Task
Supervised Classification on rmftsa_ladata

Supervised Classification on rmftsa_ladata

Task 4288 Supervised Classification rmftsa_ladata 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.875, kappa: 0.7461, kb_relative_information_score: 3365.3908, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.875, predictive_accuracy: 0.875, prior_entropy: 0.9886, recall: 0.875, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6481, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8802, kappa: 0.7565, kb_relative_information_score: 3198.1975, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8802, predictive_accuracy: 0.8801, prior_entropy: 0.9886, recall: 0.8801, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6096, scimark_benchmark: 972.587, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8778, kappa: 0.7515, kb_relative_information_score: 3528.1634, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6097, scimark_benchmark: 934.3687, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8634, kappa: 0.7217, kb_relative_information_score: 3502.0728, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9886, recall: 0.8638, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.643, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8861, kappa: 0.7682, kb_relative_information_score: 3442.6824, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8861, predictive_accuracy: 0.8862, prior_entropy: 0.9886, recall: 0.8862, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.5856, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8876, kappa: 0.7713, kb_relative_information_score: 3448.9598, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8877, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.285, root_relative_squared_error: 0.5746, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8515, kappa: 0.6979, kb_relative_information_score: 3307.1139, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8514, predictive_accuracy: 0.8516, prior_entropy: 0.9886, recall: 0.8516, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6947, scimark_benchmark: 927.2917, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 536.9616, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 536.9616, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 941.3847, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8886, kappa: 0.7732, kb_relative_information_score: 3431.2342, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8887, predictive_accuracy: 0.8888, prior_entropy: 0.9886, recall: 0.8888, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5789, scimark_benchmark: 937.5117, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.875, kappa: 0.7461, kb_relative_information_score: 3365.3908, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.875, predictive_accuracy: 0.875, prior_entropy: 0.9886, recall: 0.875, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6481, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8802, kappa: 0.7565, kb_relative_information_score: 3198.1975, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8802, predictive_accuracy: 0.8801, prior_entropy: 0.9886, recall: 0.8801, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6096, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8778, kappa: 0.7515, kb_relative_information_score: 3528.1634, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6097, scimark_benchmark: 938.1282, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 536.9616, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 906.0979, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8554, kappa: 0.7056, kb_relative_information_score: 3491.2177, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8555, predictive_accuracy: 0.8557, prior_entropy: 0.9886, recall: 0.8557, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6996, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8634, kappa: 0.7217, kb_relative_information_score: 3502.0728, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9886, recall: 0.8638, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.643, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8634, kappa: 0.7217, kb_relative_information_score: 3502.0728, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9886, recall: 0.8638, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.643, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8861, kappa: 0.7682, kb_relative_information_score: 3442.6824, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8861, predictive_accuracy: 0.8862, prior_entropy: 0.9886, recall: 0.8862, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.5856, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8876, kappa: 0.7713, kb_relative_information_score: 3448.9598, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8877, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.285, root_relative_squared_error: 0.5746, scimark_benchmark: 935.5664, usercpu_time_millis: 1480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8634, kappa: 0.7217, kb_relative_information_score: 3502.0728, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9886, recall: 0.8638, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.643, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8515, kappa: 0.6979, kb_relative_information_score: 3307.1139, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8514, predictive_accuracy: 0.8516, prior_entropy: 0.9886, recall: 0.8516, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6947, scimark_benchmark: 730.6551, usercpu_time_millis: 650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8886, kappa: 0.7732, kb_relative_information_score: 3431.2342, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8887, predictive_accuracy: 0.8888, prior_entropy: 0.9886, recall: 0.8888, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5789, scimark_benchmark: 936.3213, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8954, kappa: 0.7871, kb_relative_information_score: 3422.6812, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8954, predictive_accuracy: 0.8955, prior_entropy: 0.9886, recall: 0.8955, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.5573, scimark_benchmark: 934.695, usercpu_time_millis: 3150, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8948, kappa: 0.7859, kb_relative_information_score: 3417.8227, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8948, predictive_accuracy: 0.8949, prior_entropy: 0.9886, recall: 0.8949, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.558, scimark_benchmark: 933.4823, usercpu_time_millis: 1160, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.895, kappa: 0.7864, kb_relative_information_score: 3410.0976, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.895, predictive_accuracy: 0.8951, prior_entropy: 0.9886, recall: 0.8951, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.5627, scimark_benchmark: 938.8535, usercpu_time_millis: 640, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8916, kappa: 0.7795, kb_relative_information_score: 3425.3089, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 0.9886, recall: 0.8917, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.5641, scimark_benchmark: 933.9, usercpu_time_millis: 290, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8903, kappa: 0.7769, kb_relative_information_score: 3403.4965, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8903, predictive_accuracy: 0.8904, prior_entropy: 0.9886, recall: 0.8904, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5743, scimark_benchmark: 931.6751, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8745, kappa: 0.744, kb_relative_information_score: 3463.1683, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8767, predictive_accuracy: 0.8754, prior_entropy: 0.9886, recall: 0.8754, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6238, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8745, kappa: 0.744, kb_relative_information_score: 3463.1683, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8767, predictive_accuracy: 0.8754, prior_entropy: 0.9886, recall: 0.8754, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6238, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8745, kappa: 0.744, kb_relative_information_score: 3463.1683, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8767, predictive_accuracy: 0.8754, prior_entropy: 0.9886, recall: 0.8754, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6238, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8745, kappa: 0.744, kb_relative_information_score: 3463.1683, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8767, predictive_accuracy: 0.8754, prior_entropy: 0.9886, recall: 0.8754, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6238, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8745, kappa: 0.744, kb_relative_information_score: 3463.1683, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8767, predictive_accuracy: 0.8754, prior_entropy: 0.9886, recall: 0.8754, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6238, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.4056, kb_relative_information_score: -0.4272, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 1, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.496, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8786, kappa: 0.7526, kb_relative_information_score: 3809.1136, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8795, predictive_accuracy: 0.8791, prior_entropy: 0.9886, recall: 0.8791, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6763, scimark_benchmark: 938.3115, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8775, kappa: 0.7504, kb_relative_information_score: 3793.1703, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8787, predictive_accuracy: 0.8782, prior_entropy: 0.9886, recall: 0.8782, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6768, scimark_benchmark: 936.1714, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8794, kappa: 0.7542, kb_relative_information_score: 3817.2632, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8809, predictive_accuracy: 0.8801, prior_entropy: 0.9886, recall: 0.8801, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.684, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8783, kappa: 0.752, kb_relative_information_score: 3802.6048, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8794, predictive_accuracy: 0.8789, prior_entropy: 0.9886, recall: 0.8789, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6801, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8785, kappa: 0.7523, kb_relative_information_score: 3814.9069, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8798, predictive_accuracy: 0.8791, prior_entropy: 0.9886, recall: 0.8791, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6849, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8634, kappa: 0.7217, kb_relative_information_score: 3502.0728, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9886, recall: 0.8638, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.643, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8802, kappa: 0.7565, kb_relative_information_score: 3198.1975, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8802, predictive_accuracy: 0.8801, prior_entropy: 0.9886, recall: 0.8801, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6096, scimark_benchmark: 1319.4538, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 536.9616, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 1317.071, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8554, kappa: 0.7056, kb_relative_information_score: 3491.2177, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8555, predictive_accuracy: 0.8557, prior_entropy: 0.9886, recall: 0.8557, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6996, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8634, kappa: 0.7217, kb_relative_information_score: 3502.0728, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9886, recall: 0.8638, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.643, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8634, kappa: 0.7217, kb_relative_information_score: 3502.0728, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9886, recall: 0.8638, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.643, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8634, kappa: 0.7217, kb_relative_information_score: 3502.0728, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9886, recall: 0.8638, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.643, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8876, kappa: 0.7713, kb_relative_information_score: 3448.9598, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8877, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.285, root_relative_squared_error: 0.5746, scimark_benchmark: 1319.952, usercpu_time_millis: 1630, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8634, kappa: 0.7217, kb_relative_information_score: 3502.0728, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9886, recall: 0.8638, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.643, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8515, kappa: 0.6979, kb_relative_information_score: 3307.1139, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8514, predictive_accuracy: 0.8516, prior_entropy: 0.9886, recall: 0.8516, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6947, scimark_benchmark: 1332.1612, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8634, kappa: 0.7217, kb_relative_information_score: 3502.0728, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9886, recall: 0.8638, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.643, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8634, kappa: 0.7217, kb_relative_information_score: 3502.0728, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9886, recall: 0.8638, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.643, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8515, kappa: 0.6979, kb_relative_information_score: 3307.1139, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8514, predictive_accuracy: 0.8516, prior_entropy: 0.9886, recall: 0.8516, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6947, scimark_benchmark: 1340.9749, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8886, kappa: 0.7732, kb_relative_information_score: 3431.2342, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8887, predictive_accuracy: 0.8888, prior_entropy: 0.9886, recall: 0.8888, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5789, scimark_benchmark: 1310.6554, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8773, kappa: 0.7498, kb_relative_information_score: 3208.1194, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8794, predictive_accuracy: 0.8782, prior_entropy: 0.9886, recall: 0.8782, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6533, scimark_benchmark: 1317.7919, usercpu_time_millis: 950, usercpu_time_millis_testing: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8802, kappa: 0.7565, kb_relative_information_score: 3198.1975, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8802, predictive_accuracy: 0.8801, prior_entropy: 0.9886, recall: 0.8801, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6096, scimark_benchmark: 1350.1007, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8765, kappa: 0.7493, kb_relative_information_score: 3519.0093, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8768, predictive_accuracy: 0.8764, prior_entropy: 0.9886, recall: 0.8764, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.68, scimark_benchmark: 1322.0065, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8778, kappa: 0.7515, kb_relative_information_score: 3528.1634, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6097, scimark_benchmark: 1318.4315, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 536.9616, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 1334.9442, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8876, kappa: 0.7713, kb_relative_information_score: 3448.9598, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8877, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.285, root_relative_squared_error: 0.5746, scimark_benchmark: 1325.6322, usercpu_time_millis: 1550, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8515, kappa: 0.6979, kb_relative_information_score: 3307.1139, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8514, predictive_accuracy: 0.8516, prior_entropy: 0.9886, recall: 0.8516, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6947, scimark_benchmark: 1332.6745, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8886, kappa: 0.7732, kb_relative_information_score: 3431.2342, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8887, predictive_accuracy: 0.8888, prior_entropy: 0.9886, recall: 0.8888, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5789, scimark_benchmark: 1292.514, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.875, kappa: 0.7461, kb_relative_information_score: 3365.3908, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.875, predictive_accuracy: 0.875, prior_entropy: 0.9886, recall: 0.875, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6481, scimark_benchmark: 1317.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8802, kappa: 0.7565, kb_relative_information_score: 3198.1975, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4921, number_of_instances: 5080, precision: 0.8802, predictive_accuracy: 0.8801, prior_entropy: 0.9886, recall: 0.8801, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6096, scimark_benchmark: 1356.7468, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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