Task
Supervised Classification on OVA_Kidney

Supervised Classification on OVA_Kidney

Task 3968 Supervised Classification OVA_Kidney 192 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9831, kappa: 0.9397, kb_relative_information_score: 1430.1374, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9831, predictive_accuracy: 0.9832, prior_entropy: 0.6548, recall: 0.9832, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.3467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9838, kappa: 0.9419, kb_relative_information_score: 1434.4656, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.6548, recall: 0.9838, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9685, kappa: 0.8879, kb_relative_information_score: 1330.5878, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9687, predictive_accuracy: 0.9683, prior_entropy: 0.6548, recall: 0.9683, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9727, kappa: 0.902, kb_relative_information_score: 1344.9867, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9726, predictive_accuracy: 0.9728, prior_entropy: 0.6548, recall: 0.9728, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9838, kappa: 0.9419, kb_relative_information_score: 1434.4656, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.6548, recall: 0.9838, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9831, kappa: 0.9397, kb_relative_information_score: 1430.1374, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9831, predictive_accuracy: 0.9832, prior_entropy: 0.6548, recall: 0.9832, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.3467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9727, kappa: 0.902, kb_relative_information_score: 1344.9867, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9726, predictive_accuracy: 0.9728, prior_entropy: 0.6548, recall: 0.9728, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9685, kappa: 0.8879, kb_relative_information_score: 1330.5878, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9687, predictive_accuracy: 0.9683, prior_entropy: 0.6548, recall: 0.9683, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.978, kappa: 0.9211, kb_relative_information_score: 1344.9636, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9779, predictive_accuracy: 0.978, prior_entropy: 0.6548, recall: 0.978, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.3871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9844, kappa: 0.9438, kb_relative_information_score: 1352.2827, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9844, predictive_accuracy: 0.9845, prior_entropy: 0.6548, recall: 0.9845, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.983, kappa: 0.9388, kb_relative_information_score: 1430.1374, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9831, predictive_accuracy: 0.9832, prior_entropy: 0.6548, recall: 0.9832, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.3467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9812, kappa: 0.933, kb_relative_information_score: 1398.965, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9813, predictive_accuracy: 0.9812, prior_entropy: 0.6548, recall: 0.9812, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.3618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9838, kappa: 0.9419, kb_relative_information_score: 1429.7518, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.6548, recall: 0.9838, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.3265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9767, kappa: 0.9168, kb_relative_information_score: 1389.8981, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.6548, recall: 0.9767, relative_absolute_error: 0.0829, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9758, kappa: 0.913, kb_relative_information_score: 1380.4405, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9758, predictive_accuracy: 0.9761, prior_entropy: 0.6548, recall: 0.9761, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.151, root_relative_squared_error: 0.4035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.958, kappa: 0.8499, kb_relative_information_score: 1261.3358, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.958, predictive_accuracy: 0.9579, prior_entropy: 0.6548, recall: 0.9579, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9733, kappa: 0.9042, kb_relative_information_score: 1351.0342, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9732, predictive_accuracy: 0.9735, prior_entropy: 0.6548, recall: 0.9735, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9799, kappa: 0.9278, kb_relative_information_score: 1398.3348, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9798, predictive_accuracy: 0.9799, prior_entropy: 0.6548, recall: 0.9799, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9789, kappa: 0.9234, kb_relative_information_score: 1226.0365, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 0.6548, recall: 0.9793, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.3754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9863, kappa: 0.9509, kb_relative_information_score: 1454.0118, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9863, predictive_accuracy: 0.9864, prior_entropy: 0.6548, recall: 0.9864, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.975, kappa: 0.9096, kb_relative_information_score: 1204.7689, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9752, predictive_accuracy: 0.9754, prior_entropy: 0.6548, recall: 0.9754, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7553, kb_relative_information_score: -0.7115, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.6918, predictive_accuracy: 0.8317, prior_entropy: 0.6548, recall: 0.8317, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.3741, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.9796, kappa: 0.9262, kb_relative_information_score: 1408.4962, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.6548, recall: 0.9799, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.3786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9649, kappa: 0.874, kb_relative_information_score: 1199.0843, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9648, predictive_accuracy: 0.965, prior_entropy: 0.6548, recall: 0.965, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.4312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9729, kappa: 0.9038, kb_relative_information_score: 1289.1241, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9731, predictive_accuracy: 0.9728, prior_entropy: 0.6548, recall: 0.9728, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9534, kappa: 0.8388, kb_relative_information_score: 1222.3816, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9567, predictive_accuracy: 0.9521, prior_entropy: 0.6548, recall: 0.9521, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9838, kappa: 0.9419, kb_relative_information_score: 1434.4656, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.6548, recall: 0.9838, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9811, kappa: 0.9318, kb_relative_information_score: 1415.9978, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9811, predictive_accuracy: 0.9812, prior_entropy: 0.6548, recall: 0.9812, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.3652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9792, kappa: 0.9253, kb_relative_information_score: 1404.1679, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9791, predictive_accuracy: 0.9793, prior_entropy: 0.6548, recall: 0.9793, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9409, kappa: 0.7905, kb_relative_information_score: 1144.4732, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9415, predictive_accuracy: 0.9405, prior_entropy: 0.6548, recall: 0.9405, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.244, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.7553, kb_relative_information_score: 290.5813, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.6918, predictive_accuracy: 0.8317, prior_entropy: 0.6548, recall: 0.8317, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.391, root_relative_squared_error: 1.0452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9812, kappa: 0.933, kb_relative_information_score: 1414.8973, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9813, predictive_accuracy: 0.9812, prior_entropy: 0.6548, recall: 0.9812, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9781, kappa: 0.9221, kb_relative_information_score: 1395.4677, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 0.6548, recall: 0.978, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9824, kappa: 0.9369, kb_relative_information_score: 1402.0401, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9824, predictive_accuracy: 0.9825, prior_entropy: 0.6548, recall: 0.9825, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.131, root_relative_squared_error: 0.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9307, kappa: 0.7352, kb_relative_information_score: -2410.6577, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9401, predictive_accuracy: 0.9366, prior_entropy: 0.6548, recall: 0.9366, relative_absolute_error: 1.762, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.3198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7553, kb_relative_information_score: -0.7115, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.6918, predictive_accuracy: 0.8317, prior_entropy: 0.6548, recall: 0.8317, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.3741, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9792, kappa: 0.9251, kb_relative_information_score: 1404.1679, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9791, predictive_accuracy: 0.9793, prior_entropy: 0.6548, recall: 0.9793, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9705, kappa: 0.8956, kb_relative_information_score: 1266.9113, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.971, predictive_accuracy: 0.9702, prior_entropy: 0.6548, recall: 0.9702, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.4458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9838, kappa: 0.9419, kb_relative_information_score: 1434.4656, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.6548, recall: 0.9838, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9838, kappa: 0.9419, kb_relative_information_score: 1434.4656, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.6548, recall: 0.9838, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.983, kappa: 0.9389, kb_relative_information_score: 1337.2967, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9831, predictive_accuracy: 0.9832, prior_entropy: 0.6548, recall: 0.9832, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.3429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9669, kappa: 0.8812, kb_relative_information_score: 1319.8951, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9668, predictive_accuracy: 0.967, prior_entropy: 0.6548, recall: 0.967, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.9663, kappa: 0.877, kb_relative_information_score: 1231.5257, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9666, predictive_accuracy: 0.967, prior_entropy: 0.6548, recall: 0.967, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.4769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9792, kappa: 0.9253, kb_relative_information_score: 1401.8241, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9791, predictive_accuracy: 0.9793, prior_entropy: 0.6548, recall: 0.9793, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9812, kappa: 0.933, kb_relative_information_score: 1414.8973, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9813, predictive_accuracy: 0.9812, prior_entropy: 0.6548, recall: 0.9812, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3654,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9727, kappa: 0.9023, kb_relative_information_score: 1354.4663, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9727, predictive_accuracy: 0.9728, prior_entropy: 0.6548, recall: 0.9728, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.439, scimark_benchmark: 1139.5872, usercpu_time_millis: 24270, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 24160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9722, kappa: 0.9007, kb_relative_information_score: 1345.5325, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.6548, recall: 0.9722, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.4337, scimark_benchmark: 1279.7243, usercpu_time_millis: 53960, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 53860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9746, kappa: 0.9113, kb_relative_information_score: 1369.542, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9762, predictive_accuracy: 0.9741, prior_entropy: 0.6548, recall: 0.9741, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4301, scimark_benchmark: 978.7238, usercpu_time_millis: 47280, usercpu_time_millis_testing: 10760, usercpu_time_millis_training: 36520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9803, kappa: 0.9284, kb_relative_information_score: 1254.3685, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.6548, recall: 0.9806, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3661, scimark_benchmark: 1191.3521, usercpu_time_millis: 10370, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 10180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9838, kappa: 0.9417, kb_relative_information_score: 1434.4656, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9837, predictive_accuracy: 0.9838, prior_entropy: 0.6548, recall: 0.9838, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.34, scimark_benchmark: 1253.7211, usercpu_time_millis: 31790, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 31350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9712, kappa: 0.8986, kb_relative_information_score: 1337.6584, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.972, predictive_accuracy: 0.9709, prior_entropy: 0.6548, recall: 0.9709, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.4484, scimark_benchmark: 1027.9187, usercpu_time_millis: 1463510, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 1463170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.97, kappa: 0.8941, kb_relative_information_score: 1340.0641, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9707, predictive_accuracy: 0.9696, prior_entropy: 0.6548, recall: 0.9696, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4451, scimark_benchmark: 1398.5586, usercpu_time_millis: 1024090, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 1023680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9786, kappa: 0.9233, kb_relative_information_score: 1347.5935, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 0.6548, recall: 0.9786, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3817, scimark_benchmark: 889.793, usercpu_time_millis: 18940, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 18800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.7553, kb_relative_information_score: -73.5437, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.6918, predictive_accuracy: 0.8317, prior_entropy: 0.6548, recall: 0.8317, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0021, scimark_benchmark: 1183.057, usercpu_time_millis: 1257560, usercpu_time_millis_testing: 283980, usercpu_time_millis_training: 973580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9771, kappa: 0.9197, kb_relative_information_score: 1386.8549, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9783, predictive_accuracy: 0.9767, prior_entropy: 0.6548, recall: 0.9767, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.408, scimark_benchmark: 1318.9544, usercpu_time_millis: 20200, usercpu_time_millis_testing: 10660, usercpu_time_millis_training: 9540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9838, kappa: 0.9417, kb_relative_information_score: 1434.4656, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9837, predictive_accuracy: 0.9838, prior_entropy: 0.6548, recall: 0.9838, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.34, scimark_benchmark: 742.5092, usercpu_time_millis: 39700, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 39070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9792, kappa: 0.9253, kb_relative_information_score: 1401.8241, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9791, predictive_accuracy: 0.9793, prior_entropy: 0.6548, recall: 0.9793, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3844, scimark_benchmark: 1354.4842, usercpu_time_millis: 108210, usercpu_time_millis_testing: 102340, usercpu_time_millis_training: 5870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9857, kappa: 0.9485, kb_relative_information_score: 1446.7061, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9857, predictive_accuracy: 0.9858, prior_entropy: 0.6548, recall: 0.9858, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.3136, scimark_benchmark: 1320.394, usercpu_time_millis: 637370, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 637270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9844, kappa: 0.9442, kb_relative_information_score: 1438.7939, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9844, predictive_accuracy: 0.9845, prior_entropy: 0.6548, recall: 0.9845, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.3331, scimark_benchmark: 1335.9706, usercpu_time_millis: 10660, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 10120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9844, kappa: 0.9442, kb_relative_information_score: 1438.7939, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.9844, predictive_accuracy: 0.9845, prior_entropy: 0.6548, recall: 0.9845, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.3331, scimark_benchmark: 1327.846, usercpu_time_millis: 12120, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 11540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.7553, kb_relative_information_score: -73.5437, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.2802, number_of_instances: 1545, precision: 0.6918, predictive_accuracy: 0.8317, prior_entropy: 0.6548, recall: 0.8317, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.3741, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0021, scimark_benchmark: 1503.5745, usercpu_time_millis: 990400, usercpu_time_millis_testing: 216370, usercpu_time_millis_training: 774030,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs