Task
Supervised Classification on mbagrade

Supervised Classification on mbagrade

Task 4455 Supervised Classification mbagrade 207 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6649, kappa: 0.3278, kb_relative_information_score: 0.2157, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4988, weighted_recall: 0.6656, number_of_instances: 610, precision: 0.6652, predictive_accuracy: 0.6656, prior_entropy: 0.9983, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9147, scimark_benchmark: 979.7764, unweighted_recall: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5649, kappa: 0.1272, kb_relative_information_score: 0.1497, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4988, weighted_recall: 0.5656, number_of_instances: 610, precision: 0.5648, predictive_accuracy: 0.5656, prior_entropy: 0.9983, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0663, scimark_benchmark: 964.8373, unweighted_recall: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, f_measure: 0.5867, kappa: 0.2121, kb_relative_information_score: 49.887, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6419, predictive_accuracy: 0.6164, prior_entropy: 0.9984, recall: 0.6164, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9941, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.5741, kappa: 0.1468, kb_relative_information_score: 96.5614, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.5756, predictive_accuracy: 0.577, prior_entropy: 0.9984, recall: 0.577, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9443, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.5736, kappa: 0.148, kb_relative_information_score: 95.9659, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.5774, predictive_accuracy: 0.5787, prior_entropy: 0.9984, recall: 0.5787, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.026, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.4485, kappa: -0.1059, kb_relative_information_score: -62.2627, mean_absolute_error: 0.5492, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.448, predictive_accuracy: 0.4508, prior_entropy: 0.9984, recall: 0.4508, relative_absolute_error: 1.1009, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7411, root_relative_squared_error: 1.4839, scimark_benchmark: 904.0772, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.6026, kappa: 0.248, kb_relative_information_score: 53.735, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6731, predictive_accuracy: 0.6344, prior_entropy: 0.9984, recall: 0.6344, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9836, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.6014, kappa: 0.204, kb_relative_information_score: 79.3268, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6066, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9629, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.671, kappa: 0.3401, kb_relative_information_score: 121.4885, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6719, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9097, scimark_benchmark: 934.2976, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5702, f_measure: 0.5695, kappa: 0.173, kb_relative_information_score: 49.9066, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6112, predictive_accuracy: 0.5967, prior_entropy: 0.9984, recall: 0.5967, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0004, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5649, kappa: 0.1272, kb_relative_information_score: 91.2803, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.5648, predictive_accuracy: 0.5656, prior_entropy: 0.9984, recall: 0.5656, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0663, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.4485, kappa: -0.1059, kb_relative_information_score: -62.2627, mean_absolute_error: 0.5492, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.448, predictive_accuracy: 0.4508, prior_entropy: 0.9984, recall: 0.4508, relative_absolute_error: 1.1009, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7411, root_relative_squared_error: 1.4839, scimark_benchmark: 938.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.4485, kappa: -0.1059, kb_relative_information_score: -62.2627, mean_absolute_error: 0.5492, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.448, predictive_accuracy: 0.4508, prior_entropy: 0.9984, recall: 0.4508, relative_absolute_error: 1.1009, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7411, root_relative_squared_error: 1.4839, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5649, kappa: 0.1272, kb_relative_information_score: 91.2803, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.5648, predictive_accuracy: 0.5656, prior_entropy: 0.9984, recall: 0.5656, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0663, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, f_measure: 0.5867, kappa: 0.2121, kb_relative_information_score: 49.887, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6419, predictive_accuracy: 0.6164, prior_entropy: 0.9984, recall: 0.6164, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9941, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.5741, kappa: 0.1468, kb_relative_information_score: 96.5614, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.5756, predictive_accuracy: 0.577, prior_entropy: 0.9984, recall: 0.577, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9443, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.5736, kappa: 0.148, kb_relative_information_score: 95.9659, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.5774, predictive_accuracy: 0.5787, prior_entropy: 0.9984, recall: 0.5787, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.026, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.4485, kappa: -0.1059, kb_relative_information_score: -62.2627, mean_absolute_error: 0.5492, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.448, predictive_accuracy: 0.4508, prior_entropy: 0.9984, recall: 0.4508, relative_absolute_error: 1.1009, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7411, root_relative_squared_error: 1.4839, scimark_benchmark: 943.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.4485, kappa: -0.1059, kb_relative_information_score: -62.2627, mean_absolute_error: 0.5492, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.448, predictive_accuracy: 0.4508, prior_entropy: 0.9984, recall: 0.4508, relative_absolute_error: 1.1009, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7411, root_relative_squared_error: 1.4839, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.6026, kappa: 0.248, kb_relative_information_score: 53.735, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6731, predictive_accuracy: 0.6344, prior_entropy: 0.9984, recall: 0.6344, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9836, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.6026, kappa: 0.248, kb_relative_information_score: 53.735, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6731, predictive_accuracy: 0.6344, prior_entropy: 0.9984, recall: 0.6344, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9836, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.6014, kappa: 0.204, kb_relative_information_score: 79.3268, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6066, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9629, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.671, kappa: 0.3401, kb_relative_information_score: 121.4885, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6719, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9097, scimark_benchmark: 919.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.6026, kappa: 0.248, kb_relative_information_score: 53.735, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6731, predictive_accuracy: 0.6344, prior_entropy: 0.9984, recall: 0.6344, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9836, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5702, f_measure: 0.5695, kappa: 0.173, kb_relative_information_score: 49.9066, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6112, predictive_accuracy: 0.5967, prior_entropy: 0.9984, recall: 0.5967, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0004, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5649, kappa: 0.1272, kb_relative_information_score: 91.2803, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.5648, predictive_accuracy: 0.5656, prior_entropy: 0.9984, recall: 0.5656, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0663, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, f_measure: 0.6171, kappa: 0.2639, kb_relative_information_score: 96.8636, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6683, predictive_accuracy: 0.641, prior_entropy: 0.9984, recall: 0.641, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9438, scimark_benchmark: 935.5664, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.6199, kappa: 0.2732, kb_relative_information_score: 97.7977, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6793, predictive_accuracy: 0.6459, prior_entropy: 0.9984, recall: 0.6459, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9432, scimark_benchmark: 934.7923, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.6234, kappa: 0.2771, kb_relative_information_score: 95.4338, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6781, predictive_accuracy: 0.6475, prior_entropy: 0.9984, recall: 0.6475, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9445, scimark_benchmark: 921.466, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.6277, kappa: 0.2896, kb_relative_information_score: 95.9279, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6925, predictive_accuracy: 0.6541, prior_entropy: 0.9984, recall: 0.6541, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9464, scimark_benchmark: 921.2615, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6206, kappa: 0.2706, kb_relative_information_score: 91.5095, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6725, predictive_accuracy: 0.6443, prior_entropy: 0.9984, recall: 0.6443, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9513, scimark_benchmark: 914.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.6595, kappa: 0.3291, kb_relative_information_score: 126.1714, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6837, predictive_accuracy: 0.6705, prior_entropy: 0.9984, recall: 0.6705, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9567, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.6595, kappa: 0.3291, kb_relative_information_score: 126.1714, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6837, predictive_accuracy: 0.6705, prior_entropy: 0.9984, recall: 0.6705, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9567, scimark_benchmark: 930.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.6595, kappa: 0.3291, kb_relative_information_score: 126.1714, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6837, predictive_accuracy: 0.6705, prior_entropy: 0.9984, recall: 0.6705, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9567, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.6595, kappa: 0.3291, kb_relative_information_score: 126.1714, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6837, predictive_accuracy: 0.6705, prior_entropy: 0.9984, recall: 0.6705, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9567, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.6595, kappa: 0.3291, kb_relative_information_score: 126.1714, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6837, predictive_accuracy: 0.6705, prior_entropy: 0.9984, recall: 0.6705, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9567, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4591, f_measure: 0.361, kb_relative_information_score: -1.0781, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.2752, predictive_accuracy: 0.5246, prior_entropy: 0.9984, recall: 0.5246, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0012, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6318, kappa: 0.2642, kb_relative_information_score: 150.0209, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.637, predictive_accuracy: 0.6361, prior_entropy: 0.9984, recall: 0.6361, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.0904, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.6425, kappa: 0.2866, kb_relative_information_score: 153.6234, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6498, predictive_accuracy: 0.6475, prior_entropy: 0.9984, recall: 0.6475, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.0595, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.6026, kappa: 0.248, kb_relative_information_score: 53.735, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6731, predictive_accuracy: 0.6344, prior_entropy: 0.9984, recall: 0.6344, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9836, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.671, kappa: 0.3401, kb_relative_information_score: 121.4885, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6719, predictive_accuracy: 0.6721, prior_entropy: 0.9984, recall: 0.6721, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9097, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.6026, kappa: 0.248, kb_relative_information_score: 53.735, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6731, predictive_accuracy: 0.6344, prior_entropy: 0.9984, recall: 0.6344, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9836, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5649, kappa: 0.1272, kb_relative_information_score: 91.2803, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.5648, predictive_accuracy: 0.5656, prior_entropy: 0.9984, recall: 0.5656, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0663, scimark_benchmark: 1343.3311, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5394, f_measure: 0.591, kappa: 0.2191, kb_relative_information_score: 52.0624, mean_absolute_error: 0.465, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6453, predictive_accuracy: 0.6197, prior_entropy: 0.9984, recall: 0.6197, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9841, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.6026, kappa: 0.248, kb_relative_information_score: 53.735, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6731, predictive_accuracy: 0.6344, prior_entropy: 0.9984, recall: 0.6344, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9836, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.6026, kappa: 0.248, kb_relative_information_score: 53.735, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6731, predictive_accuracy: 0.6344, prior_entropy: 0.9984, recall: 0.6344, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9836, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5702, f_measure: 0.5695, kappa: 0.173, kb_relative_information_score: 49.9066, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6112, predictive_accuracy: 0.5967, prior_entropy: 0.9984, recall: 0.5967, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0004, scimark_benchmark: 1322.1893, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5649, kappa: 0.1272, kb_relative_information_score: 91.2803, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.5648, predictive_accuracy: 0.5656, prior_entropy: 0.9984, recall: 0.5656, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0663, scimark_benchmark: 1332.6745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.5736, kappa: 0.148, kb_relative_information_score: 95.9659, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.5774, predictive_accuracy: 0.5787, prior_entropy: 0.9984, recall: 0.5787, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.026, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.6803, kappa: 0.3591, kb_relative_information_score: 122.0932, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6823, predictive_accuracy: 0.682, prior_entropy: 0.9984, recall: 0.682, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9149, scimark_benchmark: 1337.1928, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.6026, kappa: 0.248, kb_relative_information_score: 53.735, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6731, predictive_accuracy: 0.6344, prior_entropy: 0.9984, recall: 0.6344, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9836, scimark_benchmark: 1336.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.6014, kappa: 0.204, kb_relative_information_score: 79.3268, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6066, predictive_accuracy: 0.6066, prior_entropy: 0.9984, recall: 0.6066, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9629, scimark_benchmark: 1335.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5702, f_measure: 0.5695, kappa: 0.173, kb_relative_information_score: 49.9066, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6112, predictive_accuracy: 0.5967, prior_entropy: 0.9984, recall: 0.5967, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0004, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5649, kappa: 0.1272, kb_relative_information_score: 91.2803, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.5648, predictive_accuracy: 0.5656, prior_entropy: 0.9984, recall: 0.5656, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0663, scimark_benchmark: 1313.9976, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.5741, kappa: 0.1468, kb_relative_information_score: 96.5614, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.5756, predictive_accuracy: 0.577, prior_entropy: 0.9984, recall: 0.577, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9443, scimark_benchmark: 1351.5471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.6026, kappa: 0.248, kb_relative_information_score: 53.735, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.6731, predictive_accuracy: 0.6344, prior_entropy: 0.9984, recall: 0.6344, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9836, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.5886, kappa: 0.1798, kb_relative_information_score: 75.4727, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4988, number_of_instances: 610, precision: 0.595, predictive_accuracy: 0.5951, prior_entropy: 0.9984, recall: 0.5951, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.957, scimark_benchmark: 1353.5464, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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