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Supervised Classification on BNG(cmc,nominal,55296)

Supervised Classification on BNG(cmc,nominal,55296)

Task 145 Supervised Classification BNG(cmc,nominal,55296) 259 runs submitted
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  • study_1 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.5109, kappa: 0.2411, kb_relative_information_score: 11045.9358, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5108, predictive_accuracy: 0.5113, prior_entropy: 1.5394, recall: 0.5113, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.5094, kappa: 0.2368, kb_relative_information_score: 16645.6351, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5088, predictive_accuracy: 0.5132, prior_entropy: 1.5394, recall: 0.5132, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5697, root_relative_squared_error: 1.2274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.5139, kappa: 0.2447, kb_relative_information_score: 16878.3549, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5145, predictive_accuracy: 0.5149, prior_entropy: 1.5394, recall: 0.5149, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5687, root_relative_squared_error: 1.2253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.5161, kappa: 0.2491, kb_relative_information_score: 17056.991, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5166, predictive_accuracy: 0.5163, prior_entropy: 1.5394, recall: 0.5163, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5679, root_relative_squared_error: 1.2234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.5115, kappa: 0.2431, kb_relative_information_score: 16734.1742, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5126, predictive_accuracy: 0.5113, prior_entropy: 1.5394, recall: 0.5113, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5708, root_relative_squared_error: 1.2297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.5221, kappa: 0.2588, kb_relative_information_score: 17526.2437, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5239, predictive_accuracy: 0.522, prior_entropy: 1.5394, recall: 0.522, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5645, root_relative_squared_error: 1.2162, usercpu_time_millis: 133965.059, usercpu_time_millis_testing: 8250.317, usercpu_time_millis_training: 125714.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.5154, kappa: 0.2485, kb_relative_information_score: 17031.3738, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5162, predictive_accuracy: 0.5154, prior_entropy: 1.5394, recall: 0.5154, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5684, root_relative_squared_error: 1.2245, usercpu_time_millis: 10311.562, usercpu_time_millis_testing: 3302.209, usercpu_time_millis_training: 7009.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.5158, kappa: 0.2475, kb_relative_information_score: 17016.3766, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5191, predictive_accuracy: 0.5181, prior_entropy: 1.5394, recall: 0.5181, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5668, root_relative_squared_error: 1.2212, usercpu_time_millis: 7086.346, usercpu_time_millis_testing: 210.197, usercpu_time_millis_training: 6876.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.5042, kappa: 0.2305, kb_relative_information_score: 16140.2058, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5046, predictive_accuracy: 0.5046, prior_entropy: 1.5394, recall: 0.5046, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5747, root_relative_squared_error: 1.2382, usercpu_time_millis: 2650.589, usercpu_time_millis_testing: 5.524, usercpu_time_millis_training: 2645.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.5227, kappa: 0.2576, kb_relative_information_score: 17597.3394, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5229, predictive_accuracy: 0.5245, prior_entropy: 1.5394, recall: 0.5245, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.563, root_relative_squared_error: 1.213, usercpu_time_millis: 4193.75, usercpu_time_millis_testing: 290.697, usercpu_time_millis_training: 3903.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.4329, kappa: 0.1693, kb_relative_information_score: 13551.2228, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.4584, predictive_accuracy: 0.4724, prior_entropy: 1.5394, recall: 0.4724, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5931, root_relative_squared_error: 1.2778, usercpu_time_millis: 4.081, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 3.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.526, kappa: 0.2649, kb_relative_information_score: 17843.6914, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5278, predictive_accuracy: 0.526, prior_entropy: 1.5394, recall: 0.526, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5622, root_relative_squared_error: 1.2112, usercpu_time_millis: 379.701, usercpu_time_millis_testing: 10.601, usercpu_time_millis_training: 369.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.5118, kappa: 0.2421, kb_relative_information_score: 16762.6192, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5117, predictive_accuracy: 0.5126, prior_entropy: 1.5394, recall: 0.5126, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.2282, usercpu_time_millis: 2091.404, usercpu_time_millis_testing: 203.741, usercpu_time_millis_training: 1887.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.5253, kappa: 0.2634, kb_relative_information_score: 17781.7112, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5266, predictive_accuracy: 0.5254, prior_entropy: 1.5394, recall: 0.5254, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.2119, usercpu_time_millis: 299.147, usercpu_time_millis_testing: 3.805, usercpu_time_millis_training: 295.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.5166, kappa: 0.2504, kb_relative_information_score: 17125.4651, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5173, predictive_accuracy: 0.5166, prior_entropy: 1.5394, recall: 0.5166, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5677, root_relative_squared_error: 1.2231, usercpu_time_millis: 150.491, usercpu_time_millis_testing: 1.298, usercpu_time_millis_training: 149.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.4719, kappa: 0.2278, kb_relative_information_score: 14896.0101, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5213, predictive_accuracy: 0.4746, prior_entropy: 1.5394, recall: 0.4746, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5918, root_relative_squared_error: 1.2751, usercpu_time_millis: 8.652, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 8.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.4178, kappa: 0.1244, kb_relative_information_score: 11260.6616, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.4288, predictive_accuracy: 0.4462, prior_entropy: 1.5394, recall: 0.4462, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.6076, root_relative_squared_error: 1.3091, usercpu_time_millis: 3.762, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 3.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, f_measure: 0.5102, kappa: 0.2412, kb_relative_information_score: 16629.0379, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5108, predictive_accuracy: 0.5099, prior_entropy: 1.5394, recall: 0.5099, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5716, root_relative_squared_error: 1.2315, usercpu_time_millis: 110.498, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 110.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, f_measure: 0.4908, kappa: 0.224, kb_relative_information_score: 15360.5291, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5001, predictive_accuracy: 0.4884, prior_entropy: 1.5394, recall: 0.4884, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.584, root_relative_squared_error: 1.2583, usercpu_time_millis: 21.116, usercpu_time_millis_testing: 19.439, usercpu_time_millis_training: 1.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.5043, kappa: 0.2274, kb_relative_information_score: 16141.5164, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5057, predictive_accuracy: 0.5066, prior_entropy: 1.5394, recall: 0.5066, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5735, root_relative_squared_error: 1.2357, usercpu_time_millis: 62.798, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 62.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5258, f_measure: 0.3667, kappa: 0.0568, kb_relative_information_score: 9751.9432, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.437, predictive_accuracy: 0.4403, prior_entropy: 1.5394, recall: 0.4403, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.6108, root_relative_squared_error: 1.316, usercpu_time_millis: 197.861, usercpu_time_millis_testing: 197.713, usercpu_time_millis_training: 0.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.5017, kappa: 0.2247, kb_relative_information_score: 15976.5193, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5015, predictive_accuracy: 0.5039, prior_entropy: 1.5394, recall: 0.5039, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5751, root_relative_squared_error: 1.2391, usercpu_time_millis: 10.973, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 10.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5507, f_measure: 0.4057, kappa: 0.1111, kb_relative_information_score: 12204.1443, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.4985, predictive_accuracy: 0.4701, prior_entropy: 1.5394, recall: 0.4701, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5944, root_relative_squared_error: 1.2806, usercpu_time_millis: 213.749, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 213.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.5213, kappa: 0.2558, kb_relative_information_score: 17478.8907, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5213, predictive_accuracy: 0.5226, prior_entropy: 1.5394, recall: 0.5226, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5642, root_relative_squared_error: 1.2155, usercpu_time_millis: 8.78, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 7.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.4935, kappa: 0.2089, kb_relative_information_score: 15406.2137, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.4993, predictive_accuracy: 0.5005, prior_entropy: 1.5394, recall: 0.5005, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.577, root_relative_squared_error: 1.2432, usercpu_time_millis: 121.2, usercpu_time_millis_testing: 1.766, usercpu_time_millis_training: 119.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.4636, kappa: 0.1723, kb_relative_information_score: 13248.6995, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.487, predictive_accuracy: 0.4739, prior_entropy: 1.5394, recall: 0.4739, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5922, root_relative_squared_error: 1.2759, usercpu_time_millis: 64.804, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 64.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.5179, kappa: 0.2521, kb_relative_information_score: 17217.872, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5183, predictive_accuracy: 0.5183, prior_entropy: 1.5394, recall: 0.5183, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5667, root_relative_squared_error: 1.2209, usercpu_time_millis: 59.695, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 58.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.4368, kappa: 0.1646, kb_relative_information_score: 13359.0417, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.4542, predictive_accuracy: 0.4709, prior_entropy: 1.5394, recall: 0.4709, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5939, root_relative_squared_error: 1.2796, usercpu_time_millis: 849.454, usercpu_time_millis_testing: 21.671, usercpu_time_millis_training: 827.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.5148, kappa: 0.2484, kb_relative_information_score: 16994.1537, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5152, predictive_accuracy: 0.5147, prior_entropy: 1.5394, recall: 0.5147, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5688, root_relative_squared_error: 1.2255, usercpu_time_millis: 478.01, usercpu_time_millis_testing: 1.701, usercpu_time_millis_training: 476.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.5213, kappa: 0.2558, kb_relative_information_score: 10285.2876, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5213, predictive_accuracy: 0.5226, prior_entropy: 1.5394, recall: 0.5226, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9464, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.4993, kappa: 0.225, kb_relative_information_score: 9078.6602, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5014, predictive_accuracy: 0.4981, prior_entropy: 1.5394, recall: 0.4981, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9497, scimark_benchmark: 851.2074, usercpu_time_millis: 30680, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.5156, kappa: 0.2497, kb_relative_information_score: 17015.3256, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5251, predictive_accuracy: 0.5175, prior_entropy: 1.5394, recall: 0.5175, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.222, scimark_benchmark: 931.771, usercpu_time_millis: 1205700, usercpu_time_millis_testing: 466040, usercpu_time_millis_training: 739660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 941.6675, usercpu_time_millis: 250, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.5203, kappa: 0.255, kb_relative_information_score: 10754.4437, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5211, predictive_accuracy: 0.5208, prior_entropy: 1.5394, recall: 0.5208, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9425, scimark_benchmark: 941.6675, usercpu_time_millis: 4010, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 3840,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.5234, kappa: 0.2627, kb_relative_information_score: 11231.0813, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5254, predictive_accuracy: 0.5226, prior_entropy: 1.5394, recall: 0.5226, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9402, scimark_benchmark: 927.2917, usercpu_time_millis: 4320, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 4060,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 922.5036, usercpu_time_millis: 230, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 945.0194, usercpu_time_millis: 260, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.5203, kappa: 0.255, kb_relative_information_score: 10754.4437, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5211, predictive_accuracy: 0.5208, prior_entropy: 1.5394, recall: 0.5208, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9425, scimark_benchmark: 946.9304, usercpu_time_millis: 3890, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 3720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 942.3809, usercpu_time_millis: 280, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.5234, kappa: 0.2627, kb_relative_information_score: 11231.0813, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5254, predictive_accuracy: 0.5226, prior_entropy: 1.5394, recall: 0.5226, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9402, scimark_benchmark: 949.7766, usercpu_time_millis: 3970, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 3700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.5119, kappa: 0.2436, kb_relative_information_score: 11044.0035, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5131, predictive_accuracy: 0.5117, prior_entropy: 1.5394, recall: 0.5117, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9579, scimark_benchmark: 942.3809, usercpu_time_millis: 14190, usercpu_time_millis_testing: 4070, usercpu_time_millis_training: 10120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.5213, kappa: 0.2558, kb_relative_information_score: 10285.2876, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5213, predictive_accuracy: 0.5226, prior_entropy: 1.5394, recall: 0.5226, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9464, scimark_benchmark: 933.4598, usercpu_time_millis: 570, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.5156, kappa: 0.2497, kb_relative_information_score: 17015.3256, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5251, predictive_accuracy: 0.5175, prior_entropy: 1.5394, recall: 0.5175, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.222, scimark_benchmark: 1318.6467, usercpu_time_millis: 1131300, usercpu_time_millis_testing: 411530, usercpu_time_millis_training: 719770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 926.6704, usercpu_time_millis: 260, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1346.2927, usercpu_time_millis: 200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1325.7874, usercpu_time_millis: 190, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1324.7884, usercpu_time_millis: 200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.5213, kappa: 0.2558, kb_relative_information_score: 10285.2876, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5213, predictive_accuracy: 0.5226, prior_entropy: 1.5394, recall: 0.5226, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9464, scimark_benchmark: 1353.0836, usercpu_time_millis: 350, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.5156, kappa: 0.2497, kb_relative_information_score: 17015.3256, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5251, predictive_accuracy: 0.5175, prior_entropy: 1.5394, recall: 0.5175, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.222, scimark_benchmark: 1352.7513, usercpu_time_millis: 1582750, usercpu_time_millis_testing: 625390, usercpu_time_millis_training: 957360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1313.8988, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1346.2927, usercpu_time_millis: 200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1303.5632, usercpu_time_millis: 190, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1338.5214, usercpu_time_millis: 190, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.4908, kappa: 0.224, kb_relative_information_score: 11275.6492, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5001, predictive_accuracy: 0.4884, prior_entropy: 1.5394, recall: 0.4884, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9721, scimark_benchmark: 930.5999, usercpu_time_millis: 180, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 930.5999, usercpu_time_millis: 240, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1333.202, usercpu_time_millis: 200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1324.7884, usercpu_time_millis: 210, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1340.9749, usercpu_time_millis: 160, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.5119, kappa: 0.2436, kb_relative_information_score: 11044.0035, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5131, predictive_accuracy: 0.5117, prior_entropy: 1.5394, recall: 0.5117, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9579, scimark_benchmark: 1342.6744, usercpu_time_millis: 10780, usercpu_time_millis_testing: 3510, usercpu_time_millis_training: 7270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.5156, kappa: 0.2497, kb_relative_information_score: 17015.3256, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5251, predictive_accuracy: 0.5175, prior_entropy: 1.5394, recall: 0.5175, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.222, scimark_benchmark: 1335.6555, usercpu_time_millis: 1178940, usercpu_time_millis_testing: 456890, usercpu_time_millis_training: 722050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.4908, kappa: 0.224, kb_relative_information_score: 11275.6492, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5001, predictive_accuracy: 0.4884, prior_entropy: 1.5394, recall: 0.4884, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9721, scimark_benchmark: 1309.0674, usercpu_time_millis: 180, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5051, kappa: 0.2425, kb_relative_information_score: 10820.5042, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5115, predictive_accuracy: 0.5028, prior_entropy: 1.5394, recall: 0.5028, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9511, scimark_benchmark: 1306.9281, usercpu_time_millis: 220, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 50,

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