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Supervised Classification on anneal

Supervised Classification on anneal

Task 2 Supervised Classification anneal 5745 runs submitted
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  • at2 basic d3m study_1 study_107 study_14 study_41 study_70 study_73 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9485, kappa: 0.8714, kb_relative_information_score: 759.5356, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9486, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.4056, scimark_benchmark: 1648.9017, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9351, kappa: 0.8378, kb_relative_information_score: 679.0712, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9364, predictive_accuracy: 0.9376, prior_entropy: 1.2149, recall: 0.9376, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.4914, scimark_benchmark: 1532.7174, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9343, kappa: 0.8355, kb_relative_information_score: 670.2963, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9348, predictive_accuracy: 0.9354, prior_entropy: 1.2149, recall: 0.9354, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.5071, scimark_benchmark: 1546.0695, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9525, kappa: 0.8824, kb_relative_information_score: 774.3707, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9538, predictive_accuracy: 0.9521, prior_entropy: 1.2149, recall: 0.9521, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.113, root_relative_squared_error: 0.4376, scimark_benchmark: 1621.6836, usercpu_time_millis: 280, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9499, kappa: 0.875, kb_relative_information_score: 773.8924, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.95, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.4758, scimark_benchmark: 1468.8267, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253, scimark_benchmark: 1521.3122, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9454, kappa: 0.861, kb_relative_information_score: 689.6338, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9462, predictive_accuracy: 0.9465, prior_entropy: 1.2149, recall: 0.9465, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5072, scimark_benchmark: 1488.9391, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.7629, kappa: 0.5419, kb_relative_information_score: 358.3541, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8679, predictive_accuracy: 0.7405, prior_entropy: 1.2149, recall: 0.7405, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.9862, scimark_benchmark: 1470.609, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.7629, kappa: 0.5419, kb_relative_information_score: 358.3541, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8679, predictive_accuracy: 0.7405, prior_entropy: 1.2149, recall: 0.7405, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.9862, scimark_benchmark: 1429.9249, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9473, kappa: 0.8684, kb_relative_information_score: 740.5033, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9495, predictive_accuracy: 0.9465, prior_entropy: 1.2149, recall: 0.9465, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.4594, scimark_benchmark: 1485.2052, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7449, kappa: 0.4503, kb_relative_information_score: 315.7232, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7437, predictive_accuracy: 0.7717, prior_entropy: 1.2149, recall: 0.7717, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.8453, scimark_benchmark: 1447.903, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1453.6135, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9555, kappa: 0.8893, kb_relative_information_score: 768.4507, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9556, predictive_accuracy: 0.9555, prior_entropy: 1.2149, recall: 0.9555, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.4505, scimark_benchmark: 1348.784, usercpu_time_millis: 1590, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9263, kappa: 0.8148, kb_relative_information_score: 700.7938, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9264, predictive_accuracy: 0.9265, prior_entropy: 1.2149, recall: 0.9265, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.5697, scimark_benchmark: 1494.4786, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9145, kappa: 0.7868, kb_relative_information_score: 660.5744, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9153, predictive_accuracy: 0.9176, prior_entropy: 1.2149, recall: 0.9176, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.5378, scimark_benchmark: 1518.6281, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 1491.7946, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8769, kappa: 0.6947, kb_relative_information_score: 596.1167, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8884, predictive_accuracy: 0.8942, prior_entropy: 1.2149, recall: 0.8942, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.6176, scimark_benchmark: 1504.2913, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8745, kappa: 0.6945, kb_relative_information_score: 626.6958, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8865, predictive_accuracy: 0.8942, prior_entropy: 1.2149, recall: 0.8942, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5968, scimark_benchmark: 1451.6797, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.7743, kappa: 0.4571, kb_relative_information_score: 291.2334, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7747, predictive_accuracy: 0.8396, prior_entropy: 1.2149, recall: 0.8396, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8059, scimark_benchmark: 1487.9748, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7823, kappa: 0.4724, kb_relative_information_score: 308.2379, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7794, predictive_accuracy: 0.8419, prior_entropy: 1.2149, recall: 0.8419, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.7985, scimark_benchmark: 1445.7295, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8523, kappa: 0.6293, kb_relative_information_score: 515.2144, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8526, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.6795, scimark_benchmark: 1520.943, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9189, kappa: 0.8022, kb_relative_information_score: 660.8986, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9247, predictive_accuracy: 0.9176, prior_entropy: 1.2149, recall: 0.9176, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.5636, scimark_benchmark: 1666.357, usercpu_time_millis: 90, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9417, kappa: 0.8573, kb_relative_information_score: 735.0369, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9438, predictive_accuracy: 0.941, prior_entropy: 1.2149, recall: 0.941, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.5158, scimark_benchmark: 1491.9041, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8816, kappa: 0.7031, kb_relative_information_score: 540.1716, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8826, predictive_accuracy: 0.8898, prior_entropy: 1.2149, recall: 0.8898, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.6537, scimark_benchmark: 1485.5807, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.6659, kappa: 0.0254, kb_relative_information_score: -511.0545, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6184, predictive_accuracy: 0.755, prior_entropy: 1.2149, recall: 0.755, relative_absolute_error: 1.6992, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.2386, scimark_benchmark: 1493.547, usercpu_time_millis: 280, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.563, f_measure: 0.6587, kb_relative_information_score: -532.0341, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.7069, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.2448, scimark_benchmark: 1444.8303, usercpu_time_millis: 310, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: -571.7141, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.7255, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.2598, scimark_benchmark: 1550.2586, usercpu_time_millis: 230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.7726, kappa: 0.4202, kb_relative_information_score: -490.6883, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7483, predictive_accuracy: 0.8218, prior_entropy: 1.2149, recall: 0.8218, relative_absolute_error: 1.6863, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.2274, scimark_benchmark: 1500.6047, usercpu_time_millis: 400, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7683, kappa: 0.3983, kb_relative_information_score: -492.993, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7638, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 1.6863, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.317, root_relative_squared_error: 1.2275, scimark_benchmark: 1504.1396, usercpu_time_millis: 380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.7331, kappa: 0.2831, kb_relative_information_score: -499.6811, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7119, predictive_accuracy: 0.7951, prior_entropy: 1.2149, recall: 0.7951, relative_absolute_error: 1.6916, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3182, root_relative_squared_error: 1.2323, scimark_benchmark: 1481.1941, usercpu_time_millis: 320, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.7547, kappa: 0.3692, kb_relative_information_score: -494.2098, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7314, predictive_accuracy: 0.8107, prior_entropy: 1.2149, recall: 0.8107, relative_absolute_error: 1.6887, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3173, root_relative_squared_error: 1.2288, scimark_benchmark: 1568.4956, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.7384, kappa: 0.3055, kb_relative_information_score: -497.5289, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7082, predictive_accuracy: 0.7951, prior_entropy: 1.2149, recall: 0.7951, relative_absolute_error: 1.6911, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3181, root_relative_squared_error: 1.2319, scimark_benchmark: 1534.4902, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.6587, kb_relative_information_score: -514.5008, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.6996, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.2389, scimark_benchmark: 1558.5951, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8261, kappa: 0.5427, kb_relative_information_score: 456.1751, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8348, predictive_accuracy: 0.8419, prior_entropy: 1.2149, recall: 0.8419, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.7449, scimark_benchmark: 1425.0424, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.6613, kappa: 0.0079, kb_relative_information_score: -519.6721, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6554, predictive_accuracy: 0.7628, prior_entropy: 1.2149, recall: 0.7628, relative_absolute_error: 1.7003, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.239, scimark_benchmark: 1536.2312, usercpu_time_millis: 440, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: -571.7141, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.7255, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.2598, scimark_benchmark: 1551.4441, usercpu_time_millis: 460, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8994, kappa: 0.7492, kb_relative_information_score: -466.3483, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9081, predictive_accuracy: 0.9042, prior_entropy: 1.2149, recall: 0.9042, relative_absolute_error: 1.6714, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.2155, scimark_benchmark: 1537.9016, usercpu_time_millis: 840, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 770,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8523, kappa: 0.6293, kb_relative_information_score: 515.2145, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8526, predictive_accuracy: 0.8664, prior_entropy: 1.2149, recall: 0.8664, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.6795, scimark_benchmark: 1497.5378, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9189, kappa: 0.8022, kb_relative_information_score: 661.1149, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9247, predictive_accuracy: 0.9176, prior_entropy: 1.2149, recall: 0.9176, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.5633, scimark_benchmark: 1513.1667, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8816, kappa: 0.7031, kb_relative_information_score: 540.1716, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8826, predictive_accuracy: 0.8898, prior_entropy: 1.2149, recall: 0.8898, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.6537, scimark_benchmark: 1408.5944, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9203, kappa: 0.8046, kb_relative_information_score: 668.0272, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9249, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.143, root_relative_squared_error: 0.5539, scimark_benchmark: 1455.7942, usercpu_time_millis: 130, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9417, kappa: 0.8573, kb_relative_information_score: 737.3874, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9438, predictive_accuracy: 0.941, prior_entropy: 1.2149, recall: 0.941, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5164, scimark_benchmark: 1431.2851, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.7726, kappa: 0.4202, kb_relative_information_score: -490.6883, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7483, predictive_accuracy: 0.8218, prior_entropy: 1.2149, recall: 0.8218, relative_absolute_error: 1.6863, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.2274, scimark_benchmark: 1472.395, usercpu_time_millis: 400, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.7373, kappa: 0.2999, kb_relative_information_score: -498.1355, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7074, predictive_accuracy: 0.794, prior_entropy: 1.2149, recall: 0.794, relative_absolute_error: 1.6915, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3182, root_relative_squared_error: 1.2322, scimark_benchmark: 1510.8544, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8261, kappa: 0.5427, kb_relative_information_score: 456.1751, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8348, predictive_accuracy: 0.8419, prior_entropy: 1.2149, recall: 0.8419, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.7449, scimark_benchmark: 1503.0567, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.738, kappa: 0.3152, kb_relative_information_score: 284.4113, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7733, predictive_accuracy: 0.8062, prior_entropy: 1.2149, recall: 0.8062, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.8689, scimark_benchmark: 1501.4713, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.7161, kappa: 0.2665, kb_relative_information_score: 180.3492, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6478, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.919, scimark_benchmark: 1531.5317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.6678, kappa: 0.0303, kb_relative_information_score: -510.715, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6264, predictive_accuracy: 0.7584, prior_entropy: 1.2149, recall: 0.7584, relative_absolute_error: 1.6986, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.2381, scimark_benchmark: 1433.9729, usercpu_time_millis: 370, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.6587, kb_relative_information_score: -532.0341, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.7069, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.2448, scimark_benchmark: 1484.9521, usercpu_time_millis: 240, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: -571.7141, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.7255, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.2598, scimark_benchmark: 1471.9209, usercpu_time_millis: 290, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7683, kappa: 0.3983, kb_relative_information_score: -492.993, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7638, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 1.6863, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.317, root_relative_squared_error: 1.2275, scimark_benchmark: 1500.6169, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.7299, kappa: 0.2714, kb_relative_information_score: -500.2111, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7082, predictive_accuracy: 0.7929, prior_entropy: 1.2149, recall: 0.7929, relative_absolute_error: 1.692, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3183, root_relative_squared_error: 1.2326, scimark_benchmark: 1450.833, usercpu_time_millis: 330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.7547, kappa: 0.3692, kb_relative_information_score: -494.2098, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7314, predictive_accuracy: 0.8107, prior_entropy: 1.2149, recall: 0.8107, relative_absolute_error: 1.6887, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3173, root_relative_squared_error: 1.2288, scimark_benchmark: 1472.6958, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.6587, kb_relative_information_score: -514.5008, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.6996, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.2389, scimark_benchmark: 1462.7982, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8714, kappa: 0.6754, kb_relative_information_score: 550.8007, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8771, predictive_accuracy: 0.8742, prior_entropy: 1.2149, recall: 0.8742, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.6598, scimark_benchmark: 1599.2841, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8692, kappa: 0.6684, kb_relative_information_score: 542.9227, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8741, predictive_accuracy: 0.8719, prior_entropy: 1.2149, recall: 0.8719, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.6646, scimark_benchmark: 1656.6304, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.7191, kappa: 0.2746, kb_relative_information_score: 186.9953, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7043, predictive_accuracy: 0.8029, prior_entropy: 1.2149, recall: 0.8029, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.9166, scimark_benchmark: 1434.3398, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9185, kappa: 0.7915, kb_relative_information_score: 637.6247, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9196, predictive_accuracy: 0.9198, prior_entropy: 1.2149, recall: 0.9198, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.5712, scimark_benchmark: 1564.8559, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, f_measure: 0.7156, kappa: 0.2537, kb_relative_information_score: 183.4382, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7564, predictive_accuracy: 0.7996, prior_entropy: 1.2149, recall: 0.7996, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.238, root_relative_squared_error: 0.9215, scimark_benchmark: 1836.8945, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9045, kappa: 0.7574, kb_relative_information_score: 637.0678, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9047, predictive_accuracy: 0.9076, prior_entropy: 1.2149, recall: 0.9076, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.5611, scimark_benchmark: 1672.9495, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8829, kappa: 0.7045, kb_relative_information_score: 621.1223, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8847, predictive_accuracy: 0.8875, prior_entropy: 1.2149, recall: 0.8875, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.15, root_relative_squared_error: 0.5809, scimark_benchmark: 1655.1201, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8931, kappa: 0.7297, kb_relative_information_score: 620.8847, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8954, predictive_accuracy: 0.8998, prior_entropy: 1.2149, recall: 0.8998, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.5663, scimark_benchmark: 1811.2461, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.8844, kappa: 0.7069, kb_relative_information_score: 606.179, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8882, predictive_accuracy: 0.8909, prior_entropy: 1.2149, recall: 0.8909, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.582, scimark_benchmark: 1820.7122, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9204, kappa: 0.7999, kb_relative_information_score: 684.2841, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9208, predictive_accuracy: 0.9209, prior_entropy: 1.2149, recall: 0.9209, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.5244, scimark_benchmark: 1791.4535, usercpu_time_millis: 400, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9202, kappa: 0.7991, kb_relative_information_score: 681.1649, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9206, predictive_accuracy: 0.9209, prior_entropy: 1.2149, recall: 0.9209, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.5242, scimark_benchmark: 1407.6331, usercpu_time_millis: 390, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9243, kappa: 0.8103, kb_relative_information_score: 681.4713, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9243, predictive_accuracy: 0.9243, prior_entropy: 1.2149, recall: 0.9243, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.5157, scimark_benchmark: 1691.3679, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9218, kappa: 0.804, kb_relative_information_score: 674.7168, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9217, predictive_accuracy: 0.922, prior_entropy: 1.2149, recall: 0.922, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.5213, scimark_benchmark: 1671.7709, usercpu_time_millis: 290, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 250,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs