OpenML
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 1793 Supervised Classification credit-approval 371 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, build_cpu_time: 0.0006, build_memory: 410036552.8, f_measure: 0.3963, kb_relative_information_score: -0.3963, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, build_cpu_time: 0.0007, build_memory: 224279896, f_measure: 0.3963, kb_relative_information_score: -0.3963, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, build_cpu_time: 0.6825, build_memory: 260181060.8, f_measure: 0.8447, kappa: 0.6869, kb_relative_information_score: 2269.3146, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8465, predictive_accuracy: 0.8443, prior_entropy: 0.9913, recall: 0.8443, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.711, scimark_benchmark: 946.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, build_cpu_time: 0.701, build_memory: 337198231.2, f_measure: 0.8447, kappa: 0.6869, kb_relative_information_score: 2269.3146, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8465, predictive_accuracy: 0.8443, prior_entropy: 0.9913, recall: 0.8443, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.711, scimark_benchmark: 939.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, build_cpu_time: 0.6996, build_memory: 463087017.6, f_measure: 0.8447, kappa: 0.6869, kb_relative_information_score: 2269.3146, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8465, predictive_accuracy: 0.8443, prior_entropy: 0.9913, recall: 0.8443, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.711, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, build_cpu_time: 0.7627, build_memory: 270450381.6, f_measure: 0.8447, kappa: 0.6869, kb_relative_information_score: 2269.3146, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8465, predictive_accuracy: 0.8443, prior_entropy: 0.9913, recall: 0.8443, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.711, scimark_benchmark: 904.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, build_cpu_time: 0.4396, build_memory: 567309613.6, f_measure: 0.8497, kappa: 0.6987, kb_relative_information_score: 2338.7689, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8558, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7162, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, build_cpu_time: 0.4691, build_memory: 950802887.2, f_measure: 0.8497, kappa: 0.6987, kb_relative_information_score: 2338.7689, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8558, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7162, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, build_cpu_time: 0.8502, build_memory: 481745212.8, f_measure: 0.8529, kappa: 0.7049, kb_relative_information_score: 2347.4233, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8585, predictive_accuracy: 0.8525, prior_entropy: 0.9913, recall: 0.8525, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7075, scimark_benchmark: 928.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, build_cpu_time: 1.6483, build_memory: 310033328, f_measure: 0.8526, kappa: 0.704, kb_relative_information_score: 2347.3057, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8574, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7056, scimark_benchmark: 928.0863,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, build_cpu_time: 3.375, build_memory: 356132515.2, f_measure: 0.8538, kappa: 0.7063, kb_relative_information_score: 2345.1154, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8585, predictive_accuracy: 0.8533, prior_entropy: 0.9913, recall: 0.8533, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7053, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, build_cpu_time: 6.5263, build_memory: 223925791.2, f_measure: 0.8491, kappa: 0.6968, kb_relative_information_score: 2342.6921, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8533, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7056, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, build_cpu_time: 0.1474, build_memory: 1125174620.8, f_measure: 0.8526, kappa: 0.7034, kb_relative_information_score: 2056.1133, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8558, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6685, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, build_cpu_time: 0.0866, build_memory: 1644419377.6, f_measure: 0.852, kappa: 0.7024, kb_relative_information_score: 2047.5678, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8555, predictive_accuracy: 0.8516, prior_entropy: 0.9913, recall: 0.8516, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6718, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, build_cpu_time: 0.0254, build_memory: 526802035.2, f_measure: 0.8466, kappa: 0.6895, kb_relative_information_score: 1825.7347, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8466, predictive_accuracy: 0.8467, prior_entropy: 0.9913, recall: 0.8467, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6854, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, build_cpu_time: 0.0458, build_memory: 163959286.4, f_measure: 0.8527, kappa: 0.7016, kb_relative_information_score: 1848.6791, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8526, predictive_accuracy: 0.8528, prior_entropy: 0.9913, recall: 0.8528, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6764, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, build_cpu_time: 0.0757, build_memory: 1444247455.2, f_measure: 0.8573, kappa: 0.7111, kb_relative_information_score: 1855.9952, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8573, predictive_accuracy: 0.8574, prior_entropy: 0.9913, recall: 0.8574, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6713, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, build_cpu_time: 0.1409, build_memory: 2022341832.8, f_measure: 0.8573, kappa: 0.7109, kb_relative_information_score: 1853.193, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8573, predictive_accuracy: 0.8574, prior_entropy: 0.9913, recall: 0.8574, relative_absolute_error: 0.4993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6699, scimark_benchmark: 941.1794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, build_cpu_time: 9.5752, build_memory: 1055719706.4, f_measure: 0.8605, kappa: 0.7174, kb_relative_information_score: 1809.2579, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8604, predictive_accuracy: 0.8606, prior_entropy: 0.9913, recall: 0.8606, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6657, scimark_benchmark: 903.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, build_cpu_time: 5.0358, build_memory: 1960561619.2, f_measure: 0.8608, kappa: 0.718, kb_relative_information_score: 1807.1125, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8608, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6663, scimark_benchmark: 914.0194,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, build_cpu_time: 0.0742, build_memory: 189153460, f_measure: 0.773, kappa: 0.5412, kb_relative_information_score: 1911.7709, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.791, predictive_accuracy: 0.7794, prior_entropy: 0.9913, recall: 0.7794, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8481, scimark_benchmark: 906.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, build_cpu_time: 0.0245, build_memory: 32607345.6, f_measure: 0.7645, kappa: 0.5251, kb_relative_information_score: 1864.8776, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7875, predictive_accuracy: 0.7725, prior_entropy: 0.9913, recall: 0.7725, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8779, scimark_benchmark: 929.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 501.583, build_memory: 424018908.8, f_measure: 0.8499, kappa: 0.6962, kb_relative_information_score: 2176.7659, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.85, predictive_accuracy: 0.8499, prior_entropy: 0.9913, recall: 0.8499, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.6956, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, build_cpu_time: 651.7738, build_memory: 846598913.6, f_measure: 0.8505, kappa: 0.6974, kb_relative_information_score: 2174.1759, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8505, predictive_accuracy: 0.8504, prior_entropy: 0.9913, recall: 0.8504, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6955, scimark_benchmark: 945.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, build_cpu_time: 1.342, build_memory: 25744304, f_measure: 0.8217, kappa: 0.6395, kb_relative_information_score: 2061.7839, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8221, predictive_accuracy: 0.8214, prior_entropy: 0.9913, recall: 0.8214, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7675, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, build_cpu_time: 0.0262, build_memory: 803205941.6, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 2000.2844, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6843, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, build_cpu_time: 1.277, build_memory: 1077072036.8, f_measure: 0.8217, kappa: 0.6395, kb_relative_information_score: 2061.7839, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8221, predictive_accuracy: 0.8214, prior_entropy: 0.9913, recall: 0.8214, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7675, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, build_cpu_time: 0.0139, build_memory: 663370320, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 2000.6227, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6844, scimark_benchmark: 906.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, build_cpu_time: 0.0056, build_memory: 867795988.8, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 1995.0614, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6843, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, build_cpu_time: 1.3721, build_memory: 2738034598.4, f_measure: 0.8335, kappa: 0.6632, kb_relative_information_score: 2283.1357, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8337, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7883, scimark_benchmark: 942.3742,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, build_cpu_time: 0.7803, build_memory: 1920340864.8, f_measure: 0.844, kappa: 0.6847, kb_relative_information_score: 2331.184, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8445, predictive_accuracy: 0.8438, prior_entropy: 0.9913, recall: 0.8438, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7705, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, build_cpu_time: 0.0027, build_memory: 2064623340.8, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 1990.1432, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.685, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, build_cpu_time: 3.795, build_memory: 111451924, f_measure: 0.8472, kappa: 0.6907, kb_relative_information_score: 2145.6101, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8472, predictive_accuracy: 0.8472, prior_entropy: 0.9913, recall: 0.8472, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6845, scimark_benchmark: 1216.8013,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, build_cpu_time: 3.2707, build_memory: 1378681719.2, f_measure: 0.8472, kappa: 0.6907, kb_relative_information_score: 2145.6101, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8472, predictive_accuracy: 0.8472, prior_entropy: 0.9913, recall: 0.8472, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6845, scimark_benchmark: 998.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, build_cpu_time: 7.7998, build_memory: 597054896.8, f_measure: 0.8482, kappa: 0.6931, kb_relative_information_score: 2162.294, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8485, predictive_accuracy: 0.8481, prior_entropy: 0.9913, recall: 0.8481, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6742, scimark_benchmark: 1130.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, build_cpu_time: 7.4943, build_memory: 650224715.2, f_measure: 0.8483, kappa: 0.6931, kb_relative_information_score: 2162.5796, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8485, predictive_accuracy: 0.8481, prior_entropy: 0.9913, recall: 0.8481, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6741, scimark_benchmark: 941.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, build_cpu_time: 13.9501, build_memory: 164137134.4, f_measure: 0.848, kappa: 0.6927, kb_relative_information_score: 2161.1989, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8484, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.333, root_relative_squared_error: 0.67, scimark_benchmark: 943.106,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, build_cpu_time: 2.4433, build_memory: 1226883860, f_measure: 0.8572, kappa: 0.7112, kb_relative_information_score: 2445.8157, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8574, predictive_accuracy: 0.8571, prior_entropy: 0.9913, recall: 0.8571, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7541, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, build_cpu_time: 0.9741, build_memory: 936095182.4, f_measure: 0.8546, kappa: 0.706, kb_relative_information_score: 2428.4817, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8549, predictive_accuracy: 0.8545, prior_entropy: 0.9913, recall: 0.8545, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7576, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, build_cpu_time: 0.5505, build_memory: 119448520, f_measure: 0.8543, kappa: 0.7054, kb_relative_information_score: 2430.2648, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8546, predictive_accuracy: 0.8542, prior_entropy: 0.9913, recall: 0.8542, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7472, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, build_cpu_time: 0.5531, build_memory: 46249102.4, f_measure: 0.8543, kappa: 0.7054, kb_relative_information_score: 2430.2648, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8546, predictive_accuracy: 0.8542, prior_entropy: 0.9913, recall: 0.8542, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7472, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, build_cpu_time: 0.2638, build_memory: 866974873.6, f_measure: 0.8552, kappa: 0.7073, kb_relative_information_score: 2437.7117, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8556, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7399, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, build_cpu_time: 0.8863, build_memory: 901982268.8, f_measure: 0.8651, kappa: 0.7275, kb_relative_information_score: 2134.4875, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8658, predictive_accuracy: 0.8649, prior_entropy: 0.9913, recall: 0.8649, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6306, scimark_benchmark: 937.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, build_cpu_time: 2.0074, build_memory: 356662401.6, f_measure: 0.8645, kappa: 0.7262, kb_relative_information_score: 2134.7036, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8651, predictive_accuracy: 0.8643, prior_entropy: 0.9913, recall: 0.8643, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6299, scimark_benchmark: 944.5495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, build_cpu_time: 1.8121, build_memory: 467318132.8, f_measure: 0.8645, kappa: 0.7262, kb_relative_information_score: 2134.7036, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8651, predictive_accuracy: 0.8643, prior_entropy: 0.9913, recall: 0.8643, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6299, scimark_benchmark: 945.4954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, build_cpu_time: 0.1609, build_memory: 86112175.2, f_measure: 0.8565, kappa: 0.71, kb_relative_information_score: 2171.9133, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8571, predictive_accuracy: 0.8562, prior_entropy: 0.9913, recall: 0.8562, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.645, scimark_benchmark: 940.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, build_cpu_time: 0.12, build_memory: 31117601.6, f_measure: 0.8567, kappa: 0.7103, kb_relative_information_score: 2166.1841, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8571, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6502, scimark_benchmark: 927.1972,

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