OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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54817 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1352.4944, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7842, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7581, kappa: 0.5162, kb_relative_information_score: 1246.217, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7581, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7785, kappa: 0.5569, kb_relative_information_score: 1390.3713, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7785, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1389.4078, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7696, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1316.0062, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7823, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.76, kappa: 0.52, kb_relative_information_score: 1306.8442, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7726, kappa: 0.5454, kb_relative_information_score: 1360.5181, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7729, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7761, kappa: 0.5523, kb_relative_information_score: 1253.4918, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7763, predictive_accuracy: 0.7762, prior_entropy: 1, recall: 0.7762, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7727, kappa: 0.5454, kb_relative_information_score: 1390.5491, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7727, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.4678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7576, kappa: 0.5154, kb_relative_information_score: 1292.9625, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.758, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1409.7803, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7696, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7626, kappa: 0.5254, kb_relative_information_score: 1357.7416, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7632, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7627, kappa: 0.5254, kb_relative_information_score: 1326.4762, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7629, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 1266.8579, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7615, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7608, kappa: 0.5215, kb_relative_information_score: 1378.4868, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7608, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7815, kappa: 0.5631, kb_relative_information_score: 1344.1889, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7815, predictive_accuracy: 0.7815, prior_entropy: 1, recall: 0.7815, relative_absolute_error: 0.4911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7757, kappa: 0.5515, kb_relative_information_score: 1372.304, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7759, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7815, kappa: 0.5631, kb_relative_information_score: 1282.2975, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7817, predictive_accuracy: 0.7815, prior_entropy: 1, recall: 0.7815, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7558, kappa: 0.5115, kb_relative_information_score: 1262.0039, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7558, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7576, kappa: 0.5154, kb_relative_information_score: 1227.6158, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7579, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7804, kappa: 0.5608, kb_relative_information_score: 1379.8055, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7805, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7514, kappa: 0.5031, kb_relative_information_score: 1323.9134, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7519, predictive_accuracy: 0.7515, prior_entropy: 1, recall: 0.7515, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7815, kappa: 0.5631, kb_relative_information_score: 1299.4692, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7818, predictive_accuracy: 0.7815, prior_entropy: 1, recall: 0.7815, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7831, kappa: 0.5662, kb_relative_information_score: 1353.106, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7831, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1349.4351, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7823, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1401.0351, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7669, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.785, kappa: 0.57, kb_relative_information_score: 1350.2309, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.785, predictive_accuracy: 0.785, prior_entropy: 1, recall: 0.785, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7665, kappa: 0.5331, kb_relative_information_score: 1373.3051, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7665, predictive_accuracy: 0.7665, prior_entropy: 1, recall: 0.7665, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7738, kappa: 0.5477, kb_relative_information_score: 1387.1718, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7738, predictive_accuracy: 0.7738, prior_entropy: 1, recall: 0.7738, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7684, kappa: 0.5369, kb_relative_information_score: 1347.8923, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7686, predictive_accuracy: 0.7685, prior_entropy: 1, recall: 0.7685, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1387.6094, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7834, kappa: 0.5669, kb_relative_information_score: 1268.9933, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7837, predictive_accuracy: 0.7835, prior_entropy: 1, recall: 0.7835, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 1331.0753, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7865, kappa: 0.5731, kb_relative_information_score: 1359.1826, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7866, predictive_accuracy: 0.7865, prior_entropy: 1, recall: 0.7865, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1410.6565, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7773, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 1353.9112, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7605, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.768, kappa: 0.5362, kb_relative_information_score: 1373.3857, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7682, predictive_accuracy: 0.7681, prior_entropy: 1, recall: 0.7681, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7681, kappa: 0.5362, kb_relative_information_score: 1400.3728, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7681, predictive_accuracy: 0.7681, prior_entropy: 1, recall: 0.7681, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7708, kappa: 0.5415, kb_relative_information_score: 1404.2719, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7708, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7834, kappa: 0.5669, kb_relative_information_score: 1264.4951, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7837, predictive_accuracy: 0.7835, prior_entropy: 1, recall: 0.7835, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7831, kappa: 0.5662, kb_relative_information_score: 1362.4045, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7831, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7711, kappa: 0.5423, kb_relative_information_score: 1386.0707, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7712, predictive_accuracy: 0.7712, prior_entropy: 1, recall: 0.7712, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1231.406, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7546, kappa: 0.5092, kb_relative_information_score: 1229.499, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7548, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 1395.5518, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1396.322, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.767, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7542, kappa: 0.5085, kb_relative_information_score: 1236.194, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7543, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7808, kappa: 0.5615, kb_relative_information_score: 1316.1468, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7808, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7807, kappa: 0.5615, kb_relative_information_score: 1258.1042, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.781, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.7584, kappa: 0.5169, kb_relative_information_score: 1369.5102, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7586, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1274.2716, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.779, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1284.4588, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7824, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1271.1512, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7798, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7646, kappa: 0.5292, kb_relative_information_score: 1380.1895, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7647, predictive_accuracy: 0.7646, prior_entropy: 1, recall: 0.7646, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7858, kappa: 0.5715, kb_relative_information_score: 1367.7071, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7858, predictive_accuracy: 0.7858, prior_entropy: 1, recall: 0.7858, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 1382.274, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7781, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.417, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 1307.4821, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7616, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7711, kappa: 0.5423, kb_relative_information_score: 1413.7604, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7713, predictive_accuracy: 0.7712, prior_entropy: 1, recall: 0.7712, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7665, kappa: 0.5331, kb_relative_information_score: 1397.2923, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7666, predictive_accuracy: 0.7665, prior_entropy: 1, recall: 0.7665, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.753, kappa: 0.5062, kb_relative_information_score: 1347.3139, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7534, predictive_accuracy: 0.7531, prior_entropy: 1, recall: 0.7531, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7712, kappa: 0.5423, kb_relative_information_score: 1417.5433, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7712, predictive_accuracy: 0.7712, prior_entropy: 1, recall: 0.7712, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 1276.0698, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7802, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.758, kappa: 0.5162, kb_relative_information_score: 1222.3583, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7585, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7757, kappa: 0.5515, kb_relative_information_score: 1376.8562, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7759, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7619, kappa: 0.5238, kb_relative_information_score: 1377.8464, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7619, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.472, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.778, kappa: 0.5562, kb_relative_information_score: 1257.2054, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7783, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1254.7731, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7799, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7684, kappa: 0.5369, kb_relative_information_score: 1368.1113, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7686, predictive_accuracy: 0.7685, prior_entropy: 1, recall: 0.7685, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7583, kappa: 0.5169, kb_relative_information_score: 1214.0295, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.759, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1308.1134, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7829, predictive_accuracy: 0.7827, prior_entropy: 1, recall: 0.7827, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7541, kappa: 0.5085, kb_relative_information_score: 1351.01, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7548, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7727, kappa: 0.5454, kb_relative_information_score: 1414.281, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7727, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7684, kappa: 0.5369, kb_relative_information_score: 1362.7471, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7687, predictive_accuracy: 0.7685, prior_entropy: 1, recall: 0.7685, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7742, kappa: 0.5485, kb_relative_information_score: 1416.0229, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7743, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.8991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7538, kappa: 0.5077, kb_relative_information_score: 1228.3027, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7539, predictive_accuracy: 0.7538, prior_entropy: 1, recall: 0.7538, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7719, kappa: 0.5438, kb_relative_information_score: 1391.1633, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7719, predictive_accuracy: 0.7719, prior_entropy: 1, recall: 0.7719, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.8998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7562, kappa: 0.5123, kb_relative_information_score: 1244.9128, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7562, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7534, kappa: 0.5069, kb_relative_information_score: 1287.2023, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7539, predictive_accuracy: 0.7535, prior_entropy: 1, recall: 0.7535, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7504, kappa: 0.5008, kb_relative_information_score: 1255.1241, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7504, predictive_accuracy: 0.7504, prior_entropy: 1, recall: 0.7504, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1369.8464, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7692, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7854, kappa: 0.5708, kb_relative_information_score: 1336.9709, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7854, predictive_accuracy: 0.7854, prior_entropy: 1, recall: 0.7854, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7541, kappa: 0.5085, kb_relative_information_score: 1290.3819, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7546, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1357.3279, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7789, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.415, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7661, kappa: 0.5323, kb_relative_information_score: 1392.7744, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7663, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7619, kappa: 0.5238, kb_relative_information_score: 1321.1503, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.762, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7853, kappa: 0.5708, kb_relative_information_score: 1262.2474, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7856, predictive_accuracy: 0.7854, prior_entropy: 1, recall: 0.7854, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7581, kappa: 0.5162, kb_relative_information_score: 1372.3322, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7581, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7811, kappa: 0.5623, kb_relative_information_score: 1297.7529, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7813, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 1378.6173, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.77, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.768, kappa: 0.5362, kb_relative_information_score: 1364.9054, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7682, predictive_accuracy: 0.7681, prior_entropy: 1, recall: 0.7681, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7653, kappa: 0.5308, kb_relative_information_score: 1318.8921, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7656, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7746, kappa: 0.5492, kb_relative_information_score: 1364.5434, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7748, predictive_accuracy: 0.7746, prior_entropy: 1, recall: 0.7746, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7538, kappa: 0.5077, kb_relative_information_score: 1274.4442, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7541, predictive_accuracy: 0.7538, prior_entropy: 1, recall: 0.7538, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7812, kappa: 0.5623, kb_relative_information_score: 1322.8367, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7812, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1258.3957, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.779, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.775, kappa: 0.55, kb_relative_information_score: 1425.8249, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.775, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7834, kappa: 0.5669, kb_relative_information_score: 1301.8566, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7836, predictive_accuracy: 0.7835, prior_entropy: 1, recall: 0.7835, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.407, root_relative_squared_error: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7581, kappa: 0.5162, kb_relative_information_score: 1249.625, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7581, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1349.65, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7846, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.778, kappa: 0.5562, kb_relative_information_score: 1251.0836, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7783, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8261,

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

OpenML APIs