OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 145979 Supervised Classification spambase 58350 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4573, kb_relative_information_score: -1.0656, 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: 1.0001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1116.8032, usercpu_time_millis: 6.244, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 5.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8824, kappa: 0.7509, kb_relative_information_score: 1697.5547, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8945, predictive_accuracy: 0.8857, prior_entropy: 0.9674, recall: 0.8857, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7276, scimark_benchmark: 1092.3792, usercpu_time_millis: 4.208, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 3.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4573, kb_relative_information_score: -0.0922, 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: 1004.2126, usercpu_time_millis: 1.06, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.938, kappa: 0.8697, kb_relative_information_score: 3422.0104, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9384, predictive_accuracy: 0.9383, prior_entropy: 0.9674, recall: 0.9383, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4593, scimark_benchmark: 1094.0468, usercpu_time_millis: 19.065, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 17.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9216, kappa: 0.835, kb_relative_information_score: 3054.3427, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9227, predictive_accuracy: 0.9222, prior_entropy: 0.9674, recall: 0.9222, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5445, scimark_benchmark: 1009.8829, usercpu_time_millis: 52.507, usercpu_time_millis_testing: 1.283, usercpu_time_millis_training: 51.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8775, kappa: 0.7454, kb_relative_information_score: 2376.3207, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8798, predictive_accuracy: 0.8768, prior_entropy: 0.9674, recall: 0.8768, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6519, scimark_benchmark: 1156.494, usercpu_time_millis: 22.07, usercpu_time_millis_testing: 1.356, usercpu_time_millis_training: 20.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4573, kb_relative_information_score: -0.0647, 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: 938.6448, usercpu_time_millis: 4.934, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 4.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9322, kappa: 0.8573, kb_relative_information_score: 3471.447, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.933, predictive_accuracy: 0.9326, prior_entropy: 0.9674, recall: 0.9326, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4787, scimark_benchmark: 945.7286, usercpu_time_millis: 257.159, usercpu_time_millis_testing: 4.228, usercpu_time_millis_training: 252.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9303, kappa: 0.8533, kb_relative_information_score: 3143.1785, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9309, predictive_accuracy: 0.9307, prior_entropy: 0.9674, recall: 0.9307, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.5141, scimark_benchmark: 1180.4958, usercpu_time_millis: 50.425, usercpu_time_millis_testing: 3.034, usercpu_time_millis_training: 47.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9485, kappa: 0.8918, kb_relative_information_score: 3482.2384, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9488, predictive_accuracy: 0.9487, prior_entropy: 0.9674, recall: 0.9487, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4332, scimark_benchmark: 1016.4399, usercpu_time_millis: 21.617, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 20.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9255, kappa: 0.8432, kb_relative_information_score: 3142.7873, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9261, predictive_accuracy: 0.9259, prior_entropy: 0.9674, recall: 0.9259, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5232, scimark_benchmark: 1131.1635, usercpu_time_millis: 40.291, usercpu_time_millis_testing: 1.811, usercpu_time_millis_training: 38.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9334, kappa: 0.8598, kb_relative_information_score: 3495.6376, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9339, predictive_accuracy: 0.9337, prior_entropy: 0.9674, recall: 0.9337, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4681, scimark_benchmark: 1128.8446, usercpu_time_millis: 95.061, usercpu_time_millis_testing: 2.643, usercpu_time_millis_training: 92.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9263, kappa: 0.8446, kb_relative_information_score: 2668.9809, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9292, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5652, scimark_benchmark: 1094.343, usercpu_time_millis: 20.467, usercpu_time_millis_testing: 2.069, usercpu_time_millis_training: 18.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9396, kappa: 0.8731, kb_relative_information_score: 3559.3274, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9398, predictive_accuracy: 0.9398, prior_entropy: 0.9674, recall: 0.9398, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4494, scimark_benchmark: 1128.6669, usercpu_time_millis: 43.34, usercpu_time_millis_testing: 1.761, usercpu_time_millis_training: 41.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9354, kappa: 0.8641, kb_relative_information_score: 3543.9543, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9358, predictive_accuracy: 0.9357, prior_entropy: 0.9674, recall: 0.9357, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4597, scimark_benchmark: 967.8833, usercpu_time_millis: 62.964, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 61.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9272, kappa: 0.8469, kb_relative_information_score: 3037.6889, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9278, predictive_accuracy: 0.9276, prior_entropy: 0.9674, recall: 0.9276, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5328, scimark_benchmark: 1085.5879, usercpu_time_millis: 19.636, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 18.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4573, kb_relative_information_score: 0.1435, 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: 1127.2259, usercpu_time_millis: 10.469, usercpu_time_millis_testing: 1.367, usercpu_time_millis_training: 9.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9204, kappa: 0.8325, kb_relative_information_score: 3291.5502, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9211, predictive_accuracy: 0.9209, prior_entropy: 0.9674, recall: 0.9209, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5175, scimark_benchmark: 1088.6807, usercpu_time_millis: 314.771, usercpu_time_millis_testing: 3.825, usercpu_time_millis_training: 310.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: -0.5493, 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: 1099.9872, usercpu_time_millis: 0.886, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9398, kappa: 0.8736, kb_relative_information_score: 3635.6235, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9674, recall: 0.94, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.443, scimark_benchmark: 1030.0102, usercpu_time_millis: 77.721, usercpu_time_millis_testing: 1.278, usercpu_time_millis_training: 76.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.786, kappa: 0.5474, kb_relative_information_score: 1691.002, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8097, predictive_accuracy: 0.7968, prior_entropy: 0.9674, recall: 0.7968, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.759, scimark_benchmark: 1143.3335, usercpu_time_millis: 4.415, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 4.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9205, kappa: 0.8323, kb_relative_information_score: 2537.0639, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9238, predictive_accuracy: 0.9215, prior_entropy: 0.9674, recall: 0.9215, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.5882, scimark_benchmark: 1160.0382, usercpu_time_millis: 12.505, usercpu_time_millis_testing: 1.375, usercpu_time_millis_training: 11.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9365, kappa: 0.8664, kb_relative_information_score: 3476.1622, mean_absolute_error: 0.1288, 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: 0.2697, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4704, scimark_benchmark: 1117.8295, usercpu_time_millis: 6.608, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 6.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9416, kappa: 0.8772, kb_relative_information_score: 3627.4804, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9418, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4401, scimark_benchmark: 1048.2627, usercpu_time_millis: 243.414, usercpu_time_millis_testing: 4.662, usercpu_time_millis_training: 238.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9137, kappa: 0.8177, kb_relative_information_score: 2390.6555, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9181, predictive_accuracy: 0.915, prior_entropy: 0.9674, recall: 0.915, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6131, scimark_benchmark: 1170.9311, usercpu_time_millis: 10.214, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 9.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9282, kappa: 0.8488, kb_relative_information_score: 2591.6476, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9293, predictive_accuracy: 0.9287, prior_entropy: 0.9674, recall: 0.9287, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.581, scimark_benchmark: 1150.1007, usercpu_time_millis: 6.221, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 5.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8484, kappa: 0.6793, kb_relative_information_score: 1423.6708, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8764, predictive_accuracy: 0.8557, prior_entropy: 0.9674, recall: 0.8557, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7736, scimark_benchmark: 1048.8257, usercpu_time_millis: 11.025, usercpu_time_millis_testing: 1.22, usercpu_time_millis_training: 9.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.947, kappa: 0.8888, kb_relative_information_score: 3621.0302, mean_absolute_error: 0.1137, 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: 0.2382, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4232, scimark_benchmark: 1150.85, usercpu_time_millis: 128.513, usercpu_time_millis_testing: 4.765, usercpu_time_millis_training: 123.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9358, kappa: 0.8651, kb_relative_information_score: 3561.2327, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 0.9674, recall: 0.9361, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4564, scimark_benchmark: 1044.8682, usercpu_time_millis: 165.658, usercpu_time_millis_testing: 3.845, usercpu_time_millis_training: 161.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4573, kb_relative_information_score: 0.0436, 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: 1113.7162, usercpu_time_millis: 4.459, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 3.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9516, kappa: 0.8985, kb_relative_information_score: 3689.7308, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9517, predictive_accuracy: 0.9518, prior_entropy: 0.9674, recall: 0.9518, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.404, scimark_benchmark: 1143.9048, usercpu_time_millis: 38.334, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 36.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8616, kappa: 0.7095, kb_relative_information_score: 2168.6338, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8615, predictive_accuracy: 0.862, prior_entropy: 0.9674, recall: 0.862, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.683, scimark_benchmark: 1133.9525, usercpu_time_millis: 22.122, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 21.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9356, kappa: 0.8645, kb_relative_information_score: 3537.0396, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 0.9674, recall: 0.9359, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4596, scimark_benchmark: 1074.9556, usercpu_time_millis: 117.557, usercpu_time_millis_testing: 2.57, usercpu_time_millis_training: 114.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.922, kappa: 0.836, kb_relative_information_score: 2952.1757, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9225, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.272, root_relative_squared_error: 0.5566, scimark_benchmark: 1088.5145, usercpu_time_millis: 23.263, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 22.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9455, kappa: 0.8854, kb_relative_information_score: 3535.7675, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9458, predictive_accuracy: 0.9457, prior_entropy: 0.9674, recall: 0.9457, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4339, scimark_benchmark: 1157.3375, usercpu_time_millis: 121.373, usercpu_time_millis_testing: 5.092, usercpu_time_millis_training: 116.281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9457, kappa: 0.886, kb_relative_information_score: 3701.1369, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9459, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4209, scimark_benchmark: 1190.7972, usercpu_time_millis: 131.403, usercpu_time_millis_testing: 2.24, usercpu_time_millis_training: 129.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9475, kappa: 0.8898, kb_relative_information_score: 3729.596, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.9674, recall: 0.9476, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4164, scimark_benchmark: 1028.5452, usercpu_time_millis: 173.33, usercpu_time_millis_testing: 3.258, usercpu_time_millis_training: 170.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9384, kappa: 0.8705, kb_relative_information_score: 3182.3797, mean_absolute_error: 0.1669, 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: 0.3496, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4903, scimark_benchmark: 1087.3154, usercpu_time_millis: 13.701, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 12.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9312, kappa: 0.8552, kb_relative_information_score: 3446.3473, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9318, predictive_accuracy: 0.9315, prior_entropy: 0.9674, recall: 0.9315, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.4805, scimark_benchmark: 1170.2794, usercpu_time_millis: 53.459, usercpu_time_millis_testing: 1.336, usercpu_time_millis_training: 52.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8984, kappa: 0.7874, kb_relative_information_score: 2702.3282, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8985, predictive_accuracy: 0.8983, prior_entropy: 0.9674, recall: 0.8983, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6079, scimark_benchmark: 1016.3659, usercpu_time_millis: 37.754, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 36.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9329, kappa: 0.8588, kb_relative_information_score: 3259.9463, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9336, predictive_accuracy: 0.9333, prior_entropy: 0.9674, recall: 0.9333, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4977, scimark_benchmark: 1161.515, usercpu_time_millis: 36.122, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 35.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9343, kappa: 0.8618, kb_relative_information_score: 3502.1903, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9347, predictive_accuracy: 0.9346, prior_entropy: 0.9674, recall: 0.9346, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4653, scimark_benchmark: 1056.5466, usercpu_time_millis: 24.835, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 24.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8841, kappa: 0.7588, kb_relative_information_score: 2515.1811, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8859, predictive_accuracy: 0.8835, prior_entropy: 0.9674, recall: 0.8835, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6357, scimark_benchmark: 1039.7744, usercpu_time_millis: 12.344, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 11.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9473, kappa: 0.8895, kb_relative_information_score: 3780.6181, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9473, predictive_accuracy: 0.9474, prior_entropy: 0.9674, recall: 0.9474, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4216, scimark_benchmark: 1839.2774, usercpu_time_millis: 334.163, usercpu_time_millis_testing: 3.554, usercpu_time_millis_training: 330.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9352, kappa: 0.8637, kb_relative_information_score: 3575.7708, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9355, predictive_accuracy: 0.9354, prior_entropy: 0.9674, recall: 0.9354, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4607, scimark_benchmark: 1823.3401, usercpu_time_millis: 213.819, usercpu_time_millis_testing: 1.798, usercpu_time_millis_training: 212.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9393, kappa: 0.8724, kb_relative_information_score: 3596.7149, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9397, predictive_accuracy: 0.9396, prior_entropy: 0.9674, recall: 0.9396, relative_absolute_error: 0.2398, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4473, scimark_benchmark: 1812.0241, usercpu_time_millis: 147.605, usercpu_time_millis_testing: 3.088, usercpu_time_millis_training: 144.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9504, kappa: 0.8959, kb_relative_information_score: 3793.1093, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9504, predictive_accuracy: 0.9504, prior_entropy: 0.9674, recall: 0.9504, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4078, scimark_benchmark: 1808.5977, usercpu_time_millis: 119.167, usercpu_time_millis_testing: 2.356, usercpu_time_millis_training: 116.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.934, kappa: 0.8612, kb_relative_information_score: 3522.5946, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9346, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4624, scimark_benchmark: 1847.8629, usercpu_time_millis: 115.922, usercpu_time_millis_testing: 1.617, usercpu_time_millis_training: 114.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.934, kappa: 0.8611, kb_relative_information_score: 3436.8046, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9347, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.4734, scimark_benchmark: 2012.8082, usercpu_time_millis: 103.738, usercpu_time_millis_testing: 2.152, usercpu_time_millis_training: 101.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9411, kappa: 0.8761, kb_relative_information_score: 3519.3926, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9414, predictive_accuracy: 0.9413, prior_entropy: 0.9674, recall: 0.9413, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4459, scimark_benchmark: 1815.4778, usercpu_time_millis: 91.03, usercpu_time_millis_testing: 3.667, usercpu_time_millis_training: 87.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9486, kappa: 0.892, kb_relative_information_score: 3696.3009, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 0.9674, recall: 0.9487, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4113, scimark_benchmark: 1824.7487, usercpu_time_millis: 90.515, usercpu_time_millis_testing: 2.739, usercpu_time_millis_training: 87.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8856, kappa: 0.7605, kb_relative_information_score: 2689.6087, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8857, predictive_accuracy: 0.8855, prior_entropy: 0.9674, recall: 0.8855, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6313, scimark_benchmark: 1744.3918, usercpu_time_millis: 46.481, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 45.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9338, kappa: 0.8608, kb_relative_information_score: 3451.2963, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9343, predictive_accuracy: 0.9341, prior_entropy: 0.9674, recall: 0.9341, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4719, scimark_benchmark: 1847.3589, usercpu_time_millis: 23.44, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 22.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9525, kappa: 0.9003, kb_relative_information_score: 3760.7519, mean_absolute_error: 0.0968, 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: 0.2027, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.3993, scimark_benchmark: 1796.2258, usercpu_time_millis: 20.852, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 20.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9431, kappa: 0.8806, kb_relative_information_score: 3683.1304, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9432, predictive_accuracy: 0.9433, prior_entropy: 0.9674, recall: 0.9433, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.434, scimark_benchmark: 1813.6269, usercpu_time_millis: 15.808, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 15.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9371, kappa: 0.8676, kb_relative_information_score: 3017.4445, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 0.9674, recall: 0.9374, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.5101, scimark_benchmark: 1799.7351, usercpu_time_millis: 10.164, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 9.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4573, kb_relative_information_score: 0.1647, 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: 1812.5429, usercpu_time_millis: 4.045, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 3.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9314, kappa: 0.8556, kb_relative_information_score: 3307.4118, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.932, predictive_accuracy: 0.9318, prior_entropy: 0.9674, recall: 0.9318, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4939, scimark_benchmark: 1730.591, usercpu_time_millis: 89.534, usercpu_time_millis_testing: 1.694, usercpu_time_millis_training: 87.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9488, kappa: 0.8926, kb_relative_information_score: 3697.204, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 0.9674, recall: 0.9489, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4096, scimark_benchmark: 1852.4707, usercpu_time_millis: 91.538, usercpu_time_millis_testing: 2.939, usercpu_time_millis_training: 88.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9373, kappa: 0.8682, kb_relative_information_score: 3584.8149, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9378, predictive_accuracy: 0.9376, prior_entropy: 0.9674, recall: 0.9376, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4557, scimark_benchmark: 1735.1328, usercpu_time_millis: 69.589, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 68.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9462, kappa: 0.887, kb_relative_information_score: 3673.6819, mean_absolute_error: 0.1071, 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: 0.2242, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4178, scimark_benchmark: 1672.0209, usercpu_time_millis: 68.5, usercpu_time_millis_testing: 2.175, usercpu_time_millis_training: 66.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9455, kappa: 0.8854, kb_relative_information_score: 3560.9974, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9457, predictive_accuracy: 0.9457, prior_entropy: 0.9674, recall: 0.9457, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4342, scimark_benchmark: 1789.156, usercpu_time_millis: 67.907, usercpu_time_millis_testing: 2.128, usercpu_time_millis_training: 65.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9198, kappa: 0.8312, kb_relative_information_score: 2828.7044, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9204, predictive_accuracy: 0.9202, prior_entropy: 0.9674, recall: 0.9202, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5642, scimark_benchmark: 1697.7525, usercpu_time_millis: 48.515, usercpu_time_millis_testing: 2.038, usercpu_time_millis_training: 46.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9434, kappa: 0.8815, kb_relative_information_score: 3819.2341, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9434, predictive_accuracy: 0.9435, prior_entropy: 0.9674, recall: 0.9435, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4302, scimark_benchmark: 1729.4055, usercpu_time_millis: 33.85, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 33.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9411, kappa: 0.8763, kb_relative_information_score: 3548.7646, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9413, predictive_accuracy: 0.9413, prior_entropy: 0.9674, recall: 0.9413, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4444, scimark_benchmark: 1843.1687, usercpu_time_millis: 28.411, usercpu_time_millis_testing: 1.156, usercpu_time_millis_training: 27.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9378, kappa: 0.8692, kb_relative_information_score: 3447.7188, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9674, recall: 0.9381, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4553, scimark_benchmark: 1735.4398, usercpu_time_millis: 17.553, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 16.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8073, kappa: 0.5921, kb_relative_information_score: 1664.4671, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8292, predictive_accuracy: 0.8161, prior_entropy: 0.9674, recall: 0.8161, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7575, scimark_benchmark: 1736.3677, usercpu_time_millis: 20.991, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 19.83,

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