OpenML
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: 0.6293, f_measure: 0.6302, kappa: 0.2582, kb_relative_information_score: 25.6192, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6305, 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, usercpu_time_millis: 0.063, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.048,
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: 0.085, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.061,
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, usercpu_time_millis: 0.181, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7498, kappa: 0.5024, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.757, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0018, usercpu_time_millis: 1.379, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.64, kappa: 0.2774, kb_relative_information_score: 27.6292, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2022, usercpu_time_millis: 0.077, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6394, kappa: 0.2757, kb_relative_information_score: 27.6292, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6394, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2022, usercpu_time_millis: 0.179, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 47.7294, mean_absolute_error: 0.26, 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: 0.5218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0216, usercpu_time_millis: 0.781, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 0.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 47.7294, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, 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: 5.605, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 4.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7502, kappa: 0.5, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7518, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7202, kappa: 0.4393, kb_relative_information_score: 43.7094, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.721, 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, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6302, kappa: 0.2618, kb_relative_information_score: 25.6192, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6335, 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: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7389, kappa: 0.4756, kb_relative_information_score: 31.5807, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7403, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9041, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.76, kappa: 0.5183, kb_relative_information_score: 41.0391, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8624, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6988, kappa: 0.3949, kb_relative_information_score: 16.4047, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6998, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9564, scimark_benchmark: 1870.7932,
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, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6503, kappa: 0.3, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6518, 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: 0.7698, f_measure: 0.7701, kappa: 0.5389, kb_relative_information_score: 53.7595, mean_absolute_error: 0.23, 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: 0.4616, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.6795, kappa: 0.3561, kb_relative_information_score: 31.2773, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6795, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.966, scimark_benchmark: 1806.5905,
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, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 39.7842, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9011, scimark_benchmark: 1806.5905,
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, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.6795, kappa: 0.3561, kb_relative_information_score: 35.1003, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6795, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5596, root_relative_squared_error: 1.1212, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6394, kappa: 0.2757, kb_relative_information_score: 27.1866, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6394, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5935, root_relative_squared_error: 1.1892, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.6883, kappa: 0.374, kb_relative_information_score: 16.3891, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.69, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9564, scimark_benchmark: 1877.5305,
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, scimark_benchmark: 1850.8887,
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, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 61.7996, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8734, usercpu_time_millis: 284.472, usercpu_time_millis_testing: 3.043, usercpu_time_millis_training: 281.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7389, kappa: 0.4756, kb_relative_information_score: 47.7294, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7403, 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: 73.858, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 73.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, 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: 7.711, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 7.523,
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, usercpu_time_millis: 0.189, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7894, kappa: 0.577, kb_relative_information_score: 57.7795, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9182, usercpu_time_millis: 0.72, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.6803, kappa: 0.3608, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6827, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334, usercpu_time_millis: 0.228, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.6898, kappa: 0.383, kb_relative_information_score: 37.6793, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6964, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1156, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3672, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, 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: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, usercpu_time_millis: 0.115, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7498, kappa: 0.5024, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.757, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0018, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.8295, kappa: 0.6575, kb_relative_information_score: 65.8196, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8306, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8261, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.5994, kappa: 0.2048, kb_relative_information_score: 19.5892, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6065, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2672, usercpu_time_millis: 6.672, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 6.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, f_measure: 0.4888, kappa: 0.0791, kb_relative_information_score: 11.5491, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5816, predictive_accuracy: 0.56, prior_entropy: 0.9975, recall: 0.56, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.329, usercpu_time_millis: 0.512, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7498, kappa: 0.4976, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0018, usercpu_time_millis: 1.015, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 0.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.6777, kappa: 0.353, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6803, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334, usercpu_time_millis: 0.992, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.6403, kappa: 0.2809, kb_relative_information_score: 27.6292, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6426, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2022, usercpu_time_millis: 0.153, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.68, kappa: 0.3623, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, 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: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.3626, kappa: -0.02, kb_relative_information_score: 3.509, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2784, predictive_accuracy: 0.52, prior_entropy: 0.9975, recall: 0.52, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3881, usercpu_time_millis: 0.075, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.057,
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: 0.084, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.64, kappa: 0.2774, kb_relative_information_score: 27.6292, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2022, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.351,
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: 0.546, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.506,
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, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6394, kappa: 0.2757, kb_relative_information_score: 27.6292, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6394, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2022, usercpu_time_millis: 1.361, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.7285, kappa: 0.4548, kb_relative_information_score: 45.7194, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7307, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0411, usercpu_time_millis: 1.454, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6403, kappa: 0.2791, kb_relative_information_score: 27.6292, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6411, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2022, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6503, kappa: 0.3, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6518, 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, usercpu_time_millis: 0.049, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.038,
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: 0.16, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6803, kappa: 0.3592, kb_relative_information_score: 35.6693, mean_absolute_error: 0.32, 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: 0.6423, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1334, usercpu_time_millis: 0.044, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.76, kappa: 0.5183, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.76, 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: 18.2, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 17.297,
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, usercpu_time_millis: 0.629, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3672, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, 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: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.084,
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: 0.18, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8002, kappa: 0.5995, kb_relative_information_score: 59.7896, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896, usercpu_time_millis: 0.538, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, f_measure: 0.4888, kappa: 0.0791, kb_relative_information_score: 11.5491, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5816, predictive_accuracy: 0.56, prior_entropy: 0.9975, recall: 0.56, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.329, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 43.7094, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, 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: 0.306, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 45.7194, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0411, usercpu_time_millis: 0.765, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.6385, kappa: 0.2739, kb_relative_information_score: 27.6292, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6392, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2022, usercpu_time_millis: 0.257, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 47.7294, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, 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: 6.551, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 5.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.3672, kb_relative_information_score: 0.7005, mean_absolute_error: 0.4955, 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: 0.9946, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.3672, kb_relative_information_score: 0.7005, mean_absolute_error: 0.4955, 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: 0.9946, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.3672, kb_relative_information_score: 0.7005, mean_absolute_error: 0.4955, 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: 0.9946, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, 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: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 34.5026, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 34.5026, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 28.6169, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, 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: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 28.6169, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, 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: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, 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: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, 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: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 22.4457, mean_absolute_error: 0.3967, 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: 0.7963, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 34.5026, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, 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: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 28.6169, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 28.6169, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 22.4457, mean_absolute_error: 0.3967, 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: 0.7963, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 22.4457, mean_absolute_error: 0.3967, 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: 0.7963, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,

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