Task
Supervised Classification on fri_c0_500_5

Supervised Classification on fri_c0_500_5

Task 3747 Supervised Classification fri_c0_500_5 564 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: 0.8353, f_measure: 0.8159, kappa: 0.6321, kb_relative_information_score: 267.2174, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.817, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 240.9109, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 242.0079, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 315.8389, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.834, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 292.1778, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 336.3131, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8479, kappa: 0.6959, kb_relative_information_score: 343.7762, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8488, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 326.5733, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 303.9902, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.814, kappa: 0.628, kb_relative_information_score: 302.6753, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 1, recall: 0.814, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.806, kappa: 0.612, kb_relative_information_score: 232.916, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.806, predictive_accuracy: 0.806, prior_entropy: 1, recall: 0.806, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 279.5764, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7659, kappa: 0.5321, kb_relative_information_score: 192.8316, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7666, predictive_accuracy: 0.766, prior_entropy: 1, recall: 0.766, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 331.3403, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8579, kappa: 0.7159, kb_relative_information_score: 302.9109, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8587, predictive_accuracy: 0.858, prior_entropy: 1, recall: 0.858, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.328, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 189.7165, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.37, root_relative_squared_error: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.76, kappa: 0.5199, kb_relative_information_score: 215.959, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7601, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8518, kappa: 0.7039, kb_relative_information_score: 298.7846, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8534, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 289.4665, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 239.1294, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8345, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 327.996, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 299.2445, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 1, recall: 0.854, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8259, kappa: 0.6519, kb_relative_information_score: 299.2206, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 1, recall: 0.826, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 240.9571, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 277.0147, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.76, kappa: 0.52, kb_relative_information_score: 259.9945, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 240.9571, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8259, kappa: 0.6519, kb_relative_information_score: 299.2206, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 1, recall: 0.826, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.7979, kappa: 0.5959, kb_relative_information_score: 229.5733, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7985, predictive_accuracy: 0.798, prior_entropy: 1, recall: 0.798, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.798, kappa: 0.596, kb_relative_information_score: 297.9953, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 1, recall: 0.798, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 240.9571, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8839, kappa: 0.768, kb_relative_information_score: 349.53, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8846, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8359, kappa: 0.6721, kb_relative_information_score: 278.1364, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8374, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.8139, kappa: 0.6281, kb_relative_information_score: 313.9957, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8149, predictive_accuracy: 0.814, prior_entropy: 1, recall: 0.814, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 333.9962, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8149, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 331.9961, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198, scimark_benchmark: 1461.2356, 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: 0.8899, f_measure: 0.8899, kappa: 0.78, kb_relative_information_score: 389.9974, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8907, predictive_accuracy: 0.89, prior_entropy: 1, recall: 0.89, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6633, scimark_benchmark: 1959.6455, 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: 0.786, f_measure: 0.786, kappa: 0.572, kb_relative_information_score: 285.9951, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 1, recall: 0.786, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9252, scimark_benchmark: 1959.6455, 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: 0.8889, f_measure: 0.8315, kappa: 0.6639, kb_relative_information_score: 262.2537, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8356, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7261, scimark_benchmark: 1400.6399, usercpu_time_millis: 1640, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.786, kappa: 0.572, kb_relative_information_score: 285.9951, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 1, recall: 0.786, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9252, scimark_benchmark: 1399.2738, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8899, kappa: 0.78, kb_relative_information_score: 389.9974, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8907, predictive_accuracy: 0.89, prior_entropy: 1, recall: 0.89, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6633, scimark_benchmark: 1383.0847, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 333.9962, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8149, scimark_benchmark: 1653.4827, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 331.9961, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198, scimark_benchmark: 1463.4996, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 279.4727, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7015, scimark_benchmark: 1908.2191, usercpu_time_millis: 1015.625, usercpu_time_millis_training: 1015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.826, kappa: 0.652, kb_relative_information_score: 291.271, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8261, predictive_accuracy: 0.826, prior_entropy: 1, recall: 0.826, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7683, scimark_benchmark: 1354.2487, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 279.4727, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7015, scimark_benchmark: 1060.9535, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 240.9571, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6836, scimark_benchmark: 1314.2507, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8295, kappa: 0.6598, kb_relative_information_score: 263.6212, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8338, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7194, scimark_benchmark: 1286.3092, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 270.9639, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.6995, scimark_benchmark: 1358.8758, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.8058, kappa: 0.6119, kb_relative_information_score: 305.0179, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8068, predictive_accuracy: 0.806, prior_entropy: 1, recall: 0.806, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.879, scimark_benchmark: 1302.6498, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 340.1297, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6126, scimark_benchmark: 1291.4767, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7998, kappa: 0.6001, kb_relative_information_score: 258.7739, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8081, scimark_benchmark: 605.4292, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7998, kappa: 0.6001, kb_relative_information_score: 258.7739, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8081, scimark_benchmark: 647.8758, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 327.996, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8295, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 333.9962, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8149, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8018, kappa: 0.6039, kb_relative_information_score: 248.2993, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8028, predictive_accuracy: 0.802, prior_entropy: 1, recall: 0.802, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7954, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 303.1107, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6156, scimark_benchmark: 1925.3565, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 242.0079, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6857, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.8299, kappa: 0.6599, kb_relative_information_score: 303.2206, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7897, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 240.9571, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6836, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 327.996, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8295, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 333.9962, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8149, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8295, kappa: 0.6598, kb_relative_information_score: 263.6212, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8338, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7194, scimark_benchmark: 1925.3565, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 270.9639, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.6995, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.8058, kappa: 0.6119, kb_relative_information_score: 305.0179, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8068, predictive_accuracy: 0.806, prior_entropy: 1, recall: 0.806, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.879, 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: 0.9448, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 340.1297, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6126, scimark_benchmark: 1892.0925, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7998, kappa: 0.6001, kb_relative_information_score: 258.7739, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8081, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8018, kappa: 0.6039, kb_relative_information_score: 248.2993, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8028, predictive_accuracy: 0.802, prior_entropy: 1, recall: 0.802, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7954, 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: 0.9472, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 303.1107, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6156, scimark_benchmark: 1892.0925, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 242.0079, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6857, 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: 0.8155, f_measure: 0.8299, kappa: 0.6599, kb_relative_information_score: 303.2206, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7897, 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: 0.9073, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 270.9639, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.6995, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8159, kappa: 0.6321, kb_relative_information_score: 267.2174, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.817, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7855, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8295, kappa: 0.6598, kb_relative_information_score: 262.9103, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8338, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7195, scimark_benchmark: 1834.908, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 340.1297, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6126, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 340.1297, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6126, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.838, kappa: 0.676, kb_relative_information_score: 299.9548, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 1, recall: 0.838, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6816, 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: 0.8393, f_measure: 0.8139, kappa: 0.6281, kb_relative_information_score: 261.7251, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8149, predictive_accuracy: 0.814, prior_entropy: 1, recall: 0.814, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7864, 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: 0.868, f_measure: 0.8137, kappa: 0.6279, kb_relative_information_score: 249.7018, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8158, predictive_accuracy: 0.814, prior_entropy: 1, recall: 0.814, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7411, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.798, kappa: 0.596, kb_relative_information_score: 249.4777, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 1, recall: 0.798, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7293, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.794, kappa: 0.588, kb_relative_information_score: 293.9952, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.794, predictive_accuracy: 0.794, prior_entropy: 1, recall: 0.794, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9078, 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: 0.8279, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 327.996, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8295, scimark_benchmark: 917.2628, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8159, kappa: 0.6321, kb_relative_information_score: 267.2174, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.817, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7855, scimark_benchmark: 997.6789, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8379, kappa: 0.6761, kb_relative_information_score: 279.8831, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8393, predictive_accuracy: 0.838, prior_entropy: 1, recall: 0.838, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6605, 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: 0.885, f_measure: 0.812, kappa: 0.6283, kb_relative_information_score: 312.4946, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8289, predictive_accuracy: 0.814, prior_entropy: 1, recall: 0.814, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7193, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.7976, kappa: 0.6004, kb_relative_information_score: 298.5167, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.816, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7465, 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: 0.9375, f_measure: 0.8498, kappa: 0.7001, kb_relative_information_score: 273.1581, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8521, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6536, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8539, kappa: 0.7079, kb_relative_information_score: 300.1398, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8547, predictive_accuracy: 0.854, prior_entropy: 1, recall: 0.854, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6623, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 289.4665, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6653, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 367.9969, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 347.9965, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8482, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8479, kappa: 0.6961, kb_relative_information_score: 347.9965, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8491, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.878, kappa: 0.756, kb_relative_information_score: 377.9972, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8785, predictive_accuracy: 0.878, prior_entropy: 1, recall: 0.878, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.6986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.81, kappa: 0.62, kb_relative_information_score: 309.9956, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8101, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8718, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.834, kappa: 0.668, kb_relative_information_score: 333.9962, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8149, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.791, kappa: 0.5838, kb_relative_information_score: 238.6527, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7974, predictive_accuracy: 0.792, prior_entropy: 1, recall: 0.792, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8171, scimark_benchmark: 1870.7932,

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