Task
Supervised Classification on autoUniv-au6-1000

Supervised Classification on autoUniv-au6-1000

Task 9902 Supervised Classification autoUniv-au6-1000 550 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.201, kappa: 0.0738, kb_relative_information_score: 141.2403, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.193, predictive_accuracy: 0.217, prior_entropy: 2.9228, recall: 0.217, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3411, root_relative_squared_error: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6149, f_measure: 0.1882, kappa: 0.0922, kb_relative_information_score: 108.5656, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1948, predictive_accuracy: 0.271, prior_entropy: 2.9228, recall: 0.271, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.1987, kappa: 0.1058, kb_relative_information_score: 87.2753, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2264, predictive_accuracy: 0.287, prior_entropy: 2.9228, recall: 0.287, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.1693, kappa: 0.0332, kb_relative_information_score: 98.6417, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1699, predictive_accuracy: 0.169, prior_entropy: 2.9228, recall: 0.169, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.1803, kappa: 0.0808, kb_relative_information_score: 87.9182, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2068, predictive_accuracy: 0.27, prior_entropy: 2.9228, recall: 0.27, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.1779, kappa: 0.0779, kb_relative_information_score: 72.6933, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1925, predictive_accuracy: 0.269, prior_entropy: 2.9228, recall: 0.269, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.1406, kappa: 0.0856, kb_relative_information_score: 58.9485, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.095, predictive_accuracy: 0.271, prior_entropy: 2.9228, recall: 0.271, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.1492, kappa: 0.0949, kb_relative_information_score: 68.0884, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1022, predictive_accuracy: 0.286, prior_entropy: 2.9228, recall: 0.286, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.1809, kappa: 0.1253, kb_relative_information_score: 95.1216, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1327, predictive_accuracy: 0.292, prior_entropy: 2.9228, recall: 0.292, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.1686, kappa: 0.0971, kb_relative_information_score: 81.028, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1478, predictive_accuracy: 0.276, prior_entropy: 2.9228, recall: 0.276, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.2165, kappa: 0.1286, kb_relative_information_score: 137.5305, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2036, predictive_accuracy: 0.275, prior_entropy: 2.9228, recall: 0.275, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.1723, kappa: 0.0391, kb_relative_information_score: 116.3173, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1722, predictive_accuracy: 0.173, prior_entropy: 2.9228, recall: 0.173, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.3077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0929, kb_relative_information_score: 125.7455, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 0.8848, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5517, f_measure: 0.1492, kappa: 0.0949, kb_relative_information_score: 68.841, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1022, predictive_accuracy: 0.286, prior_entropy: 2.9228, recall: 0.286, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.1694, kappa: 0.0502, kb_relative_information_score: 139.2856, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1761, predictive_accuracy: 0.234, prior_entropy: 2.9228, recall: 0.234, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3438, root_relative_squared_error: 1.0493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.2203, kappa: 0.1168, kb_relative_information_score: 144.4407, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2078, predictive_accuracy: 0.272, prior_entropy: 2.9228, recall: 0.272, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.2258, kappa: 0.1111, kb_relative_information_score: 156.2176, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2198, predictive_accuracy: 0.263, prior_entropy: 2.9228, recall: 0.263, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.2289, kappa: 0.1078, kb_relative_information_score: 163.0264, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2269, predictive_accuracy: 0.26, prior_entropy: 2.9228, recall: 0.26, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5572, f_measure: 0.1474, kappa: 0.0905, kb_relative_information_score: 68.3152, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1011, predictive_accuracy: 0.283, prior_entropy: 2.9228, recall: 0.283, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.1846, kappa: 0.0457, kb_relative_information_score: 154.4537, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1818, predictive_accuracy: 0.197, prior_entropy: 2.9228, recall: 0.197, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3357, root_relative_squared_error: 1.0245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.209, kappa: 0.0711, kb_relative_information_score: 155.0819, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2106, predictive_accuracy: 0.218, prior_entropy: 2.9228, recall: 0.218, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3442, root_relative_squared_error: 1.0505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.0929, kb_relative_information_score: 69.4938, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.2128, kappa: 0.0857, kb_relative_information_score: 157.8412, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2088, predictive_accuracy: 0.22, prior_entropy: 2.9228, recall: 0.22, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3571, root_relative_squared_error: 1.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.2119, kappa: 0.0764, kb_relative_information_score: 148.87, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2115, predictive_accuracy: 0.225, prior_entropy: 2.9228, recall: 0.225, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3389, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.1364, kappa: -0.0092, kb_relative_information_score: 89.7653, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1353, predictive_accuracy: 0.139, prior_entropy: 2.9228, recall: 0.139, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4031, root_relative_squared_error: 1.2303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.2046, kappa: 0.0745, kb_relative_information_score: 156.3721, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2016, predictive_accuracy: 0.209, prior_entropy: 2.9228, recall: 0.209, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3706, root_relative_squared_error: 1.1311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.1452, kappa: 0.0061, kb_relative_information_score: 74.133, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1459, predictive_accuracy: 0.145, prior_entropy: 2.9228, recall: 0.145, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4623, root_relative_squared_error: 1.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.1724, kappa: 0.0345, kb_relative_information_score: 108.3034, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1679, predictive_accuracy: 0.187, prior_entropy: 2.9228, recall: 0.187, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4508, root_relative_squared_error: 1.3759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.1609, kappa: 0.0243, kb_relative_information_score: 81.4809, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1534, predictive_accuracy: 0.19, prior_entropy: 2.9228, recall: 0.19, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3386, root_relative_squared_error: 1.0335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.2053, kappa: 0.0755, kb_relative_information_score: 153.7034, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2069, predictive_accuracy: 0.205, prior_entropy: 2.9228, recall: 0.205, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.392, root_relative_squared_error: 1.1963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.1811, kappa: 0.0434, kb_relative_information_score: 127.6879, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1763, predictive_accuracy: 0.193, prior_entropy: 2.9228, recall: 0.193, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3694, root_relative_squared_error: 1.1275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.1341, kappa: -0.0107, kb_relative_information_score: 63.4596, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1331, predictive_accuracy: 0.136, prior_entropy: 2.9228, recall: 0.136, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4627, root_relative_squared_error: 1.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.1451, kappa: 0.0264, kb_relative_information_score: 58.7821, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1724, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.1955, kappa: 0.0699, kb_relative_information_score: 135.4638, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.187, predictive_accuracy: 0.213, prior_entropy: 2.9228, recall: 0.213, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3644, root_relative_squared_error: 1.1123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.1575, kappa: 0.0781, kb_relative_information_score: 63.323, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1572, predictive_accuracy: 0.281, prior_entropy: 2.9228, recall: 0.281, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.1445, kappa: 0.0026, kb_relative_information_score: 76.0521, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1433, predictive_accuracy: 0.146, prior_entropy: 2.9228, recall: 0.146, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.1674, kappa: 0.0434, kb_relative_information_score: 114.6823, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1629, predictive_accuracy: 0.184, prior_entropy: 2.9228, recall: 0.184, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3521, root_relative_squared_error: 1.0745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.0929, kb_relative_information_score: 69.293, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3326, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, f_measure: 0.1609, kappa: 0.02, kb_relative_information_score: 81.2625, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1575, predictive_accuracy: 0.187, prior_entropy: 2.9228, recall: 0.187, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.1946, kappa: 0.0647, kb_relative_information_score: 115.5707, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1935, predictive_accuracy: 0.22, prior_entropy: 2.9228, recall: 0.22, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3384, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.2182, kappa: 0.0981, kb_relative_information_score: 148.5965, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2256, predictive_accuracy: 0.262, prior_entropy: 2.9228, recall: 0.262, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3331, root_relative_squared_error: 1.0167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.0929, kb_relative_information_score: 0.4207, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3277, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.1565, kappa: 0.0152, kb_relative_information_score: 78.3576, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1525, predictive_accuracy: 0.184, prior_entropy: 2.9228, recall: 0.184, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3368, root_relative_squared_error: 1.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.1474, kappa: 0.0905, kb_relative_information_score: 67.8702, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1011, predictive_accuracy: 0.283, prior_entropy: 2.9228, recall: 0.283, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4867, f_measure: 0.1426, kappa: 0.0016, kb_relative_information_score: 32.9398, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1513, predictive_accuracy: 0.184, prior_entropy: 2.9228, recall: 0.184, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, f_measure: 0.1963, kappa: 0.0624, kb_relative_information_score: 123.969, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2022, predictive_accuracy: 0.233, prior_entropy: 2.9228, recall: 0.233, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.2175, kappa: 0.085, kb_relative_information_score: 144.6497, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2162, predictive_accuracy: 0.233, prior_entropy: 2.9228, recall: 0.233, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3333, root_relative_squared_error: 1.0173,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, f_measure: 0.1607, kappa: 0.0227, kb_relative_information_score: 77.0417, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1536, predictive_accuracy: 0.184, prior_entropy: 2.9228, recall: 0.184, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3468, root_relative_squared_error: 1.0586,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.1869, kappa: 0.0764, kb_relative_information_score: 151.3616, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.175, predictive_accuracy: 0.234, prior_entropy: 2.9228, recall: 0.234, relative_absolute_error: 0.8918, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4376, root_relative_squared_error: 1.3356,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, f_measure: 0.1609, kappa: 0.0249, kb_relative_information_score: 81.7557, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1533, predictive_accuracy: 0.192, prior_entropy: 2.9228, recall: 0.192, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3386, root_relative_squared_error: 1.0334, scimark_benchmark: 935.6931, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, f_measure: 0.1211, kappa: 0.0048, kb_relative_information_score: 54.3815, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1485, predictive_accuracy: 0.224, prior_entropy: 2.9228, recall: 0.224, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0093, scimark_benchmark: 940.0109, usercpu_time_millis: 1090, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5312, f_measure: 0.1429, kappa: 0.0832, kb_relative_information_score: 60.5207, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0975, predictive_accuracy: 0.276, prior_entropy: 2.9228, recall: 0.276, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9937, scimark_benchmark: 893.6874, usercpu_time_millis: 1030, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.1492, kappa: 0.0949, kb_relative_information_score: 68.0884, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1022, predictive_accuracy: 0.286, prior_entropy: 2.9228, recall: 0.286, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9894, scimark_benchmark: 759.0648, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.1208, kappa: 0.0108, kb_relative_information_score: 42.6204, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.092, predictive_accuracy: 0.216, prior_entropy: 2.9228, recall: 0.216, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3324, root_relative_squared_error: 1.0146, scimark_benchmark: 1011.2006, usercpu_time_millis: 1830, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, f_measure: 0.1689, kappa: 0.0454, kb_relative_information_score: 168.1105, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1682, predictive_accuracy: 0.19, prior_entropy: 2.9228, recall: 0.19, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3835, root_relative_squared_error: 1.1704, scimark_benchmark: 1118.5825, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.1275, kappa: -0.0092, kb_relative_information_score: 105.3406, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1503, predictive_accuracy: 0.145, prior_entropy: 2.9228, recall: 0.145, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.2254, scimark_benchmark: 1144.61, usercpu_time_millis: 810, usercpu_time_millis_testing: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.1908, kappa: 0.0604, kb_relative_information_score: 118.3667, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1861, predictive_accuracy: 0.212, prior_entropy: 2.9228, recall: 0.212, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3382, root_relative_squared_error: 1.0323, scimark_benchmark: 1106.9439, usercpu_time_millis: 160, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.193, kappa: 0.0564, kb_relative_information_score: 157.8279, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1986, predictive_accuracy: 0.2, prior_entropy: 2.9228, recall: 0.2, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3501, root_relative_squared_error: 1.0684, scimark_benchmark: 791.9166, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.191, kappa: 0.0997, kb_relative_information_score: 121.4833, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1839, predictive_accuracy: 0.268, prior_entropy: 2.9228, recall: 0.268, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3288, root_relative_squared_error: 1.0035, scimark_benchmark: 989.2854, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.1013, kappa: 0.0056, kb_relative_information_score: 12.8546, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1034, predictive_accuracy: 0.239, prior_entropy: 2.9228, recall: 0.239, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.0003, scimark_benchmark: 1187.0557, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.1738, kappa: 0.0383, kb_relative_information_score: 131.8386, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1736, predictive_accuracy: 0.174, prior_entropy: 2.9228, recall: 0.174, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3703, root_relative_squared_error: 1.1303, scimark_benchmark: 1038.8061, usercpu_time_millis: 420, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1119, kappa: 0.0077, kb_relative_information_score: 44.6141, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1058, predictive_accuracy: 0.23, prior_entropy: 2.9228, recall: 0.23, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.0003, scimark_benchmark: 758.4397, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.1592, kappa: 0.0221, kb_relative_information_score: 98.8107, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1589, predictive_accuracy: 0.16, prior_entropy: 2.9228, recall: 0.16, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.3562, scimark_benchmark: 1252.2129, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,

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