Task
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14399 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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14399 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 365.1499, build_memory: 2027852102.5164, f_measure: 0.9141, kappa: 0.9108, kb_relative_information_score: 7058.6273, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9143, predictive_accuracy: 0.9142, prior_entropy: 4.7004, recall: 0.9142, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.3871, scimark_benchmark: 891.1184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 775.7671, build_memory: 4248320688.2073, f_measure: 0.916, kappa: 0.9128, kb_relative_information_score: 7065.5367, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9163, predictive_accuracy: 0.9161, prior_entropy: 4.7004, recall: 0.9161, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.381, scimark_benchmark: 944.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 3012.058, build_memory: 2140366096.9727, f_measure: 0.9196, kappa: 0.9165, kb_relative_information_score: 7076.0135, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9198, predictive_accuracy: 0.9197, prior_entropy: 4.7004, recall: 0.9197, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.3757, scimark_benchmark: 938.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 4708.7151, build_memory: 1364280420.6213, f_measure: 0.9196, kappa: 0.9165, kb_relative_information_score: 7076.0135, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9198, predictive_accuracy: 0.9197, prior_entropy: 4.7004, recall: 0.9197, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.3757, scimark_benchmark: 951.5659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 27315.682, build_memory: 542928394.2932, f_measure: 0.9654, kappa: 0.964, kb_relative_information_score: 7563.8174, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9655, predictive_accuracy: 0.9654, prior_entropy: 4.7004, recall: 0.9654, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0451, root_relative_squared_error: 0.2348, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, build_cpu_time: 0.0168, build_memory: 588086266.954, f_measure: 0.6462, kappa: 0.6779, kb_relative_information_score: 2507.4422, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7447, predictive_accuracy: 0.6903, prior_entropy: 4.7004, recall: 0.6903, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.944, scimark_benchmark: 1228.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, build_cpu_time: 0.0333, build_memory: 758871980.2919, f_measure: 0.6654, kappa: 0.6928, kb_relative_information_score: 2505.6339, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7616, predictive_accuracy: 0.7046, prior_entropy: 4.7004, recall: 0.7046, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.9441, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 91876.4002, build_memory: 603830051.2105, f_measure: 0.9658, kappa: 0.9644, kb_relative_information_score: 7567.7168, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9659, predictive_accuracy: 0.9658, prior_entropy: 4.7004, recall: 0.9658, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.2323, scimark_benchmark: 944.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, build_cpu_time: 222.4275, build_memory: 1246490022.5789, f_measure: 0.8536, kappa: 0.8486, kb_relative_information_score: 6857.0972, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8637, predictive_accuracy: 0.8544, prior_entropy: 4.7004, recall: 0.8544, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.4931, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, build_cpu_time: 57.4719, build_memory: 406119375.8481, f_measure: 0.1646, kappa: 0.1443, kb_relative_information_score: 2094.2127, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.1635, predictive_accuracy: 0.1772, prior_entropy: 4.7004, recall: 0.1772, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.9744, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, build_cpu_time: 58.5727, build_memory: 1110693886.5348, f_measure: 0.1646, kappa: 0.1443, kb_relative_information_score: 2094.2127, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.1635, predictive_accuracy: 0.1772, prior_entropy: 4.7004, recall: 0.1772, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.9744, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 770.5031, build_memory: 1293510943.486, f_measure: 0.9455, kappa: 0.9434, kb_relative_information_score: 7078.0914, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9456, predictive_accuracy: 0.9456, prior_entropy: 4.7004, recall: 0.9456, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.3616, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, build_cpu_time: 14.2014, build_memory: 728455920.5233, f_measure: 0.1485, kappa: 0.1237, kb_relative_information_score: 2074.2697, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.1508, predictive_accuracy: 0.1574, prior_entropy: 4.7004, recall: 0.1574, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1934, root_relative_squared_error: 1.0059, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 1364.4726, build_memory: 1390027959.8338, f_measure: 0.9512, kappa: 0.9493, kb_relative_information_score: 7092.8417, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9514, predictive_accuracy: 0.9513, prior_entropy: 4.7004, recall: 0.9513, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.3519, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 191.1249, build_memory: 2746228661.5509, f_measure: 0.9405, kappa: 0.9381, kb_relative_information_score: 6462.7572, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9412, predictive_accuracy: 0.9405, prior_entropy: 4.7004, recall: 0.9405, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.4861, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 2678.3567, build_memory: 1667818171.0853, f_measure: 0.9541, kappa: 0.9522, kb_relative_information_score: 7102.1412, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.9541, prior_entropy: 4.7004, recall: 0.9541, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.3456, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 3017.2761, build_memory: 1971816318.5523, f_measure: 0.9541, kappa: 0.9522, kb_relative_information_score: 7102.1412, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9542, predictive_accuracy: 0.9541, prior_entropy: 4.7004, recall: 0.9541, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.3456, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 20.0159, build_memory: 647043765.1148, f_measure: 0.9381, kappa: 0.9357, kb_relative_information_score: 6548.941, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9389, predictive_accuracy: 0.9382, prior_entropy: 4.7004, recall: 0.9382, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.4717, scimark_benchmark: 941.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 9.3919, build_memory: 406631937.9741, f_measure: 0.9329, kappa: 0.9302, kb_relative_information_score: 6536.3047, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.934, predictive_accuracy: 0.9329, prior_entropy: 4.7004, recall: 0.9329, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.4787, scimark_benchmark: 943.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 122.9746, build_memory: 935416130.9375, f_measure: 0.8999, kappa: 0.8958, kb_relative_information_score: 6874.7035, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9007, predictive_accuracy: 0.8998, prior_entropy: 4.7004, recall: 0.8998, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.4223, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 269.8754, build_memory: 2772802672.3181, f_measure: 0.9031, kappa: 0.8992, kb_relative_information_score: 6878.8215, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9039, predictive_accuracy: 0.903, prior_entropy: 4.7004, recall: 0.903, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.4183, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 493.8553, build_memory: 401212553.8766, f_measure: 0.9037, kappa: 0.8998, kb_relative_information_score: 6882.8221, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9047, predictive_accuracy: 0.9037, prior_entropy: 4.7004, recall: 0.9037, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.4155, scimark_benchmark: 947.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 968.1611, build_memory: 1111383485.6309, f_measure: 0.9046, kappa: 0.9008, kb_relative_information_score: 6886.3381, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9054, predictive_accuracy: 0.9046, prior_entropy: 4.7004, recall: 0.9046, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.4142, scimark_benchmark: 945.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 326.9053, build_memory: 1012159826.8401, f_measure: 0.9704, kappa: 0.9692, kb_relative_information_score: 1652.1286, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9705, predictive_accuracy: 0.9704, prior_entropy: 4.7004, recall: 0.9704, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9666, scimark_benchmark: 934.1538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 329.7957, build_memory: 453913369.3328, f_measure: 0.9704, kappa: 0.9692, kb_relative_information_score: 1652.1286, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9705, predictive_accuracy: 0.9704, prior_entropy: 4.7004, recall: 0.9704, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9666, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 334.3727, build_memory: 449296819.6599, f_measure: 0.9704, kappa: 0.9692, kb_relative_information_score: 1652.1286, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9705, predictive_accuracy: 0.9704, prior_entropy: 4.7004, recall: 0.9704, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9666, scimark_benchmark: 916.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 168.7169, build_memory: 372358655.0632, f_measure: 0.97, kappa: 0.9688, kb_relative_information_score: 1652.1499, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 4.7004, recall: 0.97, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9666, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 164.4986, build_memory: 346929013.4585, f_measure: 0.97, kappa: 0.9688, kb_relative_information_score: 1652.1499, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 4.7004, recall: 0.97, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9666, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 653.6307, build_memory: 1212430721.4878, f_measure: 0.97, kappa: 0.9688, kb_relative_information_score: 1652.0622, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 4.7004, recall: 0.97, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9666, scimark_benchmark: 943.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 689.5526, build_memory: 1033780065.9536, f_measure: 0.97, kappa: 0.9688, kb_relative_information_score: 1652.0622, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 4.7004, recall: 0.97, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9666, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, build_cpu_time: 0.083, build_memory: 773868134.4702, f_measure: 0.6532, kappa: 0.6828, kb_relative_information_score: 2502.9572, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7492, predictive_accuracy: 0.695, prior_entropy: 4.7004, recall: 0.695, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.9441, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, build_cpu_time: 1.1321, build_memory: 658829354.0038, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 6638.8486, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.5527, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, build_cpu_time: 1.1122, build_memory: 483498828.888, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 6638.8486, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.5527, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, build_cpu_time: 0.0013, build_memory: 687719620.1831, f_measure: 0.0029, kb_relative_information_score: 0.1421, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, build_cpu_time: 0.0011, build_memory: 782928031.2643, f_measure: 0.0029, kb_relative_information_score: 0.1421, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, build_cpu_time: 1.8216, build_memory: 493581709.4708, f_measure: 0.139, kappa: 0.1133, kb_relative_information_score: 1068.9119, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.1365, predictive_accuracy: 0.1474, prior_entropy: 4.7004, recall: 0.1474, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.3317, scimark_benchmark: 929.8725,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 29.8976, build_memory: 718223541.7037, f_measure: 0.9686, kappa: 0.9673, kb_relative_information_score: 1653.4025, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9687, predictive_accuracy: 0.9686, prior_entropy: 4.7004, recall: 0.9686, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9666, scimark_benchmark: 935.37,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 61.3743, build_memory: 775745746.0829, f_measure: 0.9686, kappa: 0.9673, kb_relative_information_score: 1653.4025, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9687, predictive_accuracy: 0.9686, prior_entropy: 4.7004, recall: 0.9686, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9666, scimark_benchmark: 936.5273,
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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