Task
Supervised Classification on mfeat-pixel

Supervised Classification on mfeat-pixel

Task 20 Supervised Classification mfeat-pixel 14166 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 under100k under1m
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14166 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8627, kappa: 0.8472, kb_relative_information_score: 1712.4167, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8633, predictive_accuracy: 0.8625, prior_entropy: 3.3219, recall: 0.8625, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.7661, kappa: 0.7439, kb_relative_information_score: 1431.06, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.774, predictive_accuracy: 0.7695, prior_entropy: 3.3219, recall: 0.7695, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.6412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8778, kappa: 0.8639, kb_relative_information_score: 1737.1914, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8785, predictive_accuracy: 0.8775, prior_entropy: 3.3219, recall: 0.8775, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8401, kappa: 0.8222, kb_relative_information_score: 1664.4432, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8411, kappa: 0.8233, kb_relative_information_score: 1665.9487, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8436, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8792, kappa: 0.8656, kb_relative_information_score: 1746.5343, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.88, predictive_accuracy: 0.879, prior_entropy: 3.3219, recall: 0.879, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8798, kappa: 0.8661, kb_relative_information_score: 1743.9523, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8808, predictive_accuracy: 0.8795, prior_entropy: 3.3219, recall: 0.8795, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8635, kappa: 0.8489, kb_relative_information_score: 1711.376, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 3.3219, recall: 0.864, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8596, kappa: 0.8439, kb_relative_information_score: 1710.5584, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8603, predictive_accuracy: 0.8595, prior_entropy: 3.3219, recall: 0.8595, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8626, kappa: 0.8472, kb_relative_information_score: 1723.9085, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8635, predictive_accuracy: 0.8625, prior_entropy: 3.3219, recall: 0.8625, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8311, kappa: 0.8122, kb_relative_information_score: 1624.787, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8334, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.5255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8432, kappa: 0.8256, kb_relative_information_score: 1680.8864, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8436, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8581, kappa: 0.8428, kb_relative_information_score: 1702.4539, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8588, predictive_accuracy: 0.8585, prior_entropy: 3.3219, recall: 0.8585, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8385, kappa: 0.8206, kb_relative_information_score: 1645.7621, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.155, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8668, kappa: 0.8522, kb_relative_information_score: 1717.8442, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8673, predictive_accuracy: 0.867, prior_entropy: 3.3219, recall: 0.867, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.854, kappa: 0.8378, kb_relative_information_score: 1704.5563, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8547, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8574, kappa: 0.8417, kb_relative_information_score: 1712.2805, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8584, predictive_accuracy: 0.8575, prior_entropy: 3.3219, recall: 0.8575, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8406, kappa: 0.8228, kb_relative_information_score: 1664.3932, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8433, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.5031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8311, kappa: 0.8128, kb_relative_information_score: 1636.3398, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8334, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.5217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8934, kappa: 0.8817, kb_relative_information_score: 1777.2537, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.894, predictive_accuracy: 0.8935, prior_entropy: 3.3219, recall: 0.8935, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8321, kappa: 0.8139, kb_relative_information_score: 1637.9314, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8344, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8461, kappa: 0.8289, kb_relative_information_score: 1689.8667, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.847, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.8655, kappa: 0.8511, kb_relative_information_score: 1712.4897, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 3.3219, recall: 0.866, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.4821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.839, kappa: 0.8211, kb_relative_information_score: 1645.9089, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8397, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8803, kappa: 0.8667, kb_relative_information_score: 1747.4828, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8814, predictive_accuracy: 0.88, prior_entropy: 3.3219, recall: 0.88, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8689, kappa: 0.8544, kb_relative_information_score: 1739.5911, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8696, predictive_accuracy: 0.869, prior_entropy: 3.3219, recall: 0.869, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.846, kappa: 0.8289, kb_relative_information_score: 1680.4296, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8494, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8311, kappa: 0.8122, kb_relative_information_score: 1624.0952, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8334, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8659, kappa: 0.8511, kb_relative_information_score: 1720.5367, mean_absolute_error: 0.031, 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: 0.1725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.4914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8233, kappa: 0.8033, kb_relative_information_score: 1615.5197, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8271, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.5296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8504, kappa: 0.8339, kb_relative_information_score: 1703.0409, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8513, predictive_accuracy: 0.8505, prior_entropy: 3.3219, recall: 0.8505, relative_absolute_error: 0.1853, 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: 0.9674, f_measure: 0.83, kappa: 0.8117, kb_relative_information_score: 1635.4102, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8322, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.2395, 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: 0.9597, f_measure: 0.8778, kappa: 0.8639, kb_relative_information_score: 1736.5607, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8784, predictive_accuracy: 0.8775, prior_entropy: 3.3219, recall: 0.8775, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8295, kappa: 0.8111, kb_relative_information_score: 1633.8348, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8317, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8842, kappa: 0.8711, kb_relative_information_score: 1745.2807, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8847, predictive_accuracy: 0.884, prior_entropy: 3.3219, recall: 0.884, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8454, kappa: 0.8283, kb_relative_information_score: 1674.57, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8481, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8817, kappa: 0.8683, kb_relative_information_score: 1752.0341, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8825, predictive_accuracy: 0.8815, prior_entropy: 3.3219, recall: 0.8815, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8311, kappa: 0.8128, kb_relative_information_score: 1636.0415, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8332, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.5209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8869, kappa: 0.8744, kb_relative_information_score: 1772.7582, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8873, predictive_accuracy: 0.887, prior_entropy: 3.3219, recall: 0.887, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8228, kappa: 0.8028, kb_relative_information_score: 1611.4223, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8272, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.829, kappa: 0.8106, kb_relative_information_score: 1632.074, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8313, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8459, kappa: 0.8289, kb_relative_information_score: 1691.5516, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8467, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8305, kappa: 0.8122, kb_relative_information_score: 1634.7415, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8327, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8449, kappa: 0.8278, kb_relative_information_score: 1693.3041, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.846, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.149, root_relative_squared_error: 0.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8492, kappa: 0.8322, kb_relative_information_score: 1689.1681, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8503, predictive_accuracy: 0.849, prior_entropy: 3.3219, recall: 0.849, relative_absolute_error: 0.199, 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: 0.9612, f_measure: 0.8801, kappa: 0.8667, kb_relative_information_score: 1733.1045, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8806, predictive_accuracy: 0.88, prior_entropy: 3.3219, recall: 0.88, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8543, kappa: 0.8383, kb_relative_information_score: 1694.2825, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8548, predictive_accuracy: 0.8545, prior_entropy: 3.3219, recall: 0.8545, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.834, kappa: 0.8156, kb_relative_information_score: 1633.0794, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8353, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.8528, kappa: 0.8367, kb_relative_information_score: 1691.9325, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8532, predictive_accuracy: 0.853, prior_entropy: 3.3219, recall: 0.853, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.4913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8689, kappa: 0.8544, kb_relative_information_score: 1722.8159, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8695, predictive_accuracy: 0.869, prior_entropy: 3.3219, recall: 0.869, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8442, kappa: 0.8267, kb_relative_information_score: 1683.0977, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8447, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8321, kappa: 0.8139, kb_relative_information_score: 1637.7916, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8343, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8432, kappa: 0.8256, kb_relative_information_score: 1681.1223, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8436, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.4993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8238, kappa: 0.8039, kb_relative_information_score: 1616.5579, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8276, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.5289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8292, kappa: 0.81, kb_relative_information_score: 1620.2325, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8325, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8447, kappa: 0.8272, kb_relative_information_score: 1684.9795, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8454, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.5011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8863, kappa: 0.8733, kb_relative_information_score: 1759.8915, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8874, predictive_accuracy: 0.886, prior_entropy: 3.3219, recall: 0.886, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8645, kappa: 0.8494, kb_relative_information_score: 1716.7285, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8653, predictive_accuracy: 0.8645, prior_entropy: 3.3219, recall: 0.8645, relative_absolute_error: 0.1745, 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: 0.9618, f_measure: 0.8641, kappa: 0.8494, kb_relative_information_score: 1708.6732, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8644, predictive_accuracy: 0.8645, prior_entropy: 3.3219, recall: 0.8645, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8228, kappa: 0.8028, kb_relative_information_score: 1610.6606, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8272, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.5323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8827, kappa: 0.8694, kb_relative_information_score: 1759.4394, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8838, predictive_accuracy: 0.8825, prior_entropy: 3.3219, recall: 0.8825, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.4651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.864, kappa: 0.8494, kb_relative_information_score: 1707.9147, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8644, predictive_accuracy: 0.8645, prior_entropy: 3.3219, recall: 0.8645, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8839, kappa: 0.8706, kb_relative_information_score: 1763.081, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.885, predictive_accuracy: 0.8835, prior_entropy: 3.3219, recall: 0.8835, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.85, kappa: 0.8333, kb_relative_information_score: 1701.6011, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8508, predictive_accuracy: 0.85, prior_entropy: 3.3219, recall: 0.85, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8883, kappa: 0.8756, kb_relative_information_score: 1766.1895, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.889, predictive_accuracy: 0.888, prior_entropy: 3.3219, recall: 0.888, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8285, kappa: 0.81, kb_relative_information_score: 1633.1111, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8307, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8846, kappa: 0.8717, kb_relative_information_score: 1760.1357, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8853, predictive_accuracy: 0.8845, prior_entropy: 3.3219, recall: 0.8845, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.138, root_relative_squared_error: 0.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8243, kappa: 0.8044, kb_relative_information_score: 1616.7357, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.828, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.5283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8542, kappa: 0.8383, kb_relative_information_score: 1695.2552, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8549, predictive_accuracy: 0.8545, prior_entropy: 3.3219, recall: 0.8545, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8427, kappa: 0.825, kb_relative_information_score: 1677.6144, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8433, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8745, kappa: 0.86, kb_relative_information_score: 1727.9643, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8761, predictive_accuracy: 0.874, prior_entropy: 3.3219, recall: 0.874, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.4751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8251, kappa: 0.8061, kb_relative_information_score: 1626.8446, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8277, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8233, kappa: 0.8033, kb_relative_information_score: 1610.5401, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8277, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.5324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8243, kappa: 0.8044, kb_relative_information_score: 1615.4584, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8282, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.5296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8667, kappa: 0.8522, kb_relative_information_score: 1715.4418, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.867, predictive_accuracy: 0.867, prior_entropy: 3.3219, recall: 0.867, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.873, kappa: 0.8589, kb_relative_information_score: 1730.8835, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8735, predictive_accuracy: 0.873, prior_entropy: 3.3219, recall: 0.873, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.8749, kappa: 0.8611, kb_relative_information_score: 1735.1452, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8753, predictive_accuracy: 0.875, prior_entropy: 3.3219, recall: 0.875, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.886, kappa: 0.8733, kb_relative_information_score: 1752.4884, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8864, predictive_accuracy: 0.886, prior_entropy: 3.3219, recall: 0.886, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8499, kappa: 0.8333, kb_relative_information_score: 1686.7542, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8527, predictive_accuracy: 0.85, prior_entropy: 3.3219, recall: 0.85, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.864, kappa: 0.8494, kb_relative_information_score: 1708.0425, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8644, predictive_accuracy: 0.8645, prior_entropy: 3.3219, recall: 0.8645, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.872, kappa: 0.8578, kb_relative_information_score: 1737.1831, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8732, predictive_accuracy: 0.872, prior_entropy: 3.3219, recall: 0.872, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.839, kappa: 0.8211, kb_relative_information_score: 1646.9448, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8396, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8425, kappa: 0.825, kb_relative_information_score: 1668.8393, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8451, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8645, kappa: 0.85, kb_relative_information_score: 1711.845, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8649, predictive_accuracy: 0.865, prior_entropy: 3.3219, recall: 0.865, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.4824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8525, kappa: 0.8361, kb_relative_information_score: 1698.5004, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8533, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8233, kappa: 0.8033, kb_relative_information_score: 1614.9296, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8271, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.5296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8856, kappa: 0.8728, kb_relative_information_score: 1775.0311, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8866, predictive_accuracy: 0.8855, prior_entropy: 3.3219, recall: 0.8855, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8334, kappa: 0.815, kb_relative_information_score: 1643.1102, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8354, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.5199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8489, kappa: 0.8322, kb_relative_information_score: 1687.7829, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8515, predictive_accuracy: 0.849, prior_entropy: 3.3219, recall: 0.849, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.4926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8577, kappa: 0.8422, kb_relative_information_score: 1701.4451, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8583, predictive_accuracy: 0.858, prior_entropy: 3.3219, recall: 0.858, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8582, kappa: 0.8428, kb_relative_information_score: 1702.6121, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8589, predictive_accuracy: 0.8585, prior_entropy: 3.3219, recall: 0.8585, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8731, kappa: 0.8589, kb_relative_information_score: 1729.3053, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8736, predictive_accuracy: 0.873, prior_entropy: 3.3219, recall: 0.873, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.8321, kappa: 0.8139, kb_relative_information_score: 1639.0405, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8343, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8401, kappa: 0.8222, kb_relative_information_score: 1662.238, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8427, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.884, kappa: 0.8711, kb_relative_information_score: 1764.964, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8851, predictive_accuracy: 0.884, prior_entropy: 3.3219, recall: 0.884, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.142, root_relative_squared_error: 0.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8504, kappa: 0.8339, kb_relative_information_score: 1704.0828, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8513, predictive_accuracy: 0.8505, prior_entropy: 3.3219, recall: 0.8505, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8305, kappa: 0.8122, kb_relative_information_score: 1635.7193, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8328, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8559, kappa: 0.84, kb_relative_information_score: 1705.984, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8566, predictive_accuracy: 0.856, prior_entropy: 3.3219, recall: 0.856, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.5097,

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