OpenML
Supervised Classification on bodyfat

Supervised Classification on bodyfat

Task 3644 Supervised Classification bodyfat 559 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

559 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, build_cpu_time: 0.1815, build_memory: 896526335.1746, f_measure: 0.9841, kappa: 0.9682, kb_relative_information_score: 234.9406, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9841, predictive_accuracy: 0.9841, prior_entropy: 0.9998, recall: 0.9841, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.2738, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 0.0563, build_memory: 783581284.0635, f_measure: 0.9285, kappa: 0.857, kb_relative_information_score: 217.2039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9302, predictive_accuracy: 0.9286, prior_entropy: 0.9998, recall: 0.9286, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4485, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, build_cpu_time: 0.1022, build_memory: 448886384.8571, f_measure: 0.9364, kappa: 0.8728, kb_relative_information_score: 217.1745, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9392, predictive_accuracy: 0.9365, prior_entropy: 0.9998, recall: 0.9365, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4362, scimark_benchmark: 945.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, build_cpu_time: 0.2373, build_memory: 491823756.9841, f_measure: 0.9363, kappa: 0.8728, kb_relative_information_score: 217.7118, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9404, predictive_accuracy: 0.9365, prior_entropy: 0.9998, recall: 0.9365, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.435, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, build_cpu_time: 0.8338, build_memory: 1593437906.5714, f_measure: 0.9443, kappa: 0.8887, kb_relative_information_score: 218.8326, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9484, predictive_accuracy: 0.9444, prior_entropy: 0.9998, recall: 0.9444, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4275, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 0.1062, build_memory: 3234404625.5873, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 248.036, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.1423, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 0.063, build_memory: 131607445.6825, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 248.1943, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.1381, scimark_benchmark: 947.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 0.032, build_memory: 2424335130.4127, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 248.1446, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0676, root_relative_squared_error: 0.1351, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 0.0179, build_memory: 1383758450.0952, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 247.8457, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.1373, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.0556, build_memory: 360988858.5397, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 223.5694, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.12, root_relative_squared_error: 0.24, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.0823, build_memory: 523429213.3333, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 224.2886, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2324, scimark_benchmark: 945.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 4.8013, build_memory: 3252738488.5079, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 223.3705, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2331, scimark_benchmark: 890.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 2.276, build_memory: 684531313.1111, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 223.4273, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2338, scimark_benchmark: 925.1595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 1.1395, build_memory: 643531589.4921, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 223.203, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2342, scimark_benchmark: 937.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 1.2503, build_memory: 1087070591.1746, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 223.203, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2342, scimark_benchmark: 914.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 1.1509, build_memory: 657978960.1905, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 223.203, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2342, scimark_benchmark: 914.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 1.2004, build_memory: 1923961733.3016, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 223.203, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2342, scimark_benchmark: 916.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.5872, build_memory: 730545993.4286, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 223.0448, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2353, scimark_benchmark: 934.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 0.3653, build_memory: 2209574435.0476, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 222.8646, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2381, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.0086, build_memory: 836747744.3492, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 248.413, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.1491, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.0063, build_memory: 1454830279.7143, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 248.413, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.1491, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.0192, build_memory: 434318357.9683, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 248.5829, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.1475, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.0251, build_memory: 894486415.8413, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 248.7223, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.1455, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.076, build_memory: 502135752.7619, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 248.7102, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.1462, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.0764, build_memory: 491475010.9206, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 248.7102, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.1462, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.1035, build_memory: 643737803.2381, f_measure: 0.9762, kappa: 0.9524, kb_relative_information_score: 220.0851, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 0.9998, recall: 0.9762, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3027, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.102, build_memory: 597425655.5556, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 248.4336, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.1507, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.1626, build_memory: 708028851.2698, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 248.4336, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.1507, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 0.2219, build_memory: 57094222.0317, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 218.6985, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9767, predictive_accuracy: 0.9762, prior_entropy: 0.9998, recall: 0.9762, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3297, scimark_benchmark: 933.3421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, build_cpu_time: 0.1347, build_memory: 904303417.3651, f_measure: 0.7812, kappa: 0.5642, kb_relative_information_score: 147.9426, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7862, predictive_accuracy: 0.7817, prior_entropy: 0.9998, recall: 0.7817, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.843, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, build_cpu_time: 0.1056, build_memory: 211921567.3016, f_measure: 0.9643, kappa: 0.9285, kb_relative_information_score: 233.9923, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9998, recall: 0.9643, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.189, root_relative_squared_error: 0.378, scimark_benchmark: 938.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, build_cpu_time: 0.0927, build_memory: 147811733.5556, f_measure: 0.9643, kappa: 0.9285, kb_relative_information_score: 233.9923, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9998, recall: 0.9643, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.189, root_relative_squared_error: 0.378, scimark_benchmark: 933.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 40.6311, build_memory: 409429047.9048, f_measure: 0.9881, kappa: 0.9762, kb_relative_information_score: 237.3696, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9998, recall: 0.9881, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.2237, scimark_benchmark: 943.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 95.8241, build_memory: 60746254.6667, f_measure: 0.9881, kappa: 0.9762, kb_relative_information_score: 237.4605, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9998, recall: 0.9881, relative_absolute_error: 0.065, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.2228, scimark_benchmark: 933.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.0195, build_memory: 1250314035.8095, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.7736, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.1267, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, build_cpu_time: 1.321, build_memory: 731669069.8095, f_measure: 0.9881, kappa: 0.9762, kb_relative_information_score: 245.0322, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9998, recall: 0.9881, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.2267, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.0108, build_memory: 747731851.3016, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.8873, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0085, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.1263, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, build_cpu_time: 0.9206, build_memory: 75621889.1746, f_measure: 0.9762, kappa: 0.9524, kb_relative_information_score: 240.0284, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 0.9998, recall: 0.9762, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3075, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.0061, build_memory: 65245518.1905, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.8495, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1264, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, build_cpu_time: 0.4144, build_memory: 2300996434.6349, f_measure: 0.9841, kappa: 0.9682, kb_relative_information_score: 243.9964, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9841, predictive_accuracy: 0.9841, prior_entropy: 0.9998, recall: 0.9841, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.126, root_relative_squared_error: 0.252, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.0025, build_memory: 162983620.6667, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.7725, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.1268, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.0022, build_memory: 152956960.9841, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.5246, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.1291, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.4708, build_memory: 559101462.4762, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 218.2419, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2464, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 1.3593, build_memory: 1107903142.3175, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 214.9671, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2665, scimark_benchmark: 1130.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 2.02, build_memory: 462221529.746, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 219.1155, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.2466, scimark_benchmark: 943.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 3.9685, build_memory: 646317350.3175, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 215.8812, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.259, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 7.6979, build_memory: 478412004.4762, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 214.9705, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2605, scimark_benchmark: 942.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, build_cpu_time: 0.011, build_memory: 1893815538.0318, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.1504, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1778, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, build_cpu_time: 0.0121, build_memory: 844391417.3968, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.1504, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1778, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, build_cpu_time: 0.0063, build_memory: 1723638561.6508, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.1504, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1778, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, build_cpu_time: 0.0394, build_memory: 32725661.746, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.1504, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1778, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, build_cpu_time: 0.0065, build_memory: 57458312.5079, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.1504, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1778, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, build_cpu_time: 0.0055, build_memory: 457233841.3333, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.1504, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1778, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.2209, build_memory: 503454962.4127, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.1199, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.097, scimark_benchmark: 934.5065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.4656, build_memory: 30468734, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 248.9147, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.0992, scimark_benchmark: 935.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 0.1856, build_memory: 26837816.1905, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.6512, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.1271, scimark_benchmark: 946.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 0.0727, build_memory: 1528631536.0635, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.8145, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1263, scimark_benchmark: 904.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 0.0293, build_memory: 1215096757.9048, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.7765, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1265, scimark_benchmark: 895.3295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 0.0211, build_memory: 93693492.4762, f_measure: 0.996, kappa: 0.9921, kb_relative_information_score: 249.542, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9961, predictive_accuracy: 0.996, prior_entropy: 0.9998, recall: 0.996, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.1279, scimark_benchmark: 944.0721,

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