OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24374 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8139, kappa: 0.7933, kb_relative_information_score: 1573.8903, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8156, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.7857, kappa: 0.7628, kb_relative_information_score: 1523.5112, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.788, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8022, kappa: 0.7817, kb_relative_information_score: 1536.3185, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8024, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.167, root_relative_squared_error: 0.5568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, f_measure: 0.0766, kappa: 0.0194, kb_relative_information_score: 154.238, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7307, predictive_accuracy: 0.1175, prior_entropy: 3.3219, recall: 0.1175, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4201, root_relative_squared_error: 1.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7455, kappa: 0.7178, kb_relative_information_score: 1468.7552, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.755, predictive_accuracy: 0.746, prior_entropy: 3.3219, recall: 0.746, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8319, kappa: 0.8139, kb_relative_information_score: 1666.039, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8322, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8181, kappa: 0.7978, kb_relative_information_score: 1565.2019, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8198, predictive_accuracy: 0.818, prior_entropy: 3.3219, recall: 0.818, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8454, kappa: 0.8278, kb_relative_information_score: 51.3804, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8466, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8413, kappa: 0.8233, kb_relative_information_score: 1629.4169, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8418, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.7979, kappa: 0.7756, kb_relative_information_score: 1512.5082, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7997, predictive_accuracy: 0.798, prior_entropy: 3.3219, recall: 0.798, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5225, f_measure: 0.1146, kappa: 0.045, kb_relative_information_score: 202.3429, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6851, predictive_accuracy: 0.1405, prior_entropy: 3.3219, recall: 0.1405, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.7906, kappa: 0.7672, kb_relative_information_score: 1511.5241, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7927, predictive_accuracy: 0.7905, prior_entropy: 3.3219, recall: 0.7905, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.5782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8046, kappa: 0.7828, kb_relative_information_score: 1546.5825, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8065, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0589, f_measure: 0.0046, kappa: -0.1061, kb_relative_information_score: -0.2913, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0065, predictive_accuracy: 0.0045, prior_entropy: 3.3219, recall: 0.0045, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7489, kappa: 0.7217, kb_relative_information_score: 1476.0755, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7721, predictive_accuracy: 0.7495, prior_entropy: 3.3219, recall: 0.7495, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8023, kappa: 0.7794, kb_relative_information_score: 1516.6787, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8051, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.7898, kappa: 0.7678, kb_relative_information_score: 1498.2957, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.791, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8354, kappa: 0.8172, kb_relative_information_score: 1648.7793, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.5002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8198, kappa: 0.8, kb_relative_information_score: 1605.3483, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.5319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, kappa: -0.0028, kb_relative_information_score: 5.6385, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0975, prior_entropy: 3.3219, recall: 0.0975, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.7952, kappa: 0.7744, kb_relative_information_score: 1539.4701, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7956, predictive_accuracy: 0.797, prior_entropy: 3.3219, recall: 0.797, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8143, kappa: 0.7928, kb_relative_information_score: 1601.6645, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8165, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.5306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8464, kappa: 0.8289, kb_relative_information_score: 1642.7837, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8473, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.7866, kappa: 0.7639, kb_relative_information_score: 1482.246, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.788, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.173, root_relative_squared_error: 0.5766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.7774, kappa: 0.7533, kb_relative_information_score: 21.2503, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7804, predictive_accuracy: 0.778, prior_entropy: 3.3219, recall: 0.778, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8467, kappa: 0.8294, kb_relative_information_score: 1678.9525, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8475, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8156, kappa: 0.7956, kb_relative_information_score: 1600.5446, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8636, kappa: 0.8483, kb_relative_information_score: 1674.1612, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8642, predictive_accuracy: 0.8635, prior_entropy: 3.3219, recall: 0.8635, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.789, kappa: 0.7656, kb_relative_information_score: 1523.1982, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7906, predictive_accuracy: 0.789, prior_entropy: 3.3219, recall: 0.789, relative_absolute_error: 0.3553, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.5741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.5488, kappa: 0.5367, kb_relative_information_score: 672.0097, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7224, predictive_accuracy: 0.583, prior_entropy: 3.3219, recall: 0.583, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.8721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, kb_relative_information_score: 6.1509, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8343, kappa: 0.8156, kb_relative_information_score: 1594.5514, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8269, kappa: 0.8094, kb_relative_information_score: 1443.8905, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8267, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.5772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4361, kappa: -0.0017, kb_relative_information_score: 6.4717, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0985, prior_entropy: 3.3219, recall: 0.0985, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.3331, kappa: 0.2311, kb_relative_information_score: 552.6716, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6974, predictive_accuracy: 0.308, prior_entropy: 3.3219, recall: 0.308, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.372, root_relative_squared_error: 1.2401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8166, kappa: 0.7994, kb_relative_information_score: 1286.3608, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8165, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8096, kappa: 0.7889, kb_relative_information_score: 1507.9315, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8106, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.798, kappa: 0.7811, kb_relative_information_score: 1119.6532, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7975, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.7149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8465, kappa: 0.8294, kb_relative_information_score: 1628.2778, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8472, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.3163, kappa: 0.2683, kb_relative_information_score: 391.3923, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4438, predictive_accuracy: 0.3415, prior_entropy: 3.3219, recall: 0.3415, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.9504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.794, kappa: 0.7706, kb_relative_information_score: 1523.2607, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7964, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8314, kappa: 0.8133, kb_relative_information_score: 1552.0182, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8317, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8403, kappa: 0.8233, kb_relative_information_score: 1667.4491, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8405, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.0764, kappa: 0.0539, kb_relative_information_score: 219.075, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7448, predictive_accuracy: 0.1485, prior_entropy: 3.3219, recall: 0.1485, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4127, root_relative_squared_error: 1.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8466, kappa: 0.8294, kb_relative_information_score: 1681.6001, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8469, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8236, kappa: 0.8044, kb_relative_information_score: 1631.8934, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8242, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.3009, kappa: 0.2011, kb_relative_information_score: 496.2007, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6983, predictive_accuracy: 0.281, prior_entropy: 3.3219, recall: 0.281, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, kappa: 0.2794, kb_relative_information_score: 7.0676, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.3515, prior_entropy: 3.3219, recall: 0.3515, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8247, kappa: 0.8028, kb_relative_information_score: 1651.6625, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8282, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.5784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0498, kappa: -0.1111, kb_relative_information_score: 5.0305, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, prior_entropy: 3.3219, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8308, kappa: 0.8106, kb_relative_information_score: 21.8791, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8328, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8359, kappa: 0.8172, kb_relative_information_score: 1619.8799, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.837, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.5114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.7972, kappa: 0.7778, kb_relative_information_score: 1581.697, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8022, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.1113, kappa: 0.0428, kb_relative_information_score: 198.1598, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7173, predictive_accuracy: 0.1385, prior_entropy: 3.3219, recall: 0.1385, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.5694, kappa: 0.5572, kb_relative_information_score: 357.7744, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6648, predictive_accuracy: 0.6015, prior_entropy: 3.3219, recall: 0.6015, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8097, kappa: 0.7889, kb_relative_information_score: 1599.8304, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8105, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.6344, kappa: 0.6211, kb_relative_information_score: 229.2117, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6924, predictive_accuracy: 0.659, prior_entropy: 3.3219, recall: 0.659, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8221, kappa: 0.8022, kb_relative_information_score: 1573.1378, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8239, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.1503, kappa: 0.0717, kb_relative_information_score: 252.5392, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7031, predictive_accuracy: 0.1645, prior_entropy: 3.3219, recall: 0.1645, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4088, root_relative_squared_error: 1.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.7841, kappa: 0.7594, kb_relative_information_score: 1556.0112, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7856, predictive_accuracy: 0.7835, prior_entropy: 3.3219, recall: 0.7835, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2285, kappa: 0.0278, kb_relative_information_score: 8.6818, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.125, prior_entropy: 3.3219, recall: 0.125, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7174, kappa: 0.6789, kb_relative_information_score: 1395.5522, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7649, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8342, kappa: 0.8161, kb_relative_information_score: 1600.9387, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8346, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8304, kappa: 0.8106, kb_relative_information_score: 31.3147, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8433, kappa: 0.8256, kb_relative_information_score: 1634.3048, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8471, kappa: 0.83, kb_relative_information_score: 1679.9982, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8477, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.7867, kappa: 0.7628, kb_relative_information_score: 1504.8367, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7885, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.7466, kappa: 0.7494, kb_relative_information_score: 1526.9764, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7432, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8424, kappa: 0.8244, kb_relative_information_score: 1631.8166, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8431, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.821, kappa: 0.7994, kb_relative_information_score: 21.8743, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8239, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.7767, kappa: 0.755, kb_relative_information_score: 1549.9743, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.776, predictive_accuracy: 0.7795, prior_entropy: 3.3219, recall: 0.7795, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.3533, kappa: 0.2983, kb_relative_information_score: 404.2756, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4702, predictive_accuracy: 0.3685, prior_entropy: 3.3219, recall: 0.3685, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8259, kappa: 0.8067, kb_relative_information_score: 1567.1432, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.827, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.5349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8166, kappa: 0.7933, kb_relative_information_score: 1639.1905, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8224, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8283, kappa: 0.8106, kb_relative_information_score: 1496.9296, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8284, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.167, root_relative_squared_error: 0.5566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8078, kappa: 0.7861, kb_relative_information_score: 1551.4467, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8098, predictive_accuracy: 0.8075, prior_entropy: 3.3219, recall: 0.8075, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8445, kappa: 0.8278, kb_relative_information_score: 1680.0741, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8446, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8255, kappa: 0.8061, kb_relative_information_score: 1568.3881, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8269, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5346,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

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

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