OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54819 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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54819 Runs

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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1256.1311, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7779, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7758, kappa: 0.5515, kb_relative_information_score: 1353.0673, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7758, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1285.8008, mean_absolute_error: 0.2591, 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: 0.5182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7738, kappa: 0.5477, kb_relative_information_score: 1385.6978, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7739, predictive_accuracy: 0.7738, prior_entropy: 1, recall: 0.7738, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7785, kappa: 0.5569, kb_relative_information_score: 1387.7056, mean_absolute_error: 0.2361, 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: 0.4721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.76, kappa: 0.52, kb_relative_information_score: 1320.7326, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7601, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1373.7133, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7689, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1391.8673, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7777, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7658, kappa: 0.5315, kb_relative_information_score: 1366.4986, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7658, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.775, kappa: 0.55, kb_relative_information_score: 1249.113, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7751, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.414, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 1356.7728, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7568, kappa: 0.5138, kb_relative_information_score: 1218.2075, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7575, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7761, kappa: 0.5523, kb_relative_information_score: 1376.1584, mean_absolute_error: 0.2384, 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: 0.4769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1316.3803, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7848, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5051, 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: 0.8011, f_measure: 0.7738, kappa: 0.5477, kb_relative_information_score: 1429.5373, mean_absolute_error: 0.2255, 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: 0.4509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7657, kappa: 0.5315, kb_relative_information_score: 1358.4677, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7659, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7545, kappa: 0.5092, kb_relative_information_score: 1277.5232, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7551, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.5139, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7442, kappa: 0.4885, kb_relative_information_score: 1315.2673, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7445, predictive_accuracy: 0.7442, prior_entropy: 1, recall: 0.7442, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.463, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7522, kappa: 0.5046, kb_relative_information_score: 1331.2652, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7527, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.758, kappa: 0.5162, kb_relative_information_score: 1266.4742, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7583, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7792, kappa: 0.5585, kb_relative_information_score: 1394.3788, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7792, predictive_accuracy: 0.7792, prior_entropy: 1, recall: 0.7792, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.418, root_relative_squared_error: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7819, kappa: 0.5638, kb_relative_information_score: 1311.0751, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.782, predictive_accuracy: 0.7819, prior_entropy: 1, recall: 0.7819, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7591, kappa: 0.5185, kb_relative_information_score: 1221.1433, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7599, predictive_accuracy: 0.7592, prior_entropy: 1, recall: 0.7592, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7645, kappa: 0.5292, kb_relative_information_score: 1355.6929, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.765, predictive_accuracy: 0.7646, prior_entropy: 1, recall: 0.7646, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.439, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7681, kappa: 0.5362, kb_relative_information_score: 1362.9113, mean_absolute_error: 0.2396, 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: 0.4793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1293.702, mean_absolute_error: 0.2574, 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: 0.5148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7861, kappa: 0.5723, kb_relative_information_score: 1341.2514, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7862, predictive_accuracy: 0.7862, prior_entropy: 1, recall: 0.7862, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7807, kappa: 0.5615, kb_relative_information_score: 1256.7011, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7809, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7672, kappa: 0.5346, kb_relative_information_score: 1362.0777, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7676, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.4794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7677, kappa: 0.5354, kb_relative_information_score: 1337.5516, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7678, predictive_accuracy: 0.7677, prior_entropy: 1, recall: 0.7677, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1328.8703, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7843, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 1228.0107, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7627, kappa: 0.5254, kb_relative_information_score: 1373.2905, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7627, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7596, kappa: 0.5192, kb_relative_information_score: 1259.9584, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7596, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7646, kappa: 0.5292, kb_relative_information_score: 1363.558, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7646, predictive_accuracy: 0.7646, prior_entropy: 1, recall: 0.7646, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7488, kappa: 0.4977, kb_relative_information_score: 1239.4414, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7489, predictive_accuracy: 0.7488, prior_entropy: 1, recall: 0.7488, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.432, root_relative_squared_error: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7799, kappa: 0.56, kb_relative_information_score: 1253.5404, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7803, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1398.6134, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7796, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1296.8015, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7592, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.76, kappa: 0.52, kb_relative_information_score: 1341.1494, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7601, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.8991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 1330.8424, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7655, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7571, kappa: 0.5146, kb_relative_information_score: 1355.5873, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.758, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.775, kappa: 0.55, kb_relative_information_score: 1416.2441, mean_absolute_error: 0.2282, 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: 0.4564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.7619, kappa: 0.5238, kb_relative_information_score: 1353.8399, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7622, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7681, kappa: 0.5362, kb_relative_information_score: 1338.5352, mean_absolute_error: 0.2446, 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: 0.4891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1371.337, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7697, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7564, kappa: 0.5131, kb_relative_information_score: 1358.0908, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7572, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.756, kappa: 0.5123, kb_relative_information_score: 1346.5974, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7569, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9046,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7572, kappa: 0.5146, kb_relative_information_score: 1363.9517, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7576, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9033,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.775, kappa: 0.55, kb_relative_information_score: 1370.9896, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7752, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7587, kappa: 0.5177, kb_relative_information_score: 1358.0138, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7596, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7592, kappa: 0.5185, kb_relative_information_score: 1263.0475, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7592, predictive_accuracy: 0.7592, prior_entropy: 1, recall: 0.7592, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7442, kappa: 0.4885, kb_relative_information_score: 1305.6437, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7445, predictive_accuracy: 0.7442, prior_entropy: 1, recall: 0.7442, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.755, kappa: 0.51, kb_relative_information_score: 1259.1177, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7551, predictive_accuracy: 0.755, prior_entropy: 1, recall: 0.755, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7658, kappa: 0.5315, kb_relative_information_score: 1385.263, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7658, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7565, kappa: 0.5131, kb_relative_information_score: 1240.1632, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7566, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7749, kappa: 0.55, kb_relative_information_score: 1245.5202, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7753, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.5344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7792, kappa: 0.5585, kb_relative_information_score: 1268.3519, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7794, predictive_accuracy: 0.7792, prior_entropy: 1, recall: 0.7792, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.785, kappa: 0.57, kb_relative_information_score: 1298.8909, mean_absolute_error: 0.2565, 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: 0.5131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7819, kappa: 0.5638, kb_relative_information_score: 1278.6883, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.782, predictive_accuracy: 0.7819, prior_entropy: 1, recall: 0.7819, relative_absolute_error: 0.521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1386.9868, mean_absolute_error: 0.2358, 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: 0.4717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7577, kappa: 0.5154, kb_relative_information_score: 1251.8525, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7577, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7704, kappa: 0.5408, kb_relative_information_score: 1360.839, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7705, predictive_accuracy: 0.7704, prior_entropy: 1, recall: 0.7704, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7703, kappa: 0.5408, kb_relative_information_score: 1369.1285, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7708, predictive_accuracy: 0.7704, prior_entropy: 1, recall: 0.7704, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7858, kappa: 0.5715, kb_relative_information_score: 1299.303, mean_absolute_error: 0.2567, 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: 0.5133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7623, kappa: 0.5246, kb_relative_information_score: 1367.3926, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7623, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7835, kappa: 0.5669, kb_relative_information_score: 1321.9315, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7835, predictive_accuracy: 0.7835, prior_entropy: 1, recall: 0.7835, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7765, kappa: 0.5531, kb_relative_information_score: 1246.5482, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7768, predictive_accuracy: 0.7765, prior_entropy: 1, recall: 0.7765, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.413, root_relative_squared_error: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7626, kappa: 0.5254, kb_relative_information_score: 1324.6178, mean_absolute_error: 0.2472, 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: 0.4943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7542, kappa: 0.5085, kb_relative_information_score: 1219.69, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7544, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.426, root_relative_squared_error: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1408.8466, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7674, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1314.1412, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7843, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7508, kappa: 0.5015, kb_relative_information_score: 1245.2069, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7508, predictive_accuracy: 0.7508, prior_entropy: 1, recall: 0.7508, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7658, kappa: 0.5315, kb_relative_information_score: 1341.7978, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7658, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.4878, 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: 0.8062, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1407.9242, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7697, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1303.3844, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7828, predictive_accuracy: 0.7827, prior_entropy: 1, recall: 0.7827, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1401.6087, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7689, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7838, kappa: 0.5677, kb_relative_information_score: 1286.1916, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.784, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.5182, 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: 0.8275, f_measure: 0.7603, kappa: 0.5208, kb_relative_information_score: 1222.8436, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7609, predictive_accuracy: 0.7604, prior_entropy: 1, recall: 0.7604, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1389.0555, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7673, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.464, root_relative_squared_error: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7699, kappa: 0.54, kb_relative_information_score: 1377.8897, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7703, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7527, kappa: 0.5054, kb_relative_information_score: 1252.3816, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7527, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 1350.6446, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1268.3519, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.759, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1352.8733, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7674, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7861, kappa: 0.5723, kb_relative_information_score: 1303.3311, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7862, predictive_accuracy: 0.7862, prior_entropy: 1, recall: 0.7862, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7707, kappa: 0.5415, kb_relative_information_score: 1353.9009, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7709, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7719, kappa: 0.5438, kb_relative_information_score: 1380.986, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7721, predictive_accuracy: 0.7719, prior_entropy: 1, recall: 0.7719, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7676, kappa: 0.5354, kb_relative_information_score: 1344.8716, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7679, predictive_accuracy: 0.7677, prior_entropy: 1, recall: 0.7677, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7533, kappa: 0.5069, kb_relative_information_score: 1339.1392, mean_absolute_error: 0.2428, 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: 0.4855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7623, kappa: 0.5246, kb_relative_information_score: 1320.8926, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7624, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.7746, kappa: 0.5492, kb_relative_information_score: 1403.2128, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7746, predictive_accuracy: 0.7746, prior_entropy: 1, recall: 0.7746, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7792, kappa: 0.5585, kb_relative_information_score: 1317.0352, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7792, predictive_accuracy: 0.7792, prior_entropy: 1, recall: 0.7792, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7607, kappa: 0.5215, kb_relative_information_score: 1274.9788, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7609, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7573, kappa: 0.5146, kb_relative_information_score: 1244.8986, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7574, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8468,

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

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

OpenML APIs