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: 0.8263, f_measure: 0.765, kappa: 0.53, kb_relative_information_score: 1325.0566, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7651, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.785, kappa: 0.57, kb_relative_information_score: 1343.612, mean_absolute_error: 0.2461, 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: 0.4922, 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: 0.8347, f_measure: 0.7784, kappa: 0.5569, kb_relative_information_score: 1380.6652, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7786, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.4751, 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: 0.8317, f_measure: 0.7592, kappa: 0.5185, kb_relative_information_score: 1258.0778, mean_absolute_error: 0.2615, 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: 0.523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1371.8602, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7695, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7572, kappa: 0.5146, kb_relative_information_score: 1293.5407, mean_absolute_error: 0.2537, 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: 0.5074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7595, kappa: 0.5192, kb_relative_information_score: 1224.3615, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.76, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.5382, 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: 0.7715, f_measure: 0.7596, kappa: 0.5192, kb_relative_information_score: 1354.6797, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7599, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7784, kappa: 0.5569, kb_relative_information_score: 1428.6828, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7786, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.751, kappa: 0.5023, kb_relative_information_score: 1328.7443, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7519, predictive_accuracy: 0.7512, prior_entropy: 1, recall: 0.7512, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7596, kappa: 0.5192, kb_relative_information_score: 1254.223, mean_absolute_error: 0.2626, 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: 0.5252, 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: 0.8375, f_measure: 0.7811, kappa: 0.5623, kb_relative_information_score: 1289.6118, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7812, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5161, 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: 0.8357, f_measure: 0.7792, kappa: 0.5585, kb_relative_information_score: 1313.8816, mean_absolute_error: 0.252, 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: 0.504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7727, kappa: 0.5454, kb_relative_information_score: 1242.6343, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7729, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1319.7012, mean_absolute_error: 0.2519, 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: 0.5038, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7638, kappa: 0.5277, kb_relative_information_score: 1326.9289, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.764, predictive_accuracy: 0.7638, prior_entropy: 1, recall: 0.7638, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7638, kappa: 0.5277, kb_relative_information_score: 1321.8074, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.764, predictive_accuracy: 0.7638, prior_entropy: 1, recall: 0.7638, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1342.52, mean_absolute_error: 0.2441, 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: 0.4882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7519, kappa: 0.5038, kb_relative_information_score: 1345.6572, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7521, predictive_accuracy: 0.7519, prior_entropy: 1, recall: 0.7519, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7534, kappa: 0.5069, kb_relative_information_score: 1357.887, mean_absolute_error: 0.238, 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: 0.476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7731, kappa: 0.5462, kb_relative_information_score: 1396.5811, mean_absolute_error: 0.2328, 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: 0.4656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.763, kappa: 0.5262, kb_relative_information_score: 1335.2225, mean_absolute_error: 0.2452, 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: 0.4905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7761, kappa: 0.5523, kb_relative_information_score: 1427.7747, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7762, predictive_accuracy: 0.7762, prior_entropy: 1, recall: 0.7762, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7665, kappa: 0.5331, kb_relative_information_score: 1340.9068, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7668, predictive_accuracy: 0.7665, prior_entropy: 1, recall: 0.7665, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7762, kappa: 0.5523, kb_relative_information_score: 1415.1438, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7762, predictive_accuracy: 0.7762, prior_entropy: 1, recall: 0.7762, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7707, kappa: 0.5415, kb_relative_information_score: 1372.8967, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7711, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.754, kappa: 0.5085, kb_relative_information_score: 1347.3062, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7551, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7661, kappa: 0.5323, kb_relative_information_score: 1324.6032, mean_absolute_error: 0.2478, 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: 0.4956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7711, kappa: 0.5423, kb_relative_information_score: 1376.4048, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7713, predictive_accuracy: 0.7712, prior_entropy: 1, recall: 0.7712, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7699, kappa: 0.54, kb_relative_information_score: 1365.2789, mean_absolute_error: 0.2393, 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: 0.4786, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.43, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1283.2776, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7825, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7834, kappa: 0.5669, kb_relative_information_score: 1267.1747, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7837, predictive_accuracy: 0.7835, prior_entropy: 1, recall: 0.7835, relative_absolute_error: 0.5267, 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: 0.8379, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1372.9801, mean_absolute_error: 0.2389, 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: 0.4778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.417, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 1394.3662, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1395.112, mean_absolute_error: 0.2323, 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: 0.4645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1360.3548, mean_absolute_error: 0.2418, 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: 0.4835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7635, kappa: 0.5269, kb_relative_information_score: 1382.7389, mean_absolute_error: 0.2341, 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: 0.4681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1283.5699, mean_absolute_error: 0.2597, 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: 0.5195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1318.2857, mean_absolute_error: 0.2511, 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: 0.5023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7727, kappa: 0.5454, kb_relative_information_score: 1399.0738, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7728, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7604, kappa: 0.5208, kb_relative_information_score: 1265.317, mean_absolute_error: 0.26, 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: 0.52, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7653, kappa: 0.5308, kb_relative_information_score: 1335.7417, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7657, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.4908, 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: 0.8424, f_measure: 0.7812, kappa: 0.5623, kb_relative_information_score: 1374.891, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7812, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.478, 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: 0.8299, f_measure: 0.7665, kappa: 0.5331, kb_relative_information_score: 1336.3992, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7667, predictive_accuracy: 0.7665, prior_entropy: 1, recall: 0.7665, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7677, kappa: 0.5354, kb_relative_information_score: 1378.6716, mean_absolute_error: 0.2361, 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: 0.4723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7761, kappa: 0.5523, kb_relative_information_score: 1373.2837, mean_absolute_error: 0.2389, 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: 0.4778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7708, kappa: 0.5415, kb_relative_information_score: 1382.4401, mean_absolute_error: 0.2357, 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: 0.4714, 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: 0.8237, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1289.3044, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7566, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.5092, 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: 0.8253, f_measure: 0.7645, kappa: 0.5292, kb_relative_information_score: 1322.1241, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7649, predictive_accuracy: 0.7646, prior_entropy: 1, recall: 0.7646, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1338.2645, mean_absolute_error: 0.2472, 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: 0.4944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7619, kappa: 0.5238, kb_relative_information_score: 1378.4721, mean_absolute_error: 0.2344, 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: 0.4687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7761, kappa: 0.5523, kb_relative_information_score: 1251.5762, mean_absolute_error: 0.2658, 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: 0.5317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7634, kappa: 0.5269, kb_relative_information_score: 1353.1589, mean_absolute_error: 0.2407, 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: 0.4815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7552, kappa: 0.5108, kb_relative_information_score: 1213.9055, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.756, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7835, kappa: 0.5669, kb_relative_information_score: 1350.3117, mean_absolute_error: 0.2445, 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: 0.489, 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: 0.8275, f_measure: 0.7573, kappa: 0.5146, kb_relative_information_score: 1244.892, 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: 0.5288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1296.1805, mean_absolute_error: 0.2571, 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: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1397.0124, mean_absolute_error: 0.2337, 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: 0.4674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7704, kappa: 0.5408, kb_relative_information_score: 1354.4244, mean_absolute_error: 0.2414, 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: 0.4829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7573, kappa: 0.5146, kb_relative_information_score: 1234.7469, mean_absolute_error: 0.2666, 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: 0.5332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7731, kappa: 0.5462, kb_relative_information_score: 1414.5962, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7731, predictive_accuracy: 0.7731, prior_entropy: 1, recall: 0.7731, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7668, kappa: 0.5338, kb_relative_information_score: 1367.1087, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7674, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.432, root_relative_squared_error: 0.8641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7565, kappa: 0.5131, kb_relative_information_score: 1351.921, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7568, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7618, kappa: 0.5238, kb_relative_information_score: 1223.4955, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7623, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 1247.4533, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7501, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7711, kappa: 0.5423, kb_relative_information_score: 1400.0767, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7714, predictive_accuracy: 0.7712, prior_entropy: 1, recall: 0.7712, relative_absolute_error: 0.4629, 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: 0.835, f_measure: 0.7812, kappa: 0.5623, kb_relative_information_score: 1315.892, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7812, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7508, kappa: 0.5015, kb_relative_information_score: 1242.2664, mean_absolute_error: 0.2641, 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: 0.5282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1259.3425, mean_absolute_error: 0.2646, 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: 0.5292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7877, kappa: 0.5754, kb_relative_information_score: 1305.2565, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7877, predictive_accuracy: 0.7877, prior_entropy: 1, recall: 0.7877, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1416.1119, mean_absolute_error: 0.2278, 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: 0.4556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7542, kappa: 0.5085, kb_relative_information_score: 1221.9564, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7545, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7707, kappa: 0.5415, kb_relative_information_score: 1379.6621, mean_absolute_error: 0.2364, 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: 0.4727, 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: 0.8268, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1235.379, mean_absolute_error: 0.2661, 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: 0.5322, 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: 0.8289, f_measure: 0.7646, kappa: 0.5292, kb_relative_information_score: 1329.8122, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7649, predictive_accuracy: 0.7646, prior_entropy: 1, recall: 0.7646, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7565, kappa: 0.5131, kb_relative_information_score: 1228.1504, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7567, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.785, kappa: 0.57, kb_relative_information_score: 1297.4787, mean_absolute_error: 0.257, 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: 0.514, 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: 0.8015, f_measure: 0.755, kappa: 0.51, kb_relative_information_score: 1369.2055, mean_absolute_error: 0.2357, 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: 0.4713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7607, kappa: 0.5215, kb_relative_information_score: 1305.671, mean_absolute_error: 0.2512, 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: 0.5024, 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: 0.8423, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1299.4583, mean_absolute_error: 0.2564, 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: 0.5129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7754, kappa: 0.5508, kb_relative_information_score: 1346.5575, mean_absolute_error: 0.2446, 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: 0.4891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7646, kappa: 0.5292, kb_relative_information_score: 1336.3244, mean_absolute_error: 0.2447, 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: 0.4894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 1339.3016, mean_absolute_error: 0.2473, 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: 0.4946, 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: 0.8426, f_measure: 0.785, kappa: 0.57, kb_relative_information_score: 1304.3814, mean_absolute_error: 0.2553, 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: 0.5105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1381.9639, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7778, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7622, kappa: 0.5246, kb_relative_information_score: 1232.6993, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7628, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.778, kappa: 0.5562, kb_relative_information_score: 1255.5868, mean_absolute_error: 0.2653, 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: 0.5307, 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: 0.833, f_measure: 0.7619, kappa: 0.5238, kb_relative_information_score: 1263.6238, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7619, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7519, kappa: 0.5038, kb_relative_information_score: 1350.0668, mean_absolute_error: 0.2396, 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: 0.4791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.7492, kappa: 0.4985, kb_relative_information_score: 1321.5249, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7492, predictive_accuracy: 0.7492, prior_entropy: 1, recall: 0.7492, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1377.6728, mean_absolute_error: 0.2364, 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: 0.4727, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7757, kappa: 0.5515, kb_relative_information_score: 1384.317, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7762, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7749, kappa: 0.55, kb_relative_information_score: 1242.8669, mean_absolute_error: 0.2677, 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: 0.5354, 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: 0.8389, f_measure: 0.7811, kappa: 0.5623, kb_relative_information_score: 1258.8485, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7814, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7835, kappa: 0.5669, kb_relative_information_score: 1362.9287, mean_absolute_error: 0.2419, 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: 0.4838, 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: 0.8274, f_measure: 0.766, kappa: 0.5323, kb_relative_information_score: 1375.8614, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7669, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.7518, kappa: 0.5038, kb_relative_information_score: 1333.5781, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7522, predictive_accuracy: 0.7519, prior_entropy: 1, recall: 0.7519, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1365.7174, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.767, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1233.1225, mean_absolute_error: 0.2667, 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: 0.5335, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1255.8351, mean_absolute_error: 0.2657, 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: 0.5315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8221,

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