OpenML
Supervised Classification on first-order-theorem-proving

Supervised Classification on first-order-theorem-proving

Task 9985 Supervised Classification first-order-theorem-proving 18740 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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18740 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, kappa: 0.0635, kb_relative_information_score: 0.2114, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4407, prior_entropy: 2.3, recall: 0.4407, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.2195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.5419, kappa: 0.392, kb_relative_information_score: 0.4083, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5365, predictive_accuracy: 0.5564, prior_entropy: 2.3, recall: 0.5564, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3845, root_relative_squared_error: 1.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.4863, kappa: 0.3122, kb_relative_information_score: 0.3532, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4971, predictive_accuracy: 0.5242, prior_entropy: 2.3, recall: 0.5242, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.1248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, kappa: 0.0635, kb_relative_information_score: 0.2114, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4407, prior_entropy: 2.3, recall: 0.4407, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.2195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1793, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3, recall: 0.4175, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.4142, kappa: 0.2142, kb_relative_information_score: 0.2882, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4393, predictive_accuracy: 0.4822, prior_entropy: 2.3, recall: 0.4822, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4155, root_relative_squared_error: 1.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, f_measure: 0.4012, kappa: 0.1982, kb_relative_information_score: 0.2862, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4318, predictive_accuracy: 0.4877, prior_entropy: 2.3, recall: 0.4877, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4132, root_relative_squared_error: 1.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, f_measure: 0.4012, kappa: 0.1982, kb_relative_information_score: 0.2862, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4318, predictive_accuracy: 0.4877, prior_entropy: 2.3, recall: 0.4877, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4132, root_relative_squared_error: 1.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.5216, kappa: 0.3602, kb_relative_information_score: 0.3966, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5398, predictive_accuracy: 0.56, prior_entropy: 2.3, recall: 0.56, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.383, root_relative_squared_error: 1.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.5363, kappa: 0.3845, kb_relative_information_score: 0.4025, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.532, predictive_accuracy: 0.552, prior_entropy: 2.3, recall: 0.552, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.0914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, kappa: 0.0601, kb_relative_information_score: 0.2097, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4397, prior_entropy: 2.3, recall: 0.4397, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.2206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4653, f_measure: 0.2231, kappa: -0.0633, kb_relative_information_score: 0.0537, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2086, predictive_accuracy: 0.2561, prior_entropy: 2.3, recall: 0.2561, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.498, root_relative_squared_error: 1.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.5431, kappa: 0.3887, kb_relative_information_score: 0.4194, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5507, predictive_accuracy: 0.5718, prior_entropy: 2.3, recall: 0.5718, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.4863, kappa: 0.3122, kb_relative_information_score: 0.3532, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4971, predictive_accuracy: 0.5242, prior_entropy: 2.3, recall: 0.5242, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.1248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.5216, kappa: 0.3602, kb_relative_information_score: 0.3966, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5398, predictive_accuracy: 0.56, prior_entropy: 2.3, recall: 0.56, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.383, root_relative_squared_error: 1.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4653, f_measure: 0.2231, kappa: -0.0633, kb_relative_information_score: 0.0537, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2086, predictive_accuracy: 0.2561, prior_entropy: 2.3, recall: 0.2561, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.498, root_relative_squared_error: 1.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.5363, kappa: 0.3845, kb_relative_information_score: 0.4025, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.532, predictive_accuracy: 0.552, prior_entropy: 2.3, recall: 0.552, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.0914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.499, kappa: 0.3296, kb_relative_information_score: 0.3659, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5064, predictive_accuracy: 0.5317, prior_entropy: 2.3, recall: 0.5317, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.1158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.3776, kappa: 0.167, kb_relative_information_score: 0.2335, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3722, predictive_accuracy: 0.4179, prior_entropy: 2.3, recall: 0.4179, relative_absolute_error: 0.7737, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4405, root_relative_squared_error: 1.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1793, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3, recall: 0.4175, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.4855, kappa: 0.3111, kb_relative_information_score: 0.3535, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5003, predictive_accuracy: 0.5268, prior_entropy: 2.3, recall: 0.5268, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5702, f_measure: 0.347, kappa: 0.1299, kb_relative_information_score: 0.181, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3493, predictive_accuracy: 0.3611, prior_entropy: 2.3, recall: 0.3611, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4615, root_relative_squared_error: 1.3034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.3509, kappa: 0.1316, kb_relative_information_score: 0.2497, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4063, predictive_accuracy: 0.4642, prior_entropy: 2.3, recall: 0.4642, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.1936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, kappa: 0.0684, kb_relative_information_score: 0.2132, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4423, prior_entropy: 2.3, recall: 0.4423, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5524, kappa: 0.1198, kb_relative_information_score: 0.2431, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4622, prior_entropy: 2.3, recall: 0.4622, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.1957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, kappa: 0.0635, kb_relative_information_score: 0.2114, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4407, prior_entropy: 2.3, recall: 0.4407, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.2195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, kappa: 0.0125, kb_relative_information_score: 0.1852, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.422, prior_entropy: 2.3, recall: 0.422, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.2396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, kappa: 0.1332, kb_relative_information_score: 0.2456, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4624, prior_entropy: 2.3, recall: 0.4624, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.1956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.4855, kappa: 0.3111, kb_relative_information_score: 0.3535, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5003, predictive_accuracy: 0.5268, prior_entropy: 2.3, recall: 0.5268, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.3768, kappa: 0.1625, kb_relative_information_score: 0.2643, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.455, predictive_accuracy: 0.4716, prior_entropy: 2.3, recall: 0.4716, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.1853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.289, kappa: 0.0525, kb_relative_information_score: 0.1162, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2882, predictive_accuracy: 0.3034, prior_entropy: 2.3, recall: 0.3034, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4723, f_measure: 0.2242, kappa: -0.0498, kb_relative_information_score: 0.0537, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.217, predictive_accuracy: 0.2511, prior_entropy: 2.3, recall: 0.2511, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4723, f_measure: 0.2242, kappa: -0.0498, kb_relative_information_score: 0.0537, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.217, predictive_accuracy: 0.2511, prior_entropy: 2.3, recall: 0.2511, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4723, f_measure: 0.2242, kappa: -0.0498, kb_relative_information_score: 0.0537, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.217, predictive_accuracy: 0.2511, prior_entropy: 2.3, recall: 0.2511, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kappa: 0.0137, kb_relative_information_score: 0.1859, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4225, prior_entropy: 2.3, recall: 0.4225, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4387, root_relative_squared_error: 1.2391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4723, f_measure: 0.2242, kappa: -0.0498, kb_relative_information_score: 0.0537, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.217, predictive_accuracy: 0.2511, prior_entropy: 2.3, recall: 0.2511, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5118, f_measure: 0.2743, kappa: 0.0199, kb_relative_information_score: 0.1, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2649, predictive_accuracy: 0.2945, prior_entropy: 2.3, recall: 0.2945, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.3696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kappa: 0.0137, kb_relative_information_score: 0.1859, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4225, prior_entropy: 2.3, recall: 0.4225, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4387, root_relative_squared_error: 1.2391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.5007, kappa: 0.3323, kb_relative_information_score: 0.3676, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5077, predictive_accuracy: 0.5329, prior_entropy: 2.3, recall: 0.5329, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3946, root_relative_squared_error: 1.1145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5118, f_measure: 0.2743, kappa: 0.0199, kb_relative_information_score: 0.1, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2649, predictive_accuracy: 0.2945, prior_entropy: 2.3, recall: 0.2945, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.3696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.3981, kappa: 0.1981, kb_relative_information_score: 0.2435, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3985, predictive_accuracy: 0.4145, prior_entropy: 2.3, recall: 0.4145, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4418, root_relative_squared_error: 1.2477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5244, kappa: 0.0568, kb_relative_information_score: 0.2086, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4389, prior_entropy: 2.3, recall: 0.4389, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.2215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.2784, kappa: 0.0548, kb_relative_information_score: 0.0963, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2936, predictive_accuracy: 0.2726, prior_entropy: 2.3, recall: 0.2726, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.312, kappa: 0.077, kb_relative_information_score: 0.1451, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.3021, predictive_accuracy: 0.3326, prior_entropy: 2.3, recall: 0.3326, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1793, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3, recall: 0.4175, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.4333, kappa: 0.2424, kb_relative_information_score: 0.288, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4276, predictive_accuracy: 0.4537, prior_entropy: 2.3, recall: 0.4537, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.2052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.2784, kappa: 0.0548, kb_relative_information_score: 0.0963, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2936, predictive_accuracy: 0.2726, prior_entropy: 2.3, recall: 0.2726, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.4333, kappa: 0.2424, kb_relative_information_score: 0.288, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4276, predictive_accuracy: 0.4537, prior_entropy: 2.3, recall: 0.4537, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.2052,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4657, f_measure: 0.2203, kappa: -0.0619, kb_relative_information_score: 0.0463, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.2114, predictive_accuracy: 0.2447, prior_entropy: 2.3, recall: 0.2447, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.4915, kappa: 0.3192, kb_relative_information_score: 0.3594, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5059, predictive_accuracy: 0.5309, prior_entropy: 2.3, recall: 0.5309, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.1168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.4491, kappa: 0.2585, kb_relative_information_score: 0.3206, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4907, predictive_accuracy: 0.5078, prior_entropy: 2.3, recall: 0.5078, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.405, root_relative_squared_error: 1.1439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1793, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3, recall: 0.4175, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.5186, kappa: 0.3587, kb_relative_information_score: 0.3866, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5206, predictive_accuracy: 0.5445, prior_entropy: 2.3, recall: 0.5445, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3897, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1793, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3, recall: 0.4175, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.4333, kappa: 0.2424, kb_relative_information_score: 0.288, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4276, predictive_accuracy: 0.4537, prior_entropy: 2.3, recall: 0.4537, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.2052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1793, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3, recall: 0.4175, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.2445,

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