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Function: require_once

OpenML
OpenML
Supervised Classification on sleuth_case1102

Supervised Classification on sleuth_case1102

Task 3701 Supervised Classification sleuth_case1102 500 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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500 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3491, build_cpu_time: 0.0023, build_memory: 984373893.6471, f_measure: 0.356, kappa: -0.2639, kb_relative_information_score: -4.1323, mean_absolute_error: 0.543, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3321, predictive_accuracy: 0.4118, prior_entropy: 0.9911, recall: 0.4118, relative_absolute_error: 1.1005, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1365, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3491, build_cpu_time: 0.0026, build_memory: 478899688, f_measure: 0.356, kappa: -0.2639, kb_relative_information_score: -4.1323, mean_absolute_error: 0.543, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3321, predictive_accuracy: 0.4118, prior_entropy: 0.9911, recall: 0.4118, relative_absolute_error: 1.1005, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1365, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4491, build_cpu_time: 0.0028, build_memory: 1049995144, f_measure: 0.4978, kappa: -0.0212, kb_relative_information_score: -2.5479, mean_absolute_error: 0.5278, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4964, predictive_accuracy: 0.5, prior_entropy: 0.9911, recall: 0.5, relative_absolute_error: 1.0696, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.6802, root_relative_squared_error: 1.3699, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4386, build_cpu_time: 0.0054, build_memory: 371045543.7647, f_measure: 0.5244, kappa: 0.032, kb_relative_information_score: -1.3113, mean_absolute_error: 0.5138, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.5229, predictive_accuracy: 0.5294, prior_entropy: 0.9911, recall: 0.5294, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.6849, root_relative_squared_error: 1.3794, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4088, build_cpu_time: 0.01, build_memory: 587335499.7647, f_measure: 0.4649, kappa: -0.089, kb_relative_information_score: -3.8057, mean_absolute_error: 0.548, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4624, predictive_accuracy: 0.4706, prior_entropy: 0.9911, recall: 0.4706, relative_absolute_error: 1.1105, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7205, root_relative_squared_error: 1.4511, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3947, build_cpu_time: 0.0205, build_memory: 366594393.8824, f_measure: 0.4649, kappa: -0.089, kb_relative_information_score: -5.4815, mean_absolute_error: 0.5734, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4624, predictive_accuracy: 0.4706, prior_entropy: 0.9911, recall: 0.4706, relative_absolute_error: 1.1619, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7383, root_relative_squared_error: 1.487, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4035, build_cpu_time: 0.0323, build_memory: 2995375286.3529, f_measure: 0.4387, kappa: -0.1413, kb_relative_information_score: -6.6381, mean_absolute_error: 0.5895, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.437, predictive_accuracy: 0.4412, prior_entropy: 0.9911, recall: 0.4412, relative_absolute_error: 1.1945, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7443, root_relative_squared_error: 1.499, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3684, build_cpu_time: 0.0122, build_memory: 303869002.5882, f_measure: 0.4055, kappa: -0.21, kb_relative_information_score: -6.4892, mean_absolute_error: 0.5829, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4019, predictive_accuracy: 0.4118, prior_entropy: 0.9911, recall: 0.4118, relative_absolute_error: 1.1812, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7437, root_relative_squared_error: 1.4978, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3684, build_cpu_time: 0.0058, build_memory: 456747765.8824, f_measure: 0.4055, kappa: -0.21, kb_relative_information_score: -6.4892, mean_absolute_error: 0.5829, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4019, predictive_accuracy: 0.4118, prior_entropy: 0.9911, recall: 0.4118, relative_absolute_error: 1.1812, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7437, root_relative_squared_error: 1.4978, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3684, build_cpu_time: 0.0042, build_memory: 58912728.2353, f_measure: 0.4055, kappa: -0.21, kb_relative_information_score: -6.4892, mean_absolute_error: 0.5829, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4019, predictive_accuracy: 0.4118, prior_entropy: 0.9911, recall: 0.4118, relative_absolute_error: 1.1812, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7437, root_relative_squared_error: 1.4978, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3211, build_cpu_time: 0.0211, build_memory: 409699041.4118, f_measure: 0.3706, kappa: -0.2796, kb_relative_information_score: -7.2258, mean_absolute_error: 0.5916, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3643, predictive_accuracy: 0.3824, prior_entropy: 0.9911, recall: 0.3824, relative_absolute_error: 1.1988, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7466, root_relative_squared_error: 1.5036, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4035, build_cpu_time: 0.1294, build_memory: 1772049773.8824, f_measure: 0.4118, kappa: -0.193, kb_relative_information_score: -6.4607, mean_absolute_error: 0.5826, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4118, predictive_accuracy: 0.4118, prior_entropy: 0.9911, recall: 0.4118, relative_absolute_error: 1.1806, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7448, root_relative_squared_error: 1.5001, scimark_benchmark: 942.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2754, build_cpu_time: 0.051, build_memory: 1050622206.1177, f_measure: 0.3706, kappa: -0.2796, kb_relative_information_score: -9.739, mean_absolute_error: 0.6305, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3643, predictive_accuracy: 0.3824, prior_entropy: 0.9911, recall: 0.3824, relative_absolute_error: 1.2777, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7614, root_relative_squared_error: 1.5333, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2368, build_cpu_time: 0.0328, build_memory: 1527555403.5294, f_measure: 0.346, kappa: -0.331, kb_relative_information_score: -10.5006, mean_absolute_error: 0.64, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3413, predictive_accuracy: 0.3529, prior_entropy: 0.9911, recall: 0.3529, relative_absolute_error: 1.297, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7493, root_relative_squared_error: 1.5091, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2509, build_cpu_time: 0.0135, build_memory: 1042355708, f_measure: 0.3706, kappa: -0.2796, kb_relative_information_score: -9.2137, mean_absolute_error: 0.6226, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3643, predictive_accuracy: 0.3824, prior_entropy: 0.9911, recall: 0.3824, relative_absolute_error: 1.2617, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7255, root_relative_squared_error: 1.4611, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, build_cpu_time: 0.0079, build_memory: 368646782.5882, f_measure: 0.531, kappa: 0.0588, kb_relative_information_score: 2.4166, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.5363, predictive_accuracy: 0.5294, prior_entropy: 0.9911, recall: 0.5294, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5771, root_relative_squared_error: 1.1623, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4421, build_cpu_time: 0.0002, build_memory: 980903635.7647, f_measure: 0.3945, kappa: -0.2274, kb_relative_information_score: -1.6629, mean_absolute_error: 0.5129, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3876, predictive_accuracy: 0.4118, prior_entropy: 0.9911, recall: 0.4118, relative_absolute_error: 1.0395, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.0997, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3754, build_cpu_time: 0.0077, build_memory: 1276550231.0588, f_measure: 0.4055, kappa: -0.21, kb_relative_information_score: -3.5935, mean_absolute_error: 0.5356, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4019, predictive_accuracy: 0.4118, prior_entropy: 0.9911, recall: 0.4118, relative_absolute_error: 1.0854, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.1306, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3842, build_cpu_time: 0.0003, build_memory: 1096767224, f_measure: 0.3869, kappa: -0.0584, kb_relative_information_score: -1.3379, mean_absolute_error: 0.5114, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3048, predictive_accuracy: 0.5294, prior_entropy: 0.9911, recall: 0.5294, relative_absolute_error: 1.0363, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.0657, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3684, build_memory: 200072016, f_measure: 0.4055, kappa: -0.21, kb_relative_information_score: -6.4892, mean_absolute_error: 0.5829, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4019, predictive_accuracy: 0.4118, prior_entropy: 0.9911, recall: 0.4118, relative_absolute_error: 1.1812, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7437, root_relative_squared_error: 1.4978, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0033, build_memory: 309310768.4706, f_measure: 0.4007, kb_relative_information_score: 3.4225, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3123, predictive_accuracy: 0.5588, prior_entropy: 0.9911, recall: 0.5588, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.6642, root_relative_squared_error: 1.3377, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3561, build_cpu_time: 0.0129, build_memory: 929698754.8235, f_measure: 0.3565, kappa: -0.2982, kb_relative_information_score: -8.794, mean_absolute_error: 0.6176, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3444, predictive_accuracy: 0.3824, prior_entropy: 0.9911, recall: 0.3824, relative_absolute_error: 1.2517, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.7859, root_relative_squared_error: 1.5828, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3105, build_cpu_time: 0.0021, build_memory: 846389072, f_measure: 0.3205, kappa: -0.3816, kb_relative_information_score: -12.8662, mean_absolute_error: 0.6765, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3181, predictive_accuracy: 0.3235, prior_entropy: 0.9911, recall: 0.3235, relative_absolute_error: 1.3709, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.8225, root_relative_squared_error: 1.6564, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4351, build_cpu_time: 0.0017, build_memory: 11788467.0588, f_measure: 0.4706, kappa: -0.0737, kb_relative_information_score: -2.2608, mean_absolute_error: 0.5232, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4706, predictive_accuracy: 0.4706, prior_entropy: 0.9911, recall: 0.4706, relative_absolute_error: 1.0603, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.6084, root_relative_squared_error: 1.2253, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2491, build_cpu_time: 0.0024, build_memory: 626372643.7647, f_measure: 0.3364, kappa: -0.3173, kb_relative_information_score: -3.7994, mean_absolute_error: 0.5368, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3131, predictive_accuracy: 0.3824, prior_entropy: 0.9911, recall: 0.3824, relative_absolute_error: 1.0878, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5503, root_relative_squared_error: 1.1083, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2491, build_cpu_time: 0.0024, build_memory: 844228756.2353, f_measure: 0.3364, kappa: -0.3173, kb_relative_information_score: -3.7994, mean_absolute_error: 0.5368, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3131, predictive_accuracy: 0.3824, prior_entropy: 0.9911, recall: 0.3824, relative_absolute_error: 1.0878, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5503, root_relative_squared_error: 1.1083, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3825, build_cpu_time: 0.0003, build_memory: 565100856.4706, f_measure: 0.3783, kappa: -0.2454, kb_relative_information_score: -6.7579, mean_absolute_error: 0.5882, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3663, predictive_accuracy: 0.4118, prior_entropy: 0.9911, recall: 0.4118, relative_absolute_error: 1.1921, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.767, root_relative_squared_error: 1.5446, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3895, build_cpu_time: 0.0001, build_memory: 302471166.1176, f_measure: 0.4007, kb_relative_information_score: -0.2156, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3123, predictive_accuracy: 0.5588, prior_entropy: 0.9911, recall: 0.5588, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0046, scimark_benchmark: 949.9767,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, build_cpu_time: 0.0471, build_memory: 645244574.8235, f_measure: 0.4405, kappa: -0.1209, kb_relative_information_score: 0.6012, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4376, predictive_accuracy: 0.4706, prior_entropy: 0.9911, recall: 0.4706, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5685, root_relative_squared_error: 1.145, scimark_benchmark: 936.5169,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3333, build_cpu_time: 2.0132, build_memory: 336858457.8824, f_measure: 0.3945, kappa: -0.2274, kb_relative_information_score: -3.1878, mean_absolute_error: 0.529, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3876, predictive_accuracy: 0.4118, prior_entropy: 0.9911, recall: 0.4118, relative_absolute_error: 1.0719, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1044, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3614, build_cpu_time: 3.8282, build_memory: 1379869934.5882, f_measure: 0.4306, kappa: -0.1577, kb_relative_information_score: -2.8413, mean_absolute_error: 0.5247, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4265, predictive_accuracy: 0.4412, prior_entropy: 0.9911, recall: 0.4412, relative_absolute_error: 1.0634, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5444, root_relative_squared_error: 1.0963, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4246, build_cpu_time: 0.0578, build_memory: 527812548.4706, f_measure: 0.4387, kappa: -0.1413, kb_relative_information_score: -3.2191, mean_absolute_error: 0.5343, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.437, predictive_accuracy: 0.4412, prior_entropy: 0.9911, recall: 0.4412, relative_absolute_error: 1.0827, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3235, scimark_benchmark: 946.2416,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, build_cpu_time: 0.0543, build_memory: 77745241.1765, f_measure: 0.4706, kappa: -0.0737, kb_relative_information_score: -0.3891, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4706, predictive_accuracy: 0.4706, prior_entropy: 0.9911, recall: 0.4706, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.6135, root_relative_squared_error: 1.2355, scimark_benchmark: 942.4851,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2316, build_cpu_time: 0.0338, build_memory: 190628927.5294, f_measure: 0.3565, kappa: -0.2982, kb_relative_information_score: -4.5485, mean_absolute_error: 0.5461, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3444, predictive_accuracy: 0.3824, prior_entropy: 0.9911, recall: 0.3824, relative_absolute_error: 1.1066, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5626, root_relative_squared_error: 1.133, scimark_benchmark: 945.3981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2842, f_measure: 0.2941, kappa: -0.4316, kb_relative_information_score: -14.9023, mean_absolute_error: 0.7059, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.2941, predictive_accuracy: 0.2941, prior_entropy: 0.9911, recall: 0.2941, relative_absolute_error: 1.4305, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.8402, root_relative_squared_error: 1.6921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2842, f_measure: 0.2941, kappa: -0.4316, kb_relative_information_score: -14.9023, mean_absolute_error: 0.7059, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.2941, predictive_accuracy: 0.2941, prior_entropy: 0.9911, recall: 0.2941, relative_absolute_error: 1.4305, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.8402, root_relative_squared_error: 1.6921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2316, build_cpu_time: 0.0831, build_memory: 271439150.5882, f_measure: 0.3162, kappa: -0.37, kb_relative_information_score: -4.4018, mean_absolute_error: 0.544, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.2949, predictive_accuracy: 0.3529, prior_entropy: 0.9911, recall: 0.3529, relative_absolute_error: 1.1024, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5604, root_relative_squared_error: 1.1286, scimark_benchmark: 773.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3439, build_cpu_time: 0.0414, build_memory: 319089191.2941, f_measure: 0.3565, kappa: -0.2982, kb_relative_information_score: -3.7555, mean_absolute_error: 0.536, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.3444, predictive_accuracy: 0.3824, prior_entropy: 0.9911, recall: 0.3824, relative_absolute_error: 1.0862, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1227, scimark_benchmark: 948.9958,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3526, build_cpu_time: 0.0211, build_memory: 794737911.7647, f_measure: 0.4306, kappa: -0.1577, kb_relative_information_score: -3.7309, mean_absolute_error: 0.5371, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4265, predictive_accuracy: 0.4412, prior_entropy: 0.9911, recall: 0.4412, relative_absolute_error: 1.0884, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.1259, scimark_benchmark: 937.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3526, build_cpu_time: 0.0228, build_memory: 1613370434.3529, f_measure: 0.4306, kappa: -0.1577, kb_relative_information_score: -3.7309, mean_absolute_error: 0.5371, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4265, predictive_accuracy: 0.4412, prior_entropy: 0.9911, recall: 0.4412, relative_absolute_error: 1.0884, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.1259, scimark_benchmark: 936.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4053, build_cpu_time: 0.0124, build_memory: 2009890116.2353, f_measure: 0.4649, kappa: -0.089, kb_relative_information_score: -2.5914, mean_absolute_error: 0.5229, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4624, predictive_accuracy: 0.4706, prior_entropy: 0.9911, recall: 0.4706, relative_absolute_error: 1.0597, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1045, scimark_benchmark: 942.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4579, build_cpu_time: 0.0043, build_memory: 2137962168, f_measure: 0.4978, kappa: -0.0212, kb_relative_information_score: -1.5757, mean_absolute_error: 0.5116, mean_prior_absolute_error: 0.4935, number_of_instances: 34, precision: 0.4964, predictive_accuracy: 0.5, prior_entropy: 0.9911, recall: 0.5, relative_absolute_error: 1.0367, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.0898, scimark_benchmark: 893.7806,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs