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: 0.833, f_measure: 0.775, kappa: 0.55, kb_relative_information_score: 1376.0081, mean_absolute_error: 0.238, 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: 0.476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7754, kappa: 0.5508, kb_relative_information_score: 1358.2201, mean_absolute_error: 0.242, 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: 0.484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1348.9684, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1379.6293, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.777, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1261.7922, mean_absolute_error: 0.2647, 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: 0.5293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1302.2218, mean_absolute_error: 0.2553, 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: 0.5106, 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: 0.8275, f_measure: 0.7545, kappa: 0.5092, kb_relative_information_score: 1293.6584, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.755, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7581, kappa: 0.5162, kb_relative_information_score: 1253.5838, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7581, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.5244, 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: 0.8345, f_measure: 0.7754, kappa: 0.5508, kb_relative_information_score: 1357.5962, mean_absolute_error: 0.2421, 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: 0.4841, 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: 0.8397, f_measure: 0.7838, kappa: 0.5677, kb_relative_information_score: 1334.2198, mean_absolute_error: 0.2481, 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: 0.4962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1394.3538, mean_absolute_error: 0.2342, 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: 0.4685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7704, kappa: 0.5408, kb_relative_information_score: 1382.1245, mean_absolute_error: 0.2356, 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: 0.4713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7715, kappa: 0.5431, kb_relative_information_score: 1384.7789, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7717, predictive_accuracy: 0.7715, prior_entropy: 1, recall: 0.7715, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7699, kappa: 0.54, kb_relative_information_score: 1371.2527, mean_absolute_error: 0.238, 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: 0.476, 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: 0.7845, f_measure: 0.7707, kappa: 0.5415, kb_relative_information_score: 1409.3455, mean_absolute_error: 0.2288, 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: 0.4577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7596, kappa: 0.5192, kb_relative_information_score: 1366.6045, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7598, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7873, kappa: 0.5746, kb_relative_information_score: 1349.509, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7873, predictive_accuracy: 0.7873, prior_entropy: 1, recall: 0.7873, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7545, kappa: 0.5092, kb_relative_information_score: 1352.4105, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7552, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1364.5885, mean_absolute_error: 0.2386, 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: 0.4772, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7569, kappa: 0.5138, kb_relative_information_score: 1242.9177, mean_absolute_error: 0.2647, 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: 0.5295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7653, kappa: 0.5308, kb_relative_information_score: 1382.5098, mean_absolute_error: 0.2338, 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: 0.4677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1368.0183, mean_absolute_error: 0.2383, 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: 0.4766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7526, kappa: 0.5054, kb_relative_information_score: 1358.9424, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.753, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7711, kappa: 0.5423, kb_relative_information_score: 1397.2251, mean_absolute_error: 0.232, 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: 0.4641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 1310.9317, mean_absolute_error: 0.2529, 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: 0.5058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7511, kappa: 0.5023, kb_relative_information_score: 1255.2675, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7512, predictive_accuracy: 0.7512, prior_entropy: 1, recall: 0.7512, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1360.5984, mean_absolute_error: 0.2402, 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: 0.4804, 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: 0.7965, f_measure: 0.7704, kappa: 0.5408, kb_relative_information_score: 1380.6228, mean_absolute_error: 0.2353, 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: 0.4707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7708, kappa: 0.5415, kb_relative_information_score: 1411.1423, mean_absolute_error: 0.2288, 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: 0.4576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.457, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7665, kappa: 0.5331, kb_relative_information_score: 1391.2451, mean_absolute_error: 0.2323, 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: 0.4646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.753, kappa: 0.5062, kb_relative_information_score: 1341.719, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7534, predictive_accuracy: 0.7531, prior_entropy: 1, recall: 0.7531, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7665, kappa: 0.5331, kb_relative_information_score: 1387.9955, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7666, predictive_accuracy: 0.7665, prior_entropy: 1, recall: 0.7665, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7873, kappa: 0.5746, kb_relative_information_score: 1351.8473, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7873, predictive_accuracy: 0.7873, prior_entropy: 1, recall: 0.7873, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.408, root_relative_squared_error: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7808, kappa: 0.5615, kb_relative_information_score: 1374.4461, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7808, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7723, kappa: 0.5446, kb_relative_information_score: 1403.3988, mean_absolute_error: 0.2305, 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: 0.461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7808, kappa: 0.5615, kb_relative_information_score: 1312.5641, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7808, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 1360.9668, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7618, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1371.8095, mean_absolute_error: 0.2375, 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: 0.475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.447, root_relative_squared_error: 0.8939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1371.2025, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7693, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1342.4034, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7823, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7661, kappa: 0.5323, kb_relative_information_score: 1335.717, mean_absolute_error: 0.2453, 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: 0.4905, 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: 0.8326, f_measure: 0.7753, kappa: 0.5508, kb_relative_information_score: 1383.0807, mean_absolute_error: 0.2365, 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: 0.4729, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7761, kappa: 0.5523, kb_relative_information_score: 1355.5164, mean_absolute_error: 0.2426, 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: 0.4851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1271.2471, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7845, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.5256, 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: 0.7909, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 1398.9151, mean_absolute_error: 0.2307, 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: 0.4613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9325,
