Task
Supervised Classification on analcatdata_germangss

Supervised Classification on analcatdata_germangss

Task 3564 Supervised Classification analcatdata_germangss 393 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.3346, kappa: 0.1667, kb_relative_information_score: 93.2884, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.4112, predictive_accuracy: 0.375, prior_entropy: 2, recall: 0.375, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4393, root_relative_squared_error: 1.0145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.3839, kappa: 0.2, kb_relative_information_score: 77.3236, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3762, predictive_accuracy: 0.4, prior_entropy: 2, recall: 0.4, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.9477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.336, kappa: 0.15, kb_relative_information_score: 93.4378, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.4069, predictive_accuracy: 0.3625, prior_entropy: 2, recall: 0.3625, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4393, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.3212, kappa: 0.19, kb_relative_information_score: 70.7944, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3257, predictive_accuracy: 0.3925, prior_entropy: 2, recall: 0.3925, relative_absolute_error: 0.9021, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.3346, kappa: 0.1667, kb_relative_information_score: 93.2884, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.4112, predictive_accuracy: 0.375, prior_entropy: 2, recall: 0.375, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4393, root_relative_squared_error: 1.0145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.2467, kappa: 0.0067, kb_relative_information_score: 23.6106, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2442, predictive_accuracy: 0.255, prior_entropy: 2, recall: 0.255, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.465, root_relative_squared_error: 1.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, f_measure: 0.3795, kappa: 0.19, kb_relative_information_score: 40.8806, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3738, predictive_accuracy: 0.3925, prior_entropy: 2, recall: 0.3925, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.3385, kappa: 0.1733, kb_relative_information_score: 92.5225, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.4168, predictive_accuracy: 0.38, prior_entropy: 2, recall: 0.38, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4392, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.3569, kappa: 0.2, kb_relative_information_score: 64.2816, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.4078, predictive_accuracy: 0.4, prior_entropy: 2, recall: 0.4, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.3485, kappa: 0.1833, kb_relative_information_score: 101.1845, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.436, predictive_accuracy: 0.3875, prior_entropy: 2, recall: 0.3875, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.1776, kappa: -0.1, kb_relative_information_score: 20.5576, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.1859, predictive_accuracy: 0.175, prior_entropy: 2, recall: 0.175, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4682, root_relative_squared_error: 1.0813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.3485, kappa: 0.1833, kb_relative_information_score: 101.1845, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.436, predictive_accuracy: 0.3875, prior_entropy: 2, recall: 0.3875, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4288, f_measure: 0.2205, kappa: -0.04, kb_relative_information_score: 16.4147, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2324, predictive_accuracy: 0.22, prior_entropy: 2, recall: 0.22, relative_absolute_error: 1.0331, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4665, root_relative_squared_error: 1.0774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.2338, kappa: -0.01, kb_relative_information_score: 37.3719, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2744, predictive_accuracy: 0.2425, prior_entropy: 2, recall: 0.2425, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4364, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.3509, kappa: 0.1367, kb_relative_information_score: 86.3164, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3494, predictive_accuracy: 0.3525, prior_entropy: 2, recall: 0.3525, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.3923, kappa: 0.1967, kb_relative_information_score: 55.9872, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3887, predictive_accuracy: 0.3975, prior_entropy: 2, recall: 0.3975, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.0625, predictive_accuracy: 0.25, prior_entropy: 2, recall: 0.25, relative_absolute_error: 1, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.433, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.2392, kappa: -0.0033, kb_relative_information_score: 23.0315, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2357, predictive_accuracy: 0.2475, prior_entropy: 2, recall: 0.2475, relative_absolute_error: 1.0253, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4662, root_relative_squared_error: 1.0766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.3358, kappa: 0.13, kb_relative_information_score: 83.0228, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3466, predictive_accuracy: 0.3475, prior_entropy: 2, recall: 0.3475, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.3358, kappa: 0.13, kb_relative_information_score: 83.0228, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3466, predictive_accuracy: 0.3475, prior_entropy: 2, recall: 0.3475, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.3406, kappa: 0.1533, kb_relative_information_score: 92.9331, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.4097, predictive_accuracy: 0.365, prior_entropy: 2, recall: 0.365, relative_absolute_error: 0.8749, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4373, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.3787, kappa: 0.1867, kb_relative_information_score: 101.7868, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.374, predictive_accuracy: 0.39, prior_entropy: 2, recall: 0.39, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4391, root_relative_squared_error: 1.0141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.2891, kappa: 0.1033, kb_relative_information_score: 68.5562, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3715, predictive_accuracy: 0.3275, prior_entropy: 2, recall: 0.3275, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4464, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.3787, kappa: 0.1867, kb_relative_information_score: 101.7868, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.374, predictive_accuracy: 0.39, prior_entropy: 2, recall: 0.39, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4391, root_relative_squared_error: 1.0141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.3301, kappa: 0.1667, kb_relative_information_score: 93.1087, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.4065, predictive_accuracy: 0.375, prior_entropy: 2, recall: 0.375, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4393, root_relative_squared_error: 1.0145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.2259, kappa: -0.0333, kb_relative_information_score: 39.362, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2475, predictive_accuracy: 0.225, prior_entropy: 2, recall: 0.225, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4689, root_relative_squared_error: 1.0829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, f_measure: 0.2259, kappa: -0.0367, kb_relative_information_score: 43.3949, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2485, predictive_accuracy: 0.2225, prior_entropy: 2, recall: 0.2225, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.0746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.3385, kappa: 0.1733, kb_relative_information_score: 92.5225, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.4168, predictive_accuracy: 0.38, prior_entropy: 2, recall: 0.38, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4392, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.1892, kappa: -0.08, kb_relative_information_score: 33.0711, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.1884, predictive_accuracy: 0.19, prior_entropy: 2, recall: 0.19, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.1447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.2967, kappa: 0.0667, kb_relative_information_score: 60.3177, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3056, predictive_accuracy: 0.3, prior_entropy: 2, recall: 0.3, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.2891, kappa: 0.1033, kb_relative_information_score: 68.5562, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3715, predictive_accuracy: 0.3275, prior_entropy: 2, recall: 0.3275, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4464, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.3557, kappa: 0.19, kb_relative_information_score: 68.3318, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.358, predictive_accuracy: 0.3925, prior_entropy: 2, recall: 0.3925, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.2628, kappa: 0.02, kb_relative_information_score: 50.3251, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2614, predictive_accuracy: 0.265, prior_entropy: 2, recall: 0.265, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.3185, kappa: 0.09, kb_relative_information_score: 72.4602, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3202, predictive_accuracy: 0.3175, prior_entropy: 2, recall: 0.3175, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5715, root_relative_squared_error: 1.3197,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.3053, kappa: 0.0767, kb_relative_information_score: 65.5173, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3035, predictive_accuracy: 0.3075, prior_entropy: 2, recall: 0.3075, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5884, root_relative_squared_error: 1.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.3143, kappa: 0.09, kb_relative_information_score: 70.3474, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3115, predictive_accuracy: 0.3175, prior_entropy: 2, recall: 0.3175, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5842, root_relative_squared_error: 1.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.3233, kappa: 0.1467, kb_relative_information_score: 90.8752, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3112, predictive_accuracy: 0.36, prior_entropy: 2, recall: 0.36, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.3064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.4366, kappa: 0.2633, kb_relative_information_score: 133.1384, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.431, predictive_accuracy: 0.4475, prior_entropy: 2, recall: 0.4475, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.3976, kappa: 0.1967, kb_relative_information_score: 108.988, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3976, predictive_accuracy: 0.3975, prior_entropy: 2, recall: 0.3975, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5489, root_relative_squared_error: 1.2675, usercpu_time_millis: 347.302, usercpu_time_millis_testing: 6.602, usercpu_time_millis_training: 340.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.3669, kappa: 0.1667, kb_relative_information_score: 98.1203, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3717, predictive_accuracy: 0.375, prior_entropy: 2, recall: 0.375, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.559, root_relative_squared_error: 1.291, usercpu_time_millis: 34.978, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 34.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5267, f_measure: 0.2855, kappa: 0.0533, kb_relative_information_score: 57.0647, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2818, predictive_accuracy: 0.29, prior_entropy: 2, recall: 0.29, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.376, usercpu_time_millis: 33.979, usercpu_time_millis_testing: 9.116, usercpu_time_millis_training: 24.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.2447, kappa: -0.02, kb_relative_information_score: 30.4993, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3397, predictive_accuracy: 0.235, prior_entropy: 2, recall: 0.235, relative_absolute_error: 1.02, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6185, root_relative_squared_error: 1.4283, usercpu_time_millis: 0.54, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.4211, kappa: 0.2233, kb_relative_information_score: 118.6481, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.4271, predictive_accuracy: 0.4175, prior_entropy: 2, recall: 0.4175, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5397, root_relative_squared_error: 1.2463, usercpu_time_millis: 0.153, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.3525, kappa: 0.1767, kb_relative_information_score: 101.7429, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.4041, predictive_accuracy: 0.3825, prior_entropy: 2, recall: 0.3825, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.2832, usercpu_time_millis: 18.754, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 18.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.2478, kappa: 0.0067, kb_relative_information_score: 40.1594, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2414, predictive_accuracy: 0.255, prior_entropy: 2, recall: 0.255, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6103, root_relative_squared_error: 1.4095, usercpu_time_millis: 4.587, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 4.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.2444, kappa: -0.0033, kb_relative_information_score: 36.5369, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2417, predictive_accuracy: 0.2475, prior_entropy: 2, recall: 0.2475, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6134, root_relative_squared_error: 1.4166, usercpu_time_millis: 4.645, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 4.454,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.1892, kappa: -0.08, kb_relative_information_score: 33.0711, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.1884, predictive_accuracy: 0.19, prior_entropy: 2, recall: 0.19, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.1447, scimark_benchmark: 1051.249, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.2552, kappa: 0.0133, kb_relative_information_score: 80.5172, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.251, predictive_accuracy: 0.26, prior_entropy: 2, recall: 0.26, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.9865, scimark_benchmark: 927.2882, usercpu_time_millis: 2720, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.254, kappa: 0.0133, kb_relative_information_score: 78.0293, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2493, predictive_accuracy: 0.26, prior_entropy: 2, recall: 0.26, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9935, scimark_benchmark: 935.2002, usercpu_time_millis: 1960, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.2584, kappa: 0.0233, kb_relative_information_score: 80.6522, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2507, predictive_accuracy: 0.2675, prior_entropy: 2, recall: 0.2675, relative_absolute_error: 0.8858, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.9875, scimark_benchmark: 896.2181, usercpu_time_millis: 620, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.2661, kappa: 0.03, kb_relative_information_score: 78.4839, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2607, predictive_accuracy: 0.2725, prior_entropy: 2, recall: 0.2725, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9985, scimark_benchmark: 908.4147, usercpu_time_millis: 300, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.2867, kappa: 0.06, kb_relative_information_score: 81.5121, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2804, predictive_accuracy: 0.295, prior_entropy: 2, recall: 0.295, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9953, scimark_benchmark: 936.1714, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.0625, predictive_accuracy: 0.25, prior_entropy: 2, recall: 0.25, relative_absolute_error: 1, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.433, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.2587, kappa: 0.17, kb_relative_information_score: 65.947, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.221, predictive_accuracy: 0.3775, prior_entropy: 2, recall: 0.3775, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9606, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.2587, kappa: 0.17, kb_relative_information_score: 65.947, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.221, predictive_accuracy: 0.3775, prior_entropy: 2, recall: 0.3775, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9606, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.2587, kappa: 0.17, kb_relative_information_score: 65.947, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.221, predictive_accuracy: 0.3775, prior_entropy: 2, recall: 0.3775, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9606, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.2587, kappa: 0.17, kb_relative_information_score: 65.947, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.221, predictive_accuracy: 0.3775, prior_entropy: 2, recall: 0.3775, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9606, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.2587, kappa: 0.17, kb_relative_information_score: 65.947, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.221, predictive_accuracy: 0.3775, prior_entropy: 2, recall: 0.3775, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9606, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1, kb_relative_information_score: 37.7444, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.0625, predictive_accuracy: 0.25, prior_entropy: 2, recall: 0.25, relative_absolute_error: 1, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.3784, kappa: 0.17, kb_relative_information_score: 88.2964, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3849, predictive_accuracy: 0.3775, prior_entropy: 2, recall: 0.3775, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.9437, scimark_benchmark: 942.6192, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.2908, kappa: 0.06, kb_relative_information_score: 48.0769, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.2899, predictive_accuracy: 0.295, prior_entropy: 2, recall: 0.295, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4342, root_relative_squared_error: 1.0028, scimark_benchmark: 923.7471, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.3334, kappa: 0.17, kb_relative_information_score: 67.0579, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3477, predictive_accuracy: 0.3775, prior_entropy: 2, recall: 0.3775, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.9507, scimark_benchmark: 931.7994,

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