Task
Supervised Classification on fri_c0_500_50

Supervised Classification on fri_c0_500_50

Task 3751 Supervised Classification fri_c0_500_50 569 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7601, kappa: 0.5219, kb_relative_information_score: 214.3786, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7677, predictive_accuracy: 0.762, prior_entropy: 0.9996, recall: 0.762, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.7896, kappa: 0.5791, kb_relative_information_score: 223.6481, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.791, predictive_accuracy: 0.79, prior_entropy: 0.9996, recall: 0.79, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7998, kappa: 0.5994, kb_relative_information_score: 237.272, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9996, recall: 0.8, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.81, kappa: 0.6198, kb_relative_information_score: 278.7432, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.81, predictive_accuracy: 0.81, prior_entropy: 0.9996, recall: 0.81, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8325, kappa: 0.6665, kb_relative_information_score: 240.3949, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8426, predictive_accuracy: 0.834, prior_entropy: 0.9996, recall: 0.834, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.6999, kappa: 0.3994, kb_relative_information_score: 160.4182, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6999, predictive_accuracy: 0.7, prior_entropy: 0.9996, recall: 0.7, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8359, kappa: 0.6716, kb_relative_information_score: 334.4968, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 0.9996, recall: 0.836, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.848, kappa: 0.6959, kb_relative_information_score: 334.7748, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 0.9996, recall: 0.848, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.808, kappa: 0.6159, kb_relative_information_score: 278.8005, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8082, predictive_accuracy: 0.808, prior_entropy: 0.9996, recall: 0.808, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7379, kappa: 0.4753, kb_relative_information_score: 240.433, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.738, predictive_accuracy: 0.738, prior_entropy: 0.9996, recall: 0.738, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8499, kappa: 0.6996, kb_relative_information_score: 246.1772, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8502, predictive_accuracy: 0.85, prior_entropy: 0.9996, recall: 0.85, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.6914, kappa: 0.3827, kb_relative_information_score: 123.3979, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6923, predictive_accuracy: 0.692, prior_entropy: 0.9996, recall: 0.692, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.702, kappa: 0.4041, kb_relative_information_score: 135.3631, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7024, predictive_accuracy: 0.702, prior_entropy: 0.9996, recall: 0.702, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8077, kappa: 0.6152, kb_relative_information_score: 283.9387, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.809, predictive_accuracy: 0.808, prior_entropy: 0.9996, recall: 0.808, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8272, kappa: 0.6549, kb_relative_information_score: 249.6594, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8317, predictive_accuracy: 0.828, prior_entropy: 0.9996, recall: 0.828, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7837, kappa: 0.5672, kb_relative_information_score: 153.237, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7846, predictive_accuracy: 0.784, prior_entropy: 0.9996, recall: 0.784, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3468, kb_relative_information_score: -0.0316, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.2621, predictive_accuracy: 0.512, prior_entropy: 0.9996, recall: 0.512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.67, kappa: 0.3396, kb_relative_information_score: 119.5066, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.67, predictive_accuracy: 0.67, prior_entropy: 0.9996, recall: 0.67, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.82, kappa: 0.6397, kb_relative_information_score: 287.1606, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9996, recall: 0.82, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.792, kappa: 0.5838, kb_relative_information_score: 230.0765, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.792, predictive_accuracy: 0.792, prior_entropy: 0.9996, recall: 0.792, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.832, kappa: 0.6639, kb_relative_information_score: 331.8598, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 0.9996, recall: 0.832, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.7956, kappa: 0.5911, kb_relative_information_score: 225.0014, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7969, predictive_accuracy: 0.796, prior_entropy: 0.9996, recall: 0.796, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8453, kappa: 0.691, kb_relative_information_score: 163.1292, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8497, predictive_accuracy: 0.846, prior_entropy: 0.9996, recall: 0.846, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.786, kappa: 0.5718, kb_relative_information_score: 280.3417, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9996, recall: 0.786, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8039, kappa: 0.6075, kb_relative_information_score: 236.6471, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 0.9996, recall: 0.804, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.8, kappa: 0.6002, kb_relative_information_score: 277.683, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8009, predictive_accuracy: 0.8, prior_entropy: 0.9996, recall: 0.8, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 351.8763, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8523, predictive_accuracy: 0.852, prior_entropy: 0.9996, recall: 0.852, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.632, kappa: 0.2634, kb_relative_information_score: 123.7777, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6319, predictive_accuracy: 0.632, prior_entropy: 0.9996, recall: 0.632, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.0524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.786, kappa: 0.5718, kb_relative_information_score: 280.3417, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9996, recall: 0.786, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8358, kappa: 0.6714, kb_relative_information_score: 247.8458, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8368, predictive_accuracy: 0.836, prior_entropy: 0.9996, recall: 0.836, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.702, kappa: 0.4043, kb_relative_information_score: 201.7525, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7027, predictive_accuracy: 0.702, prior_entropy: 0.9996, recall: 0.702, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8039, kappa: 0.6075, kb_relative_information_score: 236.6471, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 0.9996, recall: 0.804, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.814, kappa: 0.6277, kb_relative_information_score: 261.6427, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 0.9996, recall: 0.814, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7348, kappa: 0.4732, kb_relative_information_score: 139.9544, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7463, predictive_accuracy: 0.738, prior_entropy: 0.9996, recall: 0.738, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.7418, kappa: 0.4833, kb_relative_information_score: 241.7855, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7421, predictive_accuracy: 0.742, prior_entropy: 0.9996, recall: 0.742, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.8214, kappa: 0.643, kb_relative_information_score: 321.8515, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8244, predictive_accuracy: 0.822, prior_entropy: 0.9996, recall: 0.822, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8254, kappa: 0.651, kb_relative_information_score: 325.8548, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8289, predictive_accuracy: 0.826, prior_entropy: 0.9996, recall: 0.826, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.8172, kappa: 0.6348, kb_relative_information_score: 317.8482, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8213, predictive_accuracy: 0.818, prior_entropy: 0.9996, recall: 0.818, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.8119, kappa: 0.6235, kb_relative_information_score: 311.8433, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8122, predictive_accuracy: 0.812, prior_entropy: 0.9996, recall: 0.812, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.771, kappa: 0.5425, kb_relative_information_score: 271.8103, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7749, predictive_accuracy: 0.772, prior_entropy: 0.9996, recall: 0.772, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9553, scimark_benchmark: 1461.2356, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.812, kappa: 0.6239, kb_relative_information_score: 311.8433, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8122, predictive_accuracy: 0.812, prior_entropy: 0.9996, recall: 0.812, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8674, scimark_benchmark: 1461.2356, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.8139, kappa: 0.6275, kb_relative_information_score: 313.8449, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8141, predictive_accuracy: 0.814, prior_entropy: 0.9996, recall: 0.814, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8628, scimark_benchmark: 1959.6455, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.6078, kb_relative_information_score: 303.8367, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8041, predictive_accuracy: 0.804, prior_entropy: 0.9996, recall: 0.804, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8857, scimark_benchmark: 1959.6455, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7759, kappa: 0.5515, kb_relative_information_score: 246.4753, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 0.9996, recall: 0.776, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8796, scimark_benchmark: 1565.737, usercpu_time_millis: 3810, usercpu_time_millis_training: 3810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.6078, kb_relative_information_score: 303.8367, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8041, predictive_accuracy: 0.804, prior_entropy: 0.9996, recall: 0.804, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8857, scimark_benchmark: 1643.6405, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.8139, kappa: 0.6275, kb_relative_information_score: 313.8449, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8141, predictive_accuracy: 0.814, prior_entropy: 0.9996, recall: 0.814, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8628, scimark_benchmark: 1352.1013, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.771, kappa: 0.5425, kb_relative_information_score: 271.8103, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7749, predictive_accuracy: 0.772, prior_entropy: 0.9996, recall: 0.772, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9553, scimark_benchmark: 1669.5305, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.812, kappa: 0.6239, kb_relative_information_score: 311.8433, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8122, predictive_accuracy: 0.812, prior_entropy: 0.9996, recall: 0.812, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8674, scimark_benchmark: 1556.1047, usercpu_time_millis: 210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7579, kappa: 0.5155, kb_relative_information_score: 258.3781, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.758, predictive_accuracy: 0.758, prior_entropy: 0.9996, recall: 0.758, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9681, scimark_benchmark: 1908.2191, usercpu_time_millis: 4859.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 4843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.778, kappa: 0.5562, kb_relative_information_score: 275.7711, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7788, predictive_accuracy: 0.778, prior_entropy: 0.9996, recall: 0.778, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8683, scimark_benchmark: 1701.2791, usercpu_time_millis: 5920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.758, kappa: 0.5156, kb_relative_information_score: 259.7179, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.758, predictive_accuracy: 0.758, prior_entropy: 0.9996, recall: 0.758, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9484, scimark_benchmark: 1060.9535, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8039, kappa: 0.6075, kb_relative_information_score: 236.6471, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 0.9996, recall: 0.804, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7238, scimark_benchmark: 1369.8587, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7718, kappa: 0.5433, kb_relative_information_score: 248.4991, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7722, predictive_accuracy: 0.772, prior_entropy: 0.9996, recall: 0.772, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8805, scimark_benchmark: 1334.2396, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.816, kappa: 0.6316, kb_relative_information_score: 279.8264, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9996, recall: 0.816, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7495, scimark_benchmark: 1342.929, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.62, kappa: 0.2404, kb_relative_information_score: 119.3014, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6207, predictive_accuracy: 0.62, prior_entropy: 0.9996, recall: 0.62, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6151, root_relative_squared_error: 1.2305, scimark_benchmark: 1367.1596, usercpu_time_millis: 110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 336.8169, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8544, predictive_accuracy: 0.854, prior_entropy: 0.9996, recall: 0.854, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6478, scimark_benchmark: 1270.9816, usercpu_time_millis: 980, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.7496, kappa: 0.499, kb_relative_information_score: 210.2479, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7505, predictive_accuracy: 0.75, prior_entropy: 0.9996, recall: 0.75, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8866, scimark_benchmark: 573.4499, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.796, kappa: 0.5919, kb_relative_information_score: 295.8301, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7962, predictive_accuracy: 0.796, prior_entropy: 0.9996, recall: 0.796, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9036, scimark_benchmark: 1618.1738, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.796, kappa: 0.5919, kb_relative_information_score: 295.8301, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7962, predictive_accuracy: 0.796, prior_entropy: 0.9996, recall: 0.796, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9036, scimark_benchmark: 1618.1738, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.793, kappa: 0.5866, kb_relative_information_score: 231.1979, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7975, predictive_accuracy: 0.794, prior_entropy: 0.9996, recall: 0.794, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8174, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8297, kappa: 0.6592, kb_relative_information_score: 153.8845, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8313, predictive_accuracy: 0.83, prior_entropy: 0.9996, recall: 0.83, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7856, scimark_benchmark: 1925.3565, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7998, kappa: 0.5994, kb_relative_information_score: 237.272, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9996, recall: 0.8, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7339, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.782, kappa: 0.564, kb_relative_information_score: 276.789, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7822, predictive_accuracy: 0.782, prior_entropy: 0.9996, recall: 0.782, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9095, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8039, kappa: 0.6075, kb_relative_information_score: 236.6471, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 0.9996, recall: 0.804, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7238, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.796, kappa: 0.5919, kb_relative_information_score: 295.8301, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7962, predictive_accuracy: 0.796, prior_entropy: 0.9996, recall: 0.796, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9036, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.796, kappa: 0.5919, kb_relative_information_score: 295.8301, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7962, predictive_accuracy: 0.796, prior_entropy: 0.9996, recall: 0.796, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9036, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7718, kappa: 0.5433, kb_relative_information_score: 248.5387, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7722, predictive_accuracy: 0.772, prior_entropy: 0.9996, recall: 0.772, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8818, scimark_benchmark: 1925.3565, usercpu_time_millis: 343.75, usercpu_time_millis_training: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.816, kappa: 0.6316, kb_relative_information_score: 279.8264, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9996, recall: 0.816, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7495, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.62, kappa: 0.2404, kb_relative_information_score: 119.3014, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6207, predictive_accuracy: 0.62, prior_entropy: 0.9996, recall: 0.62, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6151, root_relative_squared_error: 1.2305, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 336.8169, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8544, predictive_accuracy: 0.854, prior_entropy: 0.9996, recall: 0.854, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6478, scimark_benchmark: 1892.0925, usercpu_time_millis: 625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.762, kappa: 0.5239, kb_relative_information_score: 220.4613, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7621, predictive_accuracy: 0.762, prior_entropy: 0.9996, recall: 0.762, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8752, scimark_benchmark: 1892.0925, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.793, kappa: 0.5866, kb_relative_information_score: 231.1979, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7975, predictive_accuracy: 0.794, prior_entropy: 0.9996, recall: 0.794, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8174, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8257, kappa: 0.6512, kb_relative_information_score: 153.1908, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8272, predictive_accuracy: 0.826, prior_entropy: 0.9996, recall: 0.826, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7894, scimark_benchmark: 1892.0925, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7998, kappa: 0.5994, kb_relative_information_score: 237.272, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9996, recall: 0.8, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7339, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.782, kappa: 0.564, kb_relative_information_score: 276.789, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7822, predictive_accuracy: 0.782, prior_entropy: 0.9996, recall: 0.782, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9095, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.816, kappa: 0.6316, kb_relative_information_score: 279.8264, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9996, recall: 0.816, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7495, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7601, kappa: 0.5219, kb_relative_information_score: 214.3786, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7677, predictive_accuracy: 0.762, prior_entropy: 0.9996, recall: 0.762, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8559, scimark_benchmark: 1834.908, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7759, kappa: 0.5514, kb_relative_information_score: 250.9515, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7761, predictive_accuracy: 0.776, prior_entropy: 0.9996, recall: 0.776, relative_absolute_error: 0.5153, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8744, scimark_benchmark: 1834.908, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 336.8169, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8544, predictive_accuracy: 0.854, prior_entropy: 0.9996, recall: 0.854, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6478, scimark_benchmark: 1834.908, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 336.8169, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8544, predictive_accuracy: 0.854, prior_entropy: 0.9996, recall: 0.854, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6478, scimark_benchmark: 1788.6668, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.852, kappa: 0.7037, kb_relative_information_score: 318.4276, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9996, recall: 0.852, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6602, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7993, kappa: 0.5988, kb_relative_information_score: 250.4488, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8023, predictive_accuracy: 0.8, prior_entropy: 0.9996, recall: 0.8, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7935, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8479, kappa: 0.6965, kb_relative_information_score: 285.9472, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.851, predictive_accuracy: 0.848, prior_entropy: 0.9996, recall: 0.848, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6906, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.846, kappa: 0.6919, kb_relative_information_score: 287.0706, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 0.9996, recall: 0.846, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6775, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 351.8763, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8523, predictive_accuracy: 0.852, prior_entropy: 0.9996, recall: 0.852, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7696, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.796, kappa: 0.5919, kb_relative_information_score: 295.8301, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7962, predictive_accuracy: 0.796, prior_entropy: 0.9996, recall: 0.796, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9036, scimark_benchmark: 1356.1626, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7601, kappa: 0.5219, kb_relative_information_score: 214.3786, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7677, predictive_accuracy: 0.762, prior_entropy: 0.9996, recall: 0.762, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8559, scimark_benchmark: 1088.7873, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8598, kappa: 0.7195, kb_relative_information_score: 287.5266, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8609, predictive_accuracy: 0.86, prior_entropy: 0.9996, recall: 0.86, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6612, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.778, kappa: 0.5612, kb_relative_information_score: 281.3669, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7987, predictive_accuracy: 0.782, prior_entropy: 0.9996, recall: 0.782, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7997, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.6237, kappa: 0.28, kb_relative_information_score: 133.4777, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6747, predictive_accuracy: 0.644, prior_entropy: 0.9996, recall: 0.644, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0155, scimark_benchmark: 1840.6094, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7094, kappa: 0.4245, kb_relative_information_score: 117.9934, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7242, predictive_accuracy: 0.714, prior_entropy: 0.9996, recall: 0.714, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8664, scimark_benchmark: 1873.1108, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.82, kappa: 0.6397, kb_relative_information_score: 287.1606, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9996, recall: 0.82, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7148, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.6999, kappa: 0.3994, kb_relative_information_score: 129.0666, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.6999, predictive_accuracy: 0.7, prior_entropy: 0.9996, recall: 0.7, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.8998, scimark_benchmark: 1873.1108, usercpu_time_millis: 125, usercpu_time_millis_testing: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7799, kappa: 0.5596, kb_relative_information_score: 279.8169, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9996, recall: 0.78, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 351.8763, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8523, predictive_accuracy: 0.852, prior_entropy: 0.9996, recall: 0.852, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7696, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.796, kappa: 0.5919, kb_relative_information_score: 295.8301, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7962, predictive_accuracy: 0.796, prior_entropy: 0.9996, recall: 0.796, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9036, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.8097, kappa: 0.6192, kb_relative_information_score: 266.0646, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.8108, predictive_accuracy: 0.81, prior_entropy: 0.9996, recall: 0.81, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7782, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7912, kappa: 0.5827, kb_relative_information_score: 229.2057, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.7947, predictive_accuracy: 0.792, prior_entropy: 0.9996, recall: 0.792, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8293, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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