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: 0.8433, f_measure: 0.785, kappa: 0.57, kb_relative_information_score: 1373.0634, mean_absolute_error: 0.2399, 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: 0.4797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1234.6098, mean_absolute_error: 0.2665, 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: 0.5331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1356.095, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7769, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7761, kappa: 0.5523, kb_relative_information_score: 1365.9428, mean_absolute_error: 0.2405, 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: 0.481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1305.9234, mean_absolute_error: 0.2547, 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: 0.5095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7808, kappa: 0.5615, kb_relative_information_score: 1321.372, mean_absolute_error: 0.2507, 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: 0.5014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.412, root_relative_squared_error: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7831, kappa: 0.5662, kb_relative_information_score: 1306.0141, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7832, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7854, kappa: 0.5708, kb_relative_information_score: 1302.9536, mean_absolute_error: 0.2557, 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: 0.5114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.409, root_relative_squared_error: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7742, kappa: 0.5485, kb_relative_information_score: 1373.1307, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7746, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7808, kappa: 0.5615, kb_relative_information_score: 1392.0168, mean_absolute_error: 0.235, 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: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7708, kappa: 0.5415, kb_relative_information_score: 1409.567, mean_absolute_error: 0.2289, 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: 0.4578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7576, kappa: 0.5154, kb_relative_information_score: 1232.918, mean_absolute_error: 0.2673, 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: 0.5347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1312.987, mean_absolute_error: 0.2532, 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: 0.5064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7631, kappa: 0.5262, kb_relative_information_score: 1319.8964, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7631, predictive_accuracy: 0.7631, prior_entropy: 1, recall: 0.7631, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.765, kappa: 0.53, kb_relative_information_score: 1329.321, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7652, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.763, kappa: 0.5262, kb_relative_information_score: 1374.2451, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7632, predictive_accuracy: 0.7631, prior_entropy: 1, recall: 0.7631, relative_absolute_error: 0.4711, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7735, kappa: 0.5469, kb_relative_information_score: 1396.8979, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7735, predictive_accuracy: 0.7735, prior_entropy: 1, recall: 0.7735, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.7707, kappa: 0.5415, kb_relative_information_score: 1412.6439, mean_absolute_error: 0.2282, 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: 0.4564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7862, kappa: 0.5723, kb_relative_information_score: 1299.0429, mean_absolute_error: 0.2567, 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: 0.5134, 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: 0.8392, f_measure: 0.7808, kappa: 0.5615, kb_relative_information_score: 1324.1346, mean_absolute_error: 0.2501, 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: 0.5002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7523, kappa: 0.5046, kb_relative_information_score: 1250.4779, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7524, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 1348.5419, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7869, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.491, 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: 0.8428, f_measure: 0.79, kappa: 0.58, kb_relative_information_score: 1351.6508, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.79, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7592, kappa: 0.5185, kb_relative_information_score: 1358.415, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7593, predictive_accuracy: 0.7592, prior_entropy: 1, recall: 0.7592, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 1377.3377, mean_absolute_error: 0.2367, 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: 0.4734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7522, kappa: 0.5046, kb_relative_information_score: 1324.8068, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7526, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7792, kappa: 0.5585, kb_relative_information_score: 1408.8351, mean_absolute_error: 0.2315, 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: 0.463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7854, kappa: 0.5708, kb_relative_information_score: 1306.6981, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7855, predictive_accuracy: 0.7854, prior_entropy: 1, recall: 0.7854, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 1377.2256, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7654, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1254.7958, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7771, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.5309, 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: 0.8242, f_measure: 0.7727, kappa: 0.5454, kb_relative_information_score: 1395.6194, mean_absolute_error: 0.2331, 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: 0.4661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7742, kappa: 0.5485, kb_relative_information_score: 1383.8123, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7745, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7857, kappa: 0.5715, kb_relative_information_score: 1301.612, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7859, predictive_accuracy: 0.7858, prior_entropy: 1, recall: 0.7858, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.773, kappa: 0.5462, kb_relative_information_score: 1238.9124, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7732, predictive_accuracy: 0.7731, prior_entropy: 1, recall: 0.7731, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7514, kappa: 0.5031, kb_relative_information_score: 1344.4758, mean_absolute_error: 0.2408, 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: 0.4816, 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: 0.8128, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 1408.7558, mean_absolute_error: 0.2296, 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: 0.4592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7677, kappa: 0.5354, kb_relative_information_score: 1397.3797, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7677, predictive_accuracy: 0.7677, prior_entropy: 1, recall: 0.7677, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7564, kappa: 0.5131, kb_relative_information_score: 1219.1726, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.757, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1294.1009, mean_absolute_error: 0.2576, 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: 0.5153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1375.6543, mean_absolute_error: 0.2384, 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: 0.4768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7677, kappa: 0.5354, kb_relative_information_score: 1412.3807, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7677, predictive_accuracy: 0.7677, prior_entropy: 1, recall: 0.7677, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7708, kappa: 0.5415, kb_relative_information_score: 1369.4082, mean_absolute_error: 0.2381, 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: 0.4762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1412.7817, mean_absolute_error: 0.2281, 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: 0.4563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7681, kappa: 0.5362, kb_relative_information_score: 1361.4985, mean_absolute_error: 0.2399, 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: 0.4798, 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: 0.8391, f_measure: 0.7799, kappa: 0.56, kb_relative_information_score: 1264.8772, mean_absolute_error: 0.2635, 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: 0.527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7604, kappa: 0.5208, kb_relative_information_score: 1260.2755, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7604, predictive_accuracy: 0.7604, prior_entropy: 1, recall: 0.7604, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7831, kappa: 0.5662, kb_relative_information_score: 1302.0949, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7832, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7614, kappa: 0.5231, kb_relative_information_score: 1381.7028, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7621, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7807, kappa: 0.5615, kb_relative_information_score: 1298.8293, mean_absolute_error: 0.2559, 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: 0.5118, 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: 0.8266, f_measure: 0.7627, kappa: 0.5254, kb_relative_information_score: 1322.3948, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7628, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7854, kappa: 0.5708, kb_relative_information_score: 1355.915, mean_absolute_error: 0.2438, 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: 0.4875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7612, kappa: 0.5223, kb_relative_information_score: 1261.6807, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7612, predictive_accuracy: 0.7612, prior_entropy: 1, recall: 0.7612, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.424, root_relative_squared_error: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7838, kappa: 0.5677, kb_relative_information_score: 1314.9594, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7839, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7488, kappa: 0.4977, kb_relative_information_score: 1329.9106, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.749, predictive_accuracy: 0.7488, prior_entropy: 1, recall: 0.7488, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7811, kappa: 0.5623, kb_relative_information_score: 1275.1383, mean_absolute_error: 0.2612, 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: 0.5224, 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: 0.8237, f_measure: 0.7646, kappa: 0.5292, kb_relative_information_score: 1339.2931, mean_absolute_error: 0.2445, 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: 0.489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1314.2623, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7847, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5063, 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: 0.8199, f_measure: 0.7704, kappa: 0.5408, kb_relative_information_score: 1374.9789, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7704, predictive_accuracy: 0.7704, prior_entropy: 1, recall: 0.7704, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1294.0742, mean_absolute_error: 0.2572, 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: 0.5144, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1349.9457, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7671, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7862, kappa: 0.5723, kb_relative_information_score: 1357.4675, mean_absolute_error: 0.2436, 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: 0.4871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7677, kappa: 0.5354, kb_relative_information_score: 1336.0781, mean_absolute_error: 0.2456, 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: 0.4911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1293.215, 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: 0.4093, root_relative_squared_error: 0.8186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1322.501, mean_absolute_error: 0.2504, 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: 0.5009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7618, kappa: 0.5238, kb_relative_information_score: 1283.7018, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7624, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.5121, 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: 0.8304, f_measure: 0.7608, kappa: 0.5215, kb_relative_information_score: 1255.5764, mean_absolute_error: 0.2625, 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: 0.5249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7573, kappa: 0.5146, kb_relative_information_score: 1244.869, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7573, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7625, kappa: 0.5254, kb_relative_information_score: 1232.2426, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7634, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.5358, 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: 0.7874, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1394.1056, mean_absolute_error: 0.2317, 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: 0.4634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.7838, kappa: 0.5677, kb_relative_information_score: 1298.695, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7839, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7707, kappa: 0.5415, kb_relative_information_score: 1362.7498, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.771, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7703, kappa: 0.5408, kb_relative_information_score: 1363.1813, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7707, predictive_accuracy: 0.7704, prior_entropy: 1, recall: 0.7704, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7573, kappa: 0.5146, kb_relative_information_score: 1269.8226, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7575, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7811, kappa: 0.5623, kb_relative_information_score: 1263.2497, mean_absolute_error: 0.2641, 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: 0.5281, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7735, kappa: 0.5469, kb_relative_information_score: 1398.9228, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7735, predictive_accuracy: 0.7735, prior_entropy: 1, recall: 0.7735, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1389.4879, mean_absolute_error: 0.2339, 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: 0.4679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7676, kappa: 0.5354, kb_relative_information_score: 1379.6081, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7682, predictive_accuracy: 0.7677, prior_entropy: 1, recall: 0.7677, relative_absolute_error: 0.4712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7885, kappa: 0.5769, kb_relative_information_score: 1349.0018, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7885, predictive_accuracy: 0.7885, prior_entropy: 1, recall: 0.7885, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7623, kappa: 0.5246, kb_relative_information_score: 1284.9838, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7625, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1258.6076, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7845, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7519, kappa: 0.5038, kb_relative_information_score: 1335.5957, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.752, predictive_accuracy: 0.7519, prior_entropy: 1, recall: 0.7519, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7714, kappa: 0.5431, kb_relative_information_score: 1377.5964, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.772, predictive_accuracy: 0.7715, prior_entropy: 1, recall: 0.7715, relative_absolute_error: 0.4742, 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: 0.8239, f_measure: 0.7719, kappa: 0.5438, kb_relative_information_score: 1384.5158, mean_absolute_error: 0.2352, 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: 0.4705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7596, kappa: 0.5192, kb_relative_information_score: 1271.0892, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7598, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7526, kappa: 0.5054, kb_relative_information_score: 1353.6518, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7531, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7784, kappa: 0.5569, kb_relative_information_score: 1255.8172, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7787, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7807, kappa: 0.5615, kb_relative_information_score: 1258.8174, mean_absolute_error: 0.265, 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: 0.53, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7649, kappa: 0.53, kb_relative_information_score: 1365.3797, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7652, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 1389.2032, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7782, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8312,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7634, kappa: 0.5269, kb_relative_information_score: 1361.9776, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7639, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.4777, 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: 0.8341, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1387.9912, mean_absolute_error: 0.2356, 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: 0.4712, 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: 0.8339, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 1245.4989, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7782, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.5349, 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: 0.8203, f_measure: 0.7723, kappa: 0.5446, kb_relative_information_score: 1398.5564, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7723, predictive_accuracy: 0.7723, prior_entropy: 1, recall: 0.7723, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7565, kappa: 0.5131, kb_relative_information_score: 1291.7146, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7569, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7525, kappa: 0.5054, kb_relative_information_score: 1334.6411, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7536, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.4868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7838, kappa: 0.5677, kb_relative_information_score: 1304.2681, mean_absolute_error: 0.2551, 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: 0.5102, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.409, root_relative_squared_error: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1391.5548, mean_absolute_error: 0.2329, 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: 0.4657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 1314.9599, mean_absolute_error: 0.2518, 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: 0.5037, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7634, kappa: 0.5269, kb_relative_information_score: 1326.9896, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7637, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8593,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs