OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
Issue #Downvotes for this reason By


Metric:

54817 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7464, kappa: 0.4931, kb_relative_information_score: 1324.0174, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7471, predictive_accuracy: 0.7465, prior_entropy: 1, recall: 0.7465, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7704, kappa: 0.5408, kb_relative_information_score: 1405.9727, mean_absolute_error: 0.2298, 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: 0.4596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7658, kappa: 0.5315, kb_relative_information_score: 1329.0825, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7659, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.494, 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: 0.8376, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1361.2825, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7789, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7603, kappa: 0.5208, kb_relative_information_score: 1292.6873, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7608, predictive_accuracy: 0.7604, prior_entropy: 1, recall: 0.7604, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7587, kappa: 0.5177, kb_relative_information_score: 1214.946, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7595, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.5422, 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: 0.808, f_measure: 0.7723, kappa: 0.5446, kb_relative_information_score: 1402.4117, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7724, predictive_accuracy: 0.7723, prior_entropy: 1, recall: 0.7723, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7508, kappa: 0.5015, kb_relative_information_score: 1246.8513, mean_absolute_error: 0.2633, 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: 0.5265, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7712, kappa: 0.5423, kb_relative_information_score: 1413.669, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7712, predictive_accuracy: 0.7712, prior_entropy: 1, recall: 0.7712, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7558, kappa: 0.5115, kb_relative_information_score: 1235.2822, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7558, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1376.3563, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7665, kappa: 0.5331, kb_relative_information_score: 1361.806, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7665, predictive_accuracy: 0.7665, prior_entropy: 1, recall: 0.7665, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7819, kappa: 0.5638, kb_relative_information_score: 1307.6954, mean_absolute_error: 0.2542, 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: 0.5084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1310.5691, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7844, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.5076, 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: 0.7764, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 1387.6797, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7655, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7598, kappa: 0.52, kb_relative_information_score: 1345.4527, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7608, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7719, kappa: 0.5438, kb_relative_information_score: 1358.1646, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7721, predictive_accuracy: 0.7719, prior_entropy: 1, recall: 0.7719, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7819, kappa: 0.5638, kb_relative_information_score: 1282.2273, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7821, predictive_accuracy: 0.7819, prior_entropy: 1, recall: 0.7819, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7546, kappa: 0.5092, kb_relative_information_score: 1227.6816, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7549, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7554, kappa: 0.5108, kb_relative_information_score: 1235.0592, 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: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7785, kappa: 0.5569, kb_relative_information_score: 1305.6237, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7785, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.775, kappa: 0.55, kb_relative_information_score: 1359.4706, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.775, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7735, kappa: 0.5469, kb_relative_information_score: 1388.7128, mean_absolute_error: 0.2345, 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: 0.469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7565, kappa: 0.5131, kb_relative_information_score: 1351.6797, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7566, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1393.9199, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7681, kappa: 0.5362, kb_relative_information_score: 1352.1172, mean_absolute_error: 0.2419, 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: 0.4838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1424.4801, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7789, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.44, root_relative_squared_error: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 1222.2339, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.5392, 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: 0.8069, f_measure: 0.7646, kappa: 0.5292, kb_relative_information_score: 1387.412, mean_absolute_error: 0.2332, 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: 0.4665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7708, kappa: 0.5415, kb_relative_information_score: 1392.3486, mean_absolute_error: 0.2331, 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: 0.4662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7811, kappa: 0.5623, kb_relative_information_score: 1259.0021, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7815, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1248.6169, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7772, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7742, kappa: 0.5485, kb_relative_information_score: 1397.4656, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7743, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1301.7131, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7797, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7803, kappa: 0.5608, kb_relative_information_score: 1253.6915, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7807, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1371.0639, mean_absolute_error: 0.2394, 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: 0.4788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7677, kappa: 0.5354, kb_relative_information_score: 1375.7293, mean_absolute_error: 0.2368, 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: 0.4736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7592, kappa: 0.5185, kb_relative_information_score: 1271.2144, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7594, predictive_accuracy: 0.7592, prior_entropy: 1, recall: 0.7592, relative_absolute_error: 0.5175, 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: 0.8334, f_measure: 0.7596, kappa: 0.5192, kb_relative_information_score: 1263.1665, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7596, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1317.4734, mean_absolute_error: 0.2514, 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: 0.5027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.783, kappa: 0.5662, kb_relative_information_score: 1296.4091, mean_absolute_error: 0.2567, 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: 0.5134, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1378.6236, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7698, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7691, kappa: 0.5385, kb_relative_information_score: 1405.2647, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7697, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7565, kappa: 0.5131, kb_relative_information_score: 1226.6129, mean_absolute_error: 0.2684, 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: 0.5368, 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: 0.8211, f_measure: 0.7587, kappa: 0.5177, kb_relative_information_score: 1368.6445, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7596, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.438, root_relative_squared_error: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7576, kappa: 0.5154, kb_relative_information_score: 1356.303, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7582, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7492, kappa: 0.4985, kb_relative_information_score: 1243.2834, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7493, predictive_accuracy: 0.7492, prior_entropy: 1, recall: 0.7492, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1286.2806, mean_absolute_error: 0.259, 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: 0.518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7569, kappa: 0.5138, kb_relative_information_score: 1249.2269, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7569, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7645, kappa: 0.5292, kb_relative_information_score: 1355.9226, mean_absolute_error: 0.2403, 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: 0.4806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7653, kappa: 0.5308, kb_relative_information_score: 1326.1022, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7656, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7672, kappa: 0.5346, kb_relative_information_score: 1373.8976, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7679, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.4736, 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: 0.805, f_measure: 0.7538, kappa: 0.5077, kb_relative_information_score: 1337.3408, mean_absolute_error: 0.2426, 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: 0.4853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1378.2888, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7774, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1258.0702, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7589, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7819, kappa: 0.5638, kb_relative_information_score: 1283.3804, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7821, predictive_accuracy: 0.7819, prior_entropy: 1, recall: 0.7819, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1230.5865, mean_absolute_error: 0.2676, 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: 0.5352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7608, kappa: 0.5215, kb_relative_information_score: 1362.4672, mean_absolute_error: 0.2377, 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: 0.4755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7661, kappa: 0.5323, kb_relative_information_score: 1357.2188, mean_absolute_error: 0.2407, 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: 0.4814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7519, kappa: 0.5038, kb_relative_information_score: 1216.946, mean_absolute_error: 0.2699, 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: 0.5398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7622, kappa: 0.5246, kb_relative_information_score: 1362.3318, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7626, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.778, kappa: 0.5562, kb_relative_information_score: 1257.3999, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7783, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.53, 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: 0.8017, f_measure: 0.7633, kappa: 0.5269, kb_relative_information_score: 1351.0989, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7641, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, 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: 0.8393, f_measure: 0.7838, kappa: 0.5677, kb_relative_information_score: 1298.8166, mean_absolute_error: 0.2565, 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: 0.5129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1388.5187, mean_absolute_error: 0.2355, 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: 0.471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7738, kappa: 0.5477, kb_relative_information_score: 1401.9951, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7738, predictive_accuracy: 0.7738, prior_entropy: 1, recall: 0.7738, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1367.7961, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7699, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7504, kappa: 0.5008, kb_relative_information_score: 1244.4164, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7505, predictive_accuracy: 0.7504, prior_entropy: 1, recall: 0.7504, relative_absolute_error: 0.5273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7468, kappa: 0.4938, kb_relative_information_score: 1304.1215, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7473, predictive_accuracy: 0.7469, prior_entropy: 1, recall: 0.7469, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7896, kappa: 0.5792, kb_relative_information_score: 1311.9229, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7896, predictive_accuracy: 0.7896, prior_entropy: 1, recall: 0.7896, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1290.6281, mean_absolute_error: 0.2543, 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: 0.5087, 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: 0.8138, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1357.9745, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7672, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7784, kappa: 0.5569, kb_relative_information_score: 1269.5997, mean_absolute_error: 0.2621, 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: 0.5242, 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: 0.8233, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 1333.1629, mean_absolute_error: 0.2458, 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: 0.4916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 1365.5052, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7655, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7838, kappa: 0.5677, kb_relative_information_score: 1349.244, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7838, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.775, kappa: 0.55, kb_relative_information_score: 1241.8488, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7752, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7576, kappa: 0.5154, kb_relative_information_score: 1342.4503, mean_absolute_error: 0.2425, 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: 0.485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7611, kappa: 0.5223, kb_relative_information_score: 1380.336, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7616, predictive_accuracy: 0.7612, prior_entropy: 1, recall: 0.7612, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7527, kappa: 0.5054, kb_relative_information_score: 1251.5636, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7527, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.5253, 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: 0.8196, f_measure: 0.7658, kappa: 0.5315, kb_relative_information_score: 1327.4284, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7658, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7854, kappa: 0.5708, kb_relative_information_score: 1296.0495, mean_absolute_error: 0.2572, 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: 0.5145, 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: 0.8178, f_measure: 0.7712, kappa: 0.5423, kb_relative_information_score: 1377.8308, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7712, predictive_accuracy: 0.7712, prior_entropy: 1, recall: 0.7712, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7807, kappa: 0.5615, kb_relative_information_score: 1298.7279, mean_absolute_error: 0.2558, 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: 0.5116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7661, kappa: 0.5323, kb_relative_information_score: 1379.0973, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7662, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7754, kappa: 0.5508, kb_relative_information_score: 1371.4377, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7756, predictive_accuracy: 0.7754, prior_entropy: 1, recall: 0.7754, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7684, kappa: 0.5369, kb_relative_information_score: 1349.9606, mean_absolute_error: 0.2424, 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: 0.4847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7731, kappa: 0.5462, kb_relative_information_score: 1406.7265, mean_absolute_error: 0.2299, 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: 0.4599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1371.3646, mean_absolute_error: 0.2376, 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: 0.4753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1393.0861, mean_absolute_error: 0.2325, 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: 0.465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1346.6227, mean_absolute_error: 0.2429, 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: 0.4857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7527, kappa: 0.5054, kb_relative_information_score: 1252.9047, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7527, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.5246, 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: 0.8379, f_measure: 0.7804, kappa: 0.5608, kb_relative_information_score: 1363.9255, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7804, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.4821, 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: 0.844, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 1351.2217, mean_absolute_error: 0.2446, 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: 0.4892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1374.5977, mean_absolute_error: 0.2371, 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: 0.4741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7715, kappa: 0.5431, kb_relative_information_score: 1380.3407, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7715, predictive_accuracy: 0.7715, prior_entropy: 1, recall: 0.7715, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1253.3843, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7774, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1377.4796, mean_absolute_error: 0.2382, 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: 0.4764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7834, kappa: 0.5669, kb_relative_information_score: 1284.4234, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7836, predictive_accuracy: 0.7835, prior_entropy: 1, recall: 0.7835, relative_absolute_error: 0.5192, 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: 0.8071, f_measure: 0.7596, kappa: 0.5192, kb_relative_information_score: 1346.6459, mean_absolute_error: 0.2414, 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: 0.4828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.8992,

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

OpenML bootcamp

From your own software

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

OpenML APIs