OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99484 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9228, kappa: 0.837, kb_relative_information_score: 2562.6281, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9259, predictive_accuracy: 0.9237, prior_entropy: 0.9674, recall: 0.9237, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5835, scimark_benchmark: 1278.7052, usercpu_time_millis: 148.496, usercpu_time_millis_testing: 12.04, usercpu_time_millis_training: 136.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9277, kappa: 0.8478, kb_relative_information_score: 2817.1141, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9283, predictive_accuracy: 0.9281, prior_entropy: 0.9674, recall: 0.9281, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5598, scimark_benchmark: 1285.883, usercpu_time_millis: 68.061, usercpu_time_millis_testing: 3.085, usercpu_time_millis_training: 64.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9501, kappa: 0.8952, kb_relative_information_score: 3671.8331, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.9674, recall: 0.9502, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4108, scimark_benchmark: 1250.2439, usercpu_time_millis: 306.656, usercpu_time_millis_testing: 11.43, usercpu_time_millis_training: 295.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9496, kappa: 0.8943, kb_relative_information_score: 3618.9229, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4181, scimark_benchmark: 1279.529, usercpu_time_millis: 285.908, usercpu_time_millis_testing: 12.262, usercpu_time_millis_training: 273.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9271, kappa: 0.8464, kb_relative_information_score: 2664.1467, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9283, predictive_accuracy: 0.9276, prior_entropy: 0.9674, recall: 0.9276, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.57, scimark_benchmark: 1275.1315, usercpu_time_millis: 72.241, usercpu_time_millis_testing: 6.687, usercpu_time_millis_training: 65.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9384, kappa: 0.8705, kb_relative_information_score: 3460.5081, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9389, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.457, scimark_benchmark: 1261.9308, usercpu_time_millis: 351.979, usercpu_time_millis_testing: 8.181, usercpu_time_millis_training: 343.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.939, kappa: 0.8717, kb_relative_information_score: 3132.8253, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9398, predictive_accuracy: 0.9394, prior_entropy: 0.9674, recall: 0.9394, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.492, scimark_benchmark: 1259.6661, usercpu_time_millis: 14.876, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 13.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.947, kappa: 0.8888, kb_relative_information_score: 3614.9476, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9472, predictive_accuracy: 0.9472, prior_entropy: 0.9674, recall: 0.9472, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4266, scimark_benchmark: 1267.1741, usercpu_time_millis: 109.772, usercpu_time_millis_testing: 4.018, usercpu_time_millis_training: 105.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8976, kappa: 0.7834, kb_relative_information_score: 1899.1797, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9042, predictive_accuracy: 0.8996, prior_entropy: 0.9674, recall: 0.8996, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.6949, scimark_benchmark: 1287.8065, usercpu_time_millis: 47, usercpu_time_millis_testing: 4.064, usercpu_time_millis_training: 42.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9273, kappa: 0.8471, kb_relative_information_score: 2796.1692, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9283, predictive_accuracy: 0.9278, prior_entropy: 0.9674, recall: 0.9278, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.5551, scimark_benchmark: 1283.4591, usercpu_time_millis: 173.683, usercpu_time_millis_testing: 7.971, usercpu_time_millis_training: 165.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9172, kappa: 0.8251, kb_relative_information_score: 2440.8884, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9208, predictive_accuracy: 0.9183, prior_entropy: 0.9674, recall: 0.9183, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.6042, scimark_benchmark: 1260.0745, usercpu_time_millis: 91.356, usercpu_time_millis_testing: 7.874, usercpu_time_millis_training: 83.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9448, kappa: 0.8841, kb_relative_information_score: 3554.827, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 0.9674, recall: 0.945, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4379, scimark_benchmark: 1278.7198, usercpu_time_millis: 26.68, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 25.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8847, kappa: 0.7558, kb_relative_information_score: 1741.7748, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8965, predictive_accuracy: 0.8879, prior_entropy: 0.9674, recall: 0.8879, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7212, scimark_benchmark: 1253.2408, usercpu_time_millis: 56.566, usercpu_time_millis_testing: 5.236, usercpu_time_millis_training: 51.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9364, kappa: 0.8664, kb_relative_information_score: 3179.2212, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9369, predictive_accuracy: 0.9368, prior_entropy: 0.9674, recall: 0.9368, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.241, root_relative_squared_error: 0.4933, scimark_benchmark: 1275.0697, usercpu_time_millis: 141.856, usercpu_time_millis_testing: 10.904, usercpu_time_millis_training: 130.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9298, kappa: 0.8522, kb_relative_information_score: 2796.1123, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9307, predictive_accuracy: 0.9302, prior_entropy: 0.9674, recall: 0.9302, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.555, scimark_benchmark: 1269.5015, usercpu_time_millis: 53.486, usercpu_time_millis_testing: 2.89, usercpu_time_millis_training: 50.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9444, kappa: 0.8832, kb_relative_information_score: 3643.602, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9446, predictive_accuracy: 0.9446, prior_entropy: 0.9674, recall: 0.9446, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4288, scimark_benchmark: 1282.9337, usercpu_time_millis: 296.954, usercpu_time_millis_testing: 6.96, usercpu_time_millis_training: 289.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9096, kappa: 0.8103, kb_relative_information_score: 2738.1235, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9096, predictive_accuracy: 0.9098, prior_entropy: 0.9674, recall: 0.9098, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.5845, scimark_benchmark: 1256.8748, usercpu_time_millis: 153.512, usercpu_time_millis_testing: 4.335, usercpu_time_millis_training: 149.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9331, kappa: 0.8593, kb_relative_information_score: 3326.6495, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9337, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4857, scimark_benchmark: 1281.0653, usercpu_time_millis: 238.526, usercpu_time_millis_testing: 4.511, usercpu_time_millis_training: 234.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9288, kappa: 0.8502, kb_relative_information_score: 2741.9725, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.93, predictive_accuracy: 0.9294, prior_entropy: 0.9674, recall: 0.9294, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5623, scimark_benchmark: 1284.6682, usercpu_time_millis: 63.603, usercpu_time_millis_testing: 3.457, usercpu_time_millis_training: 60.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9384, kappa: 0.8705, kb_relative_information_score: 3480.1001, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9389, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4557, scimark_benchmark: 1263.6624, usercpu_time_millis: 84.085, usercpu_time_millis_testing: 2.956, usercpu_time_millis_training: 81.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9447, kappa: 0.8838, kb_relative_information_score: 3324.7229, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9453, predictive_accuracy: 0.945, prior_entropy: 0.9674, recall: 0.945, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.459, scimark_benchmark: 1281.4289, usercpu_time_millis: 18.468, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 17.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.947, kappa: 0.8887, kb_relative_information_score: 3586.1903, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9472, predictive_accuracy: 0.9472, prior_entropy: 0.9674, recall: 0.9472, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4311, scimark_benchmark: 1285.2182, usercpu_time_millis: 120.179, usercpu_time_millis_testing: 3.554, usercpu_time_millis_training: 116.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9459, kappa: 0.8865, kb_relative_information_score: 3657.3018, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9461, predictive_accuracy: 0.9461, prior_entropy: 0.9674, recall: 0.9461, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4257, scimark_benchmark: 1288.0507, usercpu_time_millis: 519.733, usercpu_time_millis_testing: 13.564, usercpu_time_millis_training: 506.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9501, kappa: 0.8953, kb_relative_information_score: 3645.8257, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.9674, recall: 0.9502, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4113, scimark_benchmark: 1274.7816, usercpu_time_millis: 138.239, usercpu_time_millis_testing: 5.354, usercpu_time_millis_training: 132.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9338, kappa: 0.8607, kb_relative_information_score: 3289.07, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9345, predictive_accuracy: 0.9341, prior_entropy: 0.9674, recall: 0.9341, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.4868, scimark_benchmark: 1271.5827, usercpu_time_millis: 387.053, usercpu_time_millis_testing: 12.098, usercpu_time_millis_training: 374.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9462, kappa: 0.887, kb_relative_information_score: 3667.6629, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.9674, recall: 0.9463, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4249, scimark_benchmark: 1274.4837, usercpu_time_millis: 127.55, usercpu_time_millis_testing: 3.763, usercpu_time_millis_training: 123.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9409, kappa: 0.8757, kb_relative_information_score: 3310.7837, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9412, predictive_accuracy: 0.9411, prior_entropy: 0.9674, recall: 0.9411, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4647, scimark_benchmark: 1258.0535, usercpu_time_millis: 191.068, usercpu_time_millis_testing: 9.569, usercpu_time_millis_training: 181.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9394, kappa: 0.8726, kb_relative_information_score: 3148.8486, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9402, predictive_accuracy: 0.9398, prior_entropy: 0.9674, recall: 0.9398, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4889, scimark_benchmark: 1280.9594, usercpu_time_millis: 131.271, usercpu_time_millis_testing: 10.527, usercpu_time_millis_training: 120.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9292, kappa: 0.851, kb_relative_information_score: 3081.03, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9298, predictive_accuracy: 0.9296, prior_entropy: 0.9674, recall: 0.9296, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5213, scimark_benchmark: 1260.0699, usercpu_time_millis: 30.411, usercpu_time_millis_testing: 1.279, usercpu_time_millis_training: 29.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9468, kappa: 0.8884, kb_relative_information_score: 3658.1003, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.9674, recall: 0.947, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4213, scimark_benchmark: 1249.474, usercpu_time_millis: 38.133, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 36.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4573, kb_relative_information_score: -0.3768, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1266.4344, usercpu_time_millis: 32.438, usercpu_time_millis_testing: 3.707, usercpu_time_millis_training: 28.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9387, kappa: 0.8711, kb_relative_information_score: 3472.2466, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.939, predictive_accuracy: 0.9389, prior_entropy: 0.9674, recall: 0.9389, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4563, scimark_benchmark: 1280.8837, usercpu_time_millis: 145.486, usercpu_time_millis_testing: 6.961, usercpu_time_millis_training: 138.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9266, kappa: 0.8455, kb_relative_information_score: 2636.625, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9279, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.5782, scimark_benchmark: 1269.6887, usercpu_time_millis: 106.734, usercpu_time_millis_testing: 6.683, usercpu_time_millis_training: 100.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9109, kappa: 0.8129, kb_relative_information_score: 2748.1069, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9109, predictive_accuracy: 0.9111, prior_entropy: 0.9674, recall: 0.9111, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.583, scimark_benchmark: 1278.8467, usercpu_time_millis: 110.02, usercpu_time_millis_testing: 3.609, usercpu_time_millis_training: 106.411,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8801, kappa: 0.7477, kb_relative_information_score: 2124.1643, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8806, predictive_accuracy: 0.8809, prior_entropy: 0.9674, recall: 0.8809, relative_absolute_error: 0.5887, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6798, scimark_benchmark: 1719.1007, usercpu_time_millis: 17.313, usercpu_time_millis_testing: 1.374, usercpu_time_millis_training: 15.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9271, kappa: 0.8464, kb_relative_information_score: 2595.0372, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9283, predictive_accuracy: 0.9276, prior_entropy: 0.9674, recall: 0.9276, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.285, root_relative_squared_error: 0.5831, scimark_benchmark: 1852.4707, usercpu_time_millis: 22.438, usercpu_time_millis_testing: 1.964, usercpu_time_millis_training: 20.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9246, kappa: 0.8413, kb_relative_information_score: 3385.0304, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9253, predictive_accuracy: 0.925, prior_entropy: 0.9674, recall: 0.925, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4939, scimark_benchmark: 1849.8662, usercpu_time_millis: 93.785, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 92.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8295, kappa: 0.6392, kb_relative_information_score: 1695.1895, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8516, predictive_accuracy: 0.837, prior_entropy: 0.9674, recall: 0.837, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7466, scimark_benchmark: 1836.8078, usercpu_time_millis: 2.373, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 2.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.856, kappa: 0.695, kb_relative_information_score: 1752.6906, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8716, predictive_accuracy: 0.8609, prior_entropy: 0.9674, recall: 0.8609, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7315, scimark_benchmark: 1845.9141, usercpu_time_millis: 8.597, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 7.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9426, kappa: 0.8794, kb_relative_information_score: 3481.1815, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9429, predictive_accuracy: 0.9428, prior_entropy: 0.9674, recall: 0.9428, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.219, root_relative_squared_error: 0.4481, scimark_benchmark: 1854.1098, usercpu_time_millis: 20.838, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 19.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9385, kappa: 0.8707, kb_relative_information_score: 3558.4732, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9387, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.456, scimark_benchmark: 1834.7077, usercpu_time_millis: 26.668, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 26.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9226, kappa: 0.8371, kb_relative_information_score: 3212.4927, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9233, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.5145, scimark_benchmark: 1834.1671, usercpu_time_millis: 29.63, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 28.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8985, kappa: 0.7875, kb_relative_information_score: 2673.7567, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8985, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6126, scimark_benchmark: 1853.4477, usercpu_time_millis: 33.814, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 32.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4573, kb_relative_information_score: 0.1506, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1846.4335, usercpu_time_millis: 0.997, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4573, kb_relative_information_score: 0.3894, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1840.8272, usercpu_time_millis: 3.387, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 2.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.863, kappa: 0.7102, kb_relative_information_score: 1973.8503, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8687, predictive_accuracy: 0.8657, prior_entropy: 0.9674, recall: 0.8657, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7039, scimark_benchmark: 1733.7613, usercpu_time_millis: 6.7, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 6.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9122, kappa: 0.8156, kb_relative_information_score: 2469.0411, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9122, predictive_accuracy: 0.9124, prior_entropy: 0.9674, recall: 0.9124, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6131, scimark_benchmark: 1857.5664, usercpu_time_millis: 14.493, usercpu_time_millis_testing: 1.228, usercpu_time_millis_training: 13.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9464, kappa: 0.8876, kb_relative_information_score: 3741.4204, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9465, predictive_accuracy: 0.9465, prior_entropy: 0.9674, recall: 0.9465, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4221, scimark_benchmark: 1846.7651, usercpu_time_millis: 48.122, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 47.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.947, kappa: 0.8887, kb_relative_information_score: 3582.419, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9472, predictive_accuracy: 0.9472, prior_entropy: 0.9674, recall: 0.9472, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4315, scimark_benchmark: 1853.3841, usercpu_time_millis: 50.56, usercpu_time_millis_testing: 1.929, usercpu_time_millis_training: 48.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9305, kappa: 0.8538, kb_relative_information_score: 3324.4727, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9311, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4927, scimark_benchmark: 1694.7815, usercpu_time_millis: 57.936, usercpu_time_millis_testing: 2.034, usercpu_time_millis_training: 55.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9449, kappa: 0.8843, kb_relative_information_score: 3690.5818, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 0.9674, recall: 0.945, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.428, scimark_benchmark: 1320.3769, usercpu_time_millis: 607.865, usercpu_time_millis_testing: 10.45, usercpu_time_millis_training: 597.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9525, kappa: 0.9004, kb_relative_information_score: 3811.7734, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9674, recall: 0.9526, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.3992, scimark_benchmark: 1293.9738, usercpu_time_millis: 306.225, usercpu_time_millis_testing: 5.812, usercpu_time_millis_training: 300.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9448, kappa: 0.8842, kb_relative_information_score: 3619.4903, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 0.9674, recall: 0.945, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4346, scimark_benchmark: 1303.3776, usercpu_time_millis: 139.112, usercpu_time_millis_testing: 4.017, usercpu_time_millis_training: 135.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9519, kappa: 0.899, kb_relative_information_score: 3755.9263, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9519, predictive_accuracy: 0.952, prior_entropy: 0.9674, recall: 0.952, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4014, scimark_benchmark: 1313.5795, usercpu_time_millis: 445.577, usercpu_time_millis_testing: 12.4, usercpu_time_millis_training: 433.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8742, kappa: 0.7358, kb_relative_information_score: 2159.1824, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8741, predictive_accuracy: 0.8746, prior_entropy: 0.9674, recall: 0.8746, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6782, scimark_benchmark: 1313.436, usercpu_time_millis: 84.947, usercpu_time_millis_testing: 3.252, usercpu_time_millis_training: 81.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9469, kappa: 0.8885, kb_relative_information_score: 3712.4549, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.9674, recall: 0.947, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4228, scimark_benchmark: 1329.2739, usercpu_time_millis: 399.247, usercpu_time_millis_testing: 5.39, usercpu_time_millis_training: 393.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9424, kappa: 0.879, kb_relative_information_score: 3631.3198, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9674, recall: 0.9426, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4375, scimark_benchmark: 1328.8064, usercpu_time_millis: 1242.596, usercpu_time_millis_testing: 16.397, usercpu_time_millis_training: 1226.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9344, kappa: 0.8621, kb_relative_information_score: 3289.092, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9351, predictive_accuracy: 0.9348, prior_entropy: 0.9674, recall: 0.9348, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.238, root_relative_squared_error: 0.4871, scimark_benchmark: 1323.115, usercpu_time_millis: 277.307, usercpu_time_millis_testing: 8.244, usercpu_time_millis_training: 269.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9433, kappa: 0.8807, kb_relative_information_score: 3425.1091, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9436, predictive_accuracy: 0.9435, prior_entropy: 0.9674, recall: 0.9435, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4512, scimark_benchmark: 1311.302, usercpu_time_millis: 92.462, usercpu_time_millis_testing: 6.417, usercpu_time_millis_training: 86.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9496, kappa: 0.8942, kb_relative_information_score: 3573.7628, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9499, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4253, scimark_benchmark: 1326.0496, usercpu_time_millis: 208.322, usercpu_time_millis_testing: 11.801, usercpu_time_millis_training: 196.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.88, kappa: 0.7506, kb_relative_information_score: 2375.1281, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8822, predictive_accuracy: 0.8794, prior_entropy: 0.9674, recall: 0.8794, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6517, scimark_benchmark: 1312.388, usercpu_time_millis: 22.274, usercpu_time_millis_testing: 1.057, usercpu_time_millis_training: 21.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9497, kappa: 0.8944, kb_relative_information_score: 3726.3255, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4098, scimark_benchmark: 1328.5451, usercpu_time_millis: 299.338, usercpu_time_millis_testing: 6.647, usercpu_time_millis_training: 292.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9378, kappa: 0.8691, kb_relative_information_score: 3433.2121, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9383, predictive_accuracy: 0.9381, prior_entropy: 0.9674, recall: 0.9381, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4625, scimark_benchmark: 1311.1197, usercpu_time_millis: 317.092, usercpu_time_millis_testing: 10.113, usercpu_time_millis_training: 306.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9351, kappa: 0.8636, kb_relative_information_score: 3321.0448, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9356, predictive_accuracy: 0.9354, prior_entropy: 0.9674, recall: 0.9354, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.4811, scimark_benchmark: 1330.3564, usercpu_time_millis: 296.547, usercpu_time_millis_testing: 12.496, usercpu_time_millis_training: 284.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9351, kappa: 0.8636, kb_relative_information_score: 3393.2822, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9356, predictive_accuracy: 0.9354, prior_entropy: 0.9674, recall: 0.9354, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.4758, scimark_benchmark: 1327.1546, usercpu_time_millis: 302.764, usercpu_time_millis_testing: 11.928, usercpu_time_millis_training: 290.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9413, kappa: 0.8767, kb_relative_information_score: 3536.157, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9416, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4464, scimark_benchmark: 1293.6762, usercpu_time_millis: 157.137, usercpu_time_millis_testing: 6.076, usercpu_time_millis_training: 151.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9229, kappa: 0.8379, kb_relative_information_score: 2718.29, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9233, predictive_accuracy: 0.9233, prior_entropy: 0.9674, recall: 0.9233, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.5745, scimark_benchmark: 1275.0778, usercpu_time_millis: 64.091, usercpu_time_millis_testing: 4.039, usercpu_time_millis_training: 60.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9481, kappa: 0.8911, kb_relative_information_score: 3658.5032, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9483, predictive_accuracy: 0.9483, prior_entropy: 0.9674, recall: 0.9483, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4143, scimark_benchmark: 1301.7052, usercpu_time_millis: 337.188, usercpu_time_millis_testing: 12.374, usercpu_time_millis_training: 324.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9494, kappa: 0.8939, kb_relative_information_score: 3716.8353, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9496, predictive_accuracy: 0.9496, prior_entropy: 0.9674, recall: 0.9496, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4083, scimark_benchmark: 1284.2589, usercpu_time_millis: 211.39, usercpu_time_millis_testing: 6.588, usercpu_time_millis_training: 204.802,

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