OpenML
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113807 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7288, kappa: 0.3242, kb_relative_information_score: 1192.4164, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7264, predictive_accuracy: 0.7428, prior_entropy: 0.8733, recall: 0.7428, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.872, scimark_benchmark: 1286.7547, usercpu_time_millis: 74.152, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 74.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7374, kappa: 0.3486, kb_relative_information_score: 1251.3601, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7345, predictive_accuracy: 0.7482, prior_entropy: 0.8733, recall: 0.7482, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8723, scimark_benchmark: 1313.4083, usercpu_time_millis: 42.592, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 42.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.585, kb_relative_information_score: 248.3084, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9634, scimark_benchmark: 1304.903, usercpu_time_millis: 96.739, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 96.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8297, kappa: 0.5848, kb_relative_information_score: 2412.1795, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8286, predictive_accuracy: 0.8318, prior_entropy: 0.8733, recall: 0.8318, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.7521, scimark_benchmark: 1310.2491, usercpu_time_millis: 94.824, usercpu_time_millis_testing: 1.669, usercpu_time_millis_training: 93.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.585, kb_relative_information_score: 77.6623, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9885, scimark_benchmark: 1311.245, usercpu_time_millis: 85.446, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 85.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9041, kappa: 0.7684, kb_relative_information_score: 3771.2698, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.904, predictive_accuracy: 0.9043, prior_entropy: 0.8733, recall: 0.9043, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.5889, scimark_benchmark: 1304.2006, usercpu_time_millis: 298.808, usercpu_time_millis_testing: 4.759, usercpu_time_millis_training: 294.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.87, kappa: 0.6842, kb_relative_information_score: 2937.0324, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8694, predictive_accuracy: 0.871, prior_entropy: 0.8733, recall: 0.871, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6681, scimark_benchmark: 1307.1024, usercpu_time_millis: 372.439, usercpu_time_millis_testing: 7.283, usercpu_time_millis_training: 365.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7541, kappa: 0.3958, kb_relative_information_score: 926.0035, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7513, predictive_accuracy: 0.76, prior_entropy: 0.8733, recall: 0.76, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8761, scimark_benchmark: 1284.9643, usercpu_time_millis: 15.924, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 15.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.6513, kappa: 0.1236, kb_relative_information_score: 765.5194, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6701, predictive_accuracy: 0.7115, prior_entropy: 0.8733, recall: 0.7115, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8976, scimark_benchmark: 1303.7199, usercpu_time_millis: 23.238, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 23.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.8879, kappa: 0.7283, kb_relative_information_score: 0.71, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8875, predictive_accuracy: 0.8884, prior_entropy: 0.8732, recall: 0.8884, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.334, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8958, kappa: 0.748, kb_relative_information_score: 0.7302, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8956, predictive_accuracy: 0.8962, prior_entropy: 0.8732, recall: 0.8962, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.6785, kappa: 0.1886, kb_relative_information_score: 847.3695, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6886, predictive_accuracy: 0.7204, prior_entropy: 0.8733, recall: 0.7204, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8906, scimark_benchmark: 1307.8991, usercpu_time_millis: 26.497, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 26.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.6849, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, scimark_benchmark: 1309.1017, usercpu_time_millis: 63.918, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 63.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.585, kb_relative_information_score: 300.307, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.956, scimark_benchmark: 1309.5384, usercpu_time_millis: 72.616, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 72.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3295, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1309.9997, usercpu_time_millis: 88.941, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 88.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7391, kappa: 0.3535, kb_relative_information_score: 1275.1834, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.736, predictive_accuracy: 0.7491, prior_entropy: 0.8733, recall: 0.7491, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8727, scimark_benchmark: 1305.4883, usercpu_time_millis: 67.806, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 67.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8607, kappa: 0.6619, kb_relative_information_score: 2999.6906, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8601, predictive_accuracy: 0.8616, prior_entropy: 0.8733, recall: 0.8616, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.693, scimark_benchmark: 1306.5892, usercpu_time_millis: 116.922, usercpu_time_millis_testing: 1.726, usercpu_time_millis_training: 115.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.8041, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, scimark_benchmark: 1276.2921, usercpu_time_millis: 91.058, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 91.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7377, kappa: 0.3497, kb_relative_information_score: 1262.0573, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7347, predictive_accuracy: 0.7482, prior_entropy: 0.8733, recall: 0.7482, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8725, scimark_benchmark: 1304.3153, usercpu_time_millis: 91.35, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 91.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.802, kappa: 0.5154, kb_relative_information_score: 1947.6724, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8004, predictive_accuracy: 0.8055, prior_entropy: 0.8733, recall: 0.8055, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7837, scimark_benchmark: 1275.0525, usercpu_time_millis: 57.287, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 56.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8853, kappa: 0.7222, kb_relative_information_score: 3175.144, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8849, predictive_accuracy: 0.8858, prior_entropy: 0.8733, recall: 0.8858, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.6398, scimark_benchmark: 1309.6474, usercpu_time_millis: 305.955, usercpu_time_millis_testing: 6.268, usercpu_time_millis_training: 299.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7192, kappa: 0.2971, kb_relative_information_score: 1115.961, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7177, predictive_accuracy: 0.737, prior_entropy: 0.8733, recall: 0.737, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8734, scimark_benchmark: 1292.0066, usercpu_time_millis: 34.011, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 33.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7725, kappa: 0.429, kb_relative_information_score: 420.2218, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7813, predictive_accuracy: 0.7896, prior_entropy: 0.8733, recall: 0.7896, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.9013, scimark_benchmark: 1309.6843, usercpu_time_millis: 300.261, usercpu_time_millis_testing: 5.131, usercpu_time_millis_training: 295.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7693, kappa: 0.4406, kb_relative_information_score: -1021.1343, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7682, predictive_accuracy: 0.7707, prior_entropy: 0.8733, recall: 0.7707, relative_absolute_error: 1.092, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0038, scimark_benchmark: 1291.4291, usercpu_time_millis: 2.345, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 2.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6888, kappa: 0.2147, kb_relative_information_score: 929.5933, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6953, predictive_accuracy: 0.7241, prior_entropy: 0.8733, recall: 0.7241, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8827, scimark_benchmark: 1299.7506, usercpu_time_millis: 49.265, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 49.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7233, kappa: 0.3085, kb_relative_information_score: 1137.9649, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7213, predictive_accuracy: 0.7395, prior_entropy: 0.8733, recall: 0.7395, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8733, scimark_benchmark: 1309.8881, usercpu_time_millis: 20.722, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 20.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7382, kappa: 0.3506, kb_relative_information_score: 1233.3947, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7353, predictive_accuracy: 0.7489, prior_entropy: 0.8733, recall: 0.7489, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8719, scimark_benchmark: 1308.7043, usercpu_time_millis: 65.261, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 65.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7375, kappa: 0.3489, kb_relative_information_score: 1255.9346, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7345, predictive_accuracy: 0.7482, prior_entropy: 0.8733, recall: 0.7482, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8724, scimark_benchmark: 1277.2156, usercpu_time_millis: 27.533, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 27.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7391, kappa: 0.3535, kb_relative_information_score: 1275.9941, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.736, predictive_accuracy: 0.7491, prior_entropy: 0.8733, recall: 0.7491, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8727, scimark_benchmark: 1260.1741, usercpu_time_millis: 79.744, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 79.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 1276.7938, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8733, recall: 0.7498, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8727, scimark_benchmark: 1284.3295, usercpu_time_millis: 55.979, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 55.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.7343, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, scimark_benchmark: 1312.5933, usercpu_time_millis: 25.857, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 25.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8929, kappa: 0.7409, kb_relative_information_score: 3469.2571, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8926, predictive_accuracy: 0.8932, prior_entropy: 0.8733, recall: 0.8932, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.6115, scimark_benchmark: 1290.5987, usercpu_time_millis: 521.895, usercpu_time_millis_testing: 8.522, usercpu_time_millis_training: 513.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7959, kappa: 0.4982, kb_relative_information_score: 1776.3328, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7944, predictive_accuracy: 0.8009, prior_entropy: 0.8733, recall: 0.8009, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.8118, scimark_benchmark: 1307.086, usercpu_time_millis: 68.443, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 67.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7424, kappa: 0.3612, kb_relative_information_score: 990.3925, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7397, predictive_accuracy: 0.7528, prior_entropy: 0.8733, recall: 0.7528, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8742, scimark_benchmark: 1294.7035, usercpu_time_millis: 30.361, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 30.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1281.4185, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8728, scimark_benchmark: 1288.8796, usercpu_time_millis: 77.523, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 77.508,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8321, kappa: 0.5901, kb_relative_information_score: 2223.1205, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8311, predictive_accuracy: 0.8346, prior_entropy: 0.8733, recall: 0.8346, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7458, scimark_benchmark: 1313.444, usercpu_time_millis: 253.256, usercpu_time_millis_testing: 5.072, usercpu_time_millis_training: 248.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7395, kappa: 0.3547, kb_relative_information_score: 1278.5881, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7365, predictive_accuracy: 0.7494, prior_entropy: 0.8733, recall: 0.7494, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, scimark_benchmark: 1281.234, usercpu_time_millis: 81.862, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 81.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1279.7966, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, scimark_benchmark: 1302.5246, usercpu_time_millis: 5.435, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 5.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7277, kappa: 0.3211, kb_relative_information_score: 1185.6145, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7252, predictive_accuracy: 0.7419, prior_entropy: 0.8733, recall: 0.7419, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8723, scimark_benchmark: 1294.8014, usercpu_time_millis: 73.518, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 73.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6939, kappa: 0.228, kb_relative_information_score: 959.8063, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6984, predictive_accuracy: 0.7258, prior_entropy: 0.8733, recall: 0.7258, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8807, scimark_benchmark: 1283.4228, usercpu_time_millis: 57.476, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 57.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7391, kappa: 0.3535, kb_relative_information_score: 1277.9301, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.736, predictive_accuracy: 0.7491, prior_entropy: 0.8733, recall: 0.7491, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, scimark_benchmark: 1310.2949, usercpu_time_millis: 80.231, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 80.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7337, kappa: 0.3381, kb_relative_information_score: 1228.3083, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7309, predictive_accuracy: 0.7457, prior_entropy: 0.8733, recall: 0.7457, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8721, scimark_benchmark: 1285.7483, usercpu_time_millis: 36.407, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 36.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8115, kappa: 0.5371, kb_relative_information_score: 1956.3986, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8103, predictive_accuracy: 0.8157, prior_entropy: 0.8733, recall: 0.8157, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7768, scimark_benchmark: 1296.9377, usercpu_time_millis: 207.413, usercpu_time_millis_testing: 2.425, usercpu_time_millis_training: 204.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7391, kappa: 0.3535, kb_relative_information_score: 1276.927, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.736, predictive_accuracy: 0.7491, prior_entropy: 0.8733, recall: 0.7491, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8727, scimark_benchmark: 1276.0065, usercpu_time_millis: 46.354, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 46.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.8911, kappa: 0.7364, kb_relative_information_score: 3498.2007, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8908, predictive_accuracy: 0.8916, prior_entropy: 0.8733, recall: 0.8916, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.6264, scimark_benchmark: 1306.6577, usercpu_time_millis: 326.747, usercpu_time_millis_testing: 5.843, usercpu_time_millis_training: 320.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8658, kappa: 0.6744, kb_relative_information_score: 3118.8725, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8653, predictive_accuracy: 0.8668, prior_entropy: 0.8733, recall: 0.8668, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6839, scimark_benchmark: 1286.3474, usercpu_time_millis: 124.329, usercpu_time_millis_testing: 2.698, usercpu_time_millis_training: 121.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.742, kappa: 0.36, kb_relative_information_score: 680.9219, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7393, predictive_accuracy: 0.7524, prior_entropy: 0.8733, recall: 0.7524, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8873, scimark_benchmark: 1287.3292, usercpu_time_millis: 11.156, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 11.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.6291, kappa: 0.0739, kb_relative_information_score: -869.8803, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.65, predictive_accuracy: 0.7045, prior_entropy: 0.8733, recall: 0.7045, relative_absolute_error: 1.0773, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9948, scimark_benchmark: 1311.1527, usercpu_time_millis: 5.135, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 5.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7237, kappa: 0.3101, kb_relative_information_score: 1107.7798, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7215, predictive_accuracy: 0.7393, prior_entropy: 0.8733, recall: 0.7393, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8728, scimark_benchmark: 1289.2324, usercpu_time_millis: 94.172, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 94.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7365, kappa: 0.3451, kb_relative_information_score: 886.7396, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7339, predictive_accuracy: 0.7483, prior_entropy: 0.8733, recall: 0.7483, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8779, scimark_benchmark: 1309.1989, usercpu_time_millis: 34.908, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 34.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7074, kappa: 0.2647, kb_relative_information_score: 1051.2864, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7077, predictive_accuracy: 0.7308, prior_entropy: 0.8733, recall: 0.7308, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8758, scimark_benchmark: 1286.6344, usercpu_time_millis: 78.252, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 78.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7375, kappa: 0.3489, kb_relative_information_score: 1255.792, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7345, predictive_accuracy: 0.7482, prior_entropy: 0.8733, recall: 0.7482, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8724, scimark_benchmark: 1281.7871, usercpu_time_millis: 23.519, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 23.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7685, kappa: 0.4371, kb_relative_information_score: 60.9967, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7669, predictive_accuracy: 0.7707, prior_entropy: 0.8733, recall: 0.7707, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.9293, scimark_benchmark: 1284.5194, usercpu_time_millis: 0.488, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7303, kappa: 0.328, kb_relative_information_score: 958.5459, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7279, predictive_accuracy: 0.7441, prior_entropy: 0.8733, recall: 0.7441, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8759, scimark_benchmark: 1282.4499, usercpu_time_millis: 38.215, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 38.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7375, kappa: 0.3491, kb_relative_information_score: 1260.4906, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7345, predictive_accuracy: 0.748, prior_entropy: 0.8733, recall: 0.748, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8724, scimark_benchmark: 1276.9648, usercpu_time_millis: 35.033, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 35.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6854, kappa: 0.206, kb_relative_information_score: 891.4356, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.693, predictive_accuracy: 0.7228, prior_entropy: 0.8733, recall: 0.7228, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8845, scimark_benchmark: 1295.978, usercpu_time_millis: 73.354, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 73.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8787, kappa: 0.7063, kb_relative_information_score: 3294.219, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8783, predictive_accuracy: 0.8792, prior_entropy: 0.8733, recall: 0.8792, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.6481, scimark_benchmark: 1311.4722, usercpu_time_millis: 47.875, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 47.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7217, kappa: 0.3042, kb_relative_information_score: 1132.4615, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7199, predictive_accuracy: 0.7385, prior_entropy: 0.8733, recall: 0.7385, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.873, scimark_benchmark: 1307.6709, usercpu_time_millis: 18.669, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 18.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8284, kappa: 0.5805, kb_relative_information_score: 2066.0888, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8273, predictive_accuracy: 0.8311, prior_entropy: 0.8733, recall: 0.8311, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7586, scimark_benchmark: 1290.5517, usercpu_time_millis: 55.536, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 54.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.6263, kappa: 0.0776, kb_relative_information_score: 661.9735, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6929, predictive_accuracy: 0.7158, prior_entropy: 0.8733, recall: 0.7158, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.906, scimark_benchmark: 1315.8328, usercpu_time_millis: 48.753, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 48.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8001, kappa: 0.5108, kb_relative_information_score: -663.5456, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7985, predictive_accuracy: 0.8037, prior_entropy: 0.8733, recall: 0.8037, relative_absolute_error: 1.0514, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9688, scimark_benchmark: 1311.2409, usercpu_time_millis: 30.342, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 29.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.4056, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, scimark_benchmark: 1306.5751, usercpu_time_millis: 7.04, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 7.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7374, kappa: 0.3474, kb_relative_information_score: 685.0507, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7349, predictive_accuracy: 0.7493, prior_entropy: 0.8733, recall: 0.7493, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8871, scimark_benchmark: 1307.021, usercpu_time_millis: 9.573, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 9.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7399, kappa: 0.3558, kb_relative_information_score: 1260.9515, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7368, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8723, scimark_benchmark: 1308.7448, usercpu_time_millis: 9.667, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 9.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8557, kappa: 0.6492, kb_relative_information_score: 2607.3904, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.855, predictive_accuracy: 0.857, prior_entropy: 0.8733, recall: 0.857, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.706, scimark_benchmark: 1316.5137, usercpu_time_millis: 113.238, usercpu_time_millis_testing: 1.923, usercpu_time_millis_training: 111.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.585, kb_relative_information_score: 12.4591, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9402, scimark_benchmark: 1289.9186, usercpu_time_millis: 354.321, usercpu_time_millis_testing: 4.511, usercpu_time_millis_training: 349.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7242, kappa: 0.3112, kb_relative_information_score: 1149.3682, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.722, predictive_accuracy: 0.7398, prior_entropy: 0.8733, recall: 0.7398, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8725, scimark_benchmark: 1310.078, usercpu_time_millis: 14.128, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 14.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.585, kb_relative_information_score: -1963.5819, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.2056, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5, root_relative_squared_error: 1.098, scimark_benchmark: 1310.1806, usercpu_time_millis: 2.149, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 2.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8853, kappa: 0.7222, kb_relative_information_score: 3172.1219, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8849, predictive_accuracy: 0.8858, prior_entropy: 0.8733, recall: 0.8858, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6415, scimark_benchmark: 1295.7428, usercpu_time_millis: 247.116, usercpu_time_millis_testing: 4.626, usercpu_time_millis_training: 242.49,

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