OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7711, kappa: 0.5382, kb_relative_information_score: 1348.5138, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7715, predictive_accuracy: 0.7718, prior_entropy: 0.9948, recall: 0.7718, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8075, scimark_benchmark: 1770.3312, usercpu_time_millis: 1161.125, usercpu_time_millis_testing: 1.888, usercpu_time_millis_training: 1159.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.81, kappa: 0.6168, kb_relative_information_score: 1563.3462, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7555, scimark_benchmark: 1727.044, usercpu_time_millis: 886.767, usercpu_time_millis_testing: 4.295, usercpu_time_millis_training: 882.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7779, kappa: 0.5519, kb_relative_information_score: 1385.9238, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7786, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8005, scimark_benchmark: 1836.7415, usercpu_time_millis: 866.227, usercpu_time_millis_testing: 1.222, usercpu_time_millis_training: 865.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8007, kappa: 0.598, kb_relative_information_score: 1414.7804, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7769, scimark_benchmark: 1761.8094, usercpu_time_millis: 656.183, usercpu_time_millis_testing: 3.688, usercpu_time_millis_training: 652.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8089, kappa: 0.6147, kb_relative_information_score: 1742.7801, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7466, scimark_benchmark: 1731.5003, usercpu_time_millis: 563.281, usercpu_time_millis_testing: 2.013, usercpu_time_millis_training: 561.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7886, kappa: 0.5736, kb_relative_information_score: 1204.9016, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7889, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8067, scimark_benchmark: 1853.9121, usercpu_time_millis: 503.801, usercpu_time_millis_testing: 3.141, usercpu_time_millis_training: 500.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7521, kappa: 0.4999, kb_relative_information_score: 1269.7388, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7553, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8279, scimark_benchmark: 1732.3049, usercpu_time_millis: 418.156, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 417.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7564, kappa: 0.5086, kb_relative_information_score: 1077.8166, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8378, scimark_benchmark: 1733.3606, usercpu_time_millis: 331.359, usercpu_time_millis_testing: 1.56, usercpu_time_millis_training: 329.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8014, kappa: 0.5995, kb_relative_information_score: 1727.1511, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7648, scimark_benchmark: 1834.1773, usercpu_time_millis: 248.49, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 247.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7949, kappa: 0.5862, kb_relative_information_score: 1415.3647, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.795, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7836, scimark_benchmark: 1730.1903, usercpu_time_millis: 168.5, usercpu_time_millis_testing: 1.22, usercpu_time_millis_training: 167.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7225, kappa: 0.4401, kb_relative_information_score: 430.9856, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7247, predictive_accuracy: 0.7246, prior_entropy: 0.9948, recall: 0.7246, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9246, scimark_benchmark: 1825.6967, usercpu_time_millis: 58.936, usercpu_time_millis_testing: 1.284, usercpu_time_millis_training: 57.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7411, kappa: 0.4779, kb_relative_information_score: 616.2493, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.741, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8964, scimark_benchmark: 1762.7408, usercpu_time_millis: 12.65, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 11.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1672.9873, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8071, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7544, scimark_benchmark: 2138.1034, usercpu_time_millis: 6286.544, usercpu_time_millis_testing: 3.755, usercpu_time_millis_training: 6282.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8044, kappa: 0.6053, kb_relative_information_score: 1648.9104, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7575, scimark_benchmark: 1775.1263, usercpu_time_millis: 2407.555, usercpu_time_millis_testing: 1.743, usercpu_time_millis_training: 2405.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8087, kappa: 0.6141, kb_relative_information_score: 1558.1729, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.809, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7591, scimark_benchmark: 1738.3963, usercpu_time_millis: 1487.271, usercpu_time_millis_testing: 4.039, usercpu_time_millis_training: 1483.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8035, kappa: 0.6037, kb_relative_information_score: 1667.3586, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7595, scimark_benchmark: 1772.925, usercpu_time_millis: 1034.317, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 1033.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0356, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 2147.0192, usercpu_time_millis: 7.974, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 6.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7876, kappa: 0.5718, kb_relative_information_score: 1789.0205, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7875, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7817, scimark_benchmark: 1777.1666, usercpu_time_millis: 11484.213, usercpu_time_millis_testing: 4.13, usercpu_time_millis_training: 11480.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8011, kappa: 0.5988, kb_relative_information_score: 1619.0648, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8016, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7613, scimark_benchmark: 1822.6019, usercpu_time_millis: 9676.17, usercpu_time_millis_testing: 3.576, usercpu_time_millis_training: 9672.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7972, kappa: 0.5908, kb_relative_information_score: 1626.8907, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7975, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7643, scimark_benchmark: 776.2882, usercpu_time_millis: 9113.499, usercpu_time_millis_testing: 4.716, usercpu_time_millis_training: 9108.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1681.8546, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7561, scimark_benchmark: 1816.9291, usercpu_time_millis: 8215.223, usercpu_time_millis_testing: 3.871, usercpu_time_millis_training: 8211.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1465.3978, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7857, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7854, scimark_benchmark: 1770.0174, usercpu_time_millis: 6739.57, usercpu_time_millis_testing: 3.144, usercpu_time_millis_training: 6736.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8006, kappa: 0.5978, kb_relative_information_score: 1781.5036, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8006, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7575, scimark_benchmark: 782.7207, usercpu_time_millis: 4483.526, usercpu_time_millis_testing: 3.603, usercpu_time_millis_training: 4479.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.809, kappa: 0.6146, kb_relative_information_score: 1673.8852, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8093, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7529, scimark_benchmark: 1754.6225, usercpu_time_millis: 4457.665, usercpu_time_millis_testing: 2.57, usercpu_time_millis_training: 4455.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8094, kappa: 0.6156, kb_relative_information_score: 1732.0436, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7479, scimark_benchmark: 1793.4071, usercpu_time_millis: 3619.544, usercpu_time_millis_testing: 3.608, usercpu_time_millis_training: 3615.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.781, kappa: 0.5582, kb_relative_information_score: 1386.6565, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7815, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7994, scimark_benchmark: 767.6555, usercpu_time_millis: 2153.648, usercpu_time_millis_testing: 3.347, usercpu_time_millis_training: 2150.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8024, kappa: 0.6014, kb_relative_information_score: 1728.1034, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.5682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7563, scimark_benchmark: 786.8378, usercpu_time_millis: 1394.924, usercpu_time_millis_testing: 1.858, usercpu_time_millis_training: 1393.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7641, kappa: 0.5239, kb_relative_information_score: 1181.7063, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8222, scimark_benchmark: 1519.5186, usercpu_time_millis: 1170.509, usercpu_time_millis_testing: 2.939, usercpu_time_millis_training: 1167.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8119, kappa: 0.6206, kb_relative_information_score: 1612.2475, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8122, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.753, scimark_benchmark: 1783.7919, usercpu_time_millis: 1088.104, usercpu_time_millis_testing: 2.462, usercpu_time_millis_training: 1085.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 1609.7391, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7622, scimark_benchmark: 785.0143, usercpu_time_millis: 902.893, usercpu_time_millis_testing: 1.989, usercpu_time_millis_training: 900.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7736, kappa: 0.5431, kb_relative_information_score: 1269.3513, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.775, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1804.5155, usercpu_time_millis: 711.453, usercpu_time_millis_testing: 1.508, usercpu_time_millis_training: 709.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.7939, kappa: 0.5843, kb_relative_information_score: 1417.2123, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7943, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7828, scimark_benchmark: 1789.0218, usercpu_time_millis: 646.425, usercpu_time_millis_testing: 1.52, usercpu_time_millis_training: 644.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7983, kappa: 0.5932, kb_relative_information_score: 1541.3766, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7675, scimark_benchmark: 1806.9533, usercpu_time_millis: 375.112, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 373.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7995, kappa: 0.5956, kb_relative_information_score: 1510.0008, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7729, scimark_benchmark: 1770.0638, usercpu_time_millis: 476.797, usercpu_time_millis_testing: 1.268, usercpu_time_millis_training: 475.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8084, kappa: 0.6135, kb_relative_information_score: 1529.3243, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7617, scimark_benchmark: 1780.3535, usercpu_time_millis: 457.53, usercpu_time_millis_testing: 1.846, usercpu_time_millis_training: 455.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8001, kappa: 0.5969, kb_relative_information_score: 1328.3466, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7828, scimark_benchmark: 778.6864, usercpu_time_millis: 291.59, usercpu_time_millis_testing: 6.028, usercpu_time_millis_training: 285.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.789, kappa: 0.5746, kb_relative_information_score: 1160.0938, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7891, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8067, scimark_benchmark: 1786.8965, usercpu_time_millis: 156.145, usercpu_time_millis_testing: 3.472, usercpu_time_millis_training: 152.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.7525, kappa: 0.5005, kb_relative_information_score: 1088.3319, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8434, scimark_benchmark: 1742.7416, usercpu_time_millis: 260.86, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 259.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7779, kappa: 0.5521, kb_relative_information_score: 1092.3109, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7779, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8166, scimark_benchmark: 1777.9615, usercpu_time_millis: 37.072, usercpu_time_millis_testing: 1.983, usercpu_time_millis_training: 35.089,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7625, kappa: 0.5208, kb_relative_information_score: 1083.5066, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7646, predictive_accuracy: 0.7641, prior_entropy: 0.9948, recall: 0.7641, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8325, scimark_benchmark: 1776.1751, usercpu_time_millis: 196.597, usercpu_time_millis_testing: 1.107, usercpu_time_millis_training: 195.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7962, kappa: 0.5892, kb_relative_information_score: 1696.7789, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7961, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7778, scimark_benchmark: 1810.9793, usercpu_time_millis: 21.583, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 20.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7125, kappa: 0.4199, kb_relative_information_score: 492.2555, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7127, predictive_accuracy: 0.7134, prior_entropy: 0.9948, recall: 0.7134, relative_absolute_error: 0.8964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9154, scimark_benchmark: 779.4845, usercpu_time_millis: 32.893, usercpu_time_millis_testing: 1.716, usercpu_time_millis_training: 31.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.7366, kappa: 0.4702, kb_relative_information_score: 817.8906, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8717, scimark_benchmark: 780.8634, usercpu_time_millis: 98.06, usercpu_time_millis_testing: 2.008, usercpu_time_millis_training: 96.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7273, kappa: 0.4511, kb_relative_information_score: 373.8608, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7358, predictive_accuracy: 0.7318, prior_entropy: 0.9948, recall: 0.7318, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9337, scimark_benchmark: 779.5766, usercpu_time_millis: 48.126, usercpu_time_millis_testing: 1.777, usercpu_time_millis_training: 46.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7758, kappa: 0.5476, kb_relative_information_score: 1079.0121, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.776, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8193, scimark_benchmark: 1759.1791, usercpu_time_millis: 53.49, usercpu_time_millis_testing: 3.048, usercpu_time_millis_training: 50.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7599, kappa: 0.5159, kb_relative_information_score: 942.5741, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8428, scimark_benchmark: 1779.4406, usercpu_time_millis: 11.814, usercpu_time_millis_testing: 1.089, usercpu_time_millis_training: 10.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7142, kappa: 0.4233, kb_relative_information_score: 599.4295, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7146, predictive_accuracy: 0.7153, prior_entropy: 0.9948, recall: 0.7153, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.898, scimark_benchmark: 1781.9005, usercpu_time_millis: 8.165, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 7.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0536, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1748.9623, usercpu_time_millis: 9.963, usercpu_time_millis_testing: 1.362, usercpu_time_millis_training: 8.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7366, kappa: 0.4704, kb_relative_information_score: 873.2317, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8697, scimark_benchmark: 1807.0728, usercpu_time_millis: 44.332, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 43.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.0463, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1787.1987, usercpu_time_millis: 9.006, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 7.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7411, kappa: 0.4777, kb_relative_information_score: 783.146, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7415, predictive_accuracy: 0.7419, prior_entropy: 0.9948, recall: 0.7419, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8647, scimark_benchmark: 1787.7085, usercpu_time_millis: 43.101, usercpu_time_millis_testing: 3.752, usercpu_time_millis_training: 39.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7602, kappa: 0.5164, kb_relative_information_score: 884.0678, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.852, scimark_benchmark: 1861.2565, usercpu_time_millis: 12.893, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 12.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: -0.0876, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1807.047, usercpu_time_millis: 9.911, usercpu_time_millis_testing: 1.481, usercpu_time_millis_training: 8.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7565, kappa: 0.509, kb_relative_information_score: 1365.9098, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8138, scimark_benchmark: 1804.4592, usercpu_time_millis: 4649.786, usercpu_time_millis_testing: 1.967, usercpu_time_millis_training: 4647.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7959, kappa: 0.5884, kb_relative_information_score: 1473.3318, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7961, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7789, scimark_benchmark: 1834.2845, usercpu_time_millis: 2984.594, usercpu_time_millis_testing: 3.68, usercpu_time_millis_training: 2980.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7806, kappa: 0.5573, kb_relative_information_score: 1427.275, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7813, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7942, scimark_benchmark: 1820.3435, usercpu_time_millis: 2078.881, usercpu_time_millis_testing: 1.553, usercpu_time_millis_training: 2077.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7705, kappa: 0.5368, kb_relative_information_score: 1289.8196, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7722, predictive_accuracy: 0.7718, prior_entropy: 0.9948, recall: 0.7718, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8099, scimark_benchmark: 1791.5217, usercpu_time_millis: 2008.662, usercpu_time_millis_testing: 2.667, usercpu_time_millis_training: 2005.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8098, kappa: 0.6163, kb_relative_information_score: 1624.8259, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7537, scimark_benchmark: 1801.0359, usercpu_time_millis: 1908.302, usercpu_time_millis_testing: 2.71, usercpu_time_millis_training: 1905.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7874, kappa: 0.5711, kb_relative_information_score: 1424.8521, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7879, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7888, scimark_benchmark: 1828.8298, usercpu_time_millis: 1888.277, usercpu_time_millis_testing: 2.326, usercpu_time_millis_training: 1885.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.806, kappa: 0.6087, kb_relative_information_score: 1623.4035, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7532, scimark_benchmark: 1775.2515, usercpu_time_millis: 1259.448, usercpu_time_millis_testing: 2.13, usercpu_time_millis_training: 1257.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8078, kappa: 0.6124, kb_relative_information_score: 1714.1963, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7479, scimark_benchmark: 1741.7979, usercpu_time_millis: 1122.226, usercpu_time_millis_testing: 2.294, usercpu_time_millis_training: 1119.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8118, kappa: 0.6204, kb_relative_information_score: 1503.3279, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8119, predictive_accuracy: 0.8121, prior_entropy: 0.9948, recall: 0.8121, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7631, scimark_benchmark: 1818.0688, usercpu_time_millis: 1083.301, usercpu_time_millis_testing: 4.505, usercpu_time_millis_training: 1078.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7595, kappa: 0.5146, kb_relative_information_score: 1239.8009, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8238, scimark_benchmark: 1819.0117, usercpu_time_millis: 1028.697, usercpu_time_millis_testing: 1.81, usercpu_time_millis_training: 1026.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7926, kappa: 0.5817, kb_relative_information_score: 1535.1533, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7748, scimark_benchmark: 1822.5087, usercpu_time_millis: 909.513, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 908.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8108, kappa: 0.6184, kb_relative_information_score: 1666.143, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.746, scimark_benchmark: 785.8565, usercpu_time_millis: 743.62, usercpu_time_millis_testing: 7.522, usercpu_time_millis_training: 736.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8039, kappa: 0.6044, kb_relative_information_score: 1408.9398, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7732, scimark_benchmark: 779.6131, usercpu_time_millis: 680.733, usercpu_time_millis_testing: 6.813, usercpu_time_millis_training: 673.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7647, kappa: 0.5252, kb_relative_information_score: 1212.0814, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7667, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8215, scimark_benchmark: 1772.6585, usercpu_time_millis: 687.855, usercpu_time_millis_testing: 1.508, usercpu_time_millis_training: 686.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7925, kappa: 0.5815, kb_relative_information_score: 1439.4753, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7926, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7806, scimark_benchmark: 785.8365, usercpu_time_millis: 639.048, usercpu_time_millis_testing: 2.522, usercpu_time_millis_training: 636.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8024, kappa: 0.6015, kb_relative_information_score: 1362.2807, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7824, scimark_benchmark: 1786.415, usercpu_time_millis: 514.61, usercpu_time_millis_testing: 2.77, usercpu_time_millis_training: 511.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7997, kappa: 0.5961, kb_relative_information_score: 1664.0985, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7599, scimark_benchmark: 785.8365, usercpu_time_millis: 560.058, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 558.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8066, kappa: 0.61, kb_relative_information_score: 1409.7551, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7754, scimark_benchmark: 782.0076, usercpu_time_millis: 364.616, usercpu_time_millis_testing: 2.61, usercpu_time_millis_training: 362.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7917, kappa: 0.5799, kb_relative_information_score: 1323.2185, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7912, scimark_benchmark: 1735.5194, usercpu_time_millis: 251.699, usercpu_time_millis_testing: 2.049, usercpu_time_millis_training: 249.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8023, kappa: 0.6013, kb_relative_information_score: 1448.2603, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7719, scimark_benchmark: 1796.4065, usercpu_time_millis: 205.905, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 204.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8046, kappa: 0.606, kb_relative_information_score: 1389.5241, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8046, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7724, scimark_benchmark: 1741.4808, usercpu_time_millis: 206.395, usercpu_time_millis_testing: 4.787, usercpu_time_millis_training: 201.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8094, kappa: 0.6156, kb_relative_information_score: 1511.2441, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.759, scimark_benchmark: 1766.9026, usercpu_time_millis: 165.14, usercpu_time_millis_testing: 2.019, usercpu_time_millis_training: 163.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7501, kappa: 0.4958, kb_relative_information_score: 865.8527, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7506, predictive_accuracy: 0.751, prior_entropy: 0.9948, recall: 0.751, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8577, scimark_benchmark: 1823.6559, usercpu_time_millis: 152.526, usercpu_time_millis_testing: 1.917, usercpu_time_millis_training: 150.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.79, kappa: 0.5765, kb_relative_information_score: 1257.1401, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7902, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8009, scimark_benchmark: 1791.2582, usercpu_time_millis: 123.995, usercpu_time_millis_testing: 1.686, usercpu_time_millis_training: 122.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8087, kappa: 0.6141, kb_relative_information_score: 1563.058, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.809, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7564, scimark_benchmark: 1867.1483, usercpu_time_millis: 132.85, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 131.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7744, kappa: 0.5449, kb_relative_information_score: 1133.6569, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7747, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8194, scimark_benchmark: 784.9356, usercpu_time_millis: 48.445, usercpu_time_millis_testing: 1.576, usercpu_time_millis_training: 46.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7397, kappa: 0.4747, kb_relative_information_score: 758.9163, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7406, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8688, scimark_benchmark: 787.5063, usercpu_time_millis: 51.87, usercpu_time_millis_testing: 3.437, usercpu_time_millis_training: 48.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.806, kappa: 0.6087, kb_relative_information_score: 1473.2038, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7685, scimark_benchmark: 1780.5642, usercpu_time_millis: 69.63, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 68.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7768, kappa: 0.5501, kb_relative_information_score: 1119.3017, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7768, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8185, scimark_benchmark: 786.6631, usercpu_time_millis: 13.649, usercpu_time_millis_testing: 1.549, usercpu_time_millis_training: 12.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.701, kappa: 0.3976, kb_relative_information_score: 506.802, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7067, predictive_accuracy: 0.7051, prior_entropy: 0.9948, recall: 0.7051, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9109, scimark_benchmark: 1788.6154, usercpu_time_millis: 27.439, usercpu_time_millis_testing: 2.585, usercpu_time_millis_training: 24.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1319, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1779.9916, usercpu_time_millis: 6.006, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 4.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7547, kappa: 0.5051, kb_relative_information_score: 1215.2075, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7552, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1800.2473, usercpu_time_millis: 84.67, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 83.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1771, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1769.8552, usercpu_time_millis: 4.8, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.073, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 786.9975, usercpu_time_millis: 13.287, usercpu_time_millis_testing: 1.907, usercpu_time_millis_training: 11.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1609, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1773.4205, usercpu_time_millis: 7.264, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 6.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.135, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1774.6744, usercpu_time_millis: 6.348, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 5.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1884, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1824.1512, usercpu_time_millis: 7.365, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 6.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8009, kappa: 0.5985, kb_relative_information_score: 1574.4217, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.766, scimark_benchmark: 1849.8294, usercpu_time_millis: 8086.664, usercpu_time_millis_testing: 3.66, usercpu_time_millis_training: 8083.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7815, kappa: 0.5592, kb_relative_information_score: 1457.2972, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7889, scimark_benchmark: 1853.9121, usercpu_time_millis: 5120.546, usercpu_time_millis_testing: 2.057, usercpu_time_millis_training: 5118.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.799, kappa: 0.5946, kb_relative_information_score: 1547.7249, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6227, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7684, scimark_benchmark: 1855.4813, usercpu_time_millis: 3450.697, usercpu_time_millis_testing: 2.976, usercpu_time_millis_training: 3447.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8066, kappa: 0.6098, kb_relative_information_score: 1644.7472, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7533, scimark_benchmark: 1853.9121, usercpu_time_millis: 3140.801, usercpu_time_millis_testing: 3.399, usercpu_time_millis_training: 3137.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8026, kappa: 0.6019, kb_relative_information_score: 1559.5501, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7648, scimark_benchmark: 1852.0126, usercpu_time_millis: 2705.102, usercpu_time_millis_testing: 2.713, usercpu_time_millis_training: 2702.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8073, kappa: 0.6114, kb_relative_information_score: 1581.0081, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7571, scimark_benchmark: 1854.4951, usercpu_time_millis: 1814.947, usercpu_time_millis_testing: 3.301, usercpu_time_millis_training: 1811.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.75, kappa: 0.4956, kb_relative_information_score: 1295.8756, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8242, scimark_benchmark: 1850.8706, usercpu_time_millis: 1228.841, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 1227.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8058, kappa: 0.6083, kb_relative_information_score: 1565.421, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7591, scimark_benchmark: 1853.9121, usercpu_time_millis: 1135.434, usercpu_time_millis_testing: 2.616, usercpu_time_millis_training: 1132.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.789, kappa: 0.5744, kb_relative_information_score: 1478.8898, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7891, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.783, scimark_benchmark: 1853.454, usercpu_time_millis: 1057.12, usercpu_time_millis_testing: 1.522, usercpu_time_millis_training: 1055.598,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs