OpenML
Supervised Classification on kc3

Supervised Classification on kc3

Task 3915 Supervised Classification kc3 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, build_cpu_time: 0.247, build_memory: 691483872.821, f_measure: 0.8656, kappa: 0.0364, kb_relative_information_score: 115.4872, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8696, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.0282, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, build_cpu_time: 0.5074, build_memory: 681561029.9913, f_measure: 0.8667, kappa: 0.0414, kb_relative_information_score: 115.0951, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9167, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2977, root_relative_squared_error: 1.0208, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, build_cpu_time: 1.0162, build_memory: 598639011.3886, f_measure: 0.8667, kappa: 0.0414, kb_relative_information_score: 114.3949, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9167, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.5478, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2988, root_relative_squared_error: 1.0245, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, build_cpu_time: 0.9687, build_memory: 1655377302.8297, f_measure: 0.8667, kappa: 0.0414, kb_relative_information_score: 114.3949, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9167, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.5478, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2988, root_relative_squared_error: 1.0245, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, build_cpu_time: 1.9717, build_memory: 727199919.476, f_measure: 0.8667, kappa: 0.0414, kb_relative_information_score: 116.1781, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9167, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2989, root_relative_squared_error: 1.0249, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, build_cpu_time: 3.7363, build_memory: 1571293105.3974, f_measure: 0.8667, kappa: 0.0414, kb_relative_information_score: 116.0537, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9167, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2995, root_relative_squared_error: 1.0268, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, build_cpu_time: 0.8057, build_memory: 851536511.0218, f_measure: 0.8596, kappa: 0.0141, kb_relative_information_score: -59.6049, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8351, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.9303, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, build_cpu_time: 0.6679, build_memory: 442096482.8646, f_measure: 0.8596, kappa: 0.0141, kb_relative_information_score: -59.6049, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8351, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.9303, scimark_benchmark: 938.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, build_cpu_time: 0.4511, build_memory: 328667125.9738, f_measure: 0.8642, kappa: 0.0505, kb_relative_information_score: -54.0313, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.847, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.9284, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, build_cpu_time: 0.2195, build_memory: 2696068091.9651, f_measure: 0.8605, kappa: 0.0372, kb_relative_information_score: -70.7745, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8401, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.935, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, build_cpu_time: 0.1356, build_memory: 998799120.8035, f_measure: 0.8605, kappa: 0.0372, kb_relative_information_score: -68.2554, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8401, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.9419, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, build_cpu_time: 0.1196, build_memory: 950957382.9869, f_measure: 0.8605, kappa: 0.0372, kb_relative_information_score: -68.2554, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8401, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.9419, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, build_cpu_time: 0.0227, build_memory: 2627422494.2533, f_measure: 0.8828, kappa: 0.1913, kb_relative_information_score: -90.9119, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8823, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.9493, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, build_cpu_time: 0.0447, build_memory: 339434184.0524, f_measure: 0.8674, kappa: 0.0806, kb_relative_information_score: -104.5402, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8534, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.9626, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, build_cpu_time: 0.0865, build_memory: 498324576.6288, f_measure: 0.8687, kappa: 0.0857, kb_relative_information_score: -97.9374, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8567, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.275, root_relative_squared_error: 0.9429, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, build_cpu_time: 0.1434, build_memory: 926693094.0961, f_measure: 0.8618, kappa: 0.0415, kb_relative_information_score: -98.904, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.842, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9461, scimark_benchmark: 941.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, build_cpu_time: 0.1576, build_memory: 2953519646.9694, f_measure: 0.8618, kappa: 0.0415, kb_relative_information_score: -98.904, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.842, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9461, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, build_cpu_time: 14.5259, build_memory: 2500673817.2052, f_measure: 0.8687, kappa: 0.0857, kb_relative_information_score: -109.4498, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8567, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.9401, scimark_benchmark: 927.2522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, build_cpu_time: 3.5828, build_memory: 1134484313.048, f_measure: 0.8687, kappa: 0.0857, kb_relative_information_score: -117.3286, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8567, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.94, scimark_benchmark: 937.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, build_cpu_time: 3.5238, build_memory: 983629775.0393, f_measure: 0.8687, kappa: 0.0857, kb_relative_information_score: -117.3286, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8567, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.94, scimark_benchmark: 914.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, build_cpu_time: 1.9047, build_memory: 161894752.7686, f_measure: 0.8687, kappa: 0.0857, kb_relative_information_score: -116.842, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8567, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9399, scimark_benchmark: 940.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, build_cpu_time: 1.0386, build_memory: 2393009462.8472, f_measure: 0.8655, kappa: 0.0552, kb_relative_information_score: -122.2111, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8506, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9352, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, build_cpu_time: 0.0427, build_memory: 460824010.1485, f_measure: 0.8585, kappa: 0.0101, kb_relative_information_score: -4.5733, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8333, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2979, root_relative_squared_error: 1.0213, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, build_cpu_time: 0.0688, build_memory: 411346830.7948, f_measure: 0.8538, kappa: -0.027, kb_relative_information_score: 3.1253, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8197, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2928, root_relative_squared_error: 1.004, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, build_cpu_time: 0.0692, build_memory: 365835566.917, f_measure: 0.8538, kappa: -0.027, kb_relative_information_score: 3.1253, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8197, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2928, root_relative_squared_error: 1.004, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, build_cpu_time: 0.0541, build_memory: 1202968508.5415, f_measure: 0.8538, kappa: -0.027, kb_relative_information_score: 3.1253, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8197, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2928, root_relative_squared_error: 1.004, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, build_cpu_time: 0.5674, build_memory: 230484881.8865, f_measure: 0.8882, kappa: 0.2537, kb_relative_information_score: -11.8101, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.883, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9221, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, build_cpu_time: 0.3693, build_memory: 176262107.2314, f_measure: 0.893, kappa: 0.2751, kb_relative_information_score: -17.1576, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8929, predictive_accuracy: 0.9127, prior_entropy: 0.4551, recall: 0.9127, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9077, scimark_benchmark: 947.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, build_cpu_time: 0.3575, build_memory: 245841398.3231, f_measure: 0.893, kappa: 0.2751, kb_relative_information_score: -17.1576, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8929, predictive_accuracy: 0.9127, prior_entropy: 0.4551, recall: 0.9127, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9077, scimark_benchmark: 933.3421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, build_cpu_time: 0.3162, build_memory: 505250674.655, f_measure: 0.893, kappa: 0.2751, kb_relative_information_score: -17.1576, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8929, predictive_accuracy: 0.9127, prior_entropy: 0.4551, recall: 0.9127, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9077, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, build_cpu_time: 0.4021, build_memory: 939390362.6026, f_measure: 0.8567, kappa: 0.2484, kb_relative_information_score: -140.7121, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8745, predictive_accuracy: 0.8428, prior_entropy: 0.4551, recall: 0.8428, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3824, root_relative_squared_error: 1.3109, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, build_cpu_time: 0.3912, build_memory: 871718757.2052, f_measure: 0.8567, kappa: 0.2484, kb_relative_information_score: -140.7121, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8745, predictive_accuracy: 0.8428, prior_entropy: 0.4551, recall: 0.8428, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3824, root_relative_squared_error: 1.3109, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, build_cpu_time: 0.0419, build_memory: 632101416.3144, f_measure: 0.875, kappa: 0.2264, kb_relative_information_score: 42.9018, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8692, predictive_accuracy: 0.8821, prior_entropy: 0.4551, recall: 0.8821, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.334, root_relative_squared_error: 1.1452, scimark_benchmark: 937.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, build_cpu_time: 0.0412, build_memory: 167782172.6463, f_measure: 0.875, kappa: 0.2264, kb_relative_information_score: 42.9018, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8692, predictive_accuracy: 0.8821, prior_entropy: 0.4551, recall: 0.8821, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.334, root_relative_squared_error: 1.1452, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, build_cpu_time: 0.0422, build_memory: 229372588.6114, f_measure: 0.875, kappa: 0.2264, kb_relative_information_score: 42.9018, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8692, predictive_accuracy: 0.8821, prior_entropy: 0.4551, recall: 0.8821, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.334, root_relative_squared_error: 1.1452, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, build_cpu_time: 332.9021, build_memory: 69601003.476, f_measure: 0.8808, kappa: 0.1964, kb_relative_information_score: -8.3907, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8734, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.9561, scimark_benchmark: 902.1678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, build_cpu_time: 1017.5547, build_memory: 91883992.9258, f_measure: 0.8793, kappa: 0.1903, kb_relative_information_score: -10.0938, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8708, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.9561, scimark_benchmark: 926.0297,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, build_cpu_time: 12.7007, build_memory: 3299303692.4018, f_measure: 0.8988, kappa: 0.334, kb_relative_information_score: -68.0191, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8955, predictive_accuracy: 0.9127, prior_entropy: 0.4551, recall: 0.9127, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9295, scimark_benchmark: 941.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, build_cpu_time: 23.1106, build_memory: 562149023.2664, f_measure: 0.8986, kappa: 0.3232, kb_relative_information_score: -54.8436, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8976, predictive_accuracy: 0.9148, prior_entropy: 0.4551, recall: 0.9148, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.9185, scimark_benchmark: 946.197,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, build_cpu_time: 96.5817, build_memory: 82913160.7511, f_measure: 0.8986, kappa: 0.3232, kb_relative_information_score: -42.1953, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8976, predictive_accuracy: 0.9148, prior_entropy: 0.4551, recall: 0.9148, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.9098, scimark_benchmark: 944.2424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, build_cpu_time: 8.3939, build_memory: 1075744034.917, f_measure: 0.8735, kappa: 0.1675, kb_relative_information_score: 64.8978, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8628, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.125, scimark_benchmark: 946.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, build_cpu_time: 4.7189, build_memory: 982780750.8646, f_measure: 0.872, kappa: 0.1621, kb_relative_information_score: 59.7254, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8612, predictive_accuracy: 0.8886, prior_entropy: 0.4551, recall: 0.8886, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3263, root_relative_squared_error: 1.1187, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, build_cpu_time: 2.6148, build_memory: 1411808653.5546, f_measure: 0.8785, kappa: 0.2008, kb_relative_information_score: 74.1251, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8693, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.0866, scimark_benchmark: 945.6653,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, build_cpu_time: 1.164, build_memory: 105722287.179, f_measure: 0.8698, kappa: 0.1392, kb_relative_information_score: 59.4208, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8577, predictive_accuracy: 0.8886, prior_entropy: 0.4551, recall: 0.8886, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3241, root_relative_squared_error: 1.1112, scimark_benchmark: 936.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, build_cpu_time: 0.6829, build_memory: 52247723.3712, f_measure: 0.8922, kappa: 0.3155, kb_relative_information_score: 98.935, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8865, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3028, root_relative_squared_error: 1.0383, scimark_benchmark: 943.404,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, build_cpu_time: 0.5306, build_memory: 97723550.7424, f_measure: 0.8922, kappa: 0.3155, kb_relative_information_score: 98.935, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8865, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3028, root_relative_squared_error: 1.0383, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, build_cpu_time: 3.8133, build_memory: 1670925172.5066, f_measure: 0.8674, kappa: 0.0806, kb_relative_information_score: -37.0794, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8534, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9363, scimark_benchmark: 940.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, build_cpu_time: 7.0557, build_memory: 187864082.4279, f_measure: 0.8655, kappa: 0.0552, kb_relative_information_score: -38.7408, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8506, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.9355, scimark_benchmark: 808.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, build_cpu_time: 5.755, build_memory: 1100757898.1485, f_measure: 0.8655, kappa: 0.0552, kb_relative_information_score: -38.7408, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8506, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.9355, scimark_benchmark: 943.4157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, build_cpu_time: 1.7324, build_memory: 1002354934.131, f_measure: 0.8861, kappa: 0.2321, kb_relative_information_score: -36.8167, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8813, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9218, scimark_benchmark: 945.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, build_cpu_time: 0.9117, build_memory: 403281488.0175, f_measure: 0.8846, kappa: 0.2255, kb_relative_information_score: -31.5315, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8784, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.9179, scimark_benchmark: 948.5914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 0.5539, build_memory: 3215266476.2271, f_measure: 0.8898, kappa: 0.2607, kb_relative_information_score: -38.2133, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.886, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.9133, scimark_benchmark: 945.0891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, build_cpu_time: 0.217, build_memory: 288199659.9825, f_measure: 0.9021, kappa: 0.3497, kb_relative_information_score: -44.4159, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9014, predictive_accuracy: 0.917, prior_entropy: 0.4551, recall: 0.917, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.9225, scimark_benchmark: 916.9556,

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