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: 0.8314, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1260.5446, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7588, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7538, kappa: 0.5077, kb_relative_information_score: 1256.8241, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7539, predictive_accuracy: 0.7538, prior_entropy: 1, recall: 0.7538, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 1260.5974, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7616, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7576, kappa: 0.5154, kb_relative_information_score: 1269.5948, mean_absolute_error: 0.259, 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: 0.518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 1399.8527, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7702, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1315.994, mean_absolute_error: 0.2517, 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: 0.5034, 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: 0.8358, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1244.5206, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7775, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.7765, kappa: 0.5531, kb_relative_information_score: 1409.413, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7766, predictive_accuracy: 0.7765, prior_entropy: 1, recall: 0.7765, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1320.3718, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7788, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1400.6377, mean_absolute_error: 0.2312, 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: 0.4624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7554, kappa: 0.5108, kb_relative_information_score: 1234.3275, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7555, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7568, kappa: 0.5138, kb_relative_information_score: 1356.6957, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7574, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7708, kappa: 0.5415, kb_relative_information_score: 1375.7644, mean_absolute_error: 0.237, 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: 0.4741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7677, kappa: 0.5354, kb_relative_information_score: 1412.2875, mean_absolute_error: 0.2283, 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: 0.4567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.445, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7819, kappa: 0.5638, kb_relative_information_score: 1281.0244, mean_absolute_error: 0.2601, 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: 0.5202, 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: 0.8405, f_measure: 0.7888, kappa: 0.5777, kb_relative_information_score: 1368.714, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7888, predictive_accuracy: 0.7888, prior_entropy: 1, recall: 0.7888, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7715, kappa: 0.5431, kb_relative_information_score: 1407.9958, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7716, predictive_accuracy: 0.7715, prior_entropy: 1, recall: 0.7715, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.758, kappa: 0.5162, kb_relative_information_score: 1371.3985, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7586, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.453, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1269.5518, mean_absolute_error: 0.2592, 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: 0.5184, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7677, kappa: 0.5354, kb_relative_information_score: 1376.2369, mean_absolute_error: 0.2366, 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: 0.4731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1259.1475, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7775, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1339.3088, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7675, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7584, kappa: 0.5169, kb_relative_information_score: 1264.5343, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7586, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.5206, 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: 0.8405, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1317.1856, mean_absolute_error: 0.2526, 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: 0.5051, 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: 0.7989, f_measure: 0.7542, kappa: 0.5085, kb_relative_information_score: 1360.0426, mean_absolute_error: 0.2376, 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: 0.4751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7557, kappa: 0.5115, kb_relative_information_score: 1231.6229, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7559, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.5344, 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: 0.7672, f_measure: 0.7577, kappa: 0.5154, kb_relative_information_score: 1351.3399, mean_absolute_error: 0.2397, 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: 0.4795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7695, kappa: 0.5392, kb_relative_information_score: 1371.6416, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.77, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.4763, 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: 0.8169, f_measure: 0.7685, kappa: 0.5369, kb_relative_information_score: 1383.4425, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7685, predictive_accuracy: 0.7685, prior_entropy: 1, recall: 0.7685, relative_absolute_error: 0.4706, 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: 0.8379, f_measure: 0.7792, kappa: 0.5585, kb_relative_information_score: 1269.9632, mean_absolute_error: 0.2622, 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: 0.5243, 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: 0.8244, f_measure: 0.7508, kappa: 0.5015, kb_relative_information_score: 1244.7387, mean_absolute_error: 0.2636, 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: 0.5272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7629, kappa: 0.5262, kb_relative_information_score: 1363.2654, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7637, predictive_accuracy: 0.7631, prior_entropy: 1, recall: 0.7631, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1380.8383, mean_absolute_error: 0.2357, 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: 0.4715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7642, kappa: 0.5285, kb_relative_information_score: 1386.6045, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7642, predictive_accuracy: 0.7642, prior_entropy: 1, recall: 0.7642, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1323.4653, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7827, predictive_accuracy: 0.7827, prior_entropy: 1, recall: 0.7827, relative_absolute_error: 0.501, 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: 0.8272, f_measure: 0.7554, kappa: 0.5108, kb_relative_information_score: 1240.3538, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7554, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7545, kappa: 0.5092, kb_relative_information_score: 1288.8461, mean_absolute_error: 0.2545, 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: 0.509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7754, kappa: 0.5508, kb_relative_information_score: 1394.4763, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7754, predictive_accuracy: 0.7754, prior_entropy: 1, recall: 0.7754, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.441, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1231.9846, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7565, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7542, kappa: 0.5085, kb_relative_information_score: 1338.7316, mean_absolute_error: 0.2423, 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: 0.4847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1268.4319, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.779, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7488, kappa: 0.4977, kb_relative_information_score: 1309.0206, mean_absolute_error: 0.2479, 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: 