OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 146817 Supervised Classification steel-plates-fault 9051 runs submitted
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9051 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.4746, kappa: 0.3488, kb_relative_information_score: 777.0114, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7368, predictive_accuracy: 0.5507, prior_entropy: 2.4138, recall: 0.5507, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.78, kappa: 0.7142, kb_relative_information_score: 1345.0997, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7834, predictive_accuracy: 0.7805, prior_entropy: 2.4138, recall: 0.7805, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.6245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.7324, kappa: 0.6538, kb_relative_information_score: 1265.796, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7354, predictive_accuracy: 0.7342, prior_entropy: 2.4138, recall: 0.7342, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.227, root_relative_squared_error: 0.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.4209, kappa: 0.296, kb_relative_information_score: 688.5096, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7775, predictive_accuracy: 0.5204, prior_entropy: 2.4138, recall: 0.5204, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.1105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7432, kappa: 0.6717, kb_relative_information_score: 1383.6342, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7439, predictive_accuracy: 0.7439, prior_entropy: 2.4138, recall: 0.7439, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.8114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, kappa: 0.0108, kb_relative_information_score: 309.4612, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.3529, prior_entropy: 2.4138, recall: 0.3529, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.43, root_relative_squared_error: 1.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, kappa: 0.2301, kb_relative_information_score: 583.0083, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.4817, prior_entropy: 2.4138, recall: 0.4817, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3848, root_relative_squared_error: 1.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7093, kappa: 0.6239, kb_relative_information_score: 1264.2612, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7599, predictive_accuracy: 0.7202, prior_entropy: 2.4138, recall: 0.7202, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.5122, kappa: 0.3823, kb_relative_information_score: 830.2565, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7175, predictive_accuracy: 0.5698, prior_entropy: 2.4138, recall: 0.5698, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 296.3505, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.3467, prior_entropy: 2.4138, recall: 0.3467, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.432, root_relative_squared_error: 1.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, kappa: 0.1919, kb_relative_information_score: 535.8014, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.4585, prior_entropy: 2.4138, recall: 0.4585, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3933, root_relative_squared_error: 1.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.7821, kappa: 0.7164, kb_relative_information_score: 1335.704, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7859, predictive_accuracy: 0.7821, prior_entropy: 2.4138, recall: 0.7821, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.797, kappa: 0.7364, kb_relative_information_score: 1390.4636, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7996, predictive_accuracy: 0.797, prior_entropy: 2.4138, recall: 0.797, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.7898, kappa: 0.7272, kb_relative_information_score: 1378.399, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7922, predictive_accuracy: 0.7898, prior_entropy: 2.4138, recall: 0.7898, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.6176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.7954, kappa: 0.7346, kb_relative_information_score: 1353.477, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7976, predictive_accuracy: 0.7955, prior_entropy: 2.4138, recall: 0.7955, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.7696, kappa: 0.6995, kb_relative_information_score: 1357.4697, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7739, predictive_accuracy: 0.7692, prior_entropy: 2.4138, recall: 0.7692, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.7788, kappa: 0.7117, kb_relative_information_score: 1303.6232, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7839, predictive_accuracy: 0.779, prior_entropy: 2.4138, recall: 0.779, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.6304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.7686, kappa: 0.6995, kb_relative_information_score: 1281.8842, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.774, predictive_accuracy: 0.7697, prior_entropy: 2.4138, recall: 0.7697, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.6472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.7975, kappa: 0.7367, kb_relative_information_score: 1379.8631, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8006, predictive_accuracy: 0.7975, prior_entropy: 2.4138, recall: 0.7975, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.6068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.7684, kappa: 0.698, kb_relative_information_score: 1266.8177, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7763, predictive_accuracy: 0.7692, prior_entropy: 2.4138, recall: 0.7692, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7697, kappa: 0.7002, kb_relative_information_score: 1293.7948, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7754, predictive_accuracy: 0.7702, prior_entropy: 2.4138, recall: 0.7702, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.6388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.7716, kappa: 0.7015, kb_relative_information_score: 1264.8937, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.779, predictive_accuracy: 0.7718, prior_entropy: 2.4138, recall: 0.7718, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8039, kappa: 0.7455, kb_relative_information_score: 1363.1638, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8069, predictive_accuracy: 0.8042, prior_entropy: 2.4138, recall: 0.8042, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7705, kappa: 0.7015, kb_relative_information_score: 1357.7853, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.774, predictive_accuracy: 0.7707, prior_entropy: 2.4138, recall: 0.7707, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.7742, kappa: 0.7065, kb_relative_information_score: 1311.7053, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.779, predictive_accuracy: 0.7749, prior_entropy: 2.4138, recall: 0.7749, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.6334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.7491, kappa: 0.6731, kb_relative_information_score: 1208.1768, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7592, predictive_accuracy: 0.7506, prior_entropy: 2.4138, recall: 0.7506, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7556, kappa: 0.682, kb_relative_information_score: 1236.9233, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7645, predictive_accuracy: 0.7573, prior_entropy: 2.4138, recall: 0.7573, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.7516, kappa: 0.6774, kb_relative_information_score: 1209.5421, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7608, predictive_accuracy: 0.7537, prior_entropy: 2.4138, recall: 0.7537, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.6739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7796, kappa: 0.7136, kb_relative_information_score: 1339.284, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7831, predictive_accuracy: 0.78, prior_entropy: 2.4138, recall: 0.78, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.7492, kappa: 0.6738, kb_relative_information_score: 1341.2026, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7517, predictive_accuracy: 0.7481, prior_entropy: 2.4138, recall: 0.7481, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.7962, kappa: 0.7353, kb_relative_information_score: 1390.348, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7996, predictive_accuracy: 0.7965, prior_entropy: 2.4138, recall: 0.7965, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.7809, kappa: 0.715, kb_relative_information_score: 1355.5565, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7844, predictive_accuracy: 0.781, prior_entropy: 2.4138, recall: 0.781, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.6154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.7271, kappa: 0.647, kb_relative_information_score: 1102.2194, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7548, predictive_accuracy: 0.7342, prior_entropy: 2.4138, recall: 0.7342, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.7632, kappa: 0.6915, kb_relative_information_score: 1253.0825, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7705, predictive_accuracy: 0.764, prior_entropy: 2.4138, recall: 0.764, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.6526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.7907, kappa: 0.7277, kb_relative_information_score: 1338.0392, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7944, predictive_accuracy: 0.7908, prior_entropy: 2.4138, recall: 0.7908, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.6151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.6886, kappa: 0.5972, kb_relative_information_score: 997.3506, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7383, predictive_accuracy: 0.7007, prior_entropy: 2.4138, recall: 0.7007, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.6895, kappa: 0.5978, kb_relative_information_score: 991.018, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7383, predictive_accuracy: 0.7012, prior_entropy: 2.4138, recall: 0.7012, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.7528, kappa: 0.6784, kb_relative_information_score: 1239.1877, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7609, predictive_accuracy: 0.7543, prior_entropy: 2.4138, recall: 0.7543, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.7562, kappa: 0.6837, kb_relative_information_score: 1377.74, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.758, predictive_accuracy: 0.7553, prior_entropy: 2.4138, recall: 0.7553, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.6942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.675, kappa: 0.5848, kb_relative_information_score: 962.4684, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7461, predictive_accuracy: 0.6935, prior_entropy: 2.4138, recall: 0.6935, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.7405, kappa: 0.6626, kb_relative_information_score: 1137.944, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7593, predictive_accuracy: 0.7445, prior_entropy: 2.4138, recall: 0.7445, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.7433, kappa: 0.6662, kb_relative_information_score: 1169.5747, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7586, predictive_accuracy: 0.7465, prior_entropy: 2.4138, recall: 0.7465, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.6856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8124, kappa: 0.757, kb_relative_information_score: 1423.2826, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8142, predictive_accuracy: 0.8125, prior_entropy: 2.4138, recall: 0.8125, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.7595, kappa: 0.6877, kb_relative_information_score: 1240.5671, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7662, predictive_accuracy: 0.7609, prior_entropy: 2.4138, recall: 0.7609, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.22, root_relative_squared_error: 0.6599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.7507, kappa: 0.6784, kb_relative_information_score: 1331.7394, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7512, predictive_accuracy: 0.7517, prior_entropy: 2.4138, recall: 0.7517, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.6656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.771, kappa: 0.6999, kb_relative_information_score: 1230.9469, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.781, predictive_accuracy: 0.7713, prior_entropy: 2.4138, recall: 0.7713, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.6577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.756, kappa: 0.6844, kb_relative_information_score: 1276.6266, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7601, predictive_accuracy: 0.7579, prior_entropy: 2.4138, recall: 0.7579, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.6571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.7674, kappa: 0.6956, kb_relative_information_score: 1229.5018, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7761, predictive_accuracy: 0.7676, prior_entropy: 2.4138, recall: 0.7676, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.7538, kappa: 0.68, kb_relative_information_score: 1251.8011, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7607, predictive_accuracy: 0.7553, prior_entropy: 2.4138, recall: 0.7553, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.6934, kappa: 0.6039, kb_relative_information_score: 1007.7889, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7398, predictive_accuracy: 0.7053, prior_entropy: 2.4138, recall: 0.7053, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.7403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.7505, kappa: 0.6776, kb_relative_information_score: 1303.2546, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7532, predictive_accuracy: 0.7522, prior_entropy: 2.4138, recall: 0.7522, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.7565, kappa: 0.6834, kb_relative_information_score: 1250.0516, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7641, predictive_accuracy: 0.7579, prior_entropy: 2.4138, recall: 0.7579, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.6586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.7356, kappa: 0.6549, kb_relative_information_score: 1096.3753, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7577, predictive_accuracy: 0.7398, prior_entropy: 2.4138, recall: 0.7398, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.7091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.7687, kappa: 0.697, kb_relative_information_score: 1227.325, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7777, predictive_accuracy: 0.7687, prior_entropy: 2.4138, recall: 0.7687, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.6586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.7787, kappa: 0.7117, kb_relative_information_score: 1308.1665, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7841, predictive_accuracy: 0.779, prior_entropy: 2.4138, recall: 0.779, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.6304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.7903, kappa: 0.7274, kb_relative_information_score: 1394.8968, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7937, predictive_accuracy: 0.7903, prior_entropy: 2.4138, recall: 0.7903, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.205, root_relative_squared_error: 0.6151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7626, kappa: 0.6916, kb_relative_information_score: 1302.468, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7674, predictive_accuracy: 0.7635, prior_entropy: 2.4138, recall: 0.7635, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.7545, kappa: 0.6783, kb_relative_information_score: 1203.6739, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7665, predictive_accuracy: 0.7553, prior_entropy: 2.4138, recall: 0.7553, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.6683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.7638, kappa: 0.6926, kb_relative_information_score: 1248.9158, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7718, predictive_accuracy: 0.7651, prior_entropy: 2.4138, recall: 0.7651, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7592, kappa: 0.6867, kb_relative_information_score: 1239.7117, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7667, predictive_accuracy: 0.7604, prior_entropy: 2.4138, recall: 0.7604, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.7729, kappa: 0.7037, kb_relative_information_score: 1289.5865, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7801, predictive_accuracy: 0.7733, prior_entropy: 2.4138, recall: 0.7733, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.76, kappa: 0.6874, kb_relative_information_score: 1267.9206, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7674, predictive_accuracy: 0.7609, prior_entropy: 2.4138, recall: 0.7609, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.217, root_relative_squared_error: 0.6509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7326, kappa: 0.6541, kb_relative_information_score: 1109.2276, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7579, predictive_accuracy: 0.7388, prior_entropy: 2.4138, recall: 0.7388, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.236, root_relative_squared_error: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7547, kappa: 0.6814, kb_relative_information_score: 1238.1475, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7617, predictive_accuracy: 0.7563, prior_entropy: 2.4138, recall: 0.7563, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.6631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.7375, kappa: 0.6572, kb_relative_information_score: 1128.0827, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7568, predictive_accuracy: 0.7409, prior_entropy: 2.4138, recall: 0.7409, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.6967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.7479, kappa: 0.6719, kb_relative_information_score: 1208.0266, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.757, predictive_accuracy: 0.7496, prior_entropy: 2.4138, recall: 0.7496, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7673, kappa: 0.6983, kb_relative_information_score: 1310.6432, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7714, predictive_accuracy: 0.7687, prior_entropy: 2.4138, recall: 0.7687, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.75, kappa: 0.675, kb_relative_information_score: 1224.4424, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7578, predictive_accuracy: 0.7517, prior_entropy: 2.4138, recall: 0.7517, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.6672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.7503, kappa: 0.6757, kb_relative_information_score: 1229.9411, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7586, predictive_accuracy: 0.7522, prior_entropy: 2.4138, recall: 0.7522, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.6686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7709, kappa: 0.7028, kb_relative_information_score: 1297.5767, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7765, predictive_accuracy: 0.7723, prior_entropy: 2.4138, recall: 0.7723, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.213, root_relative_squared_error: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.766, kappa: 0.6963, kb_relative_information_score: 1286.9603, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.771, predictive_accuracy: 0.7671, prior_entropy: 2.4138, recall: 0.7671, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.6445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.7424, kappa: 0.6639, kb_relative_information_score: 1177.5454, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7554, predictive_accuracy: 0.7445, prior_entropy: 2.4138, recall: 0.7445, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.6856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.6951, kappa: 0.6065, kb_relative_information_score: 1016.0982, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.748, predictive_accuracy: 0.7074, prior_entropy: 2.4138, recall: 0.7074, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.7388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.756, kappa: 0.6826, kb_relative_information_score: 1251.3798, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7634, predictive_accuracy: 0.7573, prior_entropy: 2.4138, recall: 0.7573, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.7956, kappa: 0.7337, kb_relative_information_score: 1368.4865, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7997, predictive_accuracy: 0.7955, prior_entropy: 2.4138, recall: 0.7955, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.203, root_relative_squared_error: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.7788, kappa: 0.7115, kb_relative_information_score: 1310.7184, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7848, predictive_accuracy: 0.779, prior_entropy: 2.4138, recall: 0.779, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.6288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7549, kappa: 0.6816, kb_relative_information_score: 1251.7779, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7616, predictive_accuracy: 0.7563, prior_entropy: 2.4138, recall: 0.7563, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.7881, kappa: 0.7243, kb_relative_information_score: 1349.1313, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7921, predictive_accuracy: 0.7883, prior_entropy: 2.4138, recall: 0.7883, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.6173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.7322, kappa: 0.6535, kb_relative_information_score: 1279.4861, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7341, predictive_accuracy: 0.7336, prior_entropy: 2.4138, recall: 0.7336, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.7632, kappa: 0.6917, kb_relative_information_score: 1290.4341, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7696, predictive_accuracy: 0.764, prior_entropy: 2.4138, recall: 0.764, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.7954, kappa: 0.7346, kb_relative_information_score: 1378.0881, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7985, predictive_accuracy: 0.796, prior_entropy: 2.4138, recall: 0.796, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.6057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.7607, kappa: 0.689, kb_relative_information_score: 1255.7044, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7679, predictive_accuracy: 0.762, prior_entropy: 2.4138, recall: 0.762, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.7605, kappa: 0.6891, kb_relative_information_score: 1275.4984, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7665, predictive_accuracy: 0.762, prior_entropy: 2.4138, recall: 0.762, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.6499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.7526, kappa: 0.677, kb_relative_information_score: 1211.1646, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7639, predictive_accuracy: 0.7543, prior_entropy: 2.4138, recall: 0.7543, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.6673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.7876, kappa: 0.7231, kb_relative_information_score: 1331.6561, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7926, predictive_accuracy: 0.7877, prior_entropy: 2.4138, recall: 0.7877, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.7395, kappa: 0.6601, kb_relative_information_score: 1163.0353, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7541, predictive_accuracy: 0.7419, prior_entropy: 2.4138, recall: 0.7419, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.6889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.7846, kappa: 0.7201, kb_relative_information_score: 1359.3213, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7877, predictive_accuracy: 0.7846, prior_entropy: 2.4138, recall: 0.7846, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.77, kappa: 0.7014, kb_relative_information_score: 1309.9709, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7743, predictive_accuracy: 0.7707, prior_entropy: 2.4138, recall: 0.7707, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.758, kappa: 0.6866, kb_relative_information_score: 1277.045, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7634, predictive_accuracy: 0.7599, prior_entropy: 2.4138, recall: 0.7599, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.6505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.7399, kappa: 0.6597, kb_relative_information_score: 1108.6309, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.76, predictive_accuracy: 0.7429, prior_entropy: 2.4138, recall: 0.7429, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.7025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7658, kappa: 0.6959, kb_relative_information_score: 1281.3092, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7719, predictive_accuracy: 0.7671, prior_entropy: 2.4138, recall: 0.7671, relative_absolute_error: 0.4629, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.7376, kappa: 0.6589, kb_relative_information_score: 1328.8127, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7403, predictive_accuracy: 0.7367, prior_entropy: 2.4138, recall: 0.7367, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.7435, kappa: 0.6656, kb_relative_information_score: 1150.9257, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7606, predictive_accuracy: 0.7465, prior_entropy: 2.4138, recall: 0.7465, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.6921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.7082, kappa: 0.621, kb_relative_information_score: 1029.8588, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7508, predictive_accuracy: 0.7172, prior_entropy: 2.4138, recall: 0.7172, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.7564, kappa: 0.6849, kb_relative_information_score: 1300.5919, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7594, predictive_accuracy: 0.7579, prior_entropy: 2.4138, recall: 0.7579, relative_absolute_error: 0.4461, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.218, root_relative_squared_error: 0.6538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.7721, kappa: 0.7042, kb_relative_information_score: 1307.8271, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7761, predictive_accuracy: 0.7728, prior_entropy: 2.4138, recall: 0.7728, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.7221, kappa: 0.6384, kb_relative_information_score: 1089.3009, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7493, predictive_accuracy: 0.728, prior_entropy: 2.4138, recall: 0.728, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.7116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.7491, kappa: 0.6749, kb_relative_information_score: 1262.9065, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7555, predictive_accuracy: 0.7512, prior_entropy: 2.4138, recall: 0.7512, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.7638, kappa: 0.6903, kb_relative_information_score: 1183.4025, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7765, predictive_accuracy: 0.7646, prior_entropy: 2.4138, recall: 0.7646, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.6751,

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