Task
Supervised Classification on teachingAssistant

Supervised Classification on teachingAssistant

Task 3949 Supervised Classification teachingAssistant 528 runs submitted
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  • study_1 study_107 study_123 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9076, kappa: 0.8609, kb_relative_information_score: 130.9537, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.909, predictive_accuracy: 0.9073, prior_entropy: 1.5845, recall: 0.9073, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.3492, kappa: 0.0485, kb_relative_information_score: 7.5189, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3603, predictive_accuracy: 0.3642, prior_entropy: 1.5845, recall: 0.3642, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.6026, kappa: 0.4036, kb_relative_information_score: 32.6177, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6033, predictive_accuracy: 0.6026, prior_entropy: 1.5845, recall: 0.6026, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.6297, kappa: 0.4442, kb_relative_information_score: 74.3044, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6335, predictive_accuracy: 0.6291, prior_entropy: 1.5845, recall: 0.6291, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6433, kappa: 0.4641, kb_relative_information_score: 72.6448, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6487, predictive_accuracy: 0.6424, prior_entropy: 1.5845, recall: 0.6424, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.5981, kappa: 0.4045, kb_relative_information_score: 62.7864, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6009, predictive_accuracy: 0.6026, prior_entropy: 1.5845, recall: 0.6026, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4897, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.5474, kappa: 0.3244, kb_relative_information_score: 42.3045, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5473, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.862, kappa: 0.7914, kb_relative_information_score: 92.5529, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8879, predictive_accuracy: 0.8609, prior_entropy: 1.5845, recall: 0.8609, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.567, kappa: 0.3547, kb_relative_information_score: 40.0418, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.568, predictive_accuracy: 0.5695, prior_entropy: 1.5845, recall: 0.5695, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8617, kappa: 0.7909, kb_relative_information_score: 118.1411, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8771, predictive_accuracy: 0.8609, prior_entropy: 1.5845, recall: 0.8609, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.5548, kappa: 0.3344, kb_relative_information_score: 41.28, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5545, predictive_accuracy: 0.5563, prior_entropy: 1.5845, recall: 0.5563, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.4436, kappa: 0.1767, kb_relative_information_score: 21.5833, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4466, predictive_accuracy: 0.4503, prior_entropy: 1.5845, recall: 0.4503, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.6096, kappa: 0.4148, kb_relative_information_score: 67.193, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.618, predictive_accuracy: 0.6093, prior_entropy: 1.5845, recall: 0.6093, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.5557, kappa: 0.3346, kb_relative_information_score: 50.6176, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5573, predictive_accuracy: 0.5563, prior_entropy: 1.5845, recall: 0.5563, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.6423, kappa: 0.4641, kb_relative_information_score: 63.8884, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6464, predictive_accuracy: 0.6424, prior_entropy: 1.5845, recall: 0.6424, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8201, kappa: 0.7319, kb_relative_information_score: 54.9687, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8207, predictive_accuracy: 0.8212, prior_entropy: 1.5845, recall: 0.8212, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.4338, kappa: 0.1751, kb_relative_information_score: 20.4013, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4464, predictive_accuracy: 0.4503, prior_entropy: 1.5845, recall: 0.4503, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.4937, kappa: 0.2561, kb_relative_information_score: 34.2123, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4985, predictive_accuracy: 0.5033, prior_entropy: 1.5845, recall: 0.5033, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.5841, kappa: 0.3751, kb_relative_information_score: 39.7721, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5926, predictive_accuracy: 0.5828, prior_entropy: 1.5845, recall: 0.5828, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.4945, kappa: 0.2441, kb_relative_information_score: 33.4488, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4955, predictive_accuracy: 0.4967, prior_entropy: 1.5845, recall: 0.4967, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.5499, kappa: 0.3258, kb_relative_information_score: 45.6698, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.561, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.6768, kappa: 0.5134, kb_relative_information_score: 50.832, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6792, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.8238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.1764, kb_relative_information_score: 0.098, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.4508, kappa: 0.1977, kb_relative_information_score: 34.4045, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4641, predictive_accuracy: 0.4636, prior_entropy: 1.5845, recall: 0.4636, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.4812, kappa: 0.2386, kb_relative_information_score: 37.3755, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5216, predictive_accuracy: 0.4901, prior_entropy: 1.5845, recall: 0.4901, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8333, kappa: 0.7513, kb_relative_information_score: 105.9603, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8367, predictive_accuracy: 0.8344, prior_entropy: 1.5845, recall: 0.8344, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.5215, kappa: 0.2935, kb_relative_information_score: 47.4581, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5271, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.7544, kappa: 0.6324, kb_relative_information_score: 86.9222, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7542, predictive_accuracy: 0.755, prior_entropy: 1.5845, recall: 0.755, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.5483, kappa: 0.3246, kb_relative_information_score: 41.2724, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5484, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.6096, kappa: 0.4144, kb_relative_information_score: 55.8029, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6129, predictive_accuracy: 0.6093, prior_entropy: 1.5845, recall: 0.6093, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.5386, kappa: 0.3051, kb_relative_information_score: 39.8329, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.543, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.5548, kappa: 0.3344, kb_relative_information_score: 41.334, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5545, predictive_accuracy: 0.5563, prior_entropy: 1.5845, recall: 0.5563, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.5892, kappa: 0.3848, kb_relative_information_score: 53.1505, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5941, predictive_accuracy: 0.5894, prior_entropy: 1.5845, recall: 0.5894, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.567, kappa: 0.3547, kb_relative_information_score: 40.0953, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.568, predictive_accuracy: 0.5695, prior_entropy: 1.5845, recall: 0.5695, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.5215, kappa: 0.2935, kb_relative_information_score: 47.4581, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5271, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.4764, kappa: 0.2149, kb_relative_information_score: 33.1342, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4761, predictive_accuracy: 0.4768, prior_entropy: 1.5845, recall: 0.4768, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, f_measure: 0.4276, kappa: 0.1492, kb_relative_information_score: 27.6173, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4682, predictive_accuracy: 0.4305, prior_entropy: 1.5845, recall: 0.4305, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.2717, kappa: 0.0523, kb_relative_information_score: 2.3078, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3907, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.6623, kappa: 0.4939, kb_relative_information_score: 64.8979, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.667, predictive_accuracy: 0.6623, prior_entropy: 1.5845, recall: 0.6623, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9006, kappa: 0.8509, kb_relative_information_score: 130.4611, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.9007, predictive_accuracy: 0.9007, prior_entropy: 1.5845, recall: 0.9007, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.5997, kappa: 0.4042, kb_relative_information_score: 68.8411, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6012, predictive_accuracy: 0.6026, prior_entropy: 1.5845, recall: 0.6026, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.092, usercpu_time_millis: 90.441, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 90.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1764, kb_relative_information_score: 14.6767, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6043, f_measure: 0.455, kappa: 0.2078, kb_relative_information_score: 41.5737, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4721, predictive_accuracy: 0.4702, prior_entropy: 1.5845, recall: 0.4702, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5943, root_relative_squared_error: 1.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.401, kappa: 0.1049, kb_relative_information_score: 27.6992, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4007, predictive_accuracy: 0.404, prior_entropy: 1.5845, recall: 0.404, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6304, root_relative_squared_error: 1.3374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.5094, kappa: 0.2773, kb_relative_information_score: 51.2321, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.531, predictive_accuracy: 0.5166, prior_entropy: 1.5845, recall: 0.5166, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5677, root_relative_squared_error: 1.2045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5942, f_measure: 0.4435, kappa: 0.1873, kb_relative_information_score: 38.7496, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4529, predictive_accuracy: 0.457, prior_entropy: 1.5845, recall: 0.457, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.5411, kappa: 0.3276, kb_relative_information_score: 58.0968, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5884, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.1625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7492, kappa: 0.6234, kb_relative_information_score: 99.0659, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7715, predictive_accuracy: 0.7483, prior_entropy: 1.5845, recall: 0.7483, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.869, usercpu_time_millis: 803.624, usercpu_time_millis_testing: 6.177, usercpu_time_millis_training: 797.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.495, kappa: 0.2363, kb_relative_information_score: 45.5563, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5086, predictive_accuracy: 0.4901, prior_entropy: 1.5845, recall: 0.4901, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.237, usercpu_time_millis: 43.699, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 43.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.5703, kappa: 0.354, kb_relative_information_score: 62.0372, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5714, predictive_accuracy: 0.5695, prior_entropy: 1.5845, recall: 0.5695, relative_absolute_error: 0.6459, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.1366, usercpu_time_millis: 33.624, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 33.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.6937, kappa: 0.5439, kb_relative_information_score: 88.1275, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7046, predictive_accuracy: 0.6954, prior_entropy: 1.5845, recall: 0.6954, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9561, usercpu_time_millis: 34.792, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 34.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7065, kappa: 0.564, kb_relative_information_score: 90.8987, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7228, predictive_accuracy: 0.7086, prior_entropy: 1.5845, recall: 0.7086, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9351, usercpu_time_millis: 31.178, usercpu_time_millis_testing: 3.36, usercpu_time_millis_training: 27.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.4881, kappa: 0.2428, kb_relative_information_score: 46.8085, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5045, predictive_accuracy: 0.4967, prior_entropy: 1.5845, recall: 0.4967, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5793, root_relative_squared_error: 1.229, usercpu_time_millis: 23.265, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 23.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.4988, kappa: 0.2561, kb_relative_information_score: 48.4173, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5009, predictive_accuracy: 0.5033, prior_entropy: 1.5845, recall: 0.5033, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5754, root_relative_squared_error: 1.2209, usercpu_time_millis: 0.278, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7114, kappa: 0.5734, kb_relative_information_score: 92.2209, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7173, predictive_accuracy: 0.7152, prior_entropy: 1.5845, recall: 0.7152, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9244, usercpu_time_millis: 1.512, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.4893, kappa: 0.2344, kb_relative_information_score: 45.4758, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4903, predictive_accuracy: 0.4901, prior_entropy: 1.5845, recall: 0.4901, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.237, usercpu_time_millis: 1.962, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.9008, kappa: 0.851, kb_relative_information_score: 130.469, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.9017, predictive_accuracy: 0.9007, prior_entropy: 1.5845, recall: 0.9007, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.546, usercpu_time_millis: 1.826, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.6293, kappa: 0.4441, kb_relative_information_score: 74.3387, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6313, predictive_accuracy: 0.6291, prior_entropy: 1.5845, recall: 0.6291, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.055, usercpu_time_millis: 0.392, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.3705, kappa: 0.065, kb_relative_information_score: 22.2134, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3755, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3668, usercpu_time_millis: 0.483, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.5415, kappa: 0.3144, kb_relative_information_score: 56.4775, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5408, predictive_accuracy: 0.543, prior_entropy: 1.5845, recall: 0.543, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.171, usercpu_time_millis: 0.152, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8359, kappa: 0.7512, kb_relative_information_score: 116.7238, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8472, predictive_accuracy: 0.8344, prior_entropy: 1.5845, recall: 0.8344, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.7049, usercpu_time_millis: 2.057, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 1.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.5215, kappa: 0.2935, kb_relative_information_score: 53.6455, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5271, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1879, usercpu_time_millis: 2.782, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 1.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.6141, kappa: 0.4236, kb_relative_information_score: 71.5595, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6145, predictive_accuracy: 0.6159, prior_entropy: 1.5845, recall: 0.6159, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0736, usercpu_time_millis: 0.127, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.5759, kappa: 0.3643, kb_relative_information_score: 63.3053, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5765, predictive_accuracy: 0.5762, prior_entropy: 1.5845, recall: 0.5762, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.1278, usercpu_time_millis: 0.367, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6011, kappa: 0.404, kb_relative_information_score: 68.8055, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6014, predictive_accuracy: 0.6026, prior_entropy: 1.5845, recall: 0.6026, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.092, usercpu_time_millis: 2.979, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 2.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.6422, kappa: 0.4637, kb_relative_information_score: 77.0756, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6428, predictive_accuracy: 0.6424, prior_entropy: 1.5845, recall: 0.6424, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0359, usercpu_time_millis: 2.216, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 1.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.4189, kappa: 0.1263, kb_relative_information_score: 30.5086, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4236, predictive_accuracy: 0.4172, prior_entropy: 1.5845, recall: 0.4172, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6233, root_relative_squared_error: 1.3225, usercpu_time_millis: 0.722, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.618,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7492, kappa: 0.6234, kb_relative_information_score: 52.8177, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7715, predictive_accuracy: 0.7483, prior_entropy: 1.5845, recall: 0.7483, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.4189, kappa: 0.1263, kb_relative_information_score: 20.4235, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4236, predictive_accuracy: 0.4172, prior_entropy: 1.5845, recall: 0.4172, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9798,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7492, kappa: 0.6234, kb_relative_information_score: 52.8177, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7715, predictive_accuracy: 0.7483, prior_entropy: 1.5845, recall: 0.7483, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.5471, kappa: 0.3259, kb_relative_information_score: 25.8022, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5573, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.4189, kappa: 0.1263, kb_relative_information_score: 20.4235, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4236, predictive_accuracy: 0.4172, prior_entropy: 1.5845, recall: 0.4172, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.4189, kappa: 0.1263, kb_relative_information_score: 20.4235, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4236, predictive_accuracy: 0.4172, prior_entropy: 1.5845, recall: 0.4172, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.4189, kappa: 0.1263, kb_relative_information_score: 20.4235, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4236, predictive_accuracy: 0.4172, prior_entropy: 1.5845, recall: 0.4172, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7492, kappa: 0.6234, kb_relative_information_score: 52.8177, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7715, predictive_accuracy: 0.7483, prior_entropy: 1.5845, recall: 0.7483, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7492, kappa: 0.6234, kb_relative_information_score: 52.8177, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7715, predictive_accuracy: 0.7483, prior_entropy: 1.5845, recall: 0.7483, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7492, kappa: 0.6234, kb_relative_information_score: 52.8177, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7715, predictive_accuracy: 0.7483, prior_entropy: 1.5845, recall: 0.7483, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.5471, kappa: 0.3259, kb_relative_information_score: 25.8022, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5573, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.4189, kappa: 0.1263, kb_relative_information_score: 20.4235, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4236, predictive_accuracy: 0.4172, prior_entropy: 1.5845, recall: 0.4172, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7492, kappa: 0.6234, kb_relative_information_score: 52.8177, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7715, predictive_accuracy: 0.7483, prior_entropy: 1.5845, recall: 0.7483, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.4189, kappa: 0.1263, kb_relative_information_score: 20.4235, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4236, predictive_accuracy: 0.4172, prior_entropy: 1.5845, recall: 0.4172, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7492, kappa: 0.6234, kb_relative_information_score: 52.8177, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7715, predictive_accuracy: 0.7483, prior_entropy: 1.5845, recall: 0.7483, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.7492, kappa: 0.6234, kb_relative_information_score: 52.8177, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7715, predictive_accuracy: 0.7483, prior_entropy: 1.5845, recall: 0.7483, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.5471, kappa: 0.3259, kb_relative_information_score: 25.8022, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5573, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.9327,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs