Task
Supervised Classification on cloud

Supervised Classification on cloud

Task 3753 Supervised Classification cloud 854 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: 0.8528, f_measure: 0.8691, kappa: 0.6834, kb_relative_information_score: 69.698, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8686, predictive_accuracy: 0.8704, prior_entropy: 0.8813, recall: 0.8704, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.7107, kappa: 0.2827, kb_relative_information_score: 20.5811, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8258, predictive_accuracy: 0.7685, prior_entropy: 0.8813, recall: 0.7685, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.418, root_relative_squared_error: 0.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.5974, kappa: 0.0248, kb_relative_information_score: -2.099, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.6461, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4614, root_relative_squared_error: 1.0105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.5974, kappa: 0.0248, kb_relative_information_score: 25.691, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.6461, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.5768, kappa: -0.0183, kb_relative_information_score: -4.7531, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4933, predictive_accuracy: 0.6944, prior_entropy: 0.8813, recall: 0.6944, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.5923, kappa: 0.0067, kb_relative_information_score: 0.1023, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5947, predictive_accuracy: 0.6944, prior_entropy: 0.8813, recall: 0.6944, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8837, kappa: 0.7128, kb_relative_information_score: 70.6039, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8915, predictive_accuracy: 0.8889, prior_entropy: 0.8813, recall: 0.8889, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.5813, kb_relative_information_score: -0.2701, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4576, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4597, f_measure: 0.5813, kb_relative_information_score: -0.3948, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.457, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4085, f_measure: 0.5813, kb_relative_information_score: -3.1057, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.0176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7513, kappa: 0.3769, kb_relative_information_score: 37.2987, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.7729, predictive_accuracy: 0.7778, prior_entropy: 0.8813, recall: 0.7778, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.8461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2856, f_measure: 0.5388, kappa: -0.1495, kb_relative_information_score: -23.9792, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4762, predictive_accuracy: 0.6204, prior_entropy: 0.8813, recall: 0.6204, relative_absolute_error: 1.1308, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.1407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8504, kappa: 0.6382, kb_relative_information_score: 68.657, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8497, predictive_accuracy: 0.8519, prior_entropy: 0.8813, recall: 0.8519, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4597, f_measure: 0.5613, kappa: -0.0993, kb_relative_information_score: -10.4373, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5271, predictive_accuracy: 0.6204, prior_entropy: 0.8813, recall: 0.6204, relative_absolute_error: 1.0414, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.5813, kb_relative_information_score: 18.3785, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.5275, kappa: -0.1519, kb_relative_information_score: -22.1877, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5191, predictive_accuracy: 0.537, prior_entropy: 0.8813, recall: 0.537, relative_absolute_error: 1.1163, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.607, root_relative_squared_error: 1.3293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4235, f_measure: 0.5813, kb_relative_information_score: -2.4105, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.46, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3096, f_measure: 0.5535, kappa: -0.1032, kb_relative_information_score: -15.1566, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4829, predictive_accuracy: 0.6481, prior_entropy: 0.8813, recall: 0.6481, relative_absolute_error: 1.0724, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4235, f_measure: 0.5813, kb_relative_information_score: -2.4105, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.46, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5813, kb_relative_information_score: 25.691, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8279, kappa: 0.5774, kb_relative_information_score: 42.9786, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8286, predictive_accuracy: 0.8333, prior_entropy: 0.8813, recall: 0.8333, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.8045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8514, kappa: 0.6301, kb_relative_information_score: 36.2469, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8666, predictive_accuracy: 0.8611, prior_entropy: 0.8813, recall: 0.8611, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4597, f_measure: 0.5813, kb_relative_information_score: -0.3948, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.457, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9271, kappa: 0.8286, kb_relative_information_score: 71.9401, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9311, predictive_accuracy: 0.9259, prior_entropy: 0.8813, recall: 0.9259, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9271, kappa: 0.8286, kb_relative_information_score: 71.9401, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9311, predictive_accuracy: 0.9259, prior_entropy: 0.8813, recall: 0.9259, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3078, f_measure: 0.5388, kappa: -0.1495, kb_relative_information_score: -21.1942, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4762, predictive_accuracy: 0.6204, prior_entropy: 0.8813, recall: 0.6204, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.7195, kappa: 0.3216, kb_relative_information_score: 16.8658, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.7174, predictive_accuracy: 0.7222, prior_entropy: 0.8813, recall: 0.7222, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9177, kappa: 0.8054, kb_relative_information_score: 82.3815, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9203, predictive_accuracy: 0.9167, prior_entropy: 0.8813, recall: 0.9167, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.6172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4375, f_measure: 0.567, kappa: -0.0843, kb_relative_information_score: -14.6629, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5332, predictive_accuracy: 0.6296, prior_entropy: 0.8813, recall: 0.6296, relative_absolute_error: 1.0686, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4007, f_measure: 0.6115, kappa: 0.0485, kb_relative_information_score: -7.025, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.6489, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 1.0197, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5813, kb_relative_information_score: 25.691, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5813, kb_relative_information_score: 25.691, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.5886, kappa: -0.0301, kb_relative_information_score: -12.0129, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5652, predictive_accuracy: 0.6481, prior_entropy: 0.8813, recall: 0.6481, relative_absolute_error: 1.056, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4861, root_relative_squared_error: 1.0646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5813, kb_relative_information_score: 25.691, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9177, kappa: 0.8054, kb_relative_information_score: 82.3815, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9203, predictive_accuracy: 0.9167, prior_entropy: 0.8813, recall: 0.9167, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.6172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.5613, kappa: -0.0993, kb_relative_information_score: -14.6432, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5271, predictive_accuracy: 0.6204, prior_entropy: 0.8813, recall: 0.6204, relative_absolute_error: 1.0693, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.695, kappa: 0.2373, kb_relative_information_score: 14.3465, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.6963, predictive_accuracy: 0.7222, prior_entropy: 0.8813, recall: 0.7222, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8866, kappa: 0.7235, kb_relative_information_score: 66.5758, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8873, predictive_accuracy: 0.8889, prior_entropy: 0.8813, recall: 0.8889, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.6632, kappa: 0.1703, kb_relative_information_score: 8.3807, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.656, predictive_accuracy: 0.6759, prior_entropy: 0.8813, recall: 0.6759, relative_absolute_error: 0.8916, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4573, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.8778, kappa: 0.7033, kb_relative_information_score: 74.2325, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.8777, predictive_accuracy: 0.8796, prior_entropy: 0.8813, recall: 0.8796, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7598,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.5613, kappa: -0.0993, kb_relative_information_score: -14.6432, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5271, predictive_accuracy: 0.6204, prior_entropy: 0.8813, recall: 0.6204, relative_absolute_error: 1.0693, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0895, scimark_benchmark: 1342.2013, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4178, f_measure: 0.5726, kappa: -0.069, kb_relative_information_score: -10.3788, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5399, predictive_accuracy: 0.6389, prior_entropy: 0.8813, recall: 0.6389, relative_absolute_error: 1.0353, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4912, root_relative_squared_error: 1.0757, scimark_benchmark: 1310.0489, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.6226, kappa: 0.0575, kb_relative_information_score: -2.7393, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.6212, predictive_accuracy: 0.6852, prior_entropy: 0.8813, recall: 0.6852, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0399, scimark_benchmark: 1307.8538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.537, kappa: -0.1102, kb_relative_information_score: -20.4274, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.537, predictive_accuracy: 0.537, prior_entropy: 0.8813, recall: 0.537, relative_absolute_error: 1.108, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.6736, root_relative_squared_error: 1.4751, scimark_benchmark: 1377.8025, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.9074, kappa: 0.778, kb_relative_information_score: 76.1864, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9074, predictive_accuracy: 0.9074, prior_entropy: 0.8813, recall: 0.9074, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6805, scimark_benchmark: 1213.7224, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5813, kb_relative_information_score: 25.691, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.192, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9074, kappa: 0.778, kb_relative_information_score: 75.3209, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9074, predictive_accuracy: 0.9074, prior_entropy: 0.8813, recall: 0.9074, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6521, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9074, kappa: 0.778, kb_relative_information_score: 75.3209, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9074, predictive_accuracy: 0.9074, prior_entropy: 0.8813, recall: 0.9074, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6521, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4589, f_measure: 0.5813, kb_relative_information_score: -0.1941, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4569, root_relative_squared_error: 1.0005, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4597, f_measure: 0.5813, kb_relative_information_score: -0.3948, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.457, root_relative_squared_error: 1.0007, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4083, f_measure: 0.5813, kb_relative_information_score: -2.8653, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4613, root_relative_squared_error: 1.0102, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.5613, kappa: -0.0993, kb_relative_information_score: -14.6432, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5271, predictive_accuracy: 0.6204, prior_entropy: 0.8813, recall: 0.6204, relative_absolute_error: 1.0693, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0895, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5813, kb_relative_information_score: 25.691, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5813, kb_relative_information_score: 25.691, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5813, kb_relative_information_score: 25.691, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9177, kappa: 0.8054, kb_relative_information_score: 82.3815, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9203, predictive_accuracy: 0.9167, prior_entropy: 0.8813, recall: 0.9167, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.6172, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9177, kappa: 0.8054, kb_relative_information_score: 82.3815, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9203, predictive_accuracy: 0.9167, prior_entropy: 0.8813, recall: 0.9167, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.6172, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9163, kappa: 0.7983, kb_relative_information_score: 80.8503, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.9161, predictive_accuracy: 0.9167, prior_entropy: 0.8813, recall: 0.9167, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.5062, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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