OpenML
Supervised Classification on fri_c2_100_50

Supervised Classification on fri_c2_100_50

Task 3785 Supervised Classification fri_c2_100_50 554 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: 0.8664, f_measure: 0.8193, kappa: 0.6281, kb_relative_information_score: 59.0856, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8193, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7858, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4672, f_measure: 0.4258, kb_relative_information_score: -0.1303, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0008, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8097, kappa: 0.6087, kb_relative_information_score: 61.1077, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8095, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.85, scimark_benchmark: 926.5859, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8394, kappa: 0.6694, kb_relative_information_score: 66.3471, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8395, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7974, scimark_benchmark: 935.6052, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8497, kappa: 0.6911, kb_relative_information_score: 66.0838, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8496, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7739, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8297, kappa: 0.6499, kb_relative_information_score: 64.3063, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8296, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7954, scimark_benchmark: 940.0055, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8303, kappa: 0.6522, kb_relative_information_score: 63.9508, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8307, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7846, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 12.8658, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.82, kappa: 0.6305, kb_relative_information_score: 59.6752, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8441, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8387, kappa: 0.6672, kb_relative_information_score: 30.6866, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8065, scimark_benchmark: 923.7471, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.76, kappa: 0.5074, kb_relative_information_score: 26.2759, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9822, recall: 0.76, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8391, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.84, kappa: 0.6716, kb_relative_information_score: 61.2711, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7313, scimark_benchmark: 907.1091, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8103, kappa: 0.6113, kb_relative_information_score: 50.0972, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7988, scimark_benchmark: 926.4745, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8405, kappa: 0.6737, kb_relative_information_score: 65.3515, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8416, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.3489, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7506, scimark_benchmark: 934.929, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.719, kappa: 0.4215, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7185, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, scimark_benchmark: 939.3886, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.88, kappa: 0.7537, kb_relative_information_score: 59.3648, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6495, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.72, kappa: 0.4253, kb_relative_information_score: 30.8748, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9033, scimark_benchmark: 946.6409, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8311, kappa: 0.6589, kb_relative_information_score: 60.9219, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8403, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7188, scimark_benchmark: 946.6409, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8698, kappa: 0.7323, kb_relative_information_score: 37.5603, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7425, scimark_benchmark: 935.627, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.84, kappa: 0.6716, kb_relative_information_score: 61.2711, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7313, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.719, kappa: 0.4215, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7185, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, scimark_benchmark: 1322.6191, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.719, kappa: 0.4215, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7185, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, scimark_benchmark: 1322.0065, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8508, kappa: 0.6971, kb_relative_information_score: 64.3843, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8559, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6913, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 1335.974, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8698, kappa: 0.7323, kb_relative_information_score: 37.5603, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7425, scimark_benchmark: 1318.6467, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.84, kappa: 0.6716, kb_relative_information_score: 61.2711, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7313, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8508, kappa: 0.6971, kb_relative_information_score: 64.3843, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8559, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6913, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.719, kappa: 0.4215, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7185, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, scimark_benchmark: 1303.5632, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.719, kappa: 0.4215, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7185, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, scimark_benchmark: 1346.2927, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8508, kappa: 0.6971, kb_relative_information_score: 64.3843, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8559, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6913, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 908.2231,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8311, kappa: 0.6589, kb_relative_information_score: 60.9219, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8403, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7188, scimark_benchmark: 1354.3488, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8508, kappa: 0.6971, kb_relative_information_score: 64.3843, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8559, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6913, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.88, kappa: 0.7537, kb_relative_information_score: 59.3648, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6495, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8698, kappa: 0.7323, kb_relative_information_score: 37.5603, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7425, scimark_benchmark: 1278.6629, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.84, kappa: 0.6716, kb_relative_information_score: 61.2711, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7313, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8508, kappa: 0.6971, kb_relative_information_score: 64.3843, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8559, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6913, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.72, kappa: 0.4253, kb_relative_information_score: 30.8748, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9033, scimark_benchmark: 1331.5882, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8508, kappa: 0.6971, kb_relative_information_score: 64.3843, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8559, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6913, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.88, kappa: 0.7537, kb_relative_information_score: 59.3648, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6495, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.84, kappa: 0.6716, kb_relative_information_score: 61.2711, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7313, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.751, kappa: 0.4919, kb_relative_information_score: 45.3155, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7533, predictive_accuracy: 0.75, prior_entropy: 0.9822, recall: 0.75, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9718, scimark_benchmark: 1371.9645, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8405, kappa: 0.6737, kb_relative_information_score: 65.3515, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8416, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.3489, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7506, scimark_benchmark: 1328.1545, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.88, kappa: 0.7537, kb_relative_information_score: 59.3648, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6495, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8311, kappa: 0.6589, kb_relative_information_score: 60.9219, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8403, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7188, scimark_benchmark: 1312.0581, usercpu_time_millis: 110, usercpu_time_millis_training: 110,

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