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Function: require_once

OpenML
Task
Supervised Classification on hepatitis

Supervised Classification on hepatitis

Task 54 Supervised Classification hepatitis 834 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_50 under100k under1m
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834 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7872, kappa: 0.3187, kb_relative_information_score: 39.2616, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.781, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.9365, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.8194, kappa: 0.4487, kb_relative_information_score: 55.7274, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8194, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.425, root_relative_squared_error: 1.05, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.8545, kappa: 0.5458, kb_relative_information_score: 76.6803, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8524, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9307, scimark_benchmark: 894.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.8421, kappa: 0.4945, kb_relative_information_score: 55.3531, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.841, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.848, scimark_benchmark: 1280.6952, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.8433, kappa: 0.5163, kb_relative_information_score: 69.696, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8418, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9721, scimark_benchmark: 1250.8301, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 61.1775, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8343, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.8219, scimark_benchmark: 1330.0694, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8429, kappa: 0.5346, kb_relative_information_score: 59.6924, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8491, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9144, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8094, kappa: 0.4085, kb_relative_information_score: 46.3844, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8067, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.97, scimark_benchmark: 1073.494, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7569, kappa: 0.2453, kb_relative_information_score: 30.4493, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.753, predictive_accuracy: 0.7613, prior_entropy: 0.7418, recall: 0.7613, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.441, root_relative_squared_error: 1.0895, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.7734, kappa: 0.2748, kb_relative_information_score: 15.0663, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.766, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.0133, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.7407, kappa: 0.1423, kb_relative_information_score: 9.2971, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7288, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.433, root_relative_squared_error: 1.0698, scimark_benchmark: 1355.7054, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.8365, kappa: 0.4793, kb_relative_information_score: 69.696, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8343, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9721, scimark_benchmark: 1294.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.3061, kappa: 0.0254, kb_relative_information_score: -213.1689, mean_absolute_error: 0.6774, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7163, predictive_accuracy: 0.3226, prior_entropy: 0.7418, recall: 0.3226, relative_absolute_error: 2.0537, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.8231, root_relative_squared_error: 2.0334, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.8254, kappa: 0.436, kb_relative_information_score: 48.1609, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8246, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.9226, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.7872, kappa: 0.3187, kb_relative_information_score: 45.2509, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.781, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1048, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.8341, kappa: 0.4996, kb_relative_information_score: 60.2973, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.0093, scimark_benchmark: 942.1229, usercpu_time_millis: 6060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.7649, kappa: 0.2178, kb_relative_information_score: 45.2509, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.765, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1048, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.7022, kb_relative_information_score: -0.9801, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0004, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.7649, kappa: 0.2744, kb_relative_information_score: 14.6616, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7624, predictive_accuracy: 0.7677, prior_entropy: 0.7418, recall: 0.7677, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.0785, scimark_benchmark: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8412, kappa: 0.5045, kb_relative_information_score: 68.5203, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8388, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.949, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.8175, kappa: 0.4216, kb_relative_information_score: 56.011, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8136, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9634, scimark_benchmark: 945.6434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.804, kappa: 0.3787, kb_relative_information_score: 53.0864, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7993, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9599, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.804, kappa: 0.3787, kb_relative_information_score: 53.0864, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7993, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9599, scimark_benchmark: 939.7623, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.831, kappa: 0.4644, kb_relative_information_score: 61.7452, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.828, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9824, scimark_benchmark: 942.1229, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.8335, kappa: 0.4776, kb_relative_information_score: 61.2806, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8305, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9705, scimark_benchmark: 926.6717, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7734, kappa: 0.2748, kb_relative_information_score: 41.9528, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.766, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.0678, scimark_benchmark: 876.8277, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7957, kappa: 0.3491, kb_relative_information_score: 46.4298, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7903, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4223, root_relative_squared_error: 1.0434, scimark_benchmark: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7597, kappa: 0.2308, kb_relative_information_score: 31.9487, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7511, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4415, root_relative_squared_error: 1.0907, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8256, kappa: 0.4499, kb_relative_information_score: 59.9342, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8222, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.9466, scimark_benchmark: 924.6116, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.8357, kappa: 0.4901, kb_relative_information_score: 50.7768, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8335, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.372, root_relative_squared_error: 0.9191, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, build_cpu_time: 0.0794, build_memory: 725541505.6, f_measure: 0.7437, kappa: 0.2045, kb_relative_information_score: 18.0126, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7396, predictive_accuracy: 0.7484, prior_entropy: 0.7418, recall: 0.7484, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.2212, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, build_cpu_time: 0.0413, build_memory: 346405477.0065, f_measure: 0.7734, kappa: 0.2748, kb_relative_information_score: 33.3333, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.766, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.131, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, build_cpu_time: 0.0133, build_memory: 982183831.4839, f_measure: 0.7853, kappa: 0.323, kb_relative_information_score: 33.7344, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7799, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.45, root_relative_squared_error: 1.1118, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, build_cpu_time: 0.0067, build_memory: 810792604.3871, f_measure: 0.7511, kappa: 0.189, kb_relative_information_score: 32.6194, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.0362, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 0.0033, build_memory: 1652904304, f_measure: 0.7229, kappa: 0.1216, kb_relative_information_score: 9.4366, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7131, predictive_accuracy: 0.7355, prior_entropy: 0.7418, recall: 0.7355, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4556, root_relative_squared_error: 1.1254, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, build_cpu_time: 0.0107, build_memory: 1195738343.7419, f_measure: 0.8229, kappa: 0.4359, kb_relative_information_score: 57.9887, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8196, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.9406, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, build_cpu_time: 0.0131, build_memory: 513661289.9097, f_measure: 0.804, kappa: 0.3787, kb_relative_information_score: 53.0864, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7993, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9599, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, build_cpu_time: 0.0195, build_memory: 877483722.9935, f_measure: 0.804, kappa: 0.3787, kb_relative_information_score: 53.0864, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7993, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9599, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, build_cpu_time: 0.0148, build_memory: 402645980.5935, f_measure: 0.804, kappa: 0.3787, kb_relative_information_score: 53.0864, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7993, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9599, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, build_cpu_time: 0.0158, build_memory: 1568137971.7161, f_measure: 0.804, kappa: 0.3787, kb_relative_information_score: 53.0864, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7993, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9599, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, build_cpu_time: 0.9032, build_memory: 94855327.8968, f_measure: 0.7905, kappa: 0.3359, kb_relative_information_score: 44.8196, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7849, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4094, root_relative_squared_error: 1.0115, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, build_cpu_time: 2.2227, build_memory: 391561150.8645, f_measure: 0.8175, kappa: 0.4216, kb_relative_information_score: 63.1194, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8136, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.9666, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, build_cpu_time: 3.9255, build_memory: 739435484.2323, f_measure: 0.8148, kappa: 0.422, kb_relative_information_score: 59.4071, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8115, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.9921, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 8.4544, build_memory: 501330027.5613, f_measure: 0.8507, kappa: 0.5418, kb_relative_information_score: 71.4276, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8499, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.9327, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, build_cpu_time: 15.7162, build_memory: 37599544.6194, f_measure: 0.8468, kappa: 0.5193, kb_relative_information_score: 71.6186, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8444, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.386, root_relative_squared_error: 0.9536, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, build_cpu_time: 18.2945, build_memory: 100712015.8968, f_measure: 0.8469, kappa: 0.5381, kb_relative_information_score: 69.6956, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8489, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9721, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, build_cpu_time: 9.4468, build_memory: 235545380.5935, f_measure: 0.8268, kappa: 0.4744, kb_relative_information_score: 60.0964, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8279, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4137, root_relative_squared_error: 1.0221, scimark_benchmark: 941.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, build_cpu_time: 4.7349, build_memory: 62643376.2581, f_measure: 0.8341, kappa: 0.4996, kb_relative_information_score: 62.9918, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4075, root_relative_squared_error: 1.0067, scimark_benchmark: 889.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, build_cpu_time: 2.2831, build_memory: 641805425.9613, f_measure: 0.8507, kappa: 0.5418, kb_relative_information_score: 73.1192, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8499, predictive_accuracy: 0.8516, prior_entropy: 0.7418, recall: 0.8516, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.9497, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, build_cpu_time: 1.222, build_memory: 394909803.9226, f_measure: 0.8396, kappa: 0.5134, kb_relative_information_score: 66.4722, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8406, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9749, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, build_cpu_time: 0.1553, build_memory: 1249644360.5161, f_measure: 0.777, kappa: 0.293, kb_relative_information_score: 39.0418, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7706, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.09, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, build_cpu_time: 0.2766, build_memory: 1072258366.6581, f_measure: 0.8202, kappa: 0.4358, kb_relative_information_score: 57.5927, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8167, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.9986, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, build_cpu_time: 0.5618, build_memory: 2606316190.9677, f_measure: 0.8323, kappa: 0.4881, kb_relative_information_score: 59.3824, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8323, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.014, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, build_cpu_time: 1.069, build_memory: 57575086.3484, f_measure: 0.8378, kappa: 0.502, kb_relative_information_score: 65.1039, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8369, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9809, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, build_cpu_time: 1.7137, build_memory: 391378646.1935, f_measure: 0.8396, kappa: 0.5134, kb_relative_information_score: 66.8494, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8406, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9802, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, build_cpu_time: 0.0791, build_memory: 1098952133.8323, f_measure: 0.7872, kappa: 0.3187, kb_relative_information_score: 44.7437, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.781, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0799, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, build_cpu_time: 0.1196, build_memory: 860983624.9806, f_measure: 0.7872, kappa: 0.3187, kb_relative_information_score: 44.7437, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.781, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0799, scimark_benchmark: 920.7965,

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