Task
Supervised Classification on desharnais

Supervised Classification on desharnais

Task 4627 Supervised Classification desharnais 180 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, build_cpu_time: 0.0134, build_memory: 239083235.042, f_measure: 0.7095, kappa: 0.4798, kb_relative_information_score: 293.9975, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7088, predictive_accuracy: 0.7148, prior_entropy: 1.3765, recall: 0.7148, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.375, root_relative_squared_error: 0.8624, scimark_benchmark: 948.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, build_cpu_time: 0.0151, build_memory: 164681241.6494, f_measure: 0.7095, kappa: 0.4798, kb_relative_information_score: 293.9975, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7088, predictive_accuracy: 0.7148, prior_entropy: 1.3765, recall: 0.7148, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.375, root_relative_squared_error: 0.8624, scimark_benchmark: 946.1699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.718, kappa: 0.492, kb_relative_information_score: 293.0602, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7212, predictive_accuracy: 0.7247, prior_entropy: 1.3765, recall: 0.7247, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, build_cpu_time: 0.0543, build_memory: 389390166.2716, f_measure: 0.7189, kappa: 0.4939, kb_relative_information_score: 288.6865, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7238, predictive_accuracy: 0.7259, prior_entropy: 1.3765, recall: 0.7259, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.8582, scimark_benchmark: 897.1385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, build_cpu_time: 0.1058, build_memory: 497965407.2593, f_measure: 0.7268, kappa: 0.5077, kb_relative_information_score: 292.9261, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7355, predictive_accuracy: 0.7346, prior_entropy: 1.3765, recall: 0.7346, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.852, scimark_benchmark: 946.3337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, build_cpu_time: 0.3031, build_memory: 2677272337.2938, f_measure: 0.7414, kappa: 0.5348, kb_relative_information_score: 343.3075, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7638, predictive_accuracy: 0.7568, prior_entropy: 1.3765, recall: 0.7568, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.8264, scimark_benchmark: 947.7023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, build_cpu_time: 0.3777, build_memory: 178798614.0543, f_measure: 0.7414, kappa: 0.5348, kb_relative_information_score: 343.3075, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7638, predictive_accuracy: 0.7568, prior_entropy: 1.3765, recall: 0.7568, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.8264, scimark_benchmark: 928.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, build_cpu_time: 0.1497, build_memory: 1689363513.2444, f_measure: 0.7414, kappa: 0.5343, kb_relative_information_score: 342.2047, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7555, predictive_accuracy: 0.7543, prior_entropy: 1.3765, recall: 0.7543, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.36, root_relative_squared_error: 0.8279, scimark_benchmark: 943.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, build_cpu_time: 7.8926, build_memory: 98047400.1185, f_measure: 0.7714, kappa: 0.586, kb_relative_information_score: 328.2881, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7808, predictive_accuracy: 0.7716, prior_entropy: 1.3765, recall: 0.7716, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.8324, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.6289, kappa: 0.3426, kb_relative_information_score: 258.1765, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6246, predictive_accuracy: 0.6346, prior_entropy: 1.3765, recall: 0.6346, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0744, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.4114, kb_relative_information_score: -0.7956, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0014, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.6469, kappa: 0.3707, kb_relative_information_score: 323.646, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6449, predictive_accuracy: 0.6531, prior_entropy: 1.3765, recall: 0.6531, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.1061, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.6399, kappa: 0.3685, kb_relative_information_score: 305.8276, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6234, predictive_accuracy: 0.6654, prior_entropy: 1.3765, recall: 0.6654, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0862, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6399, kappa: 0.362, kb_relative_information_score: 287.6677, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6367, predictive_accuracy: 0.6444, prior_entropy: 1.3765, recall: 0.6444, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4598, root_relative_squared_error: 1.0576, scimark_benchmark: 1337.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.471, kappa: 0.0901, kb_relative_information_score: 186.0254, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.5048, predictive_accuracy: 0.5753, prior_entropy: 1.3765, recall: 0.5753, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.2238, scimark_benchmark: 1072.3689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.6032, kappa: 0.2959, kb_relative_information_score: 251.1874, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.5998, predictive_accuracy: 0.6099, prior_entropy: 1.3765, recall: 0.6099, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.51, root_relative_squared_error: 1.173, scimark_benchmark: 1341.5768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, f_measure: 0.658, kappa: 0.423, kb_relative_information_score: 211.6288, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6409, predictive_accuracy: 0.6988, prior_entropy: 1.3765, recall: 0.6988, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.9273, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6497, kappa: 0.3724, kb_relative_information_score: 212.7835, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6513, predictive_accuracy: 0.6716, prior_entropy: 1.3765, recall: 0.6716, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.964, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.6306, kappa: 0.3517, kb_relative_information_score: 299.7673, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6338, predictive_accuracy: 0.6284, prior_entropy: 1.3765, recall: 0.6284, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.1448, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7565, kappa: 0.5609, kb_relative_information_score: 299.7199, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.775, predictive_accuracy: 0.763, prior_entropy: 1.3765, recall: 0.763, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.8195, scimark_benchmark: 1316.0472, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6145, kappa: 0.3324, kb_relative_information_score: 306.2523, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6171, predictive_accuracy: 0.6136, prior_entropy: 1.3765, recall: 0.6136, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1674, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7216, kappa: 0.4985, kb_relative_information_score: 313.7758, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7294, predictive_accuracy: 0.7222, prior_entropy: 1.3765, recall: 0.7222, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.8714, scimark_benchmark: 1333.5799, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.5913, kappa: 0.2957, kb_relative_information_score: 136.7054, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.5538, predictive_accuracy: 0.6346, prior_entropy: 1.3765, recall: 0.6346, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9851, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 89.1785, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.0222, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.5906, kappa: 0.2927, kb_relative_information_score: 233.9163, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.5654, predictive_accuracy: 0.6247, prior_entropy: 1.3765, recall: 0.6247, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9779, scimark_benchmark: 924.3698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.5954, kappa: 0.2797, kb_relative_information_score: 187.4299, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6058, predictive_accuracy: 0.6235, prior_entropy: 1.3765, recall: 0.6235, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.9671, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 175.4933, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.8966, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 175.4925, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.8966, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 175.4925, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.8966, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 175.4925, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.8966, scimark_benchmark: 1324.8395, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 175.4925, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.8966, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.689, kappa: 0.4442, kb_relative_information_score: 289.3746, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6875, predictive_accuracy: 0.6988, prior_entropy: 1.3765, recall: 0.6988, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9462, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7097, kappa: 0.4792, kb_relative_information_score: 266.0626, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7149, predictive_accuracy: 0.721, prior_entropy: 1.3765, recall: 0.721, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.8558, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7217, kappa: 0.5058, kb_relative_information_score: 264.8775, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7285, predictive_accuracy: 0.7358, prior_entropy: 1.3765, recall: 0.7358, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.8508, scimark_benchmark: 882.7843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7142, kappa: 0.4833, kb_relative_information_score: 379.5593, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.7176, predictive_accuracy: 0.7198, prior_entropy: 1.3765, recall: 0.7198, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.8773, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.6192, kappa: 0.3262, kb_relative_information_score: 163.961, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6454, predictive_accuracy: 0.663, prior_entropy: 1.3765, recall: 0.663, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9069, scimark_benchmark: 938.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6789, kappa: 0.4214, kb_relative_information_score: 276.4266, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.682, predictive_accuracy: 0.6926, prior_entropy: 1.3765, recall: 0.6926, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9164, scimark_benchmark: 935.5075, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.571, kappa: 0.2356, kb_relative_information_score: 152.2864, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.5613, predictive_accuracy: 0.5864, prior_entropy: 1.3765, recall: 0.5864, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4611, root_relative_squared_error: 1.0606, scimark_benchmark: 934.1747,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.4476, kappa: 0.0179, kb_relative_information_score: -63.0736, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.4424, predictive_accuracy: 0.5568, prior_entropy: 1.3765, recall: 0.5568, relative_absolute_error: 1.1415, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.062, scimark_benchmark: 932.0242,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6656, kappa: 0.4188, kb_relative_information_score: 226.0988, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6524, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9281, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6656, kappa: 0.4188, kb_relative_information_score: 226.0988, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6524, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9281, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1352.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6656, kappa: 0.4188, kb_relative_information_score: 226.0988, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6524, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9281, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.6518, kappa: 0.3808, kb_relative_information_score: 286.0181, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6466, predictive_accuracy: 0.6605, prior_entropy: 1.3765, recall: 0.6605, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0418, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6665, kappa: 0.4247, kb_relative_information_score: 221.7485, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6523, predictive_accuracy: 0.6963, prior_entropy: 1.3765, recall: 0.6963, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.9377, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7221, kappa: 0.4977, kb_relative_information_score: 424.2294, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.727, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.9437, scimark_benchmark: 942.9708, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7565, kappa: 0.5609, kb_relative_information_score: 299.7199, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.775, predictive_accuracy: 0.763, prior_entropy: 1.3765, recall: 0.763, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.8195, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6789, kappa: 0.4214, kb_relative_information_score: 276.4266, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.682, predictive_accuracy: 0.6926, prior_entropy: 1.3765, recall: 0.6926, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9164, scimark_benchmark: 1348.7888, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7565, kappa: 0.5609, kb_relative_information_score: 299.7199, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.775, predictive_accuracy: 0.763, prior_entropy: 1.3765, recall: 0.763, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.8195, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6675, kappa: 0.423, kb_relative_information_score: 226.2872, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.6548, predictive_accuracy: 0.6938, prior_entropy: 1.3765, recall: 0.6938, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9301, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 168.1992, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 1350.007, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 168.1992, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 810, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 1336.4694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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