Task
Supervised Classification on pasture

Supervised Classification on pasture

Task 4203 Supervised Classification pasture 179 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7538, kappa: 0.6333, kb_relative_information_score: 235.1689, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7581, predictive_accuracy: 0.7556, prior_entropy: 1.585, recall: 0.7556, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8056, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7222, kappa: 0.5833, kb_relative_information_score: 219.6187, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7222, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8871, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.2693, kappa: -0.0917, kb_relative_information_score: 1.3036, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.2725, predictive_accuracy: 0.2722, prior_entropy: 1.585, recall: 0.2722, relative_absolute_error: 1.0917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.4776, scimark_benchmark: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.2693, kappa: -0.0917, kb_relative_information_score: 1.3036, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.2725, predictive_accuracy: 0.2722, prior_entropy: 1.585, recall: 0.2722, relative_absolute_error: 1.0917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.4776, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.7879, kappa: 0.6875, kb_relative_information_score: 206.1049, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7883, predictive_accuracy: 0.7917, prior_entropy: 1.585, recall: 0.7917, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6893, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7236, kappa: 0.5792, kb_relative_information_score: 205.8888, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7347, predictive_accuracy: 0.7194, prior_entropy: 1.585, recall: 0.7194, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8151, scimark_benchmark: 931.771, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.2693, kappa: -0.0917, kb_relative_information_score: 1.3036, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.2725, predictive_accuracy: 0.2722, prior_entropy: 1.585, recall: 0.2722, relative_absolute_error: 1.0917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.4776, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.817, kappa: 0.725, kb_relative_information_score: 202.2061, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8177, predictive_accuracy: 0.8167, prior_entropy: 1.585, recall: 0.8167, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6635, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7538, kappa: 0.6333, kb_relative_information_score: 235.1689, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7581, predictive_accuracy: 0.7556, prior_entropy: 1.585, recall: 0.7556, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8056, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7194, kappa: 0.5792, kb_relative_information_score: 218.8016, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7194, predictive_accuracy: 0.7194, prior_entropy: 1.585, recall: 0.7194, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8896, scimark_benchmark: 608.4057, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.2693, kappa: -0.0917, kb_relative_information_score: 1.3036, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.2725, predictive_accuracy: 0.2722, prior_entropy: 1.585, recall: 0.2722, relative_absolute_error: 1.0917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.4776, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.2693, kappa: -0.0917, kb_relative_information_score: 1.3036, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.2725, predictive_accuracy: 0.2722, prior_entropy: 1.585, recall: 0.2722, relative_absolute_error: 1.0917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.4776, scimark_benchmark: 934.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.7879, kappa: 0.6875, kb_relative_information_score: 206.1049, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7883, predictive_accuracy: 0.7917, prior_entropy: 1.585, recall: 0.7917, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6893, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7236, kappa: 0.5792, kb_relative_information_score: 205.8888, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7347, predictive_accuracy: 0.7194, prior_entropy: 1.585, recall: 0.7194, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8151, scimark_benchmark: 903.2737, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.817, kappa: 0.725, kb_relative_information_score: 202.2061, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8177, predictive_accuracy: 0.8167, prior_entropy: 1.585, recall: 0.8167, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6635, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8312, kappa: 0.75, kb_relative_information_score: 211.0736, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8305, predictive_accuracy: 0.8333, prior_entropy: 1.585, recall: 0.8333, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6592, scimark_benchmark: 972.587, usercpu_time_millis: 710, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8164, kappa: 0.7292, kb_relative_information_score: 208.1113, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8151, predictive_accuracy: 0.8194, prior_entropy: 1.585, recall: 0.8194, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6683, scimark_benchmark: 941.7587, usercpu_time_millis: 250, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8036, kappa: 0.7083, kb_relative_information_score: 207.9968, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8023, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6716, scimark_benchmark: 945.5968, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.7955, kappa: 0.7, kb_relative_information_score: 206.2922, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7947, predictive_accuracy: 0.8, prior_entropy: 1.585, recall: 0.8, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6853, scimark_benchmark: 908.4147, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.773, kappa: 0.6625, kb_relative_information_score: 208.0101, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7717, predictive_accuracy: 0.775, prior_entropy: 1.585, recall: 0.775, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6885, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.2, kappa: -0.0833, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.1786, predictive_accuracy: 0.2778, prior_entropy: 1.585, recall: 0.2778, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.005, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8049, kappa: 0.7083, kb_relative_information_score: 263.7586, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8075, predictive_accuracy: 0.8056, prior_entropy: 1.585, recall: 0.8056, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7401, scimark_benchmark: 894.7131, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8106, kappa: 0.7167, kb_relative_information_score: 265.7303, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8126, predictive_accuracy: 0.8111, prior_entropy: 1.585, recall: 0.8111, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.7216, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.7747, kappa: 0.6625, kb_relative_information_score: 248.9462, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7756, predictive_accuracy: 0.775, prior_entropy: 1.585, recall: 0.775, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7626, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7831, kappa: 0.675, kb_relative_information_score: 245.7211, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7839, predictive_accuracy: 0.7833, prior_entropy: 1.585, recall: 0.7833, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.7415, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.725, kappa: 0.5875, kb_relative_information_score: 215.8434, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.725, predictive_accuracy: 0.725, prior_entropy: 1.585, recall: 0.725, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7826, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4583, f_measure: 0.2, kappa: -0.0833, kb_relative_information_score: 4.0417, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.1786, predictive_accuracy: 0.2778, prior_entropy: 1.585, recall: 0.2778, relative_absolute_error: 1.0833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6939, root_relative_squared_error: 1.472, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.7705, kappa: 0.6583, kb_relative_information_score: 224.0027, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7692, predictive_accuracy: 0.7722, prior_entropy: 1.585, recall: 0.7722, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7232, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.7619, kappa: 0.65, kb_relative_information_score: 168.75, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7608, predictive_accuracy: 0.7667, prior_entropy: 1.585, recall: 0.7667, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.74, scimark_benchmark: 923.7471, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.693, kappa: 0.5417, kb_relative_information_score: 100.6373, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7138, predictive_accuracy: 0.6944, prior_entropy: 1.585, recall: 0.6944, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8802, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7538, kappa: 0.6333, kb_relative_information_score: 235.1689, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7581, predictive_accuracy: 0.7556, prior_entropy: 1.585, recall: 0.7556, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8056, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7222, kappa: 0.5833, kb_relative_information_score: 219.6187, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7222, predictive_accuracy: 0.7222, prior_entropy: 1.585, recall: 0.7222, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8871, scimark_benchmark: 903.4813, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.2693, kappa: -0.0917, kb_relative_information_score: 1.3036, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.2725, predictive_accuracy: 0.2722, prior_entropy: 1.585, recall: 0.2722, relative_absolute_error: 1.0917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.4776, scimark_benchmark: 944.5341,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7236, kappa: 0.5792, kb_relative_information_score: 205.8888, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7347, predictive_accuracy: 0.7194, prior_entropy: 1.585, recall: 0.7194, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8151, scimark_benchmark: 1332.7986, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7236, kappa: 0.5792, kb_relative_information_score: 205.8888, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7347, predictive_accuracy: 0.7194, prior_entropy: 1.585, recall: 0.7194, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8151, scimark_benchmark: 1352.3373, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.817, kappa: 0.725, kb_relative_information_score: 202.2061, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8177, predictive_accuracy: 0.8167, prior_entropy: 1.585, recall: 0.8167, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6635, scimark_benchmark: 1397.3209, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.2693, kappa: -0.0917, kb_relative_information_score: 1.3036, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.2725, predictive_accuracy: 0.2722, prior_entropy: 1.585, recall: 0.2722, relative_absolute_error: 1.0917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.4776, scimark_benchmark: 1336.924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.7879, kappa: 0.6875, kb_relative_information_score: 206.1049, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7883, predictive_accuracy: 0.7917, prior_entropy: 1.585, recall: 0.7917, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6893, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.817, kappa: 0.725, kb_relative_information_score: 202.2061, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8177, predictive_accuracy: 0.8167, prior_entropy: 1.585, recall: 0.8167, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6635, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.7847, kappa: 0.675, kb_relative_information_score: 248.316, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7867, predictive_accuracy: 0.7833, prior_entropy: 1.585, recall: 0.7833, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.344, root_relative_squared_error: 0.7298, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7236, kappa: 0.5792, kb_relative_information_score: 205.8888, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7347, predictive_accuracy: 0.7194, prior_entropy: 1.585, recall: 0.7194, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8151, scimark_benchmark: 940.3347, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.817, kappa: 0.725, kb_relative_information_score: 202.2061, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.8177, predictive_accuracy: 0.8167, prior_entropy: 1.585, recall: 0.8167, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6635, scimark_benchmark: 1278.6629, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7236, kappa: 0.5792, kb_relative_information_score: 205.8888, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7347, predictive_accuracy: 0.7194, prior_entropy: 1.585, recall: 0.7194, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8151, scimark_benchmark: 1297.2338, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.7847, kappa: 0.675, kb_relative_information_score: 248.316, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7867, predictive_accuracy: 0.7833, prior_entropy: 1.585, recall: 0.7833, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.344, root_relative_squared_error: 0.7298, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7816, kappa: 0.6708, kb_relative_information_score: 246.2753, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7836, predictive_accuracy: 0.7806, prior_entropy: 1.585, recall: 0.7806, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7244, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7538, kappa: 0.6333, kb_relative_information_score: 235.1689, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7581, predictive_accuracy: 0.7556, prior_entropy: 1.585, recall: 0.7556, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8056, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.7879, kappa: 0.6875, kb_relative_information_score: 206.1049, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4444, number_of_instances: 360, precision: 0.7883, predictive_accuracy: 0.7917, prior_entropy: 1.585, recall: 0.7917, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6893, scimark_benchmark: 1322.7383,

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