Task
Supervised Classification on fri_c4_100_10

Supervised Classification on fri_c4_100_10

Task 3742 Supervised Classification fri_c4_100_10 769 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: 0.7732, f_measure: 0.7561, kappa: 0.5124, kb_relative_information_score: 43.0614, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7681, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.6702, kappa: 0.3416, kb_relative_information_score: 23.8838, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6737, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.68, kappa: 0.3623, kb_relative_information_score: 24.6054, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6849, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 20.9522, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7871, kappa: 0.5739, kb_relative_information_score: 49.7129, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7976, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, f_measure: 0.6097, kappa: 0.2162, kb_relative_information_score: 18.1213, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6096, predictive_accuracy: 0.61, prior_entropy: 0.9975, recall: 0.61, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.0915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 58.4836, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7899, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6698, kappa: 0.3368, kb_relative_information_score: 22.5774, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6697, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7101, kappa: 0.4186, kb_relative_information_score: 41.1697, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7104, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.6803, kappa: 0.3592, kb_relative_information_score: 35.1625, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6811, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.6279, kappa: 0.2528, kb_relative_information_score: 20.3978, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6291, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6003, kappa: 0.201, kb_relative_information_score: 18.8758, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6026, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.6279, kappa: 0.2528, kb_relative_information_score: 20.3978, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6291, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 22.3066, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8074, kappa: 0.6144, kb_relative_information_score: 53.4401, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8185, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.7002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.7701, kappa: 0.5389, kb_relative_information_score: 27.8928, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 43.756, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 43.756, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6003, kappa: 0.201, kb_relative_information_score: 17.0918, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6026, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.6595, kappa: 0.3241, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6674, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 45.0151, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.68, kappa: 0.3623, kb_relative_information_score: 24.5092, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6849, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.66, kappa: 0.3224, kb_relative_information_score: 18.7155, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6648, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.68, kappa: 0.3623, kb_relative_information_score: 24.5092, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6849, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6498, kappa: 0.2966, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6496, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6603, kappa: 0.3208, kb_relative_information_score: 23.8748, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6627, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7098, kappa: 0.4172, kb_relative_information_score: 35.7701, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7097, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 45.9559, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6498, kappa: 0.2966, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6496, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 45.0151, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.68, kappa: 0.3623, kb_relative_information_score: 24.5092, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6849, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.6691, kappa: 0.3352, kb_relative_information_score: 15.0735, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6694, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7301, kappa: 0.4613, kb_relative_information_score: 34.6286, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7339, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 47.7294, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.6562, kappa: 0.3289, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6792, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.66, kappa: 0.3175, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6502, kappa: 0.2983, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1854, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.6303, kappa: 0.26, kb_relative_information_score: 25.6192, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6318, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2187, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.5803, kappa: 0.161, kb_relative_information_score: 12.2857, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5825, predictive_accuracy: 0.58, prior_entropy: 0.9975, recall: 0.58, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5527, root_relative_squared_error: 1.1074, scimark_benchmark: 1651.1499, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.6303, kappa: 0.26, kb_relative_information_score: 25.6192, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6318, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2187, scimark_benchmark: 1385.3022, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.6303, kappa: 0.26, kb_relative_information_score: 25.6192, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6318, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2187, scimark_benchmark: 1357.0605, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6502, kappa: 0.2983, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1854, scimark_benchmark: 1364.1105, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.66, kappa: 0.3175, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683, scimark_benchmark: 1510.1986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.6595, kappa: 0.3241, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6674, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683, scimark_benchmark: 1175.8881, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.7561, kappa: 0.5124, kb_relative_information_score: 43.0614, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7681, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.8814, scimark_benchmark: 910.9636, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.6902, kappa: 0.3815, kb_relative_information_score: 36.8799, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6938, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.837, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6575, kappa: 0.3273, kb_relative_information_score: 34.3779, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6746, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0029, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.5935, kappa: 0.2123, kb_relative_information_score: 22.4134, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6192, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.0976, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.6321, kappa: 0.2927, kb_relative_information_score: 17.22, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6685, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9365, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.68, kappa: 0.3577, kb_relative_information_score: 36.2907, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.87, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6003, kappa: 0.201, kb_relative_information_score: 17.0918, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6026, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9867, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683, usercpu_time_millis: 0.046, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 47.7294, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0216, usercpu_time_millis: 1.897, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.7573, kappa: 0.5136, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7646, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816, usercpu_time_millis: 0.574, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7202, kappa: 0.4407, kb_relative_information_score: 43.7094, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7228, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0602, usercpu_time_millis: 1.947, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.6595, kappa: 0.3241, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6674, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683, usercpu_time_millis: 4.076, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 4.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.8187, kappa: 0.6361, kb_relative_information_score: 63.8096, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8234, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8501, usercpu_time_millis: 4.676, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 3.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6703, kappa: 0.34, kb_relative_information_score: 33.6593, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6718, predictive_accuracy: 0.67, prior_entropy: 0.9975, recall: 0.67, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.151, usercpu_time_millis: 0.11, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.087,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs