0.9816, recall: 0.538, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.1293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.5841, kappa: 0.141, kb_relative_information_score: 41.1572, mean_absolute_error: 0.4491, 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: 0.9218, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.5795, kappa: 0.1314, kb_relative_information_score: 52.4148, mean_absolute_error: 0.4356, 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: 0.894, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5226, root_relative_squared_error: 1.0589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.5841, kappa: 0.142, kb_relative_information_score: 42.5696, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5825, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.5782, kappa: 0.129, kb_relative_information_score: 50.1083, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5766, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.5881, kappa: 0.1493, kb_relative_information_score: 40.9521, mean_absolute_error: 0.4495, 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: 0.9226, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.5759, kappa: 0.1242, kb_relative_information_score: 38.3432, mean_absolute_error: 0.449, 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: 0.9215, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.6016, kappa: 0.177, kb_relative_information_score: 37.3514, 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: 0.5081, root_relative_squared_error: 1.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.59, kappa: 0.1539, kb_relative_information_score: 35.2084, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5885, predictive_accuracy: 0.594, prior_entropy: 0.9816, recall: 0.594, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.6003, kappa: 0.1745, kb_relative_information_score: 38.6703, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5993, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9272, 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: 0.6036, f_measure: 0.5871, kappa: 0.1471, kb_relative_information_score: 39.3051, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.586, predictive_accuracy: 0.594, prior_entropy: 0.9816, recall: 0.594, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.6117, kappa: 0.1979, kb_relative_information_score: 44.1473, mean_absolute_error: 0.4476, 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: 0.9187, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, f_measure: 0.5299, kappa: 0.0301, kb_relative_information_score: 23.5001, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5276, predictive_accuracy: 0.534, prior_entropy: 0.9816, recall: 0.534, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.5929, kappa: 0.1591, kb_relative_information_score: 59.0579, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5921, predictive_accuracy: 0.6, prior_entropy: 0.9816, recall: 0.6, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.0672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, f_measure: 0.5738, kappa: 0.1205, kb_relative_information_score: 33.3057, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5721, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.5371, kappa: 0.0458, kb_relative_information_score: 29.5865, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5352, predictive_accuracy: 0.54, prior_entropy: 0.9816, recall: 0.54, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5527, root_relative_squared_error: 1.1198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5626, kappa: 0.0979, kb_relative_information_score: 32.4919, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5608, predictive_accuracy: 0.566, prior_entropy: 0.9816, recall: 0.566, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.1765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, f_measure: 0.5447, kappa: 0.0611, kb_relative_information_score: 35.4354, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5428, predictive_accuracy: 0.548, prior_entropy: 0.9816, recall: 0.548, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.5854, kappa: 0.1454, kb_relative_information_score: 48.0204, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5839, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, f_measure: 0.5644, kappa: 0.1002, kb_relative_information_score: 46.4635, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5628, predictive_accuracy: 0.572, prior_entropy: 0.9816, recall: 0.572, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.5662, kappa: 0.1051, kb_relative_information_score: 36.1472, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5644, predictive_accuracy: 0.57, prior_entropy: 0.9816, recall: 0.57, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5852, root_relative_squared_error: 1.1857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.5716, kappa: 0.1158, kb_relative_information_score: 40.6389, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5698, predictive_accuracy: 0.576, prior_entropy: 0.9816, recall: 0.576, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5652, root_relative_squared_error: 1.1452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.5729, kappa: 0.1182, kb_relative_information_score: 37.6458, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5711, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5612, root_relative_squared_error: 1.1371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.5841, kappa: 0.141, kb_relative_information_score: 40.3875, mean_absolute_error: 0.4476, 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: 0.9187, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.5737, kappa: 0.1194, kb_relative_information_score: 35.5569, mean_absolute_error: 0.4516, 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: 0.9268, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5581, kappa: 0.0884, kb_relative_information_score: 35.7318, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5562, predictive_accuracy: 0.562, prior_entropy: 0.9816, recall: 0.562, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5683, root_relative_squared_error: 1.1514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.5876, kappa: 0.1482, kb_relative_information_score: 40.9909, mean_absolute_error: 0.4495, 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: 0.9225, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.555, f_measure: 0.5734, kappa: 0.1194, kb_relative_information_score: 43.7965, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5716, 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: 0.5852, root_relative_squared_error: 1.1856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.6128, kappa: 0.2001, kb_relative_information_score: 43.7825, mean_absolute_error: 0.4485, 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: 0.9204, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.5841, kappa: 0.141, kb_relative_information_score: 43.1931, mean_absolute_error: 0.4451, 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: 0.9136, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.6117, kappa: 0.1979, kb_relative_information_score: 44.1473, mean_absolute_error: 0.4476, 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: 0.9187, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5579, kappa: 0.0922, kb_relative_information_score: 35.1816, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5577, predictive_accuracy: 0.558, prior_entropy: 0.9816, recall: 0.558, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5792, root_relative_squared_error: 1.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.5678, kappa: 0.1098, kb_relative_information_score: 55.5057, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5665, predictive_accuracy: 0.57, prior_entropy: 0.9816, recall: 0.57, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6284, root_relative_squared_error: 1.2732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.6003, kappa: 0.1745, kb_relative_information_score: 36.4283, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5993, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.5873, kappa: 0.148, kb_relative_information_score: 48.2475, mean_absolute_error: 0.4391, 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: 0.9012, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.6021, kappa: 0.1781, kb_relative_information_score: 42.0796, mean_absolute_error: 0.4489, 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: 0.9213, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.5568, kappa: 0.0861, kb_relative_information_score: 46.1457, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.555, predictive_accuracy: 0.56, prior_entropy: 0.9816, recall: 0.56, relative_absolute_error: 0.8981, 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: 0.5931, f_measure: 0.5931, kappa: 0.16, kb_relative_information_score: 37.6208, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5917, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.5691, kappa: 0.1098, kb_relative_information_score: 35.6904, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5674, predictive_accuracy: 0.576, prior_entropy: 0.9816, recall: 0.576, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5606, root_relative_squared_error: 1.1358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5606, f_measure: 0.5666, kappa: 0.1063, kb_relative_information_score: 38.9301, mean_absolute_error: 0.4468, 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: 0.917, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.1924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.6128, kappa: 0.2001, kb_relative_information_score: 43.7825, mean_absolute_error: 0.4485, 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: 0.9204, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.565, kappa: 0.1014, kb_relative_information_score: 43.6328, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5637, predictive_accuracy: 0.574, prior_entropy: 0.9816, recall: 0.574, relative_absolute_error: 0.9079, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.548, root_relative_squared_error: 1.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.581, kappa: 0.1349, kb_relative_information_score: 48.511, mean_absolute_error: 0.436, 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: 0.8949, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5712, root_relative_squared_error: 1.1572,

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