Task
Supervised Classification on pc1_req

Supervised Classification on pc1_req

Task 4001 Supervised Classification pc1_req 494 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 19.5305, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9894, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 19.7441, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9882, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 19.7441, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9882, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 19.7441, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9882, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.6125, kappa: 0.1092, kb_relative_information_score: 22.7056, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6223, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.061, scimark_benchmark: 1365.1392, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 1327.2954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.5345, kappa: -0.0062, kb_relative_information_score: 5.1813, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5259, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9906, scimark_benchmark: 1309.4998, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.1897, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938, scimark_benchmark: 1331.2332, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: 6.0345, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9882, scimark_benchmark: 1328.1857, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1352.1128, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1292.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1330.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -3.6695, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0105, scimark_benchmark: 1322.806, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.2633, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.012, scimark_benchmark: 1316.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 1360.6367, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 1351.5471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 1308.6872, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 1371.174, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -3.6695, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0105, scimark_benchmark: 952.4682, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 928.8135, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 933.0918, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, 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: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.542, f_measure: 0.5532, kappa: 0.0242, kb_relative_information_score: 2.9038, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6131, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9939, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, 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: 1317.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 1346.2927, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.2633, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.012, scimark_benchmark: 1295.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6274, kappa: 0.1534, kb_relative_information_score: 22.9756, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6754, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.976, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.3498, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0161, scimark_benchmark: 1331.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.2633, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.012, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, 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: 936.4883,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.6286, kappa: 0.1507, kb_relative_information_score: 20.2337, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6591, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9855, scimark_benchmark: 946.6409, usercpu_time_millis: 640, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 620,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4841, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -8.0864, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0234, scimark_benchmark: 1355.0452, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 916.0735, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.6286, kappa: 0.1507, kb_relative_information_score: 20.2337, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6591, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9855, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, 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: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6274, kappa: 0.1534, kb_relative_information_score: 22.9756, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6754, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.976, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 904.6764, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.5775, kappa: 0.0523, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6089, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2314, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 1347.8728, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.5775, kappa: 0.0523, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6089, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2314, scimark_benchmark: 1402.9349, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.579, kappa: 0.0719, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6746, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026, scimark_benchmark: 1641.7916, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.1897, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938, scimark_benchmark: 935.2002, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: -0.2717, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4455, number_of_instances: 320, 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: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5559, f_measure: 0.6217, kappa: 0.1327, kb_relative_information_score: 74.9475, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.642, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.6469, kappa: 0.1839, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6513, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, 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: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.1897, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6247, kappa: 0.1352, kb_relative_information_score: 17.8105, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.634, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6247, kappa: 0.1352, kb_relative_information_score: 17.8105, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.634, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0264,

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