OpenML
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 145857 Supervised Classification phoneme 102354 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.6792, kappa: 0.1964, kb_relative_information_score: 719.5422, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7386, predictive_accuracy: 0.7402, prior_entropy: 0.8733, recall: 0.7402, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9318, scimark_benchmark: 1308.4562, usercpu_time_millis: 37.993, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 37.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7435, kappa: 0.3652, kb_relative_information_score: 1313.4042, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7406, predictive_accuracy: 0.7528, prior_entropy: 0.8733, recall: 0.7528, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8764, scimark_benchmark: 1333.3284, usercpu_time_millis: 31.191, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 30.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7454, kappa: 0.3687, kb_relative_information_score: 1290.0511, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7427, predictive_accuracy: 0.7554, prior_entropy: 0.8733, recall: 0.7554, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8765, scimark_benchmark: 1325.877, usercpu_time_millis: 157.76, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 157.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.7601, kappa: 0.3954, kb_relative_information_score: 1543.3449, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.777, predictive_accuracy: 0.7833, prior_entropy: 0.8733, recall: 0.7833, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.8382, scimark_benchmark: 1307.8292, usercpu_time_millis: 237.549, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 237.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7427, kappa: 0.3615, kb_relative_information_score: 1287.8175, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7401, predictive_accuracy: 0.7533, prior_entropy: 0.8733, recall: 0.7533, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8767, scimark_benchmark: 1349.5717, usercpu_time_millis: 1074.43, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1074.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7431, kappa: 0.3515, kb_relative_information_score: 1455.2885, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7776, predictive_accuracy: 0.7765, prior_entropy: 0.8733, recall: 0.7765, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.8432, scimark_benchmark: 1318.3218, usercpu_time_millis: 262.194, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 261.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8254, kappa: 0.5752, kb_relative_information_score: 2373.8516, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8244, predictive_accuracy: 0.8272, prior_entropy: 0.8733, recall: 0.8272, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7499, scimark_benchmark: 1322.5074, usercpu_time_millis: 54.104, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 53.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7888, kappa: 0.4832, kb_relative_information_score: 1930.9535, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7869, predictive_accuracy: 0.7924, prior_entropy: 0.8733, recall: 0.7924, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.8014, scimark_benchmark: 1310.6585, usercpu_time_millis: 64.534, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 63.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7938, kappa: 0.4985, kb_relative_information_score: 1869.9905, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7924, predictive_accuracy: 0.7957, prior_entropy: 0.8733, recall: 0.7957, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.8266, scimark_benchmark: 1326.6367, usercpu_time_millis: 63.671, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 62.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8535, kappa: 0.6432, kb_relative_information_score: 2761.0157, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8527, predictive_accuracy: 0.8551, prior_entropy: 0.8733, recall: 0.8551, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.7021, scimark_benchmark: 1304.141, usercpu_time_millis: 51.21, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 50.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7456, kappa: 0.3698, kb_relative_information_score: 1297.5931, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7429, predictive_accuracy: 0.7552, prior_entropy: 0.8733, recall: 0.7552, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8768, scimark_benchmark: 1304.3039, usercpu_time_millis: 26.655, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 26.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7454, kappa: 0.3687, kb_relative_information_score: 1289.9255, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7427, predictive_accuracy: 0.7554, prior_entropy: 0.8733, recall: 0.7554, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8765, scimark_benchmark: 1331.5864, usercpu_time_millis: 87.618, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 87.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7646, kappa: 0.4255, kb_relative_information_score: 1388.6989, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7624, predictive_accuracy: 0.7678, prior_entropy: 0.8733, recall: 0.7678, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8797, scimark_benchmark: 1314.7546, usercpu_time_millis: 66.123, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 65.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7593, kappa: 0.3934, kb_relative_information_score: 1544.864, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7764, predictive_accuracy: 0.7828, prior_entropy: 0.8733, recall: 0.7828, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.838, scimark_benchmark: 1331.6185, usercpu_time_millis: 606.374, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 605.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7454, kappa: 0.3687, kb_relative_information_score: 1290.0535, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7427, predictive_accuracy: 0.7554, prior_entropy: 0.8733, recall: 0.7554, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8765, scimark_benchmark: 1319.9462, usercpu_time_millis: 146.767, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 146.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7436, kappa: 0.3529, kb_relative_information_score: 1406.6921, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7767, predictive_accuracy: 0.7765, prior_entropy: 0.8733, recall: 0.7765, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.8603, scimark_benchmark: 1335.1267, usercpu_time_millis: 37.402, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 36.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.735, kappa: 0.3314, kb_relative_information_score: 1295.4966, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7721, predictive_accuracy: 0.7713, prior_entropy: 0.8733, recall: 0.7713, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8732, scimark_benchmark: 1336.4542, usercpu_time_millis: 36.281, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 35.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7272, kappa: 0.3134, kb_relative_information_score: 1266.3912, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.734, predictive_accuracy: 0.7517, prior_entropy: 0.8733, recall: 0.7517, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8738, scimark_benchmark: 1324.2234, usercpu_time_millis: 122.503, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 122.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7247, kappa: 0.3066, kb_relative_information_score: 1189.6265, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7321, predictive_accuracy: 0.7502, prior_entropy: 0.8733, recall: 0.7502, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.886, scimark_benchmark: 1312.6739, usercpu_time_millis: 30.34, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 29.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7583, kappa: 0.3908, kb_relative_information_score: 1541.9502, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7755, predictive_accuracy: 0.782, prior_entropy: 0.8733, recall: 0.782, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.382, root_relative_squared_error: 0.839, scimark_benchmark: 1332.8861, usercpu_time_millis: 174.694, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 174.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8056, kappa: 0.5258, kb_relative_information_score: 2035.5712, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8041, predictive_accuracy: 0.8081, prior_entropy: 0.8733, recall: 0.8081, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8121, scimark_benchmark: 1299.6394, usercpu_time_millis: 64.597, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 63.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7375, kappa: 0.3375, kb_relative_information_score: 1371.6101, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7682, predictive_accuracy: 0.7711, prior_entropy: 0.8733, recall: 0.7711, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.8601, scimark_benchmark: 1317.0323, usercpu_time_millis: 45.107, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 44.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7583, kappa: 0.3899, kb_relative_information_score: 1593.2352, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7935, predictive_accuracy: 0.7883, prior_entropy: 0.8733, recall: 0.7883, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.8274, scimark_benchmark: 1336.797, usercpu_time_millis: 348.991, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 348.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7558, kappa: 0.3836, kb_relative_information_score: 1561.2124, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7946, predictive_accuracy: 0.7874, prior_entropy: 0.8733, recall: 0.7874, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.8288, scimark_benchmark: 1313.9768, usercpu_time_millis: 1101.186, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1100.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7242, kappa: 0.3054, kb_relative_information_score: 1231.8058, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7319, predictive_accuracy: 0.75, prior_entropy: 0.8733, recall: 0.75, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8796, scimark_benchmark: 1336.2072, usercpu_time_millis: 30.057, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 29.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7449, kappa: 0.3676, kb_relative_information_score: 1293.4929, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7422, predictive_accuracy: 0.7548, prior_entropy: 0.8733, recall: 0.7548, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8767, scimark_benchmark: 1313.9456, usercpu_time_millis: 26.394, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 25.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7456, kappa: 0.3693, kb_relative_information_score: 1287.1719, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.743, predictive_accuracy: 0.7556, prior_entropy: 0.8733, recall: 0.7556, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8765, scimark_benchmark: 1311.8673, usercpu_time_millis: 326.281, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 325.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.745, kappa: 0.368, kb_relative_information_score: 1288.0557, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7424, predictive_accuracy: 0.755, prior_entropy: 0.8733, recall: 0.755, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8766, scimark_benchmark: 1336.27, usercpu_time_millis: 1058.79, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 1058.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7631, kappa: 0.4215, kb_relative_information_score: 1375.6076, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7609, predictive_accuracy: 0.7665, prior_entropy: 0.8733, recall: 0.7665, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8807, scimark_benchmark: 1336.8443, usercpu_time_millis: 66.82, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 66.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8855, kappa: 0.7203, kb_relative_information_score: 3232.1679, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8855, predictive_accuracy: 0.8873, prior_entropy: 0.8733, recall: 0.8873, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6386, scimark_benchmark: 1327.7847, usercpu_time_millis: 50.423, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 49.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7324, kappa: 0.3245, kb_relative_information_score: 1341.1918, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7603, predictive_accuracy: 0.7663, prior_entropy: 0.8733, recall: 0.7663, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8662, scimark_benchmark: 1318.7831, usercpu_time_millis: 36.304, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 35.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7454, kappa: 0.3687, kb_relative_information_score: 1290.0081, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7427, predictive_accuracy: 0.7554, prior_entropy: 0.8733, recall: 0.7554, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8765, scimark_benchmark: 1323.2307, usercpu_time_millis: 361.034, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 360.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7446, kappa: 0.3669, kb_relative_information_score: 1294.6719, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7418, predictive_accuracy: 0.7544, prior_entropy: 0.8733, recall: 0.7544, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8767, scimark_benchmark: 1335.0483, usercpu_time_millis: 26.646, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 26.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7457, kappa: 0.3699, kb_relative_information_score: 1297.2137, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.743, predictive_accuracy: 0.7554, prior_entropy: 0.8733, recall: 0.7554, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8768, scimark_benchmark: 1323.6246, usercpu_time_millis: 26.915, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 26.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7746, kappa: 0.4485, kb_relative_information_score: 1573.739, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7725, predictive_accuracy: 0.7785, prior_entropy: 0.8733, recall: 0.7785, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8537, scimark_benchmark: 1327.7638, usercpu_time_millis: 62.15, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 61.411,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7583, kappa: 0.3899, kb_relative_information_score: 1590.9017, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7948, predictive_accuracy: 0.7887, prior_entropy: 0.8733, recall: 0.7887, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.8267, scimark_benchmark: 1338.3082, usercpu_time_millis: 878.135, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 877.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8295, kappa: 0.5845, kb_relative_information_score: 2408.4009, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8284, predictive_accuracy: 0.8314, prior_entropy: 0.8733, recall: 0.8314, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7429, scimark_benchmark: 1337.806, usercpu_time_millis: 72.589, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 72.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7897, kappa: 0.486, kb_relative_information_score: 1907.2393, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7879, predictive_accuracy: 0.7929, prior_entropy: 0.8733, recall: 0.7929, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.8065, scimark_benchmark: 1333.4304, usercpu_time_millis: 57.546, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 56.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8818, kappa: 0.7113, kb_relative_information_score: 3267.8355, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8817, predictive_accuracy: 0.8836, prior_entropy: 0.8733, recall: 0.8836, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6432, scimark_benchmark: 1294.3329, usercpu_time_millis: 57.327, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 56.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8425, kappa: 0.6168, kb_relative_information_score: 2622.8494, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8416, predictive_accuracy: 0.844, prior_entropy: 0.8733, recall: 0.844, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.7228, scimark_benchmark: 1307.8797, usercpu_time_millis: 48.051, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 47.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7507, kappa: 0.3718, kb_relative_information_score: 1497.6089, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7662, predictive_accuracy: 0.7752, prior_entropy: 0.8733, recall: 0.7752, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.8491, scimark_benchmark: 1334.6958, usercpu_time_millis: 39.064, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 38.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.6933, kappa: 0.2283, kb_relative_information_score: 848.1635, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7357, predictive_accuracy: 0.7443, prior_entropy: 0.8733, recall: 0.7443, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.418, root_relative_squared_error: 0.918, scimark_benchmark: 1317.3137, usercpu_time_millis: 39.241, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 38.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.6899, kappa: 0.2281, kb_relative_information_score: 976.7644, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8066, predictive_accuracy: 0.7561, prior_entropy: 0.8733, recall: 0.7561, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.89, scimark_benchmark: 1309.9554, usercpu_time_millis: 233.041, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 232.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7165, kappa: 0.2846, kb_relative_information_score: 1170.3263, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.746, predictive_accuracy: 0.7554, prior_entropy: 0.8733, recall: 0.7554, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8881, scimark_benchmark: 1320.217, usercpu_time_millis: 33.582, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 33.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7454, kappa: 0.3687, kb_relative_information_score: 1290.0058, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7427, predictive_accuracy: 0.7554, prior_entropy: 0.8733, recall: 0.7554, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8765, scimark_benchmark: 1326.7498, usercpu_time_millis: 74.766, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 74.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8916, kappa: 0.735, kb_relative_information_score: 3311.5041, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8918, predictive_accuracy: 0.8934, prior_entropy: 0.8733, recall: 0.8934, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.285, root_relative_squared_error: 0.626, scimark_benchmark: 1345.8328, usercpu_time_millis: 51.667, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 51.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7455, kappa: 0.369, kb_relative_information_score: 1289.9141, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7429, predictive_accuracy: 0.7556, prior_entropy: 0.8733, recall: 0.7556, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8765, scimark_benchmark: 1345.3855, usercpu_time_millis: 47.177, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 46.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8611, kappa: 0.6605, kb_relative_information_score: 2893.1778, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8606, predictive_accuracy: 0.8632, prior_entropy: 0.8733, recall: 0.8632, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.69, scimark_benchmark: 1346.6508, usercpu_time_millis: 42.71, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 42.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.745, kappa: 0.368, kb_relative_information_score: 1296.4973, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7424, predictive_accuracy: 0.755, prior_entropy: 0.8733, recall: 0.755, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8767, scimark_benchmark: 1334.4434, usercpu_time_millis: 26.346, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 25.94,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7452, kappa: 0.3683, kb_relative_information_score: 1288.8241, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7426, predictive_accuracy: 0.7552, prior_entropy: 0.8733, recall: 0.7552, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8765, scimark_benchmark: 1333.3494, usercpu_time_millis: 563.168, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 562.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7622, kappa: 0.3998, kb_relative_information_score: 1625.4233, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7971, predictive_accuracy: 0.7913, prior_entropy: 0.8733, recall: 0.7913, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.8247, scimark_benchmark: 1336.0022, usercpu_time_millis: 209.731, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 209.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7431, kappa: 0.3517, kb_relative_information_score: 1449.5123, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7786, predictive_accuracy: 0.7768, prior_entropy: 0.8733, recall: 0.7768, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.8442, scimark_benchmark: 1336.3104, usercpu_time_millis: 216.247, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 215.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7454, kappa: 0.3687, kb_relative_information_score: 1290.0926, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7427, predictive_accuracy: 0.7554, prior_entropy: 0.8733, recall: 0.7554, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8765, scimark_benchmark: 1333.3878, usercpu_time_millis: 87.656, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 87.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8491, kappa: 0.6305, kb_relative_information_score: 2652.2102, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8487, predictive_accuracy: 0.852, prior_entropy: 0.8733, recall: 0.852, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7251, scimark_benchmark: 1319.4547, usercpu_time_millis: 66.78, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 65.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8945, kappa: 0.7426, kb_relative_information_score: 3431.7673, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8943, predictive_accuracy: 0.8958, prior_entropy: 0.8733, recall: 0.8958, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.281, root_relative_squared_error: 0.6171, scimark_benchmark: 1310.975, usercpu_time_millis: 57.135, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 56.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7441, kappa: 0.3657, kb_relative_information_score: 1295.9629, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7414, predictive_accuracy: 0.7541, prior_entropy: 0.8733, recall: 0.7541, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8767, scimark_benchmark: 1338.5137, usercpu_time_millis: 27.21, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 26.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.744, kappa: 0.3659, kb_relative_information_score: 1310.7222, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7411, predictive_accuracy: 0.7535, prior_entropy: 0.8733, recall: 0.7535, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8763, scimark_benchmark: 1333.6593, usercpu_time_millis: 29.646, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 29.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7653, kappa: 0.4077, kb_relative_information_score: 1642.8707, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7981, predictive_accuracy: 0.7931, prior_entropy: 0.8733, recall: 0.7931, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.8241, scimark_benchmark: 1324.7193, usercpu_time_millis: 117.84, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 117.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7361, kappa: 0.3409, kb_relative_information_score: 1233.2492, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7351, predictive_accuracy: 0.7511, prior_entropy: 0.8733, recall: 0.7511, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8892, scimark_benchmark: 1355.0662, usercpu_time_millis: 1149.03, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1148.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8784, kappa: 0.7027, kb_relative_information_score: 3217.9849, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8782, predictive_accuracy: 0.8803, prior_entropy: 0.8733, recall: 0.8803, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.6507, scimark_benchmark: 1329.195, usercpu_time_millis: 63.489, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 62.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7762, kappa: 0.4521, kb_relative_information_score: 1584.7853, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.774, predictive_accuracy: 0.7802, prior_entropy: 0.8733, recall: 0.7802, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8508, scimark_benchmark: 1330.4005, usercpu_time_millis: 60.278, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 59.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.6966, kappa: 0.2358, kb_relative_information_score: 851.1334, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7347, predictive_accuracy: 0.745, prior_entropy: 0.8733, recall: 0.745, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9206, scimark_benchmark: 1306.5178, usercpu_time_millis: 32.23, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 31.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7263, kappa: 0.311, kb_relative_information_score: 1265.5816, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.733, predictive_accuracy: 0.7509, prior_entropy: 0.8733, recall: 0.7509, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8738, scimark_benchmark: 1338.1542, usercpu_time_millis: 132.834, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 132.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.6831, kappa: 0.2126, kb_relative_information_score: 558.3129, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8076, predictive_accuracy: 0.7528, prior_entropy: 0.8733, recall: 0.7528, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.9122, scimark_benchmark: 1340.3835, usercpu_time_millis: 117.751, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 116.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8779, kappa: 0.7006, kb_relative_information_score: 2918.8322, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8784, predictive_accuracy: 0.8805, prior_entropy: 0.8733, recall: 0.8805, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6679, scimark_benchmark: 1309.0325, usercpu_time_millis: 201.475, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 201.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7606, kappa: 0.3968, kb_relative_information_score: 1548.1202, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7778, predictive_accuracy: 0.7839, prior_entropy: 0.8733, recall: 0.7839, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.8379, scimark_benchmark: 1330.9669, usercpu_time_millis: 467.099, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 466.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7454, kappa: 0.3687, kb_relative_information_score: 1288.5998, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7427, predictive_accuracy: 0.7554, prior_entropy: 0.8733, recall: 0.7554, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8765, scimark_benchmark: 1353.146, usercpu_time_millis: 610.329, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 609.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.7867, kappa: 0.4617, kb_relative_information_score: 2076.0884, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8272, predictive_accuracy: 0.8122, prior_entropy: 0.8733, recall: 0.8122, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.7627, scimark_benchmark: 1327.691, usercpu_time_millis: 249.318, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 248.277,

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

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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