Task
Supervised Classification on pc1_req

Supervised Classification on pc1_req

Task 4706 Supervised Classification pc1_req 203 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 1.0592, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6386, kappa: 0.1688, kb_relative_information_score: -54.5518, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6579, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9828, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.6421, kappa: 0.1755, kb_relative_information_score: 240.0257, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6579, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9884, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.5744, kappa: 0.0537, kb_relative_information_score: 695.359, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6241, predictive_accuracy: 0.6678, prior_entropy: 0.9204, recall: 0.6678, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5764, root_relative_squared_error: 1.2217, scimark_benchmark: 938.8177, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.5744, kappa: 0.0537, kb_relative_information_score: 695.359, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6241, predictive_accuracy: 0.6678, prior_entropy: 0.9204, recall: 0.6678, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5764, root_relative_squared_error: 1.2217, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, f_measure: 0.5316, kappa: -0.0019, kb_relative_information_score: -28.4842, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4428, predictive_accuracy: 0.6647, prior_entropy: 0.9204, recall: 0.6647, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0068, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.6235, kappa: 0.1409, kb_relative_information_score: 184.08, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6562, predictive_accuracy: 0.6825, prior_entropy: 0.9204, recall: 0.6825, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9804, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.6325, kappa: 0.1564, kb_relative_information_score: 207.6675, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6544, predictive_accuracy: 0.6822, prior_entropy: 0.9204, recall: 0.6822, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9833, scimark_benchmark: 941.6675, usercpu_time_millis: 670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.468, f_measure: 0.5318, kappa: -0.0025, kb_relative_information_score: -20.1476, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4905, predictive_accuracy: 0.6641, prior_entropy: 0.9204, recall: 0.6641, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0053, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.6638, kappa: 0.2228, kb_relative_information_score: 287.5576, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6712, predictive_accuracy: 0.6931, prior_entropy: 0.9204, recall: 0.6931, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0143, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.5744, kappa: 0.0537, kb_relative_information_score: 695.359, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6241, predictive_accuracy: 0.6678, prior_entropy: 0.9204, recall: 0.6678, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5764, root_relative_squared_error: 1.2217, 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: 0.5212, f_measure: 0.5744, kappa: 0.0537, kb_relative_information_score: 695.359, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6241, predictive_accuracy: 0.6678, prior_entropy: 0.9204, recall: 0.6678, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5764, root_relative_squared_error: 1.2217, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, f_measure: 0.5316, kappa: -0.0019, kb_relative_information_score: -28.4842, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4428, predictive_accuracy: 0.6647, prior_entropy: 0.9204, recall: 0.6647, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0068, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, f_measure: 0.5316, kappa: -0.0019, kb_relative_information_score: -28.4842, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4428, predictive_accuracy: 0.6647, prior_entropy: 0.9204, recall: 0.6647, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0068, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.6638, kappa: 0.2228, kb_relative_information_score: 287.5576, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6712, predictive_accuracy: 0.6931, prior_entropy: 0.9204, recall: 0.6931, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0143, scimark_benchmark: 947.1781, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 1.0592, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6386, kappa: 0.1688, kb_relative_information_score: -54.5518, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6579, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9828, scimark_benchmark: 906.5979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.6421, kappa: 0.1755, kb_relative_information_score: 240.0257, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6579, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9884, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.5744, kappa: 0.0537, kb_relative_information_score: 695.359, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6241, predictive_accuracy: 0.6678, prior_entropy: 0.9204, recall: 0.6678, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5764, root_relative_squared_error: 1.2217, scimark_benchmark: 904.5548, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, f_measure: 0.5316, kappa: -0.0019, kb_relative_information_score: -28.4842, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4428, predictive_accuracy: 0.6647, prior_entropy: 0.9204, recall: 0.6647, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0068, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, f_measure: 0.5316, kappa: -0.0019, kb_relative_information_score: -28.4842, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4428, predictive_accuracy: 0.6647, prior_entropy: 0.9204, recall: 0.6647, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0068, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, f_measure: 0.5316, kappa: -0.0019, kb_relative_information_score: -28.4842, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4428, predictive_accuracy: 0.6647, prior_entropy: 0.9204, recall: 0.6647, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0068, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, f_measure: 0.5316, kappa: -0.0019, kb_relative_information_score: -28.4842, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4428, predictive_accuracy: 0.6647, prior_entropy: 0.9204, recall: 0.6647, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0068, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.6235, kappa: 0.1409, kb_relative_information_score: 184.08, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6562, predictive_accuracy: 0.6825, prior_entropy: 0.9204, recall: 0.6825, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9804, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.6325, kappa: 0.1564, kb_relative_information_score: 207.6675, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6544, predictive_accuracy: 0.6822, prior_entropy: 0.9204, recall: 0.6822, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9833, scimark_benchmark: 941.4991, usercpu_time_millis: 400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, f_measure: 0.5316, kappa: -0.0019, kb_relative_information_score: -28.4842, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4428, predictive_accuracy: 0.6647, prior_entropy: 0.9204, recall: 0.6647, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0068, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.468, f_measure: 0.5318, kappa: -0.0025, kb_relative_information_score: -20.1476, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4905, predictive_accuracy: 0.6641, prior_entropy: 0.9204, recall: 