OpenML
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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, kappa: 0.108, kb_relative_information_score: 183.9163, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1169, prior_entropy: 6.6439, recall: 0.1169, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1329, root_relative_squared_error: 1.3357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.6505, kappa: 0.6073, kb_relative_information_score: 976.6425, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7403, predictive_accuracy: 0.6113, prior_entropy: 6.6439, recall: 0.6113, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.837, 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: 0.8936, f_measure: 0.7945, kappa: 0.7872, kb_relative_information_score: 1262.2645, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8119, predictive_accuracy: 0.7894, prior_entropