OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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66544 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9492, kappa: 0.8015, kb_relative_information_score: 4704.7277, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.949, predictive_accuracy: 0.9503, prior_entropy: 0.6204, recall: 0.9503, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9956, kappa: 0.9832, kb_relative_information_score: 6372.9363, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.6204, recall: 0.9956, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9816, kappa: 0.9289, kb_relative_information_score: 6017.8354, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9817, predictive_accuracy: 0.9818, prior_entropy: 0.6204, recall: 0.9818, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.2937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6541.1842, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.033, root_relative_squared_error: 0.0914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9806, kappa: 0.9249, kb_relative_information_score: 5991.8162, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9806, predictive_accuracy: 0.9808, prior_entropy: 0.6204, recall: 0.9808, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.3014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9961, kappa: 0.9849, kb_relative_information_score: 6415.675, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.6204, recall: 0.9961, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6562.5595, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0161, root_relative_squared_error: 0.0445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.964, kappa: 0.8602, kb_relative_information_score: 5172.521, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9639, predictive_accuracy: 0.9645, prior_entropy: 0.6204, recall: 0.9645, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.9192, kappa: 0.672, kb_relative_information_score: 3499.3714, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9215, predictive_accuracy: 0.9247, prior_entropy: 0.6204, recall: 0.9247, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.4815, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9631, kappa: 0.8565, kb_relative_information_score: 5160.8617, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.963, predictive_accuracy: 0.9636, prior_entropy: 0.6204, recall: 0.9636, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.4636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6505.7583, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0145, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.0713, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.016, root_relative_squared_error: 0.0442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9195, kappa: 0.673, kb_relative_information_score: 3494.0946, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9219, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6558.0731, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.025, root_relative_squared_error: 0.0691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6578.6095, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0095, root_relative_squared_error: 0.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6494.187, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6573.3151, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0187, root_relative_squared_error: 0.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9809, kappa: 0.9261, kb_relative_information_score: 5847.3166, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9809, predictive_accuracy: 0.9811, prior_entropy: 0.6204, recall: 0.9811, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.3404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9814, kb_relative_information_score: 6394.3577, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6204, recall: 0.9952, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.061, root_relative_squared_error: 0.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9632, kappa: 0.8556, kb_relative_information_score: 5150.804, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9634, predictive_accuracy: 0.9641, prior_entropy: 0.6204, recall: 0.9641, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.164, root_relative_squared_error: 0.4543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6532.7338, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0298, root_relative_squared_error: 0.0824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.363, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0157, root_relative_squared_error: 0.0436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.9808, kb_relative_information_score: 6374.0472, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.6204, recall: 0.995, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9585, kappa: 0.8369, kb_relative_information_score: 4888.1808, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9587, predictive_accuracy: 0.9595, prior_entropy: 0.6204, recall: 0.9595, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9797, kappa: 0.9218, kb_relative_information_score: 5855.5205, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9797, predictive_accuracy: 0.9798, prior_entropy: 0.6204, recall: 0.9798, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.3341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9657, kappa: 0.8662, kb_relative_information_score: 5193.0036, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9656, predictive_accuracy: 0.9662, prior_entropy: 0.6204, recall: 0.9662, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3495.1534, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9217, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.95, kappa: 0.8016, kb_relative_information_score: 4712.2665, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9509, predictive_accuracy: 0.952, prior_entropy: 0.6204, recall: 0.952, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9495, kappa: 0.8026, kb_relative_information_score: 4727.3251, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9493, predictive_accuracy: 0.9506, prior_entropy: 0.6204, recall: 0.9506, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.5334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9919, kappa: 0.969, kb_relative_information_score: 6293.7988, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.6204, recall: 0.992, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2494.491, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.8888, kappa: 0.5241, kb_relative_information_score: 2453.79, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9159, predictive_accuracy: 0.9066, prior_entropy: 0.6204, recall: 0.9066, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9751, kappa: 0.9032, kb_relative_information_score: 5602.7914, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9751, predictive_accuracy: 0.9754, prior_entropy: 0.6204, recall: 0.9754, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.3751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.8908, kappa: 0.5333, kb_relative_information_score: 2482.671, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.917, predictive_accuracy: 0.908, prior_entropy: 0.6204, recall: 0.908, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.7832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.8904, kappa: 0.5313, kb_relative_information_score: 2467.7479, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9168, predictive_accuracy: 0.9077, prior_entropy: 0.6204, recall: 0.9077, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.7889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2462.2423, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8904, kappa: 0.5313, kb_relative_information_score: 2467.9542, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9168, predictive_accuracy: 0.9077, prior_entropy: 0.6204, recall: 0.9077, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9756, kappa: 0.9057, kb_relative_information_score: 5627.5622, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.6204, recall: 0.9759, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.8904, kappa: 0.5313, kb_relative_information_score: 2660.9209, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9168, predictive_accuracy: 0.9077, prior_entropy: 0.6204, recall: 0.9077, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.7873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2458.9533, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.7901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8942, kappa: 0.5498, kb_relative_information_score: 2895.3341, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9169, predictive_accuracy: 0.91, prior_entropy: 0.6204, recall: 0.91, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.7707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8971, kappa: 0.5659, kb_relative_information_score: 3084.8945, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9119, predictive_accuracy: 0.9104, prior_entropy: 0.6204, recall: 0.9104, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.7474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2623.1151, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.7908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2622.4037, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.791,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2630.1348, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.7898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.889, kappa: 0.5251, kb_relative_information_score: 2609.5312, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.916, predictive_accuracy: 0.9068, prior_entropy: 0.6204, recall: 0.9068, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.7928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.8888, kappa: 0.5241, kb_relative_information_score: 2607.6025, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9159, predictive_accuracy: 0.9066, prior_entropy: 0.6204, recall: 0.9066, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2622.3813, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.8806, kappa: 0.4864, kb_relative_information_score: 2430.6294, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9115, predictive_accuracy: 0.9012, prior_entropy: 0.6204, recall: 0.9012, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.8877, kappa: 0.5189, kb_relative_information_score: 2594.8438, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9153, predictive_accuracy: 0.9059, prior_entropy: 0.6204, recall: 0.9059, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.7966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9692, kb_relative_information_score: 6279.4913, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9922, predictive_accuracy: 0.9921, prior_entropy: 0.6204, recall: 0.9921, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.2166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9715, kappa: 0.8895, kb_relative_information_score: 5083.4909, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9714, predictive_accuracy: 0.9718, prior_entropy: 0.6204, recall: 0.9718, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5283.2097, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9715, kappa: 0.8895, kb_relative_information_score: 5083.4909, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9714, predictive_accuracy: 0.9718, prior_entropy: 0.6204, recall: 0.9718, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9691, kappa: 0.8785, kb_relative_information_score: 4676.214, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9695, predictive_accuracy: 0.9698, prior_entropy: 0.6204, recall: 0.9698, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9746, kappa: 0.9009, kb_relative_information_score: 4996.5754, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9747, predictive_accuracy: 0.975, prior_entropy: 0.6204, recall: 0.975, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9741, kappa: 0.8991, kb_relative_information_score: 4966.439, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9742, predictive_accuracy: 0.9745, prior_entropy: 0.6204, recall: 0.9745, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9717, kappa: 0.8893, kb_relative_information_score: 4810.0844, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9719, predictive_accuracy: 0.9723, prior_entropy: 0.6204, recall: 0.9723, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.155, root_relative_squared_error: 0.4293,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5269.7986, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5269.7986, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.973, kappa: 0.8948, kb_relative_information_score: 4879.6273, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.6204, recall: 0.9735, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9667, kappa: 0.8691, kb_relative_information_score: 4528.704, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9672, predictive_accuracy: 0.9676, prior_entropy: 0.6204, recall: 0.9676, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.971, kappa: 0.8866, kb_relative_information_score: 4786.5036, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9713, predictive_accuracy: 0.9717, prior_entropy: 0.6204, recall: 0.9717, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.4313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9678, kappa: 0.8735, kb_relative_information_score: 4616.6352, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9683, predictive_accuracy: 0.9686, prior_entropy: 0.6204, recall: 0.9686, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.4467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9678, kappa: 0.8735, kb_relative_information_score: 4616.6352, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9683, predictive_accuracy: 0.9686, prior_entropy: 0.6204, recall: 0.9686, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.4467,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9717, kappa: 0.8893, kb_relative_information_score: 4810.0844, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9719, predictive_accuracy: 0.9723, prior_entropy: 0.6204, recall: 0.9723, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.155, root_relative_squared_error: 0.4293,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9678, kappa: 0.8735, kb_relative_information_score: 4597.9726, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9683, predictive_accuracy: 0.9686, prior_entropy: 0.6204, recall: 0.9686, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.4485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9731, kappa: 0.8956, kb_relative_information_score: 5056.9705, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.6204, recall: 0.9735, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9741, kappa: 0.8991, kb_relative_information_score: 4966.439, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9742, predictive_accuracy: 0.9745, prior_entropy: 0.6204, recall: 0.9745, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.973, kappa: 0.8948, kb_relative_information_score: 4879.6273, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.6204, recall: 0.9735, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9704, kappa: 0.8838, kb_relative_information_score: 4718.7201, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9708, predictive_accuracy: 0.9711, prior_entropy: 0.6204, recall: 0.9711, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9721, kappa: 0.891, kb_relative_information_score: 4856.2201, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9722, predictive_accuracy: 0.9726, prior_entropy: 0.6204, recall: 0.9726, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9738, kappa: 0.8977, kb_relative_information_score: 4934.3101, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9739, predictive_accuracy: 0.9742, prior_entropy: 0.6204, recall: 0.9742, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9741, kappa: 0.8991, kb_relative_information_score: 4966.439, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9742, predictive_accuracy: 0.9745, prior_entropy: 0.6204, recall: 0.9745, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9721, kappa: 0.891, kb_relative_information_score: 4856.2201, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9722, predictive_accuracy: 0.9726, prior_entropy: 0.6204, recall: 0.9726, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5283.2097, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9689, kappa: 0.878, kb_relative_information_score: 4655.8049, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9694, predictive_accuracy: 0.9697, prior_entropy: 0.6204, recall: 0.9697, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.16, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5283.2097, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9746, kappa: 0.9009, kb_relative_information_score: 4996.5754, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9747, predictive_accuracy: 0.975, prior_entropy: 0.6204, recall: 0.975, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9704, kappa: 0.8838, kb_relative_information_score: 4718.7201, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9708, predictive_accuracy: 0.9711, prior_entropy: 0.6204, recall: 0.9711, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5283.2097, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5106.6485, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.971, kappa: 0.8866, kb_relative_information_score: 4763.1198, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9713, predictive_accuracy: 0.9717, prior_entropy: 0.6204, recall: 0.9717, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9681, kappa: 0.8748, kb_relative_information_score: 4635.9244, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9686, predictive_accuracy: 0.9689, prior_entropy: 0.6204, recall: 0.9689, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9736, kappa: 0.8971, kb_relative_information_score: 4905.4796, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9738, predictive_accuracy: 0.9741, prior_entropy: 0.6204, recall: 0.9741, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.4215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.971, kappa: 0.8866, kb_relative_information_score: 4763.1198, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9713, predictive_accuracy: 0.9717, prior_entropy: 0.6204, recall: 0.9717, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5136.1364, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4506,

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