0.6641, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0053, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.6638, kappa: 0.2228, kb_relative_information_score: 287.5576, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6712, predictive_accuracy: 0.6931, prior_entropy: 0.9204, recall: 0.6931, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0143, scimark_benchmark: 938.988, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.6452, kappa: 0.1867, kb_relative_information_score: 252.8491, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6776, predictive_accuracy: 0.6953, prior_entropy: 0.9204, recall: 0.6953, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9676, scimark_benchmark: 942.2392, usercpu_time_millis: 1330, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.6464, kappa: 0.1896, kb_relative_information_score: 251.7114, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6799, predictive_accuracy: 0.6966, prior_entropy: 0.9204, recall: 0.6966, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9681, scimark_benchmark: 608.4057, usercpu_time_millis: 1570, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.644, kappa: 0.184, kb_relative_information_score: 250.646, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.676, predictive_accuracy: 0.6944, prior_entropy: 0.9204, recall: 0.6944, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9687, scimark_benchmark: 906.5979, usercpu_time_millis: 240, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.6471, kappa: 0.1916, kb_relative_information_score: 247.7887, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6825, predictive_accuracy: 0.6978, prior_entropy: 0.9204, recall: 0.6978, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9691, scimark_benchmark: 945.2015, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.639, kappa: 0.1738, kb_relative_information_score: 234.4184, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6731, predictive_accuracy: 0.6922, prior_entropy: 0.9204, recall: 0.6922, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9736, scimark_benchmark: 933.9243, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.6281, kappa: 0.1481, kb_relative_information_score: 254.5147, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6535, predictive_accuracy: 0.6816, prior_entropy: 0.9204, recall: 0.6816, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9707, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.6281, kappa: 0.1481, kb_relative_information_score: 254.5147, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6535, predictive_accuracy: 0.6816, prior_entropy: 0.9204, recall: 0.6816, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9707, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.6281, kappa: 0.1481, kb_relative_information_score: 254.5147, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6535, predictive_accuracy: 0.6816, prior_entropy: 0.9204, recall: 0.6816, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9707, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.6281, kappa: 0.1481, kb_relative_information_score: 254.4905, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6535, predictive_accuracy: 0.6816, prior_entropy: 0.9204, recall: 0.6816, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9708, scimark_benchmark: 894.7131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: -2.7171, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 894.7131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.6235, kappa: 0.1409, kb_relative_information_score: 184.08, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6562, predictive_accuracy: 0.6825, prior_entropy: 0.9204, recall: 0.6825, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9804, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 1.0592, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1330.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6386, kappa: 0.1688, kb_relative_information_score: -54.5518, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6579, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9828, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.5744, kappa: 0.0537, kb_relative_information_score: 695.359, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6241, predictive_accuracy: 0.6678, prior_entropy: 0.9204, recall: 0.6678, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5764, root_relative_squared_error: 1.2217, scimark_benchmark: 1317.5857, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.468, f_measure: 0.5318, kappa: -0.0025, kb_relative_information_score: -20.1476, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4905, predictive_accuracy: 0.6641, prior_entropy: 0.9204, recall: 0.6641, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0053, scimark_benchmark: 1318.4315, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.6638, kappa: 0.2228, kb_relative_information_score: 287.5576, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6712, predictive_accuracy: 0.6931, prior_entropy: 0.9204, recall: 0.6931, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0143, scimark_benchmark: 1345.6844, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.6306, kappa: 0.1536, kb_relative_information_score: 238.5738, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6568, predictive_accuracy: 0.6834, prior_entropy: 0.9204, recall: 0.6834, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9759, scimark_benchmark: 1331.0047, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6386, kappa: 0.1688, kb_relative_information_score: -54.5518, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6579, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9828, scimark_benchmark: 1320.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.6421, kappa: 0.1755, kb_relative_information_score: 240.0257, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6579, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9884, scimark_benchmark: 1333.0982, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.624, kappa: 0.1431, kb_relative_information_score: 169.4455, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6604, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.981, scimark_benchmark: 1253.0071, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, f_measure: 0.5316, kappa: -0.0019, kb_relative_information_score: -28.4842, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4428, predictive_accuracy: 0.6647, prior_entropy: 0.9204, recall: 0.6647, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0068, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.6325, kappa: 0.1564, kb_relative_information_score: 207.6675, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.6544, predictive_accuracy: 0.6822, prior_entropy: 0.9204, recall: 0.6822, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9833, scimark_benchmark: 1317.2327, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, f_measure: 0.5316, kappa: -0.0019, kb_relative_information_score: -28.4842, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4428, predictive_accuracy: 0.6647, prior_entropy: 0.9204, recall: 0.6647, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0068, scimark_benchmark: 1365.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, f_measure: 0.5316, kappa: -0.0019, kb_relative_information_score: -28.4842, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4428, predictive_accuracy: 0.6647, prior_entropy: 0.9204, recall: 0.6647, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0068, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4674, f_measure: 0.5316, kappa: -0.0019, kb_relative_information_score: -28.4842, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4455, number_of_instances: 3200, precision: 0.4428, predictive_accuracy: 0.6647, prior_entropy: 0.9204, recall: 0.6647, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0068, scimark_benchmark: 1352.3373,

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