Task
Supervised Classification on OVA_Uterus

Supervised Classification on OVA_Uterus

Task 3972 Supervised Classification OVA_Uterus 200 runs submitted
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  • mythbusting_1 slow study_123 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.9053, kappa: 0.4804, kb_relative_information_score: -36.7771, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9339, predictive_accuracy: 0.89, prior_entropy: 0.405, recall: 0.89, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3317, root_relative_squared_error: 1.2209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9282, kappa: 0.5058, kb_relative_information_score: 275.7401, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9272, predictive_accuracy: 0.9295, prior_entropy: 0.405, recall: 0.9295, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.9008, kappa: 0.274, kb_relative_information_score: 241.0787, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8948, predictive_accuracy: 0.9094, prior_entropy: 0.405, recall: 0.9094, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.301, root_relative_squared_error: 1.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: -10.5937, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.9053, kappa: 0.4804, kb_relative_information_score: -36.7771, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9339, predictive_accuracy: 0.89, prior_entropy: 0.405, recall: 0.89, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3317, root_relative_squared_error: 1.2209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9282, kappa: 0.5058, kb_relative_information_score: 275.7401, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9272, predictive_accuracy: 0.9295, prior_entropy: 0.405, recall: 0.9295, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.9008, kappa: 0.274, kb_relative_information_score: 241.0787, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8948, predictive_accuracy: 0.9094, prior_entropy: 0.405, recall: 0.9094, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.301, root_relative_squared_error: 1.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: -10.5937, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.9164, kappa: 0.3881, kb_relative_information_score: 167.1841, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9125, predictive_accuracy: 0.9236, prior_entropy: 0.405, recall: 0.9236, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.9181, kappa: 0.4182, kb_relative_information_score: 195.2146, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9151, predictive_accuracy: 0.9223, prior_entropy: 0.405, recall: 0.9223, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9215, kappa: 0.4145, kb_relative_information_score: 79.0288, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9188, predictive_accuracy: 0.9301, prior_entropy: 0.405, recall: 0.9301, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.8217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9259, kappa: 0.4559, kb_relative_information_score: 105.605, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9234, predictive_accuracy: 0.9327, prior_entropy: 0.405, recall: 0.9327, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.9086, kappa: 0.256, kb_relative_information_score: 555.9817, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9299, predictive_accuracy: 0.9314, prior_entropy: 0.405, recall: 0.9314, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9091, kappa: 0.4709, kb_relative_information_score: -20.3337, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9279, predictive_accuracy: 0.8977, prior_entropy: 0.405, recall: 0.8977, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.299, root_relative_squared_error: 1.1006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.9279, kappa: 0.5619, kb_relative_information_score: 402.5498, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9394, predictive_accuracy: 0.921, prior_entropy: 0.405, recall: 0.921, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2806, root_relative_squared_error: 1.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.9165, kappa: 0.4221, kb_relative_information_score: 328.1428, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9149, predictive_accuracy: 0.9184, prior_entropy: 0.405, recall: 0.9184, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2739, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.8926, kappa: 0.1568, kb_relative_information_score: 253.4858, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8835, predictive_accuracy: 0.9126, prior_entropy: 0.405, recall: 0.9126, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.284, root_relative_squared_error: 1.0452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.9004, kappa: 0.3217, kb_relative_information_score: 120.6746, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8999, predictive_accuracy: 0.901, prior_entropy: 0.405, recall: 0.901, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3147, root_relative_squared_error: 1.1582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.9158, kappa: 0.4658, kb_relative_information_score: 49.6327, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9225, predictive_accuracy: 0.9107, prior_entropy: 0.405, recall: 0.9107, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9, kappa: 0.1805, kb_relative_information_score: 80.0009, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9159, predictive_accuracy: 0.9262, prior_entropy: 0.405, recall: 0.9262, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.9131, kappa: 0.4518, kb_relative_information_score: 210.0718, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9206, predictive_accuracy: 0.9074, prior_entropy: 0.405, recall: 0.9074, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.304, root_relative_squared_error: 1.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.9187, kappa: 0.3838, kb_relative_information_score: -178.61, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9167, predictive_accuracy: 0.9295, prior_entropy: 0.405, recall: 0.9295, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: -10.5937, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.9316, kappa: 0.4824, kb_relative_information_score: 685.6476, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9327, predictive_accuracy: 0.9405, prior_entropy: 0.405, recall: 0.9405, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.244, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.869, kappa: 0.1916, kb_relative_information_score: -1867.0376, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8817, predictive_accuracy: 0.8583, prior_entropy: 0.405, recall: 0.8583, relative_absolute_error: 1.3108, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2945, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.8916, kappa: 0.3669, kb_relative_information_score: -203.4903, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.911, predictive_accuracy: 0.8783, prior_entropy: 0.405, recall: 0.8783, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3488, root_relative_squared_error: 1.2839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.886, kappa: 0.0436, kb_relative_information_score: 417.0539, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9278, predictive_accuracy: 0.9217, prior_entropy: 0.405, recall: 0.9217, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2799, root_relative_squared_error: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.9131, kappa: 0.4518, kb_relative_information_score: 213.2931, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9206, predictive_accuracy: 0.9074, prior_entropy: 0.405, recall: 0.9074, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.1198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.8939, kappa: 0.281, kb_relative_information_score: 18.7942, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8939, predictive_accuracy: 0.8939, prior_entropy: 0.405, recall: 0.8939, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3258, root_relative_squared_error: 1.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8965, kappa: 0.4453, kb_relative_information_score: -203.4778, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9299, predictive_accuracy: 0.8783, prior_entropy: 0.405, recall: 0.8783, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3488, root_relative_squared_error: 1.2839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.9174, kappa: 0.5003, kb_relative_information_score: 194.6012, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.93, predictive_accuracy: 0.9094, prior_entropy: 0.405, recall: 0.9094, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.8678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.8813, kb_relative_information_score: -8336.1951, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 3.3252, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.4925, root_relative_squared_error: 1.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: 0.845, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: -10.5937, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.9048, kappa: 0.4786, kb_relative_information_score: -46.039, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9337, predictive_accuracy: 0.8893, prior_entropy: 0.405, recall: 0.8893, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.2245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.8813, kb_relative_information_score: -20.181, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.9031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.918, kappa: 0.393, kb_relative_information_score: 481.8869, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9144, predictive_accuracy: 0.9262, prior_entropy: 0.405, recall: 0.9262, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.9325, kappa: 0.5052, kb_relative_information_score: 538.4311, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9309, predictive_accuracy: 0.9385, prior_entropy: 0.405, recall: 0.9385, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.9203, kappa: 0.4643, kb_relative_information_score: 385.1119, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9209, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2822, root_relative_squared_error: 1.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.9074, kappa: 0.2842, kb_relative_information_score: 97.2591, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9038, predictive_accuracy: 0.9223, prior_entropy: 0.405, recall: 0.9223, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: 2.7185, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.918, kappa: 0.4375, kb_relative_information_score: 349.3626, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.917, predictive_accuracy: 0.9191, prior_entropy: 0.405, recall: 0.9191, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2774, root_relative_squared_error: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9143, kappa: 0.506, kb_relative_information_score: 95.7858, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9343, predictive_accuracy: 0.9029, prior_entropy: 0.405, recall: 0.9029, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2874, root_relative_squared_error: 1.0577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8871, kappa: 0.0561, kb_relative_information_score: -49.0927, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9123, predictive_accuracy: 0.9217, prior_entropy: 0.405, recall: 0.9217, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.915, kappa: 0.4061, kb_relative_information_score: 293.3778, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9127, predictive_accuracy: 0.9178, prior_entropy: 0.405, recall: 0.9178, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.9972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.9405, kappa: 0.5936, kb_relative_information_score: 694.9095, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.94, predictive_accuracy: 0.9411, prior_entropy: 0.405, recall: 0.9411, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.8933,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.8966, kappa: 0.3614, kb_relative_information_score: -148.5473, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9077, predictive_accuracy: 0.888, prior_entropy: 0.405, recall: 0.888, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3252, root_relative_squared_error: 1.1968, scimark_benchmark: 1382.0634, usercpu_time_millis: 547230, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 546990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.8813, kb_relative_information_score: 25.332, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0001, scimark_benchmark: 902.2321, usercpu_time_millis: 1886250, usercpu_time_millis_testing: 390680, usercpu_time_millis_training: 1495570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.891, kappa: 0.4426, kb_relative_information_score: -333.1562, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9335, predictive_accuracy: 0.8693, prior_entropy: 0.405, recall: 0.8693, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3616, root_relative_squared_error: 1.3309, scimark_benchmark: 1342.661, usercpu_time_millis: 19920, usercpu_time_millis_testing: 10560, usercpu_time_millis_training: 9360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.9267, kappa: 0.5206, kb_relative_information_score: 397.3488, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9297, predictive_accuracy: 0.9243, prior_entropy: 0.405, recall: 0.9243, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.8991, scimark_benchmark: 992.3837, usercpu_time_millis: 6729250, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 6729110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.8813, kb_relative_information_score: 26.081, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0002, scimark_benchmark: 1232.1602, usercpu_time_millis: 1732610, usercpu_time_millis_testing: 487460, usercpu_time_millis_training: 1245150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.9131, kappa: 0.4518, kb_relative_information_score: 210.0718, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9206, predictive_accuracy: 0.9074, prior_entropy: 0.405, recall: 0.9074, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.304, root_relative_squared_error: 1.119, scimark_benchmark: 1328.7202, usercpu_time_millis: 109310, usercpu_time_millis_testing: 104470, usercpu_time_millis_training: 4840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9399, kappa: 0.5771, kb_relative_information_score: 718.2523, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9384, predictive_accuracy: 0.9424, prior_entropy: 0.405, recall: 0.9424, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.8092, scimark_benchmark: 1334.1672, usercpu_time_millis: 644530, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 644420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.8969, kappa: 0.3568, kb_relative_information_score: -144.804, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9066, predictive_accuracy: 0.8893, prior_entropy: 0.405, recall: 0.8893, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3254, root_relative_squared_error: 1.1976, scimark_benchmark: 1271.5068, usercpu_time_millis: 772510, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 772170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.9405, kappa: 0.5936, kb_relative_information_score: 694.9095, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.94, predictive_accuracy: 0.9411, prior_entropy: 0.405, recall: 0.9411, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.8933, scimark_benchmark: 1361.2264, usercpu_time_millis: 21670, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 21360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.9424, kappa: 0.6055, kb_relative_information_score: 722.6951, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9418, predictive_accuracy: 0.943, prior_entropy: 0.405, recall: 0.943, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.8784, scimark_benchmark: 1388.6524, usercpu_time_millis: 12590, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 12100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.9424, kappa: 0.6055, kb_relative_information_score: 722.6951, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9418, predictive_accuracy: 0.943, prior_entropy: 0.405, recall: 0.943, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.8784, scimark_benchmark: 1141.5406, usercpu_time_millis: 19510, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 18920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.9322, kappa: 0.5285, kb_relative_information_score: 321.1011, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9307, predictive_accuracy: 0.934, prior_entropy: 0.405, recall: 0.934, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.8146, scimark_benchmark: 1394.7836, usercpu_time_millis: 4183640, usercpu_time_millis_testing: 3470, usercpu_time_millis_training: 4180170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.9037, kappa: 0.4788, kb_relative_information_score: 87.5243, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9348, predictive_accuracy: 0.8874, prior_entropy: 0.405, recall: 0.8874, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.9221, scimark_benchmark: 1210.8768, usercpu_time_millis: 219060, usercpu_time_millis_testing: 219050, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.8984, kappa: 0.3683, kb_relative_information_score: -37.6251, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9085, predictive_accuracy: 0.8906, prior_entropy: 0.405, recall: 0.8906, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3268, root_relative_squared_error: 1.2028, scimark_benchmark: 1134.9835, usercpu_time_millis: 5082590, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5082540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.9361, kappa: 0.5639, kb_relative_information_score: 562.7753, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9356, predictive_accuracy: 0.9366, prior_entropy: 0.405, recall: 0.9366, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8724, scimark_benchmark: 1197.7605, usercpu_time_millis: 5638570, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 5638460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.9108, kappa: 0.3675, kb_relative_information_score: 305.6218, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9074, predictive_accuracy: 0.9152, prior_entropy: 0.405, recall: 0.9152, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2836, root_relative_squared_error: 1.0439, scimark_benchmark: 1384.2358, usercpu_time_millis: 4174680, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4174630,

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