Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261942 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, f_measure: 0.5213, kb_relative_information_score: -0.0731, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9961, scimark_benchmark: 1994.7951, usercpu_time_millis: 0.558, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8099, kappa: 0.5679, kb_relative_information_score: 153.6926, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8641, predictive_accuracy: 0.8286, prior_entropy: 0.9279, recall: 0.8286, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8204, scimark_benchmark: 1990.2739, usercpu_time_millis: 1.352, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.5213, kb_relative_information_score: -2.162, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9988, scimark_benchmark: 1957.1065, usercpu_time_millis: 0.508, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.5213, kb_relative_information_score: 0.3063, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1949.514, usercpu_time_millis: 1.1, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, f_measure: 0.5213, kb_relative_information_score: -3.1583, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9988, scimark_benchmark: 1952.9589, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9963, kb_relative_information_score: 452.4265, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.9279, recall: 0.9983, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3628, scimark_benchmark: 2132.1213, usercpu_time_millis: 9.275, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 8.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9158, kappa: 0.8095, kb_relative_information_score: 239.925, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9247, predictive_accuracy: 0.9185, prior_entropy: 0.9279, recall: 0.9185, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.7039, scimark_benchmark: 2070.9205, usercpu_time_millis: 6.014, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 5.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.5213, kb_relative_information_score: 68.7957, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.9167, scimark_benchmark: 2011.3598, usercpu_time_millis: 2.351, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 2.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.777, kappa: 0.4941, kb_relative_information_score: 130.1148, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8389, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8422, scimark_benchmark: 2061.8981, usercpu_time_millis: 3.365, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 3.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9783, kappa: 0.9518, kb_relative_information_score: 398.6677, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9783, predictive_accuracy: 0.9784, prior_entropy: 0.9279, recall: 0.9784, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4707, scimark_benchmark: 2070.1239, usercpu_time_millis: 0.654, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.5213, kb_relative_information_score: -3.9206, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004, scimark_benchmark: 2083.9347, usercpu_time_millis: 1.351, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.5402, kappa: 0.0317, kb_relative_information_score: 51.1081, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7783, predictive_accuracy: 0.6656, prior_entropy: 0.9279, recall: 0.6656, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9323, scimark_benchmark: 2150.8108, usercpu_time_millis: 0.647, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8853, kappa: 0.7408, kb_relative_information_score: 242.2238, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.891, predictive_accuracy: 0.8885, prior_entropy: 0.9279, recall: 0.8885, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.7104, scimark_benchmark: 1983.8845, usercpu_time_millis: 2.936, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7537, kappa: 0.4416, kb_relative_information_score: 119.8829, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8114, predictive_accuracy: 0.782, prior_entropy: 0.9279, recall: 0.782, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8582, scimark_benchmark: 2075.4962, usercpu_time_millis: 0.192, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.5213, kb_relative_information_score: 54.3568, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9315, scimark_benchmark: 2000.38, usercpu_time_millis: 2.069, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 1.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.5213, kb_relative_information_score: 14.5268, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9787, scimark_benchmark: 2083.9347, usercpu_time_millis: 0.674, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 38.2176, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7762, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9489, scimark_benchmark: 2029.6214, usercpu_time_millis: 2.358, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 2.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.5213, kb_relative_information_score: 30.4135, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9586, scimark_benchmark: 1718.6949, usercpu_time_millis: 0.678, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9508, kappa: 0.8892, kb_relative_information_score: 281.6, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.955, predictive_accuracy: 0.9517, prior_entropy: 0.9279, recall: 0.9517, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6459, scimark_benchmark: 2006.6291, usercpu_time_millis: 0.907, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.5439, kappa: 0.0379, kb_relative_information_score: 60.7514, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7791, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.9223, scimark_benchmark: 2046.7709, usercpu_time_millis: 1.418, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.5213, kb_relative_information_score: 0.1106, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 2005.2905, usercpu_time_millis: 1.028, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 55.4064, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7762, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9302, scimark_benchmark: 2000.4564, usercpu_time_millis: 0.649, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.6882, kappa: 0.3074, kb_relative_information_score: 110.3249, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8156, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8699, scimark_benchmark: 2011.9398, usercpu_time_millis: 0.296, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.98, kappa: 0.9554, kb_relative_information_score: 384.3089, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 0.9279, recall: 0.98, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.4869, scimark_benchmark: 2005.2905, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.5213, kb_relative_information_score: -2.4175, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.998, scimark_benchmark: 2014.0862, usercpu_time_millis: 1.184, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8153, kappa: 0.5797, kb_relative_information_score: 155.0191, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8615, predictive_accuracy: 0.8319, prior_entropy: 0.9279, recall: 0.8319, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8132, scimark_benchmark: 1878.7854, usercpu_time_millis: 3.983, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 3.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8038, kappa: 0.5534, kb_relative_information_score: 153.668, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.841, predictive_accuracy: 0.8203, prior_entropy: 0.9279, recall: 0.8203, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8173, scimark_benchmark: 1792.8636, usercpu_time_millis: 3.196, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 2.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.6841, kappa: 0.2984, kb_relative_information_score: 93.8247, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8078, predictive_accuracy: 0.7404, prior_entropy: 0.9279, recall: 0.7404, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8836, scimark_benchmark: 1869.1029, usercpu_time_millis: 3.193, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 2.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.7539, kappa: 0.4448, kb_relative_information_score: 134.3778, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8391, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8411, scimark_benchmark: 1877.8658, usercpu_time_millis: 2.231, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9613, kappa: 0.9134, kb_relative_information_score: 322.5707, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9627, predictive_accuracy: 0.9617, prior_entropy: 0.9279, recall: 0.9617, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.5889, scimark_benchmark: 1789.6454, usercpu_time_millis: 3.01, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 2.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8981, kappa: 0.769, kb_relative_information_score: 240.0842, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9092, predictive_accuracy: 0.9018, prior_entropy: 0.9279, recall: 0.9018, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.706, scimark_benchmark: 1837.4865, usercpu_time_millis: 3.125, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 2.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.167, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1872.4216, usercpu_time_millis: 0.911, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8946, kappa: 0.7611, kb_relative_information_score: 241.896, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9055, predictive_accuracy: 0.8985, prior_entropy: 0.9279, recall: 0.8985, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7049, scimark_benchmark: 1874.0573, usercpu_time_millis: 1.208, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9493, kappa: 0.886, kb_relative_information_score: 309.1642, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.952, predictive_accuracy: 0.9501, prior_entropy: 0.9279, recall: 0.9501, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.288, root_relative_squared_error: 0.6067, scimark_benchmark: 1841.5568, usercpu_time_millis: 3.934, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 3.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.5213, kb_relative_information_score: 0.7237, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9925, scimark_benchmark: 1792.3216, usercpu_time_millis: 1.662, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.403,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.5235, kappa: -0.0003, kb_relative_information_score: 34.407, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5462, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9559, scimark_benchmark: 1373.4144, usercpu_time_millis: 2.154, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 1.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9867, kappa: 0.9703, kb_relative_information_score: 395.5248, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.9279, recall: 0.9867, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4676, scimark_benchmark: 1367.9963, usercpu_time_millis: 5.913, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 5.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.786, kappa: 0.5148, kb_relative_information_score: 142.3683, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8528, predictive_accuracy: 0.8103, prior_entropy: 0.9279, recall: 0.8103, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8315, scimark_benchmark: 1370.2954, usercpu_time_millis: 4.205, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 3.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.5213, kb_relative_information_score: 58.3034, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9271, scimark_benchmark: 1365.9451, usercpu_time_millis: 2.336, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 1.925,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.8898, kappa: 0.7496, kb_relative_information_score: 201.4878, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9083, predictive_accuracy: 0.8952, prior_entropy: 0.9279, recall: 0.8952, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7583, scimark_benchmark: 1372.649, usercpu_time_millis: 1.742, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.5181, kappa: -0.0132, kb_relative_information_score: 23.1764, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4305, predictive_accuracy: 0.6506, prior_entropy: 0.9279, recall: 0.6506, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9741, scimark_benchmark: 1367.9624, usercpu_time_millis: 1.85, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5213, kb_relative_information_score: -0.1381, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1371.1896, usercpu_time_millis: 0.385, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.226, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1373.9615, usercpu_time_millis: 0.672, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 506.373, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9919, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.2769, scimark_benchmark: 1363.5531, usercpu_time_millis: 3.161, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 2.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2572, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1368.107, usercpu_time_millis: 0.983, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5213, kb_relative_information_score: -4.0972, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0011, scimark_benchmark: 1368.3146, usercpu_time_millis: 1.698, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 1.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 39.3848, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9477, scimark_benchmark: 1371.1809, usercpu_time_millis: 2.789, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 2.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8306, kappa: 0.6143, kb_relative_information_score: 155.7799, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8656, predictive_accuracy: 0.8436, prior_entropy: 0.9279, recall: 0.8436, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8093, scimark_benchmark: 1377.5443, usercpu_time_millis: 3.303, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 2.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.5213, kb_relative_information_score: 57.3701, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9288, scimark_benchmark: 1368.0246, usercpu_time_millis: 2.539, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 2.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5213, kb_relative_information_score: 1.1315, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.995, scimark_benchmark: 1369.589, usercpu_time_millis: 0.817, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9158, kappa: 0.8095, kb_relative_information_score: 248.2666, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9247, predictive_accuracy: 0.9185, prior_entropy: 0.9279, recall: 0.9185, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6941, scimark_benchmark: 1376.3626, usercpu_time_millis: 2.197, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 1.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 435.3952, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 0.9279, recall: 0.995, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3972, scimark_benchmark: 1367.1207, usercpu_time_millis: 3.649, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 3.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5213, kb_relative_information_score: 1.0506, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9947, scimark_benchmark: 1370.8208, usercpu_time_millis: 0.063, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.5213, kb_relative_information_score: 33.9683, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9554, scimark_benchmark: 1365.4277, usercpu_time_millis: 2.035, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 1.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7175, kappa: 0.3649, kb_relative_information_score: 99.6621, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8023, predictive_accuracy: 0.7587, prior_entropy: 0.9279, recall: 0.7587, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8742, scimark_benchmark: 1369.7051, usercpu_time_millis: 1.117, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.5213, kb_relative_information_score: 2.7293, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9925, scimark_benchmark: 1366.4013, usercpu_time_millis: 0.851, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.5213, kb_relative_information_score: 19.1503, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9733, scimark_benchmark: 1371.3251, usercpu_time_millis: 2.095, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.5213, kb_relative_information_score: 55.2859, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.931, scimark_benchmark: 1340.2927, usercpu_time_millis: 0.676, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.5213, kb_relative_information_score: -0.1393, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1370.5731, usercpu_time_millis: 0.308, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.5213, kb_relative_information_score: 62.5247, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9231, scimark_benchmark: 1377.3715, usercpu_time_millis: 2.722, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 2.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.5213, kb_relative_information_score: 73.9399, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9021, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9115, scimark_benchmark: 1365.8027, usercpu_time_millis: 3.152, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.5213, kb_relative_information_score: 0.0316, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1362.737, usercpu_time_millis: 0.524, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.5213, kb_relative_information_score: -5.5858, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006, scimark_benchmark: 1371.0752, usercpu_time_millis: 1.359, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9064, kappa: 0.7878, kb_relative_information_score: 233.7883, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9198, predictive_accuracy: 0.9102, prior_entropy: 0.9279, recall: 0.9102, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.7149, scimark_benchmark: 1368.2992, usercpu_time_millis: 1.59, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.5281, kappa: 0.0094, kb_relative_information_score: 43.3394, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6615, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9407, scimark_benchmark: 1367.7252, usercpu_time_millis: 1.448, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.6433, kappa: 0.2165, kb_relative_information_score: 72.3039, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7848, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9111, scimark_benchmark: 1370.9368, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8974, kappa: 0.7682, kb_relative_information_score: 236.1755, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9032, predictive_accuracy: 0.9002, prior_entropy: 0.9279, recall: 0.9002, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.7103, scimark_benchmark: 1363.0169, usercpu_time_millis: 4.298, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 3.627,

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