Task
Supervised Classification on Olivetti_Faces

Supervised Classification on Olivetti_Faces

Task 168299 Supervised Classification Olivetti_Faces 53 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, kappa: 0.4205, kb_relative_information_score: 125.6993, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.435, prior_entropy: 5.3219, recall: 0.435, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, kappa: 0.5897, kb_relative_information_score: 166.347, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.6, prior_entropy: 5.3219, recall: 0.6, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.8866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.6657, kappa: 0.6564, kb_relative_information_score: 301.6166, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0487, number_of_instances: 400, precision: 0.697, predictive_accuracy: 0.665, prior_entropy: 5.3219, recall: 0.665, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.6836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.5816, kappa: 0.5641, kb_relative_information_score: 262.695, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0487, number_of_instances: 400, precision: 0.6594, predictive_accuracy: 0.575, prior_entropy: 5.3219, recall: 0.575, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8019, kappa: 0.7949, kb_relative_information_score: 335.9474, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0487, number_of_instances: 400, precision: 0.8211, predictive_accuracy: 0.8, prior_entropy: 5.3219, recall: 0.8, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.5515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.7603, kappa: 0.7667, kb_relative_information_score: 238.8073, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.0487, number_of_instances: 400, precision: 0.7973, predictive_accuracy: 0.7725, prior_entropy: 5.3219, recall: 0.7725, relative_absolute_error: 0.7187, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.12, root_relative_squared_error: 0.7688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.7384, kappa: 0.7462, kb_relative_information_score: 236.4729, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0487, number_of_instances: 400, precision: 0.773, predictive_accuracy: 0.7525, prior_entropy: 5.3219, recall: 0.7525, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8886, kappa: 0.8872, kb_relative_information_score: 302.9413, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0487, number_of_instances: 400, precision: 0.9047, predictive_accuracy: 0.89, prior_entropy: 5.3219, recall: 0.89, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.6063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9033, kappa: 0.9026, kb_relative_information_score: 303.4269, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.0487, number_of_instances: 400, precision: 0.9104, predictive_accuracy: 0.905, prior_entropy: 5.3219, recall: 0.905, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.4633, kappa: 0.4641, kb_relative_information_score: 237.5073, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0487, number_of_instances: 400, precision: 0.4837, predictive_accuracy: 0.4775, prior_entropy: 5.3219, recall: 0.4775, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, kappa: 0.4359, kb_relative_information_score: 143.6116, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.45, prior_entropy: 5.3219, recall: 0.45, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, kb_relative_information_score: 20.5386, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1778, root_relative_squared_error: 1.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, kb_relative_information_score: 21.5822, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1681, root_relative_squared_error: 1.0769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, kappa: 0.3308, kb_relative_information_score: 122.3118, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.3475, prior_entropy: 5.3219, recall: 0.3475, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.9284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, kappa: 0.0154, kb_relative_information_score: 13.9379, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.04, prior_entropy: 5.3219, recall: 0.04, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.2187, root_relative_squared_error: 1.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, kb_relative_information_score: 7.3233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.2205, root_relative_squared_error: 1.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, kappa: 0.0103, kb_relative_information_score: 11.3508, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.035, prior_entropy: 5.3219, recall: 0.035, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.2195, root_relative_squared_error: 1.4062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kappa: 0.0051, kb_relative_information_score: 9.337, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.03, prior_entropy: 5.3219, recall: 0.03, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.2201, root_relative_squared_error: 1.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, kappa: 0.0128, kb_relative_information_score: 12.3576, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.0375, prior_entropy: 5.3219, recall: 0.0375, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.2193, root_relative_squared_error: 1.4047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, kappa: 0.0077, kb_relative_information_score: 10.3439, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.0325, prior_entropy: 5.3219, recall: 0.0325, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.2198, root_relative_squared_error: 1.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, kappa: 0.0462, kb_relative_information_score: 42.8024, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.07, prior_entropy: 5.3219, recall: 0.07, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1561, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, kappa: 0.0538, kb_relative_information_score: 49.5311, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.0775, prior_entropy: 5.3219, recall: 0.0775, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1591, root_relative_squared_error: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, kappa: 0.1103, kb_relative_information_score: 73.8919, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.1325, prior_entropy: 5.3219, recall: 0.1325, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.158, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, kappa: 0.3, kb_relative_information_score: 155.5534, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.3175, prior_entropy: 5.3219, recall: 0.3175, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, kappa: 0.0333, kb_relative_information_score: 34.5678, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.0575, prior_entropy: 5.3219, recall: 0.0575, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1575, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, kappa: 0.1308, kb_relative_information_score: 86.0614, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.1525, prior_entropy: 5.3219, recall: 0.1525, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1581, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, kappa: 0.1385, kb_relative_information_score: 70.5903, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.16, prior_entropy: 5.3219, recall: 0.16, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.9766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, kappa: 0.1538, kb_relative_information_score: 78.6907, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.175, prior_entropy: 5.3219, recall: 0.175, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, kappa: 0.0795, kb_relative_information_score: 37.751, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.1025, prior_entropy: 5.3219, recall: 0.1025, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, kappa: 0.3128, kb_relative_information_score: 124.8152, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.33, prior_entropy: 5.3219, recall: 0.33, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.9316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, kappa: 0.4077, kb_relative_information_score: 160.1279, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.4225, prior_entropy: 5.3219, recall: 0.4225, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, kappa: 0.4744, kb_relative_information_score: 194.7407, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.4875, prior_entropy: 5.3219, recall: 0.4875, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, kb_relative_information_score: 0.0558, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1561, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, kb_relative_information_score: 0.0514, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1561, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, kb_relative_information_score: 0.0849, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1561, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 0.099, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1561, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 4.3453, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1562, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 4.7897, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1562, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, kb_relative_information_score: 0.1359, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1561, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, kb_relative_information_score: 6.5263, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1562, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, kb_relative_information_score: 5.2199, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1562, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, kb_relative_information_score: 6.0242, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1562, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, kb_relative_information_score: 5.2041, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1562, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, kb_relative_information_score: 6.1397, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1562, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, kb_relative_information_score: 4.5192, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.025, prior_entropy: 5.3219, recall: 0.025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1562, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, kappa: 0.0231, kb_relative_information_score: 20.8709, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.0475, prior_entropy: 5.3219, recall: 0.0475, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.2087, root_relative_squared_error: 1.3368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, kappa: 0.0513, kb_relative_information_score: 35.3913, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.075, prior_entropy: 5.3219, recall: 0.075, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1899, root_relative_squared_error: 1.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, kappa: 0.0308, kb_relative_information_score: 28.2107, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.055, prior_entropy: 5.3219, recall: 0.055, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1978, root_relative_squared_error: 1.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, kappa: 0.1718, kb_relative_information_score: 104.4913, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.1925, prior_entropy: 5.3219, recall: 0.1925, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1724, root_relative_squared_error: 1.1042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, kappa: 0.0103, kb_relative_information_score: 19.9824, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.035, prior_entropy: 5.3219, recall: 0.035, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.2057, root_relative_squared_error: 1.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, kappa: 0.0513, kb_relative_information_score: 45.1261, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.075, prior_entropy: 5.3219, recall: 0.075, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1874, root_relative_squared_error: 1.2001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.339, kappa: 0.2667, kb_relative_information_score: 83.251, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.0487, number_of_instances: 400, precision: 0.6432, predictive_accuracy: 0.285, prior_entropy: 5.3219, recall: 0.285, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, kappa: 0.0026, kb_relative_information_score: 3.3023, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0487, number_of_instances: 400, predictive_accuracy: 0.0275, prior_entropy: 5.3219, recall: 0.0275, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.1561, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.9998,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs