Task
Supervised Classification on fri_c2_500_25

Supervised Classification on fri_c2_500_25

Task 4448 Supervised Classification fri_c2_500_25 200 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8406, kappa: 0.6647, kb_relative_information_score: 2756.6775, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8404, predictive_accuracy: 0.841, prior_entropy: 0.9664, recall: 0.841, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.737, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8329, kappa: 0.6475, kb_relative_information_score: 2393.6677, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8332, predictive_accuracy: 0.8342, prior_entropy: 0.9664, recall: 0.8342, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7115, scimark_benchmark: 972.587, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8509, kappa: 0.6865, kb_relative_information_score: 2979.7158, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8508, predictive_accuracy: 0.8514, prior_entropy: 0.9664, recall: 0.8514, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6711, scimark_benchmark: 934.3687, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6668, kappa: 0.2932, kb_relative_information_score: 1518.3152, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.6671, predictive_accuracy: 0.6748, prior_entropy: 0.9664, recall: 0.6748, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1681, scimark_benchmark: 931.771, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6668, kappa: 0.2932, kb_relative_information_score: 1518.3152, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.6671, predictive_accuracy: 0.6748, prior_entropy: 0.9664, recall: 0.6748, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1681, scimark_benchmark: 944.1067, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8583, kappa: 0.7003, kb_relative_information_score: 2931.5099, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 0.9664, recall: 0.86, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6426, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.6139, kappa: 0.1837, kb_relative_information_score: 637.3744, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.6117, predictive_accuracy: 0.6186, prior_entropy: 0.9664, recall: 0.6186, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.0047, scimark_benchmark: 941.6675, usercpu_time_millis: 8200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 8100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8305, kappa: 0.6432, kb_relative_information_score: 2870.634, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8303, predictive_accuracy: 0.8312, prior_entropy: 0.9664, recall: 0.8312, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7483, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6668, kappa: 0.2932, kb_relative_information_score: 1518.3152, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.6671, predictive_accuracy: 0.6748, prior_entropy: 0.9664, recall: 0.6748, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1681, scimark_benchmark: 937.5117, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6668, kappa: 0.2932, kb_relative_information_score: 1518.3152, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.6671, predictive_accuracy: 0.6748, prior_entropy: 0.9664, recall: 0.6748, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1681, scimark_benchmark: 974.2014, usercpu_time_millis: 230, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8597, kappa: 0.7028, kb_relative_information_score: 2265.7182, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8635, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6887, scimark_benchmark: 974.2014, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8406, kappa: 0.6647, kb_relative_information_score: 2756.6775, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8404, predictive_accuracy: 0.841, prior_entropy: 0.9664, recall: 0.841, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.737, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8329, kappa: 0.6475, kb_relative_information_score: 2393.6677, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8332, predictive_accuracy: 0.8342, prior_entropy: 0.9664, recall: 0.8342, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7115, scimark_benchmark: 908.9569, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8509, kappa: 0.6865, kb_relative_information_score: 2979.7158, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8508, predictive_accuracy: 0.8514, prior_entropy: 0.9664, recall: 0.8514, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6711, scimark_benchmark: 938.1282, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6668, kappa: 0.2932, kb_relative_information_score: 1518.3152, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.6671, predictive_accuracy: 0.6748, prior_entropy: 0.9664, recall: 0.6748, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1681, scimark_benchmark: 926.5462, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8254, kappa: 0.6333, kb_relative_information_score: 2890.9708, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8253, predictive_accuracy: 0.8256, prior_entropy: 0.9664, recall: 0.8256, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.73, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8583, kappa: 0.7003, kb_relative_information_score: 2931.5099, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 0.9664, recall: 0.86, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6426, scimark_benchmark: 903.2737, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.6139, kappa: 0.1837, kb_relative_information_score: 637.3744, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.6117, predictive_accuracy: 0.6186, prior_entropy: 0.9664, recall: 0.6186, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.0047, scimark_benchmark: 938.4601, usercpu_time_millis: 4470, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8305, kappa: 0.6432, kb_relative_information_score: 2870.634, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8303, predictive_accuracy: 0.8312, prior_entropy: 0.9664, recall: 0.8312, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7483, scimark_benchmark: 936.9595, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8597, kappa: 0.7028, kb_relative_information_score: 2265.7182, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8635, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6887, scimark_benchmark: 936.9595, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8515, kappa: 0.6855, kb_relative_information_score: 1748.4342, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8547, predictive_accuracy: 0.8538, prior_entropy: 0.9664, recall: 0.8538, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7579, scimark_benchmark: 908.9569, usercpu_time_millis: 10530, usercpu_time_millis_testing: 4930, usercpu_time_millis_training: 5600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8411, kappa: 0.6634, kb_relative_information_score: 1724.9792, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8447, predictive_accuracy: 0.8438, prior_entropy: 0.9664, recall: 0.8438, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7632, scimark_benchmark: 934.7923, usercpu_time_millis: 3670, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8321, kappa: 0.6445, kb_relative_information_score: 1693.8571, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8346, predictive_accuracy: 0.8346, prior_entropy: 0.9664, recall: 0.8346, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7706, scimark_benchmark: 935.3212, usercpu_time_millis: 1300, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8217, kappa: 0.6223, kb_relative_information_score: 1703.7304, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8245, predictive_accuracy: 0.8246, prior_entropy: 0.9664, recall: 0.8246, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7754, scimark_benchmark: 931.6751, usercpu_time_millis: 690, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7976, kappa: 0.5717, kb_relative_information_score: 1639.5102, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.7992, predictive_accuracy: 0.8006, prior_entropy: 0.9664, recall: 0.8006, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7966, scimark_benchmark: 899.0468, usercpu_time_millis: 330, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.858, kappa: 0.7009, kb_relative_information_score: 3181.0738, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8581, predictive_accuracy: 0.8588, prior_entropy: 0.9664, recall: 0.8588, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6614, scimark_benchmark: 941.9549, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.859, kappa: 0.7029, kb_relative_information_score: 3186.9702, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8591, predictive_accuracy: 0.8598, prior_entropy: 0.9664, recall: 0.8598, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6598, scimark_benchmark: 889.4922, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8625, kappa: 0.7102, kb_relative_information_score: 3176.6335, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8626, predictive_accuracy: 0.8632, prior_entropy: 0.9664, recall: 0.8632, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6552, scimark_benchmark: 894.7131, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8633, kappa: 0.7117, kb_relative_information_score: 3068.8102, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8636, predictive_accuracy: 0.8642, prior_entropy: 0.9664, recall: 0.8642, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6501, scimark_benchmark: 929.0296, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8395, kappa: 0.661, kb_relative_information_score: 2715.1177, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8405, predictive_accuracy: 0.8412, prior_entropy: 0.9664, recall: 0.8412, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6851, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.4598, kb_relative_information_score: -1.2724, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9664, recall: 0.608, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4882, root_relative_squared_error: 1, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.6139, kappa: 0.1837, kb_relative_information_score: 637.3744, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.6117, predictive_accuracy: 0.6186, prior_entropy: 0.9664, recall: 0.6186, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.0047, scimark_benchmark: 1313.9976, usercpu_time_millis: 3280, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6668, kappa: 0.2932, kb_relative_information_score: 1518.3152, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.6671, predictive_accuracy: 0.6748, prior_entropy: 0.9664, recall: 0.6748, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1681, scimark_benchmark: 1337.1928, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8305, kappa: 0.6432, kb_relative_information_score: 2870.634, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8303, predictive_accuracy: 0.8312, prior_entropy: 0.9664, recall: 0.8312, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7483, scimark_benchmark: 1335.5309, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8597, kappa: 0.7028, kb_relative_information_score: 2265.7182, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8635, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6887, scimark_benchmark: 1313.5633, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8406, kappa: 0.6647, kb_relative_information_score: 2756.6775, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8404, predictive_accuracy: 0.841, prior_entropy: 0.9664, recall: 0.841, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.737, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.6096, kappa: 0.172, kb_relative_information_score: 584.3169, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.6074, predictive_accuracy: 0.6184, prior_entropy: 0.9664, recall: 0.6184, relative_absolute_error: 0.8824, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9716, scimark_benchmark: 1320.2063, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8329, kappa: 0.6475, kb_relative_information_score: 2393.6677, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8332, predictive_accuracy: 0.8342, prior_entropy: 0.9664, recall: 0.8342, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7115, scimark_benchmark: 1339.8573, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8509, kappa: 0.6865, kb_relative_information_score: 2979.7158, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8508, predictive_accuracy: 0.8514, prior_entropy: 0.9664, recall: 0.8514, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6711, scimark_benchmark: 1330.4755, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 1328.1785, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8583, kappa: 0.7003, kb_relative_information_score: 2931.5099, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 0.9664, recall: 0.86, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6426, scimark_benchmark: 1325.6322, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8597, kappa: 0.7028, kb_relative_information_score: 2265.7182, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8635, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6887, scimark_benchmark: 1322.0065, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8406, kappa: 0.6647, kb_relative_information_score: 2756.6775, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8404, predictive_accuracy: 0.841, prior_entropy: 0.9664, recall: 0.841, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.737, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6668, kappa: 0.2932, kb_relative_information_score: 1518.3152, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.6671, predictive_accuracy: 0.6748, prior_entropy: 0.9664, recall: 0.6748, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1681, scimark_benchmark: 1345.1736, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8305, kappa: 0.6432, kb_relative_information_score: 2870.634, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8303, predictive_accuracy: 0.8312, prior_entropy: 0.9664, recall: 0.8312, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7483, scimark_benchmark: 940.3347, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8597, kappa: 0.7028, kb_relative_information_score: 2265.7182, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8635, predictive_accuracy: 0.862, prior_entropy: 0.9664, recall: 0.862, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6887, scimark_benchmark: 1278.6629, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 932.5646, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 1335.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8295, kappa: 0.6427, kb_relative_information_score: 2915.7127, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4768, number_of_instances: 5000, precision: 0.8297, predictive_accuracy: 0.8294, prior_entropy: 0.9664, recall: 0.8294, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7194, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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