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Supervised Classification on fri_c1_1000_50

Supervised Classification on fri_c1_1000_50

Task 4407 Supervised Classification fri_c1_1000_50 204 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8565, kappa: 0.7101, kb_relative_information_score: 6310.494, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8566, predictive_accuracy: 0.8567, prior_entropy: 0.9936, recall: 0.8567, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6674, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8506, kappa: 0.698, kb_relative_information_score: 4935.8975, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8511, predictive_accuracy: 0.851, prior_entropy: 0.9936, recall: 0.851, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6761, scimark_benchmark: 972.587, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8656, kappa: 0.7284, kb_relative_information_score: 6192.8536, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.866, predictive_accuracy: 0.8659, prior_entropy: 0.9936, recall: 0.8659, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6215, scimark_benchmark: 934.3687, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.6682, kappa: 0.3291, kb_relative_information_score: 3313.1342, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6685, predictive_accuracy: 0.6699, prior_entropy: 0.9936, recall: 0.6699, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1542, scimark_benchmark: 904.0772, usercpu_time_millis: 1880, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.6682, kappa: 0.3291, kb_relative_information_score: 3313.1342, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6685, predictive_accuracy: 0.6699, prior_entropy: 0.9936, recall: 0.6699, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1542, scimark_benchmark: 931.771, usercpu_time_millis: 2440, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8828, kappa: 0.763, kb_relative_information_score: 6460.247, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8843, predictive_accuracy: 0.8833, prior_entropy: 0.9936, recall: 0.8833, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5841, scimark_benchmark: 938.191, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6628, kappa: 0.3185, kb_relative_information_score: 2427.6934, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6627, predictive_accuracy: 0.6639, prior_entropy: 0.9936, recall: 0.6639, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9562, scimark_benchmark: 932.2692, usercpu_time_millis: 14130, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 13500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8637, kappa: 0.7246, kb_relative_information_score: 6484.5158, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9936, recall: 0.8639, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6689, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.6682, kappa: 0.3291, kb_relative_information_score: 3313.1342, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6685, predictive_accuracy: 0.6699, prior_entropy: 0.9936, recall: 0.6699, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1542, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.6682, kappa: 0.3291, kb_relative_information_score: 3313.1342, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6685, predictive_accuracy: 0.6699, prior_entropy: 0.9936, recall: 0.6699, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1542, scimark_benchmark: 932.438, usercpu_time_millis: 2330, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8478, kappa: 0.6924, kb_relative_information_score: 5797.6115, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8483, predictive_accuracy: 0.8482, prior_entropy: 0.9936, recall: 0.8482, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6682, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8583, kappa: 0.7134, kb_relative_information_score: 3887.3599, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.8589, prior_entropy: 0.9936, recall: 0.8589, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7222, scimark_benchmark: 937.5117, usercpu_time_millis: 690, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8565, kappa: 0.7101, kb_relative_information_score: 6310.494, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8566, predictive_accuracy: 0.8567, prior_entropy: 0.9936, recall: 0.8567, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6674, scimark_benchmark: 942.2392, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8506, kappa: 0.698, kb_relative_information_score: 4935.8975, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8511, predictive_accuracy: 0.851, prior_entropy: 0.9936, recall: 0.851, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6761, scimark_benchmark: 908.9569, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8656, kappa: 0.7284, kb_relative_information_score: 6192.8536, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.866, predictive_accuracy: 0.8659, prior_entropy: 0.9936, recall: 0.8659, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6215, scimark_benchmark: 938.1282, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.6682, kappa: 0.3291, kb_relative_information_score: 3313.1342, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6685, predictive_accuracy: 0.6699, prior_entropy: 0.9936, recall: 0.6699, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1542, scimark_benchmark: 930.404, usercpu_time_millis: 2310, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.6682, kappa: 0.3291, kb_relative_information_score: 3313.1342, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6685, predictive_accuracy: 0.6699, prior_entropy: 0.9936, recall: 0.6699, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1542, scimark_benchmark: 926.5462, usercpu_time_millis: 1830, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 941.4991, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8828, kappa: 0.763, kb_relative_information_score: 6460.247, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8843, predictive_accuracy: 0.8833, prior_entropy: 0.9936, recall: 0.8833, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5841, scimark_benchmark: 930.404, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6628, kappa: 0.3185, kb_relative_information_score: 2427.6934, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6627, predictive_accuracy: 0.6639, prior_entropy: 0.9936, recall: 0.6639, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9562, scimark_benchmark: 938.4601, usercpu_time_millis: 10250, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 9790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 936.9595, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8637, kappa: 0.7246, kb_relative_information_score: 6484.5158, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9936, recall: 0.8639, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6689, scimark_benchmark: 936.9595, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8583, kappa: 0.7134, kb_relative_information_score: 3887.3599, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.8589, prior_entropy: 0.9936, recall: 0.8589, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7222, scimark_benchmark: 945.6228, usercpu_time_millis: 670, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8493, kappa: 0.696, kb_relative_information_score: 3526.8043, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8494, predictive_accuracy: 0.8492, prior_entropy: 0.9936, recall: 0.8492, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7546, scimark_benchmark: 901.4991, usercpu_time_millis: 31320, usercpu_time_millis_testing: 11180, usercpu_time_millis_training: 20140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8477, kappa: 0.6927, kb_relative_information_score: 3593.2788, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8477, predictive_accuracy: 0.8476, prior_entropy: 0.9936, recall: 0.8476, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.751, scimark_benchmark: 859.5223, usercpu_time_millis: 15820, usercpu_time_millis_testing: 5370, usercpu_time_millis_training: 10450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8306, kappa: 0.658, kb_relative_information_score: 3515.6657, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8305, predictive_accuracy: 0.8306, prior_entropy: 0.9936, recall: 0.8306, relative_absolute_error: 0.6948, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.762, scimark_benchmark: 862.7006, usercpu_time_millis: 8870, usercpu_time_millis_testing: 3280, usercpu_time_millis_training: 5590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8175, kappa: 0.6316, kb_relative_information_score: 3553.0871, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8174, predictive_accuracy: 0.8175, prior_entropy: 0.9936, recall: 0.8175, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.766, scimark_benchmark: 891.6381, usercpu_time_millis: 3440, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7829, kappa: 0.5616, kb_relative_information_score: 3386.3838, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.7829, predictive_accuracy: 0.7832, prior_entropy: 0.9936, recall: 0.7832, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7956, scimark_benchmark: 862.7006, usercpu_time_millis: 1530, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8536, kappa: 0.7041, kb_relative_information_score: 5965.9714, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8544, predictive_accuracy: 0.8541, prior_entropy: 0.9936, recall: 0.8541, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.646, scimark_benchmark: 889.4922, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8536, kappa: 0.7041, kb_relative_information_score: 5965.9714, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8544, predictive_accuracy: 0.8541, prior_entropy: 0.9936, recall: 0.8541, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.646, scimark_benchmark: 889.4922, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8534, kappa: 0.7037, kb_relative_information_score: 5960.7749, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8542, predictive_accuracy: 0.8539, prior_entropy: 0.9936, recall: 0.8539, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6464, scimark_benchmark: 894.7131, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8515, kappa: 0.6997, kb_relative_information_score: 5913.1906, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8524, predictive_accuracy: 0.852, prior_entropy: 0.9936, recall: 0.852, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6487, scimark_benchmark: 929.0296, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8308, kappa: 0.6579, kb_relative_information_score: 5332.6317, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8316, predictive_accuracy: 0.8314, prior_entropy: 0.9936, recall: 0.8314, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6881, scimark_benchmark: 926.5859, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3868, kb_relative_information_score: -0.2819, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9936, recall: 0.547, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4978, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8811, kappa: 0.7597, kb_relative_information_score: 7523.399, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8817, predictive_accuracy: 0.8814, prior_entropy: 0.9936, recall: 0.8814, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6173, scimark_benchmark: 938.3115, usercpu_time_millis: 3120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8664, kappa: 0.73, kb_relative_information_score: 7158.9717, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.867, predictive_accuracy: 0.8668, prior_entropy: 0.9936, recall: 0.8668, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6547, scimark_benchmark: 938.3115, usercpu_time_millis: 1550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1540,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1339.2472, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1362.9924, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8478, kappa: 0.6924, kb_relative_information_score: 5797.6115, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8483, predictive_accuracy: 0.8482, prior_entropy: 0.9936, recall: 0.8482, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6682, scimark_benchmark: 1324.7884, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1362.9924, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1303.5632, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1349.1517, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8478, kappa: 0.6924, kb_relative_information_score: 5797.6115, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8483, predictive_accuracy: 0.8482, prior_entropy: 0.9936, recall: 0.8482, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6682, scimark_benchmark: 1333.202, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1340.9749, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1338.5214, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8565, kappa: 0.7101, kb_relative_information_score: 6310.494, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8566, predictive_accuracy: 0.8567, prior_entropy: 0.9936, recall: 0.8567, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6674, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8478, kappa: 0.6924, kb_relative_information_score: 5797.6115, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8483, predictive_accuracy: 0.8482, prior_entropy: 0.9936, recall: 0.8482, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6682, scimark_benchmark: 1317.5857, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1309.0674, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8828, kappa: 0.763, kb_relative_information_score: 6460.247, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8843, predictive_accuracy: 0.8833, prior_entropy: 0.9936, recall: 0.8833, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5841, scimark_benchmark: 1317.5857, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6628, kappa: 0.3185, kb_relative_information_score: 2427.6934, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6627, predictive_accuracy: 0.6639, prior_entropy: 0.9936, recall: 0.6639, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9562, scimark_benchmark: 1310.6554, usercpu_time_millis: 4860, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 4530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1317.2327, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.6682, kappa: 0.3291, kb_relative_information_score: 3313.1342, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6685, predictive_accuracy: 0.6699, prior_entropy: 0.9936, recall: 0.6699, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1542, scimark_benchmark: 1351.1238, usercpu_time_millis: 790, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8478, kappa: 0.6924, kb_relative_information_score: 5797.6115, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8483, predictive_accuracy: 0.8482, prior_entropy: 0.9936, recall: 0.8482, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6682, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1316.5668, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1347.1763, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6628, kappa: 0.3185, kb_relative_information_score: 2427.6934, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6627, predictive_accuracy: 0.6639, prior_entropy: 0.9936, recall: 0.6639, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9562, scimark_benchmark: 1313.11, usercpu_time_millis: 6140, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 5820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1331.4379, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1332.9478, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1346.4374, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8507, kappa: 0.6983, kb_relative_information_score: 5879.1267, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8514, predictive_accuracy: 0.8512, prior_entropy: 0.9936, recall: 0.8512, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6593, scimark_benchmark: 1309.2287, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6628, kappa: 0.3185, kb_relative_information_score: 2427.6934, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6627, predictive_accuracy: 0.6639, prior_entropy: 0.9936, recall: 0.6639, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9562, scimark_benchmark: 1326.2019, usercpu_time_millis: 5600, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 5280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8637, kappa: 0.7246, kb_relative_information_score: 6484.5158, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9936, recall: 0.8639, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6689, scimark_benchmark: 1315.9287, usercpu_time_millis: 710, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8583, kappa: 0.7134, kb_relative_information_score: 3887.3599, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8598, predictive_accuracy: 0.8589, prior_entropy: 0.9936, recall: 0.8589, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7222, scimark_benchmark: 1345.5961, usercpu_time_millis: 600, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 550,

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