Task
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13719 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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13719 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.2316, kappa: 0.2109, kb_relative_information_score: 347.272, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2999, predictive_accuracy: 0.2188, prior_entropy: 6.6439, recall: 0.2188, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.125, root_relative_squared_error: 1.2563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8017, kappa: 0.7961, kb_relative_information_score: 1276.2951, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8162, predictive_accuracy: 0.7981, prior_entropy: 6.6439, recall: 0.7981, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, kappa: 0.012, kb_relative_information_score: 31.5845, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0219, prior_entropy: 6.6439, recall: 0.0219, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1399, root_relative_squared_error: 1.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8326, kappa: 0.8314, kb_relative_information_score: 1332.4173, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8395, predictive_accuracy: 0.8331, prior_entropy: 6.6439, recall: 0.8331, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.5806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, kappa: 0.0619, kb_relative_information_score: 110.7569, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0713, prior_entropy: 6.6439, recall: 0.0713, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1363, root_relative_squared_error: 1.3698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7339, kappa: 0.6951, kb_relative_information_score: 1115.9459, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8047, predictive_accuracy: 0.6981, prior_entropy: 6.6439, recall: 0.6981, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2991, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, kappa: 0.1982, kb_relative_information_score: 327.2283, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2063, prior_entropy: 6.6439, recall: 0.2063, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.126, root_relative_squared_error: 1.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, kappa: 0.0783, kb_relative_information_score: 136.8137, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0875, prior_entropy: 6.6439, recall: 0.0875, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1351, root_relative_squared_error: 1.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, kappa: 0.1982, kb_relative_information_score: 327.2283, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2063, prior_entropy: 6.6439, recall: 0.2063, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.126, root_relative_squared_error: 1.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, kappa: 0.0442, kb_relative_information_score: 82.6958, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0538, prior_entropy: 6.6439, recall: 0.0538, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1376, root_relative_squared_error: 1.3826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7793, kappa: 0.7633, kb_relative_information_score: 1224.1816, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8101, predictive_accuracy: 0.7656, prior_entropy: 6.6439, recall: 0.7656, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.6881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.846, kappa: 0.8434, kb_relative_information_score: 1351.4588, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8515, predictive_accuracy: 0.845, prior_entropy: 6.6439, recall: 0.845, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7426, kappa: 0.7071, kb_relative_information_score: 1134.9874, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.805, predictive_accuracy: 0.71, prior_entropy: 6.6439, recall: 0.71, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.2254, kappa: 0.2045, kb_relative_information_score: 337.2502, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3035, predictive_accuracy: 0.2125, prior_entropy: 6.6439, recall: 0.2125, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1255, root_relative_squared_error: 1.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8379, kappa: 0.8365, kb_relative_information_score: 1340.4348, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8419, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.3595, kappa: 0.3441, kb_relative_information_score: 558.7325, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3966, predictive_accuracy: 0.3506, prior_entropy: 6.6439, recall: 0.3506, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.114, root_relative_squared_error: 1.1454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.687, kappa: 0.6143, kb_relative_information_score: 987.6666, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8094, predictive_accuracy: 0.6181, prior_entropy: 6.6439, recall: 0.6181, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.7474, kappa: 0.7146, kb_relative_information_score: 1147.0136, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8041, predictive_accuracy: 0.7175, prior_entropy: 6.6439, recall: 0.7175, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8317, kappa: 0.8295, kb_relative_information_score: 1329.4108, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8374, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8107, kappa: 0.803, kb_relative_information_score: 1287.3191, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8267, predictive_accuracy: 0.805, prior_entropy: 6.6439, recall: 0.805, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.6276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8373, kappa: 0.8359, kb_relative_information_score: 1339.4326, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8416, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.5059, kappa: 0.4817, kb_relative_information_score: 777.2082, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5914, predictive_accuracy: 0.4869, prior_entropy: 6.6439, recall: 0.4869, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1013, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, kappa: 0.0423, kb_relative_information_score: 79.6893, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0519, prior_entropy: 6.6439, recall: 0.0519, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1377, root_relative_squared_error: 1.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8438, kappa: 0.8422, kb_relative_information_score: 1349.4544, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8504, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.3673, kappa: 0.2658, kb_relative_information_score: 434.4619, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7445, predictive_accuracy: 0.2731, prior_entropy: 6.6439, recall: 0.2731, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1206, root_relative_squared_error: 1.2118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8367, kappa: 0.8352, kb_relative_information_score: 1338.4304, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8408, predictive_accuracy: 0.8369, prior_entropy: 6.6439, recall: 0.8369, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.5741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8437, kappa: 0.8409, kb_relative_information_score: 1347.45, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8488, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8161, kappa: 0.8119, kb_relative_information_score: 1301.3496, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8265, predictive_accuracy: 0.8138, prior_entropy: 6.6439, recall: 0.8138, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.061, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.7917, kappa: 0.786, kb_relative_information_score: 1260.2602, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8061, predictive_accuracy: 0.7881, prior_entropy: 6.6439, recall: 0.7881, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.6542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8381, kappa: 0.8365, kb_relative_information_score: 1340.4348, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8427, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.84, kappa: 0.8384, kb_relative_information_score: 1343.4413, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8447, predictive_accuracy: 0.84, prior_entropy: 6.6439, recall: 0.84, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, kappa: 0.0063, kb_relative_information_score: 22.5649, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0163, prior_entropy: 6.6439, recall: 0.0163, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1403, root_relative_squared_error: 1.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8299, kappa: 0.827, kb_relative_information_score: 1325.402, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8375, predictive_accuracy: 0.8288, prior_entropy: 6.6439, recall: 0.8288, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.5882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8392, kappa: 0.8378, kb_relative_information_score: 1342.4391, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8436, predictive_accuracy: 0.8394, prior_entropy: 6.6439, recall: 0.8394, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8374, kappa: 0.8359, kb_relative_information_score: 1339.4326, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8416, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.842, kappa: 0.8403, kb_relative_information_score: 1346.4479, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.847, predictive_accuracy: 0.8419, prior_entropy: 6.6439, recall: 0.8419, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.5652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, kappa: 0.0076, kb_relative_information_score: 24.5693, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0175, prior_entropy: 6.6439, recall: 0.0175, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1402, root_relative_squared_error: 1.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8374, kappa: 0.8359, kb_relative_information_score: 1339.4326, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8418, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8344, kappa: 0.8333, kb_relative_information_score: 1335.4238, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.841, predictive_accuracy: 0.835, prior_entropy: 6.6439, recall: 0.835, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.5774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8169, kappa: 0.8138, kb_relative_information_score: 1304.3562, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8253, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8258, kappa: 0.8232, kb_relative_information_score: 1319.3889, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8328, predictive_accuracy: 0.825, prior_entropy: 6.6439, recall: 0.825, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, kappa: 0.2342, kb_relative_information_score: 384.3527, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2419, prior_entropy: 6.6439, recall: 0.2419, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1231, root_relative_squared_error: 1.2376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.787, kappa: 0.779, kb_relative_information_score: 1249.2362, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.806, predictive_accuracy: 0.7813, prior_entropy: 6.6439, recall: 0.7813, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, kappa: 0.0063, kb_relative_information_score: 22.5649, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0163, prior_entropy: 6.6439, recall: 0.0163, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1403, root_relative_squared_error: 1.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.52, kappa: 0.5095, kb_relative_information_score: 821.3043, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5471, predictive_accuracy: 0.5144, prior_entropy: 6.6439, recall: 0.5144, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7347, kappa: 0.7304, kb_relative_information_score: 1172.0681, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7524, predictive_accuracy: 0.7331, prior_entropy: 6.6439, recall: 0.7331, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, kappa: 0.1408, kb_relative_information_score: 236.0297, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1494, prior_entropy: 6.6439, recall: 0.1494, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1304, root_relative_squared_error: 1.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, kappa: 0.1042, kb_relative_information_score: 177.9032, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1131, prior_entropy: 6.6439, recall: 0.1131, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1332, root_relative_squared_error: 1.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, kappa: 0.0076, kb_relative_information_score: 24.5693, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0175, prior_entropy: 6.6439, recall: 0.0175, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1402, root_relative_squared_error: 1.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.7719, kappa: 0.7532, kb_relative_information_score: 1208.1467, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8078, predictive_accuracy: 0.7556, prior_entropy: 6.6439, recall: 0.7556, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.7026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7449, kappa: 0.7121, kb_relative_information_score: 1143.0048, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8015, predictive_accuracy: 0.715, prior_entropy: 6.6439, recall: 0.715, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5432, kappa: 0.0865, kb_relative_information_score: 149.8421, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0956, prior_entropy: 6.6439, recall: 0.0956, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1345, root_relative_squared_error: 1.3517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, kappa: 0.0126, kb_relative_information_score: 32.5867, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0225, prior_entropy: 6.6439, recall: 0.0225, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1398, root_relative_squared_error: 1.4053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8332, kappa: 0.8314, kb_relative_information_score: 1332.4173, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8384, predictive_accuracy: 0.8331, prior_entropy: 6.6439, recall: 0.8331, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.5806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.6158, kappa: 0.6105, kb_relative_information_score: 981.6535, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6365, predictive_accuracy: 0.6144, prior_entropy: 6.6439, recall: 0.6144, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, kappa: 0.0429, kb_relative_information_score: 80.6915, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0525, prior_entropy: 6.6439, recall: 0.0525, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1377, root_relative_squared_error: 1.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8365, kappa: 0.834, kb_relative_information_score: 1336.426, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8428, predictive_accuracy: 0.8356, prior_entropy: 6.6439, recall: 0.8356, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.5763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8371, kappa: 0.8359, kb_relative_information_score: 1339.4326, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8415, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.2486, kappa: 0.226, kb_relative_information_score: 371.3244, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3125, predictive_accuracy: 0.2338, prior_entropy: 6.6439, recall: 0.2338, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1238, root_relative_squared_error: 1.2442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.289, kappa: 0.2443, kb_relative_information_score: 400.3877, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4453, predictive_accuracy: 0.2519, prior_entropy: 6.6439, recall: 0.2519, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1223, root_relative_squared_error: 1.2294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kappa: -0.0095, kb_relative_information_score: -2.4897, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0006, prior_entropy: 6.6439, recall: 0.0006, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8374, kappa: 0.8359, kb_relative_information_score: 1339.4326, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8418, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8373, kappa: 0.8359, kb_relative_information_score: 1339.4326, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8413, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.5994, kappa: 0.5928, kb_relative_information_score: 953.5924, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6161, predictive_accuracy: 0.5969, prior_entropy: 6.6439, recall: 0.5969, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2194, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2984, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.4267, kappa: 0.4141, kb_relative_information_score: 669.9747, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.461, predictive_accuracy: 0.42, prior_entropy: 6.6439, recall: 0.42, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1077, root_relative_squared_error: 1.0825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8361, kappa: 0.8346, kb_relative_information_score: 1337.4282, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8431, predictive_accuracy: 0.8363, prior_entropy: 6.6439, recall: 0.8363, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.835, kappa: 0.834, kb_relative_information_score: 1336.426, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8417, predictive_accuracy: 0.8356, prior_entropy: 6.6439, recall: 0.8356, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.5763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.6549, kappa: 0.6509, kb_relative_information_score: 1045.7931, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6778, predictive_accuracy: 0.6544, prior_entropy: 6.6439, recall: 0.6544, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.5679, kappa: 0.5619, kb_relative_information_score: 904.4854, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.583, predictive_accuracy: 0.5663, prior_entropy: 6.6439, recall: 0.5663, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8127, kappa: 0.8112, kb_relative_information_score: 1300.3475, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8191, predictive_accuracy: 0.8131, prior_entropy: 6.6439, recall: 0.8131, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.6144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5073, kappa: 0.0145, kb_relative_information_score: 35.5933, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0244, prior_entropy: 6.6439, recall: 0.0244, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1397, root_relative_squared_error: 1.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8453, kappa: 0.8441, kb_relative_information_score: 1352.4609, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8503, predictive_accuracy: 0.8456, prior_entropy: 6.6439, recall: 0.8456, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.5585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8176, kappa: 0.8138, kb_relative_information_score: 1304.3562, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8274, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8412, kappa: 0.8396, kb_relative_information_score: 1345.4457, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8475, predictive_accuracy: 0.8413, prior_entropy: 6.6439, recall: 0.8413, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.5663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7519, kappa: 0.7311, kb_relative_information_score: 1173.0703, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7923, predictive_accuracy: 0.7338, prior_entropy: 6.6439, recall: 0.7338, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8427, kappa: 0.8403, kb_relative_information_score: 1346.4479, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8476, predictive_accuracy: 0.8419, prior_entropy: 6.6439, recall: 0.8419, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.5652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.7991, kappa: 0.7967, kb_relative_information_score: 1277.2973, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.811, predictive_accuracy: 0.7988, prior_entropy: 6.6439, recall: 0.7988, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.832, kappa: 0.8295, kb_relative_information_score: 1329.4108, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8382, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, kappa: 0.1982, kb_relative_information_score: 327.2283, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2063, prior_entropy: 6.6439, recall: 0.2063, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.126, root_relative_squared_error: 1.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.243, kappa: 0.221, kb_relative_information_score: 363.3069, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3053, predictive_accuracy: 0.2288, prior_entropy: 6.6439, recall: 0.2288, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1242, root_relative_squared_error: 1.2482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8342, kappa: 0.8333, kb_relative_information_score: 1335.4238, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8409, predictive_accuracy: 0.835, prior_entropy: 6.6439, recall: 0.835, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.5774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.426, kappa: 0.3201, kb_relative_information_score: 520.6496, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.759, predictive_accuracy: 0.3269, prior_entropy: 6.6439, recall: 0.3269, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.116, root_relative_squared_error: 1.1661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0019, kb_relative_information_score: 15.5496, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, f_measure: 0.2744, kappa: 0.2538, kb_relative_information_score: 415.4204, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3211, predictive_accuracy: 0.2613, prior_entropy: 6.6439, recall: 0.2613, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1216, root_relative_squared_error: 1.2216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8383, kappa: 0.8346, kb_relative_information_score: 1337.4282, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8468, predictive_accuracy: 0.8363, prior_entropy: 6.6439, recall: 0.8363, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, kappa: 0.0082, kb_relative_information_score: 25.5714, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0181, prior_entropy: 6.6439, recall: 0.0181, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1401, root_relative_squared_error: 1.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8442, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8496, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8427, kappa: 0.8409, kb_relative_information_score: 1347.45, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8485, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8383, kappa: 0.8365, kb_relative_information_score: 1340.4348, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8437, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, kappa: 0.0069, kb_relative_information_score: 23.5671, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0169, prior_entropy: 6.6439, recall: 0.0169, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1402, root_relative_squared_error: 1.4093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.7796, kappa: 0.7784, kb_relative_information_score: 1248.234, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7987, predictive_accuracy: 0.7806, prior_entropy: 6.6439, recall: 0.7806, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.663, kappa: 0.6591, kb_relative_information_score: 1058.8215, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6892, predictive_accuracy: 0.6625, prior_entropy: 6.6439, recall: 0.6625, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, kappa: 0.1155, kb_relative_information_score: 195.9425, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1244, prior_entropy: 6.6439, recall: 0.1244, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1323, root_relative_squared_error: 1.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.535, kappa: 0.512, kb_relative_information_score: 825.313, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6023, predictive_accuracy: 0.5169, prior_entropy: 6.6439, recall: 0.5169, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.9879,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs