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OpenML
Task
Supervised Classification on analcatdata_lawsuit

Supervised Classification on analcatdata_lawsuit

Task 3542 Supervised Classification analcatdata_lawsuit 674 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_50 study_7 under100k under1m
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674 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9689, kappa: 0.7616, kb_relative_information_score: 155.457, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9685, predictive_accuracy: 0.9697, prior_entropy: 0.385, recall: 0.9697, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.5667, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.9767, kappa: 0.8212, kb_relative_information_score: 196.0691, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9765, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5833, scimark_benchmark: 1312.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8934, kb_relative_information_score: 66.1975, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.8612, predictive_accuracy: 0.928, prior_entropy: 0.385, recall: 0.928, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.038, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.9183, kappa: 0.2582, kb_relative_information_score: 96.1679, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9431, predictive_accuracy: 0.9394, prior_entropy: 0.385, recall: 0.9394, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9525, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9885, kappa: 0.9128, kb_relative_information_score: 142.7474, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.4863, scimark_benchmark: 938.343, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.9689, kappa: 0.7616, kb_relative_information_score: 176.0889, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9685, predictive_accuracy: 0.9697, prior_entropy: 0.385, recall: 0.9697, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.6735, scimark_benchmark: 939.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 203.4751, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.4175, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9773, kappa: 0.8299, kb_relative_information_score: 174.6062, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.5215, scimark_benchmark: 1319.6463, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9813, kappa: 0.8616, kb_relative_information_score: 191.7521, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.4802, scimark_benchmark: 1280.6952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9848, kappa: 0.8866, kb_relative_information_score: 216.0494, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.4763, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9852, kappa: 0.8918, kb_relative_information_score: 196.4111, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9859, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.4839, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.9848, kappa: 0.8866, kb_relative_information_score: 205.2827, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.4881, scimark_benchmark: 1336.3256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9778, kappa: 0.8377, kb_relative_information_score: 196.0691, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9787, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5833, scimark_benchmark: 1425.1294, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8934, kb_relative_information_score: 66.1975, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.8612, predictive_accuracy: 0.928, prior_entropy: 0.385, recall: 0.928, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.038, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9813, kappa: 0.8616, kb_relative_information_score: 206.2932, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.5182, scimark_benchmark: 902.4773, usercpu_time_millis: 2070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9852, kappa: 0.8918, kb_relative_information_score: 206.1654, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9859, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.475, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.9451, kappa: 0.6035, kb_relative_information_score: 106.158, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9475, predictive_accuracy: 0.9432, prior_entropy: 0.385, recall: 0.9432, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.9223, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9749, kappa: 0.823, kb_relative_information_score: 186.079, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9781, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.63, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.8934, kb_relative_information_score: -5.1315, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.8612, predictive_accuracy: 0.928, prior_entropy: 0.385, recall: 0.928, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2585, root_relative_squared_error: 1.0002, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.9813, kappa: 0.8616, kb_relative_information_score: 196.1753, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.5313, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9738, kappa: 0.8062, kb_relative_information_score: 165.4012, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9742, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.6167, scimark_benchmark: 942.6953, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9738, kappa: 0.8062, kb_relative_information_score: 154.3548, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9742, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.6209, scimark_benchmark: 926.6717, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9738, kappa: 0.8062, kb_relative_information_score: 154.3548, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9742, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.6209, scimark_benchmark: 936.7115, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9852, kappa: 0.8918, kb_relative_information_score: 215.9768, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9859, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.4763, scimark_benchmark: 894.7455, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9852, kappa: 0.8918, kb_relative_information_score: 212.543, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9859, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.4905, scimark_benchmark: 943.2817, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9813, kappa: 0.8616, kb_relative_information_score: 210.4692, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.5061, scimark_benchmark: 911.3823, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9773, kappa: 0.8299, kb_relative_information_score: 193.8685, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.5518, scimark_benchmark: 922.9039, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9638, kappa: 0.7415, kb_relative_information_score: 157.2779, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9665, predictive_accuracy: 0.9621, prior_entropy: 0.385, recall: 0.9621, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.6609, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 225.1319, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4138, scimark_benchmark: 945.6434, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9852, kappa: 0.8918, kb_relative_information_score: 211.7914, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9859, predictive_accuracy: 0.9848, prior_entropy: 0.385, recall: 0.9848, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.473, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9813, kappa: 0.8616, kb_relative_information_score: 199.4404, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.5099, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9738, kappa: 0.8062, kb_relative_information_score: 185.0921, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9742, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.5341, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9738, kappa: 0.8062, kb_relative_information_score: 169.3572, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9742, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.5739, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.8934, kb_relative_information_score: -5.1315, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.8612, predictive_accuracy: 0.928, prior_entropy: 0.385, recall: 0.928, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2585, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, build_cpu_time: 0.0096, build_memory: 527718691.5455, f_measure: 0.9704, kappa: 0.7837, kb_relative_information_score: 148.5762, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9714, predictive_accuracy: 0.9697, prior_entropy: 0.385, recall: 0.9697, relative_absolute_error: 0.2659, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.6436, scimark_benchmark: 943.2074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 1.2623, build_memory: 830791187.3939, f_measure: 0.9655, kappa: 0.7384, kb_relative_information_score: 173.7816, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9651, predictive_accuracy: 0.9659, prior_entropy: 0.385, recall: 0.9659, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.6402, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, build_cpu_time: 2.4285, build_memory: 843507215.5455, f_measure: 0.9655, kappa: 0.7384, kb_relative_information_score: 183.3919, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9651, predictive_accuracy: 0.9659, prior_entropy: 0.385, recall: 0.9659, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.6211, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 4.6541, build_memory: 373082700.2424, f_measure: 0.9704, kappa: 0.7837, kb_relative_information_score: 182.0046, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9714, predictive_accuracy: 0.9697, prior_entropy: 0.385, recall: 0.9697, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.6489, scimark_benchmark: 943.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, build_cpu_time: 9.8014, build_memory: 41432684, f_measure: 0.9744, kappa: 0.815, kb_relative_information_score: 186.0482, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.976, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.63, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, build_cpu_time: 19.7332, build_memory: 434090938.9091, f_measure: 0.971, kappa: 0.7932, kb_relative_information_score: 176.0887, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9735, predictive_accuracy: 0.9697, prior_entropy: 0.385, recall: 0.9697, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.6735, scimark_benchmark: 944.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, build_cpu_time: 11.7554, build_memory: 104205737.1212, f_measure: 0.9885, kappa: 0.9128, kb_relative_information_score: 224.1268, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.4128, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, build_cpu_time: 6.3199, build_memory: 426348001.4848, f_measure: 0.9885, kappa: 0.9128, kb_relative_information_score: 224.1268, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.4128, scimark_benchmark: 937.6343,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, build_cpu_time: 1.3021, build_memory: 1355383839.2727, f_measure: 0.9885, kappa: 0.9128, kb_relative_information_score: 223.8232, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.0897, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.4131, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, build_cpu_time: 0.3736, build_memory: 815171392.3333, f_measure: 0.9671, kappa: 0.7621, kb_relative_information_score: 166.0444, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9689, predictive_accuracy: 0.9659, prior_entropy: 0.385, recall: 0.9659, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.706, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, build_cpu_time: 0.5516, build_memory: 245239541.7273, f_measure: 0.9704, kappa: 0.7837, kb_relative_information_score: 176.0907, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9714, predictive_accuracy: 0.9697, prior_entropy: 0.385, recall: 0.9697, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.6735, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, build_cpu_time: 1.1, build_memory: 712028307.9091, f_measure: 0.9778, kappa: 0.8377, kb_relative_information_score: 196.0691, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9787, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5833, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, build_cpu_time: 0.0178, build_memory: 518067326.2727, f_measure: 0.9738, kappa: 0.8062, kb_relative_information_score: 183.2309, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9742, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.6331, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, build_cpu_time: 0.0152, build_memory: 1199539799.8788, f_measure: 0.9738, kappa: 0.8062, kb_relative_information_score: 183.2309, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9742, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.6331, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, build_cpu_time: 0.0122, build_memory: 173397183.2121, f_measure: 0.9738, kappa: 0.8062, kb_relative_information_score: 183.2309, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9742, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.6331, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, build_cpu_time: 0.0141, build_memory: 967702898.6364, f_measure: 0.9738, kappa: 0.8062, kb_relative_information_score: 183.2305, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9742, predictive_accuracy: 0.9735, prior_entropy: 0.385, recall: 0.9735, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.6331, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, build_cpu_time: 0.0035, build_memory: 165532354, f_measure: 0.9773, kappa: 0.8299, kb_relative_information_score: 195.8544, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.5682, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, build_cpu_time: 0.0044, build_memory: 160013280.303, f_measure: 0.9773, kappa: 0.8299, kb_relative_information_score: 195.8544, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.5682, scimark_benchmark: 935.6292,

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