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OpenML
Task
Supervised Classification on ipums_la_99-small

Supervised Classification on ipums_la_99-small

Task 3881 Supervised Classification ipums_la_99-small 465 runs submitted
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Visibility: Public
  • study_1 study_41 under100k under1m
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465 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.9121, kappa: 0.1469, kb_relative_information_score: -3829.833, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9034, predictive_accuracy: 0.9287, prior_entropy: 0.3444, recall: 0.9287, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.0418, scimark_benchmark: 1304.9611, usercpu_time_millis: 45890, usercpu_time_millis_testing: 45890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.8363, kappa: 0.2218, kb_relative_information_score: -13547.1267, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9258, predictive_accuracy: 0.7851, prior_entropy: 0.3444, recall: 0.7851, relative_absolute_error: 1.787, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.4636, root_relative_squared_error: 1.8912, scimark_benchmark: 1325.2092, usercpu_time_millis: 11450, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 11400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9047, kb_relative_information_score: 2146.8995, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2534, root_relative_squared_error: 1.0337, scimark_benchmark: 1290.1085, usercpu_time_millis: 181800, usercpu_time_millis_testing: 22410, usercpu_time_millis_training: 159390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.9124, kappa: 0.1058, kb_relative_information_score: 2193.9934, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9131, predictive_accuracy: 0.9362, prior_entropy: 0.3444, recall: 0.9362, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2525, root_relative_squared_error: 1.0301, scimark_benchmark: 1297.6599, usercpu_time_millis: 941560, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 941490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.9109, kappa: 0.09, kb_relative_information_score: -3754.3013, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9081, predictive_accuracy: 0.9351, prior_entropy: 0.3444, recall: 0.9351, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9112, scimark_benchmark: 1318.1432, usercpu_time_millis: 15750, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 15650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.8893, kappa: 0.0392, kb_relative_information_score: -2185.7349, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8846, predictive_accuracy: 0.8942, prior_entropy: 0.3444, recall: 0.8942, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.327, scimark_benchmark: 938.343, usercpu_time_millis: 4260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9047, kb_relative_information_score: 2146.8995, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2534, root_relative_squared_error: 1.0337, scimark_benchmark: 918.6491, usercpu_time_millis: 383310, usercpu_time_millis_testing: 66650, usercpu_time_millis_training: 316660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8033, kappa: 0.1971, kb_relative_information_score: -21486.6762, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9299, predictive_accuracy: 0.7371, prior_entropy: 0.3444, recall: 0.7371, relative_absolute_error: 2.1853, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.9343, scimark_benchmark: 1028.5889, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.9108, kappa: 0.2856, kb_relative_information_score: -4586.3839, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9144, predictive_accuracy: 0.9075, prior_entropy: 0.3444, recall: 0.9075, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2632, root_relative_squared_error: 1.0737, scimark_benchmark: 928.7845, usercpu_time_millis: 24190, usercpu_time_millis_testing: 19700, usercpu_time_millis_training: 4490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.9097, kappa: 0.0636, kb_relative_information_score: -3682.5367, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9198, predictive_accuracy: 0.9369, prior_entropy: 0.3444, recall: 0.9369, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9183, scimark_benchmark: 1318.1432, usercpu_time_millis: 2640, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 2230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, f_measure: 0.9003, kappa: 0.1627, kb_relative_information_score: -2212.4142, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8994, predictive_accuracy: 0.9012, prior_entropy: 0.3444, recall: 0.9012, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.2602, scimark_benchmark: 1321.527, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.912, kappa: 0.11, kb_relative_information_score: -3123.1362, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9076, predictive_accuracy: 0.9344, prior_entropy: 0.3444, recall: 0.9344, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9404, scimark_benchmark: 1361.1055, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.9056, kappa: 0.0121, kb_relative_information_score: -344.098, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9082, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.9939, scimark_benchmark: 1330.2678, usercpu_time_millis: 7290, usercpu_time_millis_training: 7290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5244, f_measure: 0.9076, kappa: 0.0764, kb_relative_information_score: 1464.0387, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8958, predictive_accuracy: 0.9292, prior_entropy: 0.3444, recall: 0.9292, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2661, root_relative_squared_error: 1.0852, scimark_benchmark: 1317.1452, usercpu_time_millis: 190520, usercpu_time_millis_testing: 80160, usercpu_time_millis_training: 110360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.9042, kappa: 0.0166, kb_relative_information_score: 1652.4141, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8859, predictive_accuracy: 0.931, prior_entropy: 0.3444, recall: 0.931, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0713, scimark_benchmark: 1308.9788, usercpu_time_millis: 187640, usercpu_time_millis_testing: 25990, usercpu_time_millis_training: 161650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.9119, kappa: 0.1909, kb_relative_information_score: -2522.1507, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9046, predictive_accuracy: 0.9216, prior_entropy: 0.3444, recall: 0.9216, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2552, root_relative_squared_error: 1.0411, scimark_benchmark: 1358.4523, usercpu_time_millis: 2800, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.9048, kappa: 0.0026, kb_relative_information_score: 2123.3526, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8918, predictive_accuracy: 0.9356, prior_entropy: 0.3444, recall: 0.9356, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2539, root_relative_squared_error: 1.0356, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.909, kappa: 0.0602, kb_relative_information_score: 2135.1261, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.909, predictive_accuracy: 0.9357, prior_entropy: 0.3444, recall: 0.9357, relative_absolute_error: 0.5349, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2536, root_relative_squared_error: 1.0347, scimark_benchmark: 1353.5686, usercpu_time_millis: 570, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.9047, kb_relative_information_score: -10.4972, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2452, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.9126, kappa: 0.1219, kb_relative_information_score: -3389.5921, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9071, predictive_accuracy: 0.9337, prior_entropy: 0.3444, recall: 0.9337, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.9634, scimark_benchmark: 1501.4698, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.5889, kappa: 0.0864, kb_relative_information_score: -46707.8108, mean_absolute_error: 0.5213, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9373, predictive_accuracy: 0.4795, prior_entropy: 0.3444, recall: 0.4795, relative_absolute_error: 4.3338, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.7123, root_relative_squared_error: 2.9056, scimark_benchmark: 931.2336, usercpu_time_millis: 210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.5889, kappa: 0.0864, kb_relative_information_score: -46707.8108, mean_absolute_error: 0.5213, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9373, predictive_accuracy: 0.4795, prior_entropy: 0.3444, recall: 0.4795, relative_absolute_error: 4.3338, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.7123, root_relative_squared_error: 2.9056, scimark_benchmark: 945.6434, usercpu_time_millis: 210, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.5889, kappa: 0.0864, kb_relative_information_score: -46707.8108, mean_absolute_error: 0.5213, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9373, predictive_accuracy: 0.4795, prior_entropy: 0.3444, recall: 0.4795, relative_absolute_error: 4.3338, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.7123, root_relative_squared_error: 2.9056, scimark_benchmark: 945.6434, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.5889, kappa: 0.0864, kb_relative_information_score: -46707.8108, mean_absolute_error: 0.5213, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9373, predictive_accuracy: 0.4795, prior_entropy: 0.3444, recall: 0.4795, relative_absolute_error: 4.3338, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.7123, root_relative_squared_error: 2.9056, scimark_benchmark: 945.6434, usercpu_time_millis: 200, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.5889, kappa: 0.0864, kb_relative_information_score: -46707.8108, mean_absolute_error: 0.5213, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9373, predictive_accuracy: 0.4795, prior_entropy: 0.3444, recall: 0.4795, relative_absolute_error: 4.3338, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.7123, root_relative_squared_error: 2.9056, scimark_benchmark: 934.5243, usercpu_time_millis: 210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.9047, kb_relative_information_score: 2123.5518, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2514, root_relative_squared_error: 1.0253, scimark_benchmark: 894.7455, usercpu_time_millis: 8500, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 8440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.9047, kb_relative_information_score: 2096.565, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.5424, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2506, root_relative_squared_error: 1.0222, scimark_benchmark: 876.8277, usercpu_time_millis: 4180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9047, kb_relative_information_score: 2137.8915, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2529, root_relative_squared_error: 1.0316, scimark_benchmark: 942.1229, usercpu_time_millis: 2010, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.9047, kb_relative_information_score: 2118.9398, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2527, root_relative_squared_error: 1.0309, scimark_benchmark: 934.5243, usercpu_time_millis: 1020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.9047, kb_relative_information_score: 2145.4534, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2534, root_relative_squared_error: 1.0336, scimark_benchmark: 938.9865, usercpu_time_millis: 560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 550,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, build_cpu_time: 79.7687, build_memory: 1402953679.5351, f_measure: 0.9145, kappa: 0.1436, kb_relative_information_score: -307.52, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9108, predictive_accuracy: 0.9349, prior_entropy: 0.3444, recall: 0.9349, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.9987, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, build_cpu_time: 67559.89, build_memory: 612148056.483, f_measure: 0.9192, kappa: 0.2365, kb_relative_information_score: -393.0948, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9132, predictive_accuracy: 0.9313, prior_entropy: 0.3444, recall: 0.9313, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9526, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, build_cpu_time: 10666.3324, build_memory: 58285864.3618, f_measure: 0.9136, kappa: 0.1301, kb_relative_information_score: -3570.8291, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.91, predictive_accuracy: 0.9349, prior_entropy: 0.3444, recall: 0.9349, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9289, scimark_benchmark: 939.521,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, build_cpu_time: 5.8016, build_memory: 699433951.6771, f_measure: 0.9066, kappa: 0.1447, kb_relative_information_score: -814.4457, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8985, predictive_accuracy: 0.9167, prior_entropy: 0.3444, recall: 0.9167, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2712, root_relative_squared_error: 1.1064, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, build_cpu_time: 2.783, build_memory: 939569883.7078, f_measure: 0.9072, kappa: 0.1383, kb_relative_information_score: -819.4545, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8983, predictive_accuracy: 0.9189, prior_entropy: 0.3444, recall: 0.9189, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2651, root_relative_squared_error: 1.0812, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, build_cpu_time: 1.4202, build_memory: 690482463.0674, f_measure: 0.9079, kappa: 0.1222, kb_relative_information_score: -903.8535, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8976, predictive_accuracy: 0.9228, prior_entropy: 0.3444, recall: 0.9228, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2607, root_relative_squared_error: 1.0633, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, build_cpu_time: 0.8163, build_memory: 1481033606.9996, f_measure: 0.9064, kappa: 0.1073, kb_relative_information_score: -1502.75, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8955, predictive_accuracy: 0.9216, prior_entropy: 0.3444, recall: 0.9216, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2597, root_relative_squared_error: 1.0593, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, build_cpu_time: 0.3897, build_memory: 401334269.1958, f_measure: 0.9049, kappa: 0.0799, kb_relative_information_score: -2067.772, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8924, predictive_accuracy: 0.9223, prior_entropy: 0.3444, recall: 0.9223, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2549, root_relative_squared_error: 1.0398, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, build_cpu_time: 0.1097, build_memory: 841262397.706, f_measure: 0.5889, kappa: 0.0864, kb_relative_information_score: -46707.8108, mean_absolute_error: 0.5213, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9373, predictive_accuracy: 0.4795, prior_entropy: 0.3444, recall: 0.4795, relative_absolute_error: 4.3338, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.7123, root_relative_squared_error: 2.9056, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, build_cpu_time: 55260.1513, build_memory: 2255473734.7526, f_measure: 0.9174, kappa: 0.1886, kb_relative_information_score: 2025.8541, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9129, predictive_accuracy: 0.9345, prior_entropy: 0.3444, recall: 0.9345, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2555, root_relative_squared_error: 1.0424, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, build_cpu_time: 27520.8291, build_memory: 1681914600.313, f_measure: 0.9181, kappa: 0.202, kb_relative_information_score: 1969.8267, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.913, predictive_accuracy: 0.934, prior_entropy: 0.3444, recall: 0.934, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.256, root_relative_squared_error: 1.0442, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, build_cpu_time: 14324.1479, build_memory: 793034872.0624, f_measure: 0.9195, kappa: 0.2247, kb_relative_information_score: 1908.7482, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9142, predictive_accuracy: 0.9336, prior_entropy: 0.3444, recall: 0.9336, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.256, root_relative_squared_error: 1.0442, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, build_cpu_time: 7114.8274, build_memory: 432454655.3749, f_measure: 0.9171, kappa: 0.2086, kb_relative_information_score: 1574.2865, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9105, predictive_accuracy: 0.9307, prior_entropy: 0.3444, recall: 0.9307, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2588, root_relative_squared_error: 1.0557, scimark_benchmark: 935.1241,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, build_cpu_time: 442.23, build_memory: 682966769.782, f_measure: 0.9168, kappa: 0.2175, kb_relative_information_score: -2134.7602, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.91, predictive_accuracy: 0.9288, prior_entropy: 0.3444, recall: 0.9288, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.234, root_relative_squared_error: 0.9544, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, build_cpu_time: 23.634, build_memory: 802600541.9114, f_measure: 0.9188, kappa: 0.2572, kb_relative_information_score: -1103.5513, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.913, predictive_accuracy: 0.9274, prior_entropy: 0.3444, recall: 0.9274, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.9943, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, build_cpu_time: 26.4814, build_memory: 867639133.9005, f_measure: 0.9188, kappa: 0.2572, kb_relative_information_score: -1103.5513, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.913, predictive_accuracy: 0.9274, prior_entropy: 0.3444, recall: 0.9274, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.9943, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, build_cpu_time: 18.0471, build_memory: 1037987115.7739, f_measure: 0.9188, kappa: 0.2601, kb_relative_information_score: -1563.3477, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9131, predictive_accuracy: 0.927, prior_entropy: 0.3444, recall: 0.927, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.9976, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, build_cpu_time: 13.3188, build_memory: 937205974.1158, f_measure: 0.9187, kappa: 0.2579, kb_relative_information_score: -1886.647, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.913, predictive_accuracy: 0.9272, prior_entropy: 0.3444, recall: 0.9272, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.9961, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, build_cpu_time: 4.9461, build_memory: 919510232.3329, f_measure: 0.9143, kappa: 0.2036, kb_relative_information_score: 963.604, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9071, predictive_accuracy: 0.9251, prior_entropy: 0.3444, recall: 0.9251, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2644, root_relative_squared_error: 1.0783, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, build_cpu_time: 10.5918, build_memory: 867858237.1162, f_measure: 0.9162, kappa: 0.1908, kb_relative_information_score: 1642.1125, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9096, predictive_accuracy: 0.9314, prior_entropy: 0.3444, recall: 0.9314, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2581, root_relative_squared_error: 1.053, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, build_cpu_time: 22.5666, build_memory: 139952611.9937, f_measure: 0.9181, kappa: 0.1934, kb_relative_information_score: 2085.2041, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9144, predictive_accuracy: 0.9353, prior_entropy: 0.3444, recall: 0.9353, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2532, root_relative_squared_error: 1.0328, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, build_cpu_time: 45.3612, build_memory: 185197056.9977, f_measure: 0.918, kappa: 0.1863, kb_relative_information_score: 2173.7965, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9154, predictive_accuracy: 0.9361, prior_entropy: 0.3444, recall: 0.9361, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2525, root_relative_squared_error: 1.0298, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, build_cpu_time: 98.3291, build_memory: 684472761.6934, f_measure: 0.9167, kappa: 0.1679, kb_relative_information_score: 2191.7927, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9149, predictive_accuracy: 0.9362, prior_entropy: 0.3444, recall: 0.9362, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2523, root_relative_squared_error: 1.0293, scimark_benchmark: 919.8064,

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