0.4958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7665, kappa: 0.5331, kb_relative_information_score: 1376.3399, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7666, predictive_accuracy: 0.7665, prior_entropy: 1, recall: 0.7665, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7765, kappa: 0.5531, kb_relative_information_score: 1248.9381, mean_absolute_error: 0.2665, 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: 0.533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7727, kappa: 0.5454, kb_relative_information_score: 1406.7549, mean_absolute_error: 0.2294, 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: 0.4588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1403.661, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7693, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1384.4129, mean_absolute_error: 0.235, 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: 0.47, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8666,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7534, kappa: 0.5069, kb_relative_information_score: 1219.1517, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7536, predictive_accuracy: 0.7535, prior_entropy: 1, recall: 0.7535, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8512,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7661, kappa: 0.5323, kb_relative_information_score: 1345.1576, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7663, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 1361.6242, mean_absolute_error: 0.2396, 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: 0.4793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 1303.8898, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.787, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7862, kappa: 0.5723, kb_relative_information_score: 1365.1296, mean_absolute_error: 0.2418, 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: 0.4837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7485, kappa: 0.4969, kb_relative_information_score: 1328.4544, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7485, predictive_accuracy: 0.7485, prior_entropy: 1, recall: 0.7485, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7642, kappa: 0.5285, kb_relative_information_score: 1331.1829, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7642, predictive_accuracy: 0.7642, prior_entropy: 1, recall: 0.7642, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7738, kappa: 0.5477, kb_relative_information_score: 1417.7008, mean_absolute_error: 0.2276, 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: 0.4553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7858, kappa: 0.5715, kb_relative_information_score: 1341.7125, mean_absolute_error: 0.2467, 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: 0.4934, 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: 0.8273, f_measure: 0.7596, kappa: 0.5192, kb_relative_information_score: 1271.119, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7597, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.5181, 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: 0.8392, f_measure: 0.7838, kappa: 0.5677, kb_relative_information_score: 1333.0432, mean_absolute_error: 0.2483, 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: 0.4966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7835, kappa: 0.5669, kb_relative_information_score: 1348.8693, mean_absolute_error: 0.2448, 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: 0.4897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7523, kappa: 0.5046, kb_relative_information_score: 1218.2742, mean_absolute_error: 0.2696, 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: 0.5391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1248.9782, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7775, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7607, kappa: 0.5215, kb_relative_information_score: 1306.0762, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7612, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7635, kappa: 0.5269, kb_relative_information_score: 1361.3373, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7583, kappa: 0.5169, kb_relative_information_score: 1221.8157, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7591, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7627, kappa: 0.5254, kb_relative_information_score: 1377.9583, mean_absolute_error: 0.2354, 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: 0.4709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7572, kappa: 0.5146, kb_relative_information_score: 1303.0853, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7577, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1265.4597, mean_absolute_error: 0.26, 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: 0.5201, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1349.2822, mean_absolute_error: 0.2429, 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: 0.4858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7538, kappa: 0.5077, kb_relative_information_score: 1287.8199, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7542, predictive_accuracy: 0.7538, prior_entropy: 1, recall: 0.7538, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7557, kappa: 0.5115, kb_relative_information_score: 1226.794, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.756, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7661, kappa: 0.5323, kb_relative_information_score: 1360.4904, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7663, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4799, 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: 0.8408, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1297.2823, mean_absolute_error: 0.2568, 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: 0.5137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.79, kappa: 0.58, kb_relative_information_score: 1358.2146, mean_absolute_error: 0.2435, 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: 0.4869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7657, kappa: 0.5315, kb_relative_information_score: 1346.2449, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.766, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1376.661, mean_absolute_error: 0.2385, 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: 0.4769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8274,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7742, kappa: 0.5485, kb_relative_information_score: 1381.4153, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7744, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8355,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7572, kappa: 0.5146, kb_relative_information_score: 1340.4848, mean_absolute_error: 0.2424, 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: 0.4847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7676, kappa: 0.5354, kb_relative_information_score: 1370.546, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7681, predictive_accuracy: 0.7677, prior_entropy: 1, recall: 0.7677, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1288.7051, mean_absolute_error: 0.2588, 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: 0.5176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7649, kappa: 0.53, kb_relative_information_score: 1366.6269, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7653, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7634, kappa: 0.5269, kb_relative_information_score: 1326.9186, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7684, kappa: 0.5369, kb_relative_information_score: 1376.4915, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7686, predictive_accuracy: 0.7685, prior_entropy: 1, recall: 0.7685, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7761, kappa: 0.5523, kb_relative_information_score: 1246.1651, mean_absolute_error: 0.2673, 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: 0.5346, 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: 0.796, f_measure: 0.7568, kappa: 0.5138, kb_relative_information_score: 1349.6923, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7573, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1267.2852, mean_absolute_error: 0.2596, 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: 0.5192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8594,

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