Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 26772 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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26772 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8549, kappa: 0.8383, kb_relative_information_score: 1660.5947, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8558, predictive_accuracy: 0.8545, prior_entropy: 3.3219, recall: 0.8545, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8662, kappa: 0.8511, kb_relative_information_score: 1682.9834, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8668, predictive_accuracy: 0.866, prior_entropy: 3.3219, recall: 0.866, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.7737, kappa: 0.7661, kb_relative_information_score: 1602.9729, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7886, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.8716, kappa: 0.8572, kb_relative_information_score: 1693.4315, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8721, predictive_accuracy: 0.8715, prior_entropy: 3.3219, recall: 0.8715, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.4602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.5271, kappa: 0.4656, kb_relative_information_score: 666.2627, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6135, predictive_accuracy: 0.519, prior_entropy: 3.3219, recall: 0.519, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.8742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.5093, kappa: 0.4489, kb_relative_information_score: 618.2083, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5779, predictive_accuracy: 0.504, prior_entropy: 3.3219, recall: 0.504, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, kappa: 0.3194, kb_relative_information_score: 5.6978, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.3875, prior_entropy: 3.3219, recall: 0.3875, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.8544, kappa: 0.8378, kb_relative_information_score: 1661.9372, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.4844,
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: 0.0809, kb_relative_information_score: 11.4839, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0514, kb_relative_information_score: 36.3047, 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: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, kappa: 0.7306, kb_relative_information_score: 1064.8693, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.7575, prior_entropy: 3.3219, recall: 0.7575, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.852, kappa: 0.8361, kb_relative_information_score: 1688.3401, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.852, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, kb_relative_information_score: 5.2735, 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: 0.9121, kappa: 0.4539, kb_relative_information_score: 377.5937, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.5085, prior_entropy: 3.3219, recall: 0.5085, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, kappa: 0.0467, kb_relative_information_score: 67.3104, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.142, prior_entropy: 3.3219, recall: 0.142, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8592, kappa: 0.8433, kb_relative_information_score: 1681.0127, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8601, predictive_accuracy: 0.859, prior_entropy: 3.3219, recall: 0.859, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.845, kappa: 0.8283, kb_relative_information_score: 1683.2854, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8449, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.7842, kappa: 0.7628, kb_relative_information_score: 1625.3298, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7837, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.5238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8616, kappa: 0.8461, kb_relative_information_score: 1674.586, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.862, predictive_accuracy: 0.8615, prior_entropy: 3.3219, recall: 0.8615, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8522, kappa: 0.8356, kb_relative_information_score: 1665.6246, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8529, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, kappa: 0.2383, kb_relative_information_score: 46.3105, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.3145, prior_entropy: 3.3219, recall: 0.3145, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.7608, kappa: 0.7356, kb_relative_information_score: 1525.6327, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7609, predictive_accuracy: 0.762, prior_entropy: 3.3219, recall: 0.762, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.7765, kappa: 0.7539, kb_relative_information_score: 1478.328, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7775, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.5884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.8656, kappa: 0.8506, kb_relative_information_score: 1686.1603, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.866, predictive_accuracy: 0.8655, prior_entropy: 3.3219, recall: 0.8655, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, kappa: 0.4994, kb_relative_information_score: 358.9363, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.5495, prior_entropy: 3.3219, recall: 0.5495, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8332, kappa: 0.8156, kb_relative_information_score: 1661.4705, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8333, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.4976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0507, kb_relative_information_score: 9.2995, 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: 1.0001, 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: 0.9839, f_measure: 0.8426, kappa: 0.8256, kb_relative_information_score: 1677.1342, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8425, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8497, kappa: 0.8328, kb_relative_information_score: 1645.1381, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8505, predictive_accuracy: 0.8495, prior_entropy: 3.3219, recall: 0.8495, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.7838, kappa: 0.7617, kb_relative_information_score: 1622.9134, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7831, predictive_accuracy: 0.7855, prior_entropy: 3.3219, recall: 0.7855, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8375, kappa: 0.82, kb_relative_information_score: 1673.3439, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.5126, kappa: 0.4539, kb_relative_information_score: 712.4912, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6183, predictive_accuracy: 0.5085, prior_entropy: 3.3219, recall: 0.5085, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.8587, kappa: 0.8428, kb_relative_information_score: 1676.6119, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8592, predictive_accuracy: 0.8585, prior_entropy: 3.3219, recall: 0.8585, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.8738, kappa: 0.8594, kb_relative_information_score: 1710.8533, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8745, predictive_accuracy: 0.8735, prior_entropy: 3.3219, recall: 0.8735, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, kappa: 0.1128, kb_relative_information_score: 10.1697, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.2015, prior_entropy: 3.3219, recall: 0.2015, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.4603, kappa: 0.3961, kb_relative_information_score: 577.9237, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5574, predictive_accuracy: 0.4565, prior_entropy: 3.3219, recall: 0.4565, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.7918, kappa: 0.7744, kb_relative_information_score: 1619.632, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7961, predictive_accuracy: 0.797, prior_entropy: 3.3219, recall: 0.797, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0503, kappa: -0.1094, kb_relative_information_score: 8.8598, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0015, prior_entropy: 3.3219, recall: 0.0015, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.7814, kappa: 0.7694, kb_relative_information_score: 1588.4948, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7909, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0507, kb_relative_information_score: 7.2996, 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: 1.0001, 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: 0.4834, kappa: 0.0017, kb_relative_information_score: 17.4598, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1015, prior_entropy: 3.3219, recall: 0.1015, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8345, kappa: 0.8167, kb_relative_information_score: 1671.1159, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8347, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8328, kappa: 0.8156, kb_relative_information_score: 1657.5835, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8329, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, kappa: 0.7122, kb_relative_information_score: 967.4962, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.741, prior_entropy: 3.3219, recall: 0.741, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.7847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, kappa: 0.0578, kb_relative_information_score: 14.5164, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.152, prior_entropy: 3.3219, recall: 0.152, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8314, kappa: 0.8139, kb_relative_information_score: 1659.487, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8315, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8657, kappa: 0.8506, kb_relative_information_score: 1687.5276, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8662, predictive_accuracy: 0.8655, prior_entropy: 3.3219, recall: 0.8655, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8734, kappa: 0.8589, kb_relative_information_score: 1704.18, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8741, predictive_accuracy: 0.873, prior_entropy: 3.3219, recall: 0.873, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.4575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, kappa: 0.5406, kb_relative_information_score: 450.0404, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.5865, prior_entropy: 3.3219, recall: 0.5865, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.6128, kappa: 0.6244, kb_relative_information_score: 345.4859, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7407, predictive_accuracy: 0.662, prior_entropy: 3.3219, recall: 0.662, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, kappa: 0.1211, kb_relative_information_score: 15.7278, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.209, prior_entropy: 3.3219, recall: 0.209, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8346, kappa: 0.8172, kb_relative_information_score: 1663.1316, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8344, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.4963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0508, kb_relative_information_score: 11.9363, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.8669, kappa: 0.8522, kb_relative_information_score: 1685.5055, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8672, predictive_accuracy: 0.867, prior_entropy: 3.3219, recall: 0.867, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8484, kappa: 0.8311, kb_relative_information_score: 1647.243, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8495, predictive_accuracy: 0.848, prior_entropy: 3.3219, recall: 0.848, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.4941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.7875, kappa: 0.7667, kb_relative_information_score: 1629.502, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7876, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0506, kb_relative_information_score: 6.7806, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, kb_relative_information_score: 6.1677, 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: 0.0507, kb_relative_information_score: 6.0871, 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: 0.9865, f_measure: 0.8656, kappa: 0.8506, kb_relative_information_score: 1686.87, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.866, predictive_accuracy: 0.8655, prior_entropy: 3.3219, recall: 0.8655, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.7748, kappa: 0.7611, kb_relative_information_score: 1621.276, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7775, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8071, kappa: 0.7872, kb_relative_information_score: 1631.3823, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8072, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8552, kappa: 0.8389, kb_relative_information_score: 1662.8181, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.856, predictive_accuracy: 0.855, prior_entropy: 3.3219, recall: 0.855, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0509, kappa: -0.1111, kb_relative_information_score: 4.0114, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, prior_entropy: 3.3219, 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: 0.9556, kappa: 0.6989, kb_relative_information_score: 923.874, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0505, kb_relative_information_score: 9.7039, 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: 1.0001, 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: 0.9758, f_measure: 0.7809, kappa: 0.77, kb_relative_information_score: 1590.3172, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7915, predictive_accuracy: 0.793, prior_entropy: 3.3219, recall: 0.793, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.5603, kappa: 0.5383, kb_relative_information_score: 1017.3055, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.637, predictive_accuracy: 0.5845, prior_entropy: 3.3219, recall: 0.5845, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.7757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1433, kb_relative_information_score: 2.2791, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0003, 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: 0.8414, f_measure: 0.4467, kappa: 0.4128, kb_relative_information_score: 594.2807, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4844, predictive_accuracy: 0.4715, prior_entropy: 3.3219, recall: 0.4715, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.7604, kappa: 0.7361, kb_relative_information_score: 1546.0616, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7604, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0503, kappa: -0.0006, kb_relative_information_score: 3.7631, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0995, prior_entropy: 3.3219, recall: 0.0995, 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: 0.985, f_measure: 0.8546, kappa: 0.8378, kb_relative_information_score: 1653.3324, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8555, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.4449, kappa: 0.3933, kb_relative_information_score: 612.3478, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5121, predictive_accuracy: 0.454, prior_entropy: 3.3219, recall: 0.454, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.7609, kappa: 0.76, kb_relative_information_score: 1589.1083, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7825, predictive_accuracy: 0.784, prior_entropy: 3.3219, recall: 0.784, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8559, kappa: 0.84, kb_relative_information_score: 1678.0594, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8565, predictive_accuracy: 0.856, prior_entropy: 3.3219, recall: 0.856, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8458, kappa: 0.8283, kb_relative_information_score: 1645.2918, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8466, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.785, kappa: 0.7633, kb_relative_information_score: 1623.6108, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.785, predictive_accuracy: 0.787, prior_entropy: 3.3219, recall: 0.787, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.5248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0492, kappa: -0.0011, kb_relative_information_score: 2.9886, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.099, prior_entropy: 3.3219, recall: 0.099, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8234, kappa: 0.805, kb_relative_information_score: 1642.2897, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8236, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.5122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8552, kappa: 0.8394, kb_relative_information_score: 1688.0532, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8553, predictive_accuracy: 0.8555, prior_entropy: 3.3219, recall: 0.8555, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1587, kappa: -0.0011, kb_relative_information_score: 3.558, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.099, prior_entropy: 3.3219, recall: 0.099, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0506, kb_relative_information_score: 20.5842, 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: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, kappa: 0.6233, kb_relative_information_score: 187.3865, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.661, prior_entropy: 3.3219, recall: 0.661, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, kappa: 0.7189, kb_relative_information_score: 980.755, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.747, prior_entropy: 3.3219, recall: 0.747, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8676, kappa: 0.8528, kb_relative_information_score: 1687.3483, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8679, predictive_accuracy: 0.8675, prior_entropy: 3.3219, recall: 0.8675, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0504, kb_relative_information_score: 5.2885, 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: 1.0001, 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: 0.9866, f_measure: 0.8612, kappa: 0.8456, kb_relative_information_score: 1726.8835, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8617, predictive_accuracy: 0.861, prior_entropy: 3.3219, recall: 0.861, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, kappa: 0.1006, kb_relative_information_score: 159.2322, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1905, prior_entropy: 3.3219, recall: 0.1905, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.6182, kappa: 0.5933, kb_relative_information_score: 782.8717, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7339, predictive_accuracy: 0.634, prior_entropy: 3.3219, recall: 0.634, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0493, kb_relative_information_score: 2.4544, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0003, 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: 0.9838, f_measure: 0.8425, kappa: 0.8256, kb_relative_information_score: 1676.5679, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8425, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.7778, kappa: 0.7689, kb_relative_information_score: 1623.2546, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7823, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.157, root_relative_squared_error: 0.5233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8474, kappa: 0.83, kb_relative_information_score: 1640.3701, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.848, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8078, kappa: 0.7878, kb_relative_information_score: 1625.5189, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.808, predictive_accuracy: 0.809, prior_entropy: 3.3219, recall: 0.809, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.5237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.8666, kappa: 0.8517, kb_relative_information_score: 1737.609, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8669, predictive_accuracy: 0.8665, prior_entropy: 3.3219, recall: 0.8665, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4571, kappa: -0.0428, kb_relative_information_score: -0.0122, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0615, prior_entropy: 3.3219, recall: 0.0615, 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: 0.9693, f_measure: 0.7857, kappa: 0.7633, kb_relative_information_score: 1517.0084, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7876, predictive_accuracy: 0.787, prior_entropy: 3.3219, recall: 0.787, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5756,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs