Task
Supervised Classification on analcatdata_broadwaymult

Supervised Classification on analcatdata_broadwaymult

Task 4529 Supervised Classification analcatdata_broadwaymult 216 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 1344.2654, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1373.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7745, kappa: 0.5365, kb_relative_information_score: 1078.8997, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7753, predictive_accuracy: 0.774, prior_entropy: 0.9789, recall: 0.774, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8285, scimark_benchmark: 1316.6799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 1335.7955, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 1341.3551, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7009, kappa: 0.3789, kb_relative_information_score: 729.2694, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7049, predictive_accuracy: 0.7077, prior_entropy: 0.9789, recall: 0.7077, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8949, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7745, kappa: 0.5365, kb_relative_information_score: 1078.8997, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7753, predictive_accuracy: 0.774, prior_entropy: 0.9789, recall: 0.774, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8285, scimark_benchmark: 1344.4042, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 1280.6338, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.7709, kappa: 0.5312, kb_relative_information_score: 1181.6134, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7738, predictive_accuracy: 0.7698, prior_entropy: 0.9789, recall: 0.7698, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8661, scimark_benchmark: 1280.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7921, kappa: 0.572, kb_relative_information_score: 1112.4664, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7924, predictive_accuracy: 0.7919, prior_entropy: 0.9789, recall: 0.7919, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7894, scimark_benchmark: 1335.2029, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.495, kappa: -0.0204, kb_relative_information_score: -14.1823, mean_absolute_error: 0.4783, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5046, predictive_accuracy: 0.4912, prior_entropy: 0.9789, recall: 0.4912, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.638, root_relative_squared_error: 1.2952, scimark_benchmark: 1313.5052, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.44, f_measure: 0.5394, kappa: 0.0452, kb_relative_information_score: -557.063, mean_absolute_error: 0.5715, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5369, predictive_accuracy: 0.5439, prior_entropy: 0.9789, recall: 0.5439, relative_absolute_error: 1.1776, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3467, scimark_benchmark: 1315.933, usercpu_time_millis: 190, usercpu_time_millis_testing: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 1350.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7009, kappa: 0.3789, kb_relative_information_score: 729.2694, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7049, predictive_accuracy: 0.7077, prior_entropy: 0.9789, recall: 0.7077, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8949, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7009, kappa: 0.3789, kb_relative_information_score: 729.2694, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7049, predictive_accuracy: 0.7077, prior_entropy: 0.9789, recall: 0.7077, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8949, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 933.1165, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7601, kappa: 0.5094, kb_relative_information_score: 1148.1046, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7632, predictive_accuracy: 0.7589, prior_entropy: 0.9789, recall: 0.7589, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8033, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.775, kappa: 0.5407, kb_relative_information_score: 1150.8884, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7792, predictive_accuracy: 0.7737, prior_entropy: 0.9789, recall: 0.7737, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8286, scimark_benchmark: 1337.446, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3777, f_measure: 0.383, kappa: -0.1704, kb_relative_information_score: -423.7865, mean_absolute_error: 0.549, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.4152, predictive_accuracy: 0.3888, prior_entropy: 0.9789, recall: 0.3888, relative_absolute_error: 1.1312, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6601, root_relative_squared_error: 1.3401, scimark_benchmark: 1318.6149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3411, f_measure: 0.4162, kappa: -0.1974, kb_relative_information_score: -447.2533, mean_absolute_error: 0.5485, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.4002, predictive_accuracy: 0.4568, prior_entropy: 0.9789, recall: 0.4568, relative_absolute_error: 1.1301, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.2028, scimark_benchmark: 1292.1375, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7601, kappa: 0.5094, kb_relative_information_score: 1148.1046, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7632, predictive_accuracy: 0.7589, prior_entropy: 0.9789, recall: 0.7589, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8033, scimark_benchmark: 1302.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7376, kappa: 0.4589, kb_relative_information_score: 409.344, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7681, predictive_accuracy: 0.7523, prior_entropy: 0.9789, recall: 0.7523, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9003, scimark_benchmark: 1342.2985, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.7325, kappa: 0.4491, kb_relative_information_score: 412.7195, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7659, predictive_accuracy: 0.7484, prior_entropy: 0.9789, recall: 0.7484, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8999, scimark_benchmark: 1345.7582, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7745, kappa: 0.5365, kb_relative_information_score: 1078.8997, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7753, predictive_accuracy: 0.774, prior_entropy: 0.9789, recall: 0.774, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8285, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7601, kappa: 0.5094, kb_relative_information_score: 1148.1046, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7632, predictive_accuracy: 0.7589, prior_entropy: 0.9789, recall: 0.7589, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8033, scimark_benchmark: 882.7843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.775, kappa: 0.5407, kb_relative_information_score: 1150.8884, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7792, predictive_accuracy: 0.7737, prior_entropy: 0.9789, recall: 0.7737, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8286, scimark_benchmark: 1334.4761, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7648, kappa: 0.5119, kb_relative_information_score: 1477.1942, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.767, predictive_accuracy: 0.7681, prior_entropy: 0.9789, recall: 0.7681, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9285, scimark_benchmark: 1064.8317, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.462, f_measure: 0.5391, kappa: 0.0521, kb_relative_information_score: -171.1103, mean_absolute_error: 0.5169, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5401, predictive_accuracy: 0.5382, prior_entropy: 0.9789, recall: 0.5382, relative_absolute_error: 1.0651, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6344, root_relative_squared_error: 1.2879, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7601, kappa: 0.5094, kb_relative_information_score: 1148.1046, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7632, predictive_accuracy: 0.7589, prior_entropy: 0.9789, recall: 0.7589, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8033, scimark_benchmark: 1314.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7617, kappa: 0.5233, kb_relative_information_score: 1002.2644, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7805, predictive_accuracy: 0.76, prior_entropy: 0.9789, recall: 0.76, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8184, scimark_benchmark: 1322.4968, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 833.3193,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7009, kappa: 0.3789, kb_relative_information_score: 729.2694, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7049, predictive_accuracy: 0.7077, prior_entropy: 0.9789, recall: 0.7077, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8949, scimark_benchmark: 934.4732, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7713, kappa: 0.5288, kb_relative_information_score: 1087.4601, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7713, predictive_accuracy: 0.7712, prior_entropy: 0.9789, recall: 0.7712, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8296, scimark_benchmark: 1304.9611, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7715, kappa: 0.5288, kb_relative_information_score: 1084.0984, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7714, predictive_accuracy: 0.7716, prior_entropy: 0.9789, recall: 0.7716, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8259, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7722, kappa: 0.5299, kb_relative_information_score: 1083.5001, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.772, predictive_accuracy: 0.7726, prior_entropy: 0.9789, recall: 0.7726, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8231, scimark_benchmark: 938.9967, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7736, kappa: 0.5328, kb_relative_information_score: 1087.502, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7734, predictive_accuracy: 0.774, prior_entropy: 0.9789, recall: 0.774, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8208, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.773, kappa: 0.5311, kb_relative_information_score: 1087.6298, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7727, predictive_accuracy: 0.7737, prior_entropy: 0.9789, recall: 0.7737, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8212, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.7064, kappa: 0.3905, kb_relative_information_score: 624.1094, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7089, predictive_accuracy: 0.7119, prior_entropy: 0.9789, recall: 0.7119, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9258, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.5761, kappa: 0.1199, kb_relative_information_score: 191.0188, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5746, predictive_accuracy: 0.5849, prior_entropy: 0.9789, recall: 0.5849, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5258, root_relative_squared_error: 1.0676, scimark_benchmark: 882.7843, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.7796, kappa: 0.5441, kb_relative_information_score: 1544.8995, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7795, predictive_accuracy: 0.7807, prior_entropy: 0.9789, recall: 0.7807, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9507, scimark_benchmark: 1325.2092, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.7613, kappa: 0.5044, kb_relative_information_score: 1465.6021, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7693, predictive_accuracy: 0.7674, prior_entropy: 0.9789, recall: 0.7674, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9792, scimark_benchmark: 930.5999, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7819, kappa: 0.5509, kb_relative_information_score: 1551.1598, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7821, predictive_accuracy: 0.7818, prior_entropy: 0.9789, recall: 0.7818, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9485, scimark_benchmark: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7827, kappa: 0.5512, kb_relative_information_score: 1089.4334, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7824, predictive_accuracy: 0.7832, prior_entropy: 0.9789, recall: 0.7832, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8153, scimark_benchmark: 1339.3974, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.6712, kappa: 0.3277, kb_relative_information_score: 883.3926, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.6747, predictive_accuracy: 0.6695, prior_entropy: 0.9789, recall: 0.6695, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5749, root_relative_squared_error: 1.1672, scimark_benchmark: 1280.6952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.5292, kappa: 0.023, kb_relative_information_score: 64.4698, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5261, predictive_accuracy: 0.5358, prior_entropy: 0.9789, recall: 0.5358, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.1695, scimark_benchmark: 1318.5526, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.5668, kappa: 0.1008, kb_relative_information_score: 186.9083, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5658, predictive_accuracy: 0.5786, prior_entropy: 0.9789, recall: 0.5786, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9905, scimark_benchmark: 1341.5768, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.5315, kappa: 0.0708, kb_relative_information_score: 81.8929, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5514, predictive_accuracy: 0.5288, prior_entropy: 0.9789, recall: 0.5288, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5904, root_relative_squared_error: 1.1987, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.4531, kappa: 0.0207, kb_relative_information_score: 36.542, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.651, predictive_accuracy: 0.5923, prior_entropy: 0.9789, recall: 0.5923, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9946, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.7416, kappa: 0.4647, kb_relative_information_score: 1148.944, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7418, predictive_accuracy: 0.7439, prior_entropy: 0.9789, recall: 0.7439, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9791, scimark_benchmark: 1318.1432, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.6421, kappa: 0.258, kb_relative_information_score: 741.4921, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.6411, predictive_accuracy: 0.6456, prior_entropy: 0.9789, recall: 0.6456, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5953, root_relative_squared_error: 1.2086, scimark_benchmark: 1341.5768, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.4012, kappa: -0.0489, kb_relative_information_score: -531.4391, mean_absolute_error: 0.5684, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.4771, predictive_accuracy: 0.4316, prior_entropy: 0.9789, recall: 0.4316, relative_absolute_error: 1.1712, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.7539, root_relative_squared_error: 1.5307, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.6705, kappa: 0.3656, kb_relative_information_score: 831.2996, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7194, predictive_accuracy: 0.6716, prior_entropy: 0.9789, recall: 0.6716, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8583, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.767, kappa: 0.5161, kb_relative_information_score: 1492.7302, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7728, predictive_accuracy: 0.7719, prior_entropy: 0.9789, recall: 0.7719, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9696, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.7544, kappa: 0.4956, kb_relative_information_score: 1384.218, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7556, predictive_accuracy: 0.7537, prior_entropy: 0.9789, recall: 0.7537, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0076, scimark_benchmark: 1341.2341,

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