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Function: require_once

OpenML
OpenML
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: 0.5719, build_cpu_time: 27.3777, build_memory: 297953338.4487, f_measure: 0.9011, kappa: 0.1522, kb_relative_information_score: -1153.4422, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8982, predictive_accuracy: 0.9041, prior_entropy: 0.3444, recall: 0.9041, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.2629, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, build_cpu_time: 29.4459, build_memory: 813396658.5518, f_measure: 0.9011, kappa: 0.1522, kb_relative_information_score: -1153.4422, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8982, predictive_accuracy: 0.9041, prior_entropy: 0.3444, recall: 0.9041, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.2629, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, build_cpu_time: 49.8586, build_memory: 134760495.1506, f_measure: 0.9011, kappa: 0.1522, kb_relative_information_score: -1153.4422, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8982, predictive_accuracy: 0.9041, prior_entropy: 0.3444, recall: 0.9041, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.2629, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, build_cpu_time: 27.5774, build_memory: 200436749.0792, f_measure: 0.9011, kappa: 0.1522, kb_relative_information_score: -1153.4422, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8982, predictive_accuracy: 0.9041, prior_entropy: 0.3444, recall: 0.9041, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.2629, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, build_cpu_time: 574.0532, build_memory: 633246321.9249, 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: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, build_cpu_time: 7.5416, build_memory: 2332290653.3749, f_measure: 0.9153, kappa: 0.2048, kb_relative_information_score: -3733.1534, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.908, predictive_accuracy: 0.9271, prior_entropy: 0.3444, recall: 0.9271, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.9562, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 148.0967, build_memory: 171597500.0009, 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: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, build_cpu_time: 5.8395, build_memory: 2526627236.038, 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: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, build_cpu_time: 0.1547, build_memory: 691777723.024, f_measure: 0.8728, kappa: 0.2469, kb_relative_information_score: -11684.3628, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9188, predictive_accuracy: 0.8424, prior_entropy: 0.3444, recall: 0.8424, relative_absolute_error: 1.4096, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3525, root_relative_squared_error: 1.4378, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, build_cpu_time: 2.5119, build_memory: 727550739.3532, 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: 938.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, build_cpu_time: 1.1121, build_memory: 901381190.313, f_measure: 0.9191, kappa: 0.2179, kb_relative_information_score: 260.0388, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9139, predictive_accuracy: 0.9337, prior_entropy: 0.3444, recall: 0.9337, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.9739, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, build_cpu_time: 0.003, build_memory: 212540167.6653, f_measure: 0.9011, kappa: 0.1522, kb_relative_information_score: -1153.4422, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8982, predictive_accuracy: 0.9041, prior_entropy: 0.3444, recall: 0.9041, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.2629, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, build_cpu_time: 8.3628, build_memory: 512946875.0792, f_measure: 0.9137, kappa: 0.1219, kb_relative_information_score: 2241.0872, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9151, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2516, root_relative_squared_error: 1.0264, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, build_cpu_time: 17.8356, build_memory: 88393147.2836, f_measure: 0.9212, kappa: 0.2344, kb_relative_information_score: -2726.5488, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9176, predictive_accuracy: 0.9361, prior_entropy: 0.3444, recall: 0.9361, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9243, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, build_cpu_time: 0.0395, build_memory: 228939347.4744, 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: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, build_cpu_time: 0.0375, build_memory: 190891471.5531, 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: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, build_cpu_time: 2.01, build_memory: 841194316.2551, f_measure: 0.9136, kappa: 0.1211, kb_relative_information_score: -3481.4127, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9143, predictive_accuracy: 0.9365, prior_entropy: 0.3444, recall: 0.9365, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.928, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, build_cpu_time: 0.5013, build_memory: 207518481.7503, f_measure: 0.9047, kb_relative_information_score: -4211.034, mean_absolute_error: 0.1024, 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: 0.8511, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9351, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, build_cpu_time: 0.5, build_memory: 170050454.1538, f_measure: 0.9047, kb_relative_information_score: -4211.034, mean_absolute_error: 0.1024, 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: 0.8511, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9351, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, build_cpu_time: 0.0416, build_memory: 305480877.1931, 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: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, build_cpu_time: 0.3433, build_memory: 482938861.905, 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: 940.3415,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, build_cpu_time: 0.3506, build_memory: 545310352.6468, 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: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, build_cpu_time: 0.0014, build_memory: 440226836.1936, 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: 943.2554,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, build_cpu_time: 0.043, build_memory: 167395076.3383, 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: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, build_cpu_time: 37141.4281, build_memory: 2487756716.948, f_measure: 0.9129, kappa: 0.1079, kb_relative_information_score: 2120.8339, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9163, predictive_accuracy: 0.9369, prior_entropy: 0.3444, recall: 0.9369, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2469, root_relative_squared_error: 1.0073, scimark_benchmark: 946.1876,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, build_cpu_time: 10006.3699, build_memory: 408728582.4071, f_measure: 0.9125, kappa: 0.1047, kb_relative_information_score: 2076.389, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9152, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.247, root_relative_squared_error: 1.0077, scimark_benchmark: 931.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, build_cpu_time: 4487.9365, build_memory: 917571021.7178, f_measure: 0.9129, kappa: 0.1065, kb_relative_information_score: 2062.2935, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9182, predictive_accuracy: 0.9372, prior_entropy: 0.3444, recall: 0.9372, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.247, root_relative_squared_error: 1.0073, scimark_benchmark: 927.8402,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, build_cpu_time: 4385.285, build_memory: 797759574.9833, f_measure: 0.918, kappa: 0.1979, kb_relative_information_score: -3334.3206, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9134, predictive_accuracy: 0.9344, prior_entropy: 0.3444, recall: 0.9344, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.924, scimark_benchmark: 946.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, build_cpu_time: 8133.1272, build_memory: 2120592565.2456, f_measure: 0.919, kappa: 0.2067, kb_relative_information_score: -3181.8207, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9149, predictive_accuracy: 0.9352, prior_entropy: 0.3444, recall: 0.9352, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.919, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, build_cpu_time: 16281.517, build_memory: 2445636366.1854, f_measure: 0.9182, kappa: 0.1961, kb_relative_information_score: -3247.2899, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.914, predictive_accuracy: 0.935, prior_entropy: 0.3444, recall: 0.935, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9185, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, build_cpu_time: 135.0097, build_memory: 1598093181.5676, f_measure: 0.9161, kappa: 0.1561, kb_relative_information_score: 2162.0779, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9154, predictive_accuracy: 0.9366, prior_entropy: 0.3444, recall: 0.9366, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.9975, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, build_cpu_time: 74.5313, build_memory: 283045133.7503, f_measure: 0.9188, kappa: 0.1995, kb_relative_information_score: 1901.6614, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9156, predictive_accuracy: 0.9359, prior_entropy: 0.3444, recall: 0.9359, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.9956, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, build_cpu_time: 37.3405, build_memory: 429753828.7028, f_measure: 0.9167, kappa: 0.1593, kb_relative_information_score: 2127.9937, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9181, predictive_accuracy: 0.9375, prior_entropy: 0.3444, recall: 0.9375, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2454, root_relative_squared_error: 1.001, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, build_cpu_time: 19.4001, build_memory: 1012168461.7323, f_measure: 0.917, kappa: 0.176, kb_relative_information_score: 1907.0175, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9139, predictive_accuracy: 0.9356, prior_entropy: 0.3444, recall: 0.9356, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2453, root_relative_squared_error: 1.0005, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, build_cpu_time: 302.8544, build_memory: 123072815.5984, f_measure: 0.9156, kappa: 0.1379, kb_relative_information_score: -775.7501, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9237, predictive_accuracy: 0.9386, prior_entropy: 0.3444, recall: 0.9386, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.9159, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, build_cpu_time: 541.5801, build_memory: 471545176.5319, f_measure: 0.9146, kappa: 0.1234, kb_relative_information_score: -788.0541, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9255, predictive_accuracy: 0.9386, prior_entropy: 0.3444, recall: 0.9386, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.916, scimark_benchmark: 945.0501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, build_cpu_time: 526.8278, build_memory: 461795937.4265, f_measure: 0.9146, kappa: 0.1234, kb_relative_information_score: -788.0541, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9255, predictive_accuracy: 0.9386, prior_entropy: 0.3444, recall: 0.9386, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.916, scimark_benchmark: 906.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, build_cpu_time: 40.8312, build_memory: 187509045.0846, f_measure: 0.9162, kappa: 0.1485, kb_relative_information_score: -2600.1302, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9213, predictive_accuracy: 0.9383, prior_entropy: 0.3444, recall: 0.9383, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9013, scimark_benchmark: 946.7111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, build_cpu_time: 21.4007, build_memory: 143753728.9389, f_measure: 0.9162, kappa: 0.1496, kb_relative_information_score: -2576.7948, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9198, predictive_accuracy: 0.9379, prior_entropy: 0.3444, recall: 0.9379, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9027, scimark_benchmark: 943.3873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, build_cpu_time: 12.1896, build_memory: 1022969852.1927, f_measure: 0.9158, kappa: 0.1461, kb_relative_information_score: -2638.0646, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9185, predictive_accuracy: 0.9376, prior_entropy: 0.3444, recall: 0.9376, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.9058, scimark_benchmark: 940.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, build_cpu_time: 5.3206, build_memory: 1163162608.9652, f_measure: 0.9162, kappa: 0.154, kb_relative_information_score: -2485.5997, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9173, predictive_accuracy: 0.9372, prior_entropy: 0.3444, recall: 0.9372, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9096, scimark_benchmark: 945.5146,

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