Task
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: 0.8944, f_measure: 0.8129, kappa: 0.5357, kb_relative_information_score: -1616.1128, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8148, predictive_accuracy: 0.8207, prior_entropy: 0.8733, recall: 0.8207, relative_absolute_error: 1.1602, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0575, scimark_benchmark: 1305.3036, usercpu_time_millis: 1.674, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7645, kappa: 0.425, kb_relative_information_score: 555.7093, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7623, predictive_accuracy: 0.768, prior_entropy: 0.8733, recall: 0.768, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8944, scimark_benchmark: 1311.9753, usercpu_time_millis: 12.61, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 12.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.885, kappa: 0.7215, kb_relative_information_score: 3677.661, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8846, predictive_accuracy: 0.8855, prior_entropy: 0.8733, recall: 0.8855, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6672, scimark_benchmark: 1304.5036, usercpu_time_millis: 262.06, usercpu_time_millis_testing: 5.089, usercpu_time_millis_training: 256.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7378, kappa: 0.3487, kb_relative_information_score: 1118.1518, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7351, predictive_accuracy: 0.7493, prior_entropy: 0.8733, recall: 0.7493, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.872, scimark_benchmark: 1282.492, usercpu_time_millis: 28.856, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 28.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7331, kappa: 0.3362, kb_relative_information_score: 1221.9312, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7304, predictive_accuracy: 0.7456, prior_entropy: 0.8733, recall: 0.7456, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.872, scimark_benchmark: 1284.7396, usercpu_time_millis: 85.539, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 85.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3116, 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: 1292.5659, usercpu_time_millis: 98.994, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 98.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7251, kappa: 0.314, kb_relative_information_score: 1160.4882, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7227, predictive_accuracy: 0.74, prior_entropy: 0.8733, recall: 0.74, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, scimark_benchmark: 1293.7287, usercpu_time_millis: 37.818, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 37.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7368, kappa: 0.3469, kb_relative_information_score: 1248.0603, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7339, predictive_accuracy: 0.7478, prior_entropy: 0.8733, recall: 0.7478, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8723, scimark_benchmark: 1280.0649, usercpu_time_millis: 51.169, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 51.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7239, kappa: 0.3103, kb_relative_information_score: 1148.9123, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7219, predictive_accuracy: 0.7398, prior_entropy: 0.8733, recall: 0.7398, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8726, scimark_benchmark: 1290.8326, usercpu_time_millis: 88.217, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 88.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8705, kappa: 0.6859, kb_relative_information_score: 2908.9203, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.87, predictive_accuracy: 0.8714, prior_entropy: 0.8733, recall: 0.8714, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6771, scimark_benchmark: 1284.059, usercpu_time_millis: 386.317, usercpu_time_millis_testing: 5.805, usercpu_time_millis_training: 380.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.6179, 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: 1306.4207, usercpu_time_millis: 84.263, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 84.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6681, kappa: 0.165, kb_relative_information_score: 814.8188, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6941, predictive_accuracy: 0.7234, prior_entropy: 0.8733, recall: 0.7234, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8918, scimark_benchmark: 1293.9953, usercpu_time_millis: 103.887, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 103.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7266, kappa: 0.3181, kb_relative_information_score: 1179.4193, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7241, predictive_accuracy: 0.7411, prior_entropy: 0.8733, recall: 0.7411, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8722, scimark_benchmark: 1304.0616, usercpu_time_millis: 80.628, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 80.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7363, kappa: 0.3456, kb_relative_information_score: 1249.1497, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7333, predictive_accuracy: 0.7472, prior_entropy: 0.8733, recall: 0.7472, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8723, scimark_benchmark: 1289.3604, usercpu_time_millis: 12.053, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 12.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8138, kappa: 0.5434, kb_relative_information_score: 1762.8054, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8125, predictive_accuracy: 0.8175, prior_entropy: 0.8733, recall: 0.8175, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7842, scimark_benchmark: 1285.8954, usercpu_time_millis: 197.662, usercpu_time_millis_testing: 3.461, usercpu_time_millis_training: 194.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7381, kappa: 0.3508, kb_relative_information_score: 1269.0248, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.735, predictive_accuracy: 0.7483, prior_entropy: 0.8733, recall: 0.7483, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8726, scimark_benchmark: 1286.9164, usercpu_time_millis: 17.07, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 17.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8727, kappa: 0.6907, kb_relative_information_score: 2735.2742, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8722, predictive_accuracy: 0.8738, prior_entropy: 0.8733, recall: 0.8738, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6718, scimark_benchmark: 1300.757, usercpu_time_millis: 154.919, usercpu_time_millis_testing: 2.331, usercpu_time_millis_training: 152.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7221, kappa: 0.3051, kb_relative_information_score: 1119.9451, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7206, predictive_accuracy: 0.7393, prior_entropy: 0.8733, recall: 0.7393, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8738, scimark_benchmark: 1277.205, usercpu_time_millis: 26.095, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 26.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.883, kappa: 0.7169, kb_relative_information_score: 3285.3057, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8827, predictive_accuracy: 0.8834, prior_entropy: 0.8733, recall: 0.8834, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6429, scimark_benchmark: 1306.7083, usercpu_time_millis: 286.652, usercpu_time_millis_testing: 5.704, usercpu_time_millis_training: 280.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7404, kappa: 0.357, kb_relative_information_score: 1252.1043, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7373, predictive_accuracy: 0.75, prior_entropy: 0.8733, recall: 0.75, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8721, scimark_benchmark: 1288.5185, usercpu_time_millis: 29.593, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 29.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6681, kappa: 0.165, kb_relative_information_score: 814.8433, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6941, predictive_accuracy: 0.7234, prior_entropy: 0.8733, recall: 0.7234, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8918, scimark_benchmark: 1289.9411, usercpu_time_millis: 48.04, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 48.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.585, kb_relative_information_score: 33.3939, mean_absolute_error: 0.4126, 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: 0.9948, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.995, scimark_benchmark: 1304.1944, usercpu_time_millis: 48.934, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 48.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7327, kappa: 0.335, kb_relative_information_score: 1219.9999, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7301, predictive_accuracy: 0.7454, prior_entropy: 0.8733, recall: 0.7454, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.872, scimark_benchmark: 1301.2314, usercpu_time_millis: 75.471, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 75.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7033, kappa: 0.2537, kb_relative_information_score: 900.6504, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7042, predictive_accuracy: 0.7285, prior_entropy: 0.8733, recall: 0.7285, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8811, scimark_benchmark: 1289.4016, usercpu_time_millis: 59.574, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 59.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6789, kappa: 0.19, kb_relative_information_score: 859.5656, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6956, predictive_accuracy: 0.7248, prior_entropy: 0.8733, recall: 0.7248, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.888, scimark_benchmark: 1305.3126, usercpu_time_millis: 75.758, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 75.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.5907, kappa: 0.0088, kb_relative_information_score: 516.426, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6468, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9096, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9265, scimark_benchmark: 1288.2551, usercpu_time_millis: 48.751, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 48.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.8804, 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: 1299.5916, usercpu_time_millis: 67.356, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 67.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7242, kappa: 0.3114, kb_relative_information_score: 1160.3106, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7219, predictive_accuracy: 0.7396, prior_entropy: 0.8733, recall: 0.7396, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8724, scimark_benchmark: 1297.3219, usercpu_time_millis: 40.381, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 40.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.3354, 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: 1306.1167, usercpu_time_millis: 97.011, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8769, kappa: 0.7019, kb_relative_information_score: 3190.1785, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8765, predictive_accuracy: 0.8775, prior_entropy: 0.8733, recall: 0.8775, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.6507, scimark_benchmark: 1308.8928, usercpu_time_millis: 134.144, usercpu_time_millis_testing: 1.779, usercpu_time_millis_training: 132.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.642, 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: 1284.5319, usercpu_time_millis: 31.37, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 31.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9008, kappa: 0.7601, kb_relative_information_score: 3787.5594, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9006, predictive_accuracy: 0.9012, prior_entropy: 0.8733, recall: 0.9012, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.274, root_relative_squared_error: 0.6018, scimark_benchmark: 1315.5114, usercpu_time_millis: 486.962, usercpu_time_millis_testing: 7.026, usercpu_time_millis_training: 479.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7599, kappa: 0.412, kb_relative_information_score: 492.5229, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7573, predictive_accuracy: 0.7642, prior_entropy: 0.8733, recall: 0.7642, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8983, scimark_benchmark: 1303.148, usercpu_time_millis: 3.315, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 3.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8306, kappa: 0.5861, kb_relative_information_score: 2147.187, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8296, predictive_accuracy: 0.8333, prior_entropy: 0.8733, recall: 0.8333, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.7481, scimark_benchmark: 1271.3634, usercpu_time_millis: 140.244, usercpu_time_millis_testing: 1.503, usercpu_time_millis_training: 138.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7252, kappa: 0.3142, kb_relative_information_score: 1169.3462, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7229, predictive_accuracy: 0.7404, prior_entropy: 0.8733, recall: 0.7404, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8723, scimark_benchmark: 1290.3148, usercpu_time_millis: 49.856, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 49.845,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7166, kappa: 0.2904, kb_relative_information_score: 307.805, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.715, predictive_accuracy: 0.735, prior_entropy: 0.8733, recall: 0.735, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.9128, scimark_benchmark: 1290.5756, usercpu_time_millis: 21.809, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 21.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7379, kappa: 0.3502, kb_relative_information_score: 1264.6397, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7348, predictive_accuracy: 0.7482, prior_entropy: 0.8733, recall: 0.7482, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8725, scimark_benchmark: 1270.6587, usercpu_time_millis: 7.684, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 7.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.8797, 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: 1290.8453, usercpu_time_millis: 21.51, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 21.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.8371, 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: 1274.4018, usercpu_time_millis: 43.204, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 43.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.585, kb_relative_information_score: 663.1867, mean_absolute_error: 0.3701, 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: 0.8923, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8952, scimark_benchmark: 1309.1116, usercpu_time_millis: 3.983, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 3.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, 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: 1309.8503, usercpu_time_millis: 60.681, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 60.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1281.8965, 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: 0.7528, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, scimark_benchmark: 1288.7486, usercpu_time_millis: 95.461, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 95.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1281.4627, 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: 1288.9354, usercpu_time_millis: 21.899, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 21.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7075, kappa: 0.2651, kb_relative_information_score: 1048.5749, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7079, predictive_accuracy: 0.7309, prior_entropy: 0.8733, recall: 0.7309, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8759, scimark_benchmark: 1302.8241, usercpu_time_millis: 46.308, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 46.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6979, kappa: 0.2387, kb_relative_information_score: 982.0296, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7011, predictive_accuracy: 0.7272, prior_entropy: 0.8733, recall: 0.7272, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8794, scimark_benchmark: 1309.7992, usercpu_time_millis: 28.217, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 28.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7379, kappa: 0.3502, kb_relative_information_score: 1268.5456, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7348, predictive_accuracy: 0.7482, prior_entropy: 0.8733, recall: 0.7482, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8725, scimark_benchmark: 1308.6646, usercpu_time_millis: 72.619, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 72.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8298, kappa: 0.5844, kb_relative_information_score: 2106.9008, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8288, predictive_accuracy: 0.8323, prior_entropy: 0.8733, recall: 0.8323, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7542, scimark_benchmark: 1308.4394, usercpu_time_millis: 212.552, usercpu_time_millis_testing: 3.989, usercpu_time_millis_training: 208.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7367, kappa: 0.3464, kb_relative_information_score: 1242.903, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7338, predictive_accuracy: 0.7478, prior_entropy: 0.8733, recall: 0.7478, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8723, scimark_benchmark: 1297.5049, usercpu_time_millis: 68.051, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 68.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9035, kappa: 0.7668, kb_relative_information_score: 3796.1011, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9033, predictive_accuracy: 0.9038, prior_entropy: 0.8733, recall: 0.9038, relative_absolute_error: 0.294, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5877, scimark_benchmark: 1288.9439, usercpu_time_millis: 556.662, usercpu_time_millis_testing: 9.585, usercpu_time_millis_training: 547.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7378, kappa: 0.3499, kb_relative_information_score: 1259.1139, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7348, predictive_accuracy: 0.7482, prior_entropy: 0.8733, recall: 0.7482, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8724, scimark_benchmark: 1283.1474, usercpu_time_millis: 11.242, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 11.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7189, kappa: 0.2961, kb_relative_information_score: 1093.2939, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7176, predictive_accuracy: 0.7372, prior_entropy: 0.8733, recall: 0.7372, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8747, scimark_benchmark: 1300.9889, usercpu_time_millis: 92.167, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 92.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6796, kappa: 0.1919, kb_relative_information_score: 859.6514, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6965, predictive_accuracy: 0.7254, prior_entropy: 0.8733, recall: 0.7254, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.888, scimark_benchmark: 1310.957, usercpu_time_millis: 88.791, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 88.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8929, kappa: 0.7409, kb_relative_information_score: 3578.2462, mean_absolute_error: 0.1393, 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: 0.336, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.6154, scimark_benchmark: 1314.5259, usercpu_time_millis: 506.445, usercpu_time_millis_testing: 8.545, usercpu_time_millis_training: 497.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7386, kappa: 0.3523, kb_relative_information_score: 1274.912, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7356, predictive_accuracy: 0.7487, prior_entropy: 0.8733, recall: 0.7487, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8727, scimark_benchmark: 1302.9273, usercpu_time_millis: 76.777, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 76.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.585, kb_relative_information_score: 233.4385, mean_absolute_error: 0.4014, 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: 0.9678, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.9257, scimark_benchmark: 1294.7781, usercpu_time_millis: 272.33, usercpu_time_millis_testing: 4.593, usercpu_time_millis_training: 267.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7387, kappa: 0.3523, kb_relative_information_score: 1254.0488, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7357, predictive_accuracy: 0.7489, prior_entropy: 0.8733, recall: 0.7489, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8722, scimark_benchmark: 1283.22, usercpu_time_millis: 67.112, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 67.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7393, kappa: 0.3541, kb_relative_information_score: 1277.8327, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7363, predictive_accuracy: 0.7493, prior_entropy: 0.8733, recall: 0.7493, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8727, scimark_benchmark: 1282.0684, usercpu_time_millis: 38.925, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 38.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7204, kappa: 0.3008, kb_relative_information_score: 1069.4087, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7187, predictive_accuracy: 0.7376, prior_entropy: 0.8733, recall: 0.7376, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8741, scimark_benchmark: 1307.4063, usercpu_time_millis: 19.816, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 19.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.75, kappa: 0.3838, kb_relative_information_score: 1056.9758, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.747, predictive_accuracy: 0.757, prior_entropy: 0.8733, recall: 0.757, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8725, scimark_benchmark: 1306.4223, usercpu_time_millis: 35.318, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 35.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.7223, 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: 1307.1984, usercpu_time_millis: 15.587, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 15.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7333, kappa: 0.337, kb_relative_information_score: 1222.9099, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7306, predictive_accuracy: 0.7456, prior_entropy: 0.8733, recall: 0.7456, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8722, scimark_benchmark: 1287.6218, usercpu_time_millis: 68.964, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 68.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.6415, kappa: 0.1051, kb_relative_information_score: 730.1199, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.678, predictive_accuracy: 0.7147, prior_entropy: 0.8733, recall: 0.7147, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.41, root_relative_squared_error: 0.9003, scimark_benchmark: 1272.1331, usercpu_time_millis: 98.822, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 98.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.6235, kappa: 0.0742, kb_relative_information_score: 666.8669, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7087, predictive_accuracy: 0.7172, prior_entropy: 0.8733, recall: 0.7172, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.9067, scimark_benchmark: 1312.7296, usercpu_time_millis: 19.907, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 19.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.601, kappa: 0.0212, kb_relative_information_score: 588.2987, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6254, predictive_accuracy: 0.7026, prior_entropy: 0.8733, recall: 0.7026, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.9178, scimark_benchmark: 1301.1704, usercpu_time_millis: 28.357, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 28.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7398, kappa: 0.3555, kb_relative_information_score: 1272.4591, mean_absolute_error: 0.3131, 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: 0.755, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8726, scimark_benchmark: 1308.652, usercpu_time_millis: 63.771, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 63.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7288, kappa: 0.3239, kb_relative_information_score: 1181.6556, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7263, predictive_accuracy: 0.7428, prior_entropy: 0.8733, recall: 0.7428, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8724, scimark_benchmark: 1305.1782, usercpu_time_millis: 27.836, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 27.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7398, kappa: 0.3555, kb_relative_information_score: 1275.0371, mean_absolute_error: 0.3129, 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: 0.7544, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8727, scimark_benchmark: 1307.0438, usercpu_time_millis: 59.272, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 59.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8429, kappa: 0.6141, kb_relative_information_score: 952.6279, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8428, predictive_accuracy: 0.8466, prior_entropy: 0.8733, recall: 0.8466, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.8297, scimark_benchmark: 1285.6733, usercpu_time_millis: 25.647, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 25.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1281.5617, 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: 1301.6008, usercpu_time_millis: 39.15, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 39.139,

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