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: 0.8142, f_measure: 0.7627, kappa: 0.5254, kb_relative_information_score: 1355.7693, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7627, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 1249.1808, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7802, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.534, 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: 0.833, f_measure: 0.7785, kappa: 0.5569, kb_relative_information_score: 1304.2348, mean_absolute_error: 0.2542, 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: 0.5084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1356.4566, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7842, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.4865, 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: 0.8018, f_measure: 0.7587, kappa: 0.5177, kb_relative_information_score: 1370.2921, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7593, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7703, kappa: 0.5408, kb_relative_information_score: 1369.5199, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7707, predictive_accuracy: 0.7704, prior_entropy: 1, recall: 0.7704, relative_absolute_error: 0.4772, 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: 0.8347, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1247.7618, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7792, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7581, kappa: 0.5162, kb_relative_information_score: 1240.5594, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7582, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 1361.2793, mean_absolute_error: 0.2391, 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: 0.4781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7575, kappa: 0.5154, kb_relative_information_score: 1220.9774, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7583, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1382.3113, mean_absolute_error: 0.2366, 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: 0.4733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7634, kappa: 0.5269, kb_relative_information_score: 1311.2704, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7636, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.5004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7738, kappa: 0.5477, kb_relative_information_score: 1245.8503, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.774, predictive_accuracy: 0.7738, prior_entropy: 1, recall: 0.7738, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 1340.003, mean_absolute_error: 0.2463, 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: 0.4927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7623, kappa: 0.5246, kb_relative_information_score: 1266.3843, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7623, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7522, kappa: 0.5046, kb_relative_information_score: 1338.243, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7526, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7742, kappa: 0.5485, kb_relative_information_score: 1410.9221, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7742, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7526, kappa: 0.5054, kb_relative_information_score: 1217.2921, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7529, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.5399, 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: 0.8345, f_measure: 0.7745, kappa: 0.5492, kb_relative_information_score: 1383.7015, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.775, predictive_accuracy: 0.7746, prior_entropy: 1, recall: 0.7746, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7758, kappa: 0.5515, kb_relative_information_score: 1410.791, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7758, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.4589, 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: 0.8026, f_measure: 0.7577, kappa: 0.5154, kb_relative_information_score: 1330.4202, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7578, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7519, kappa: 0.5038, kb_relative_information_score: 1251.1737, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7519, predictive_accuracy: 0.7519, prior_entropy: 1, recall: 0.7519, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.765, kappa: 0.53, kb_relative_information_score: 1329.7087, mean_absolute_error: 0.2467, 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: 0.4933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7861, kappa: 0.5723, kb_relative_information_score: 1345.9196, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7862, predictive_accuracy: 0.7862, prior_entropy: 1, recall: 0.7862, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1357.5213, mean_absolute_error: 0.2422, 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: 0.4845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1377.6134, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7697, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.473, 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: 0.82, f_measure: 0.7634, kappa: 0.5269, kb_relative_information_score: 1326.8611, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7636, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1251.8965, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7799, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1330.7663, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7671, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7738, kappa: 0.5477, kb_relative_information_score: 1385.2057, mean_absolute_error: 0.2347, 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: 0.4694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7684, kappa: 0.5369, kb_relative_information_score: 1371.3395, mean_absolute_error: 0.2378, 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: 0.4755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7765, kappa: 0.5531, kb_relative_information_score: 1379.9571, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7767, predictive_accuracy: 0.7765, prior_entropy: 1, recall: 0.7765, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7735, kappa: 0.5469, kb_relative_information_score: 1388.1394, 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: 0.4691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7508, kappa: 0.5015, kb_relative_information_score: 1250.1318, mean_absolute_error: 0.2626, 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: 0.5251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7576, kappa: 0.5154, kb_relative_information_score: 1239.9292, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.758, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.423, root_relative_squared_error: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7612, kappa: 0.5223, kb_relative_information_score: 1264.2848, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7612, predictive_accuracy: 0.7612, prior_entropy: 1, recall: 0.7612, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 1301.6728, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.787, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.5124, 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: 0.8291, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1339.177, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.769, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1287.9963, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7848, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5181, 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: 0.808, f_measure: 0.758, kappa: 0.5162, kb_relative_information_score: 1336.7103, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7585, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.8965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7719, kappa: 0.5438, kb_relative_information_score: 1381.44, mean_absolute_error: 0.2361, 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: 0.4722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 1380.8842, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7615, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9239,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7596, kappa: 0.5192, kb_relative_information_score: 1265.0383, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7598, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.5207, 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: 0.8083, f_measure: 0.7545, kappa: 0.5092, kb_relative_information_score: 1358.8383, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.755, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 1403.8822, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.77, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1387.8426, mean_absolute_error: 0.2338, 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: 0.4677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7712, kappa: 0.5423, kb_relative_information_score: 1410.3987, 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: 0.4712, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7703, kappa: 0.5408, kb_relative_information_score: 1368.2061, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7707, predictive_accuracy: 0.7704, prior_entropy: 1, recall: 0.7704, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7508, kappa: 0.5015, kb_relative_information_score: 1249.8759, mean_absolute_error: 0.2626, 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: 0.5253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1372.0673, mean_absolute_error: 0.2391, 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: 0.4782, 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: 0.84, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1308.0301, mean_absolute_error: 0.2542, 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: 0.5083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7596, kappa: 0.5192, kb_relative_information_score: 1257.3812, mean_absolute_error: 0.2619, 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: 0.5237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 1274.6851, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7616, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8535,

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

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From your own software

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

OpenML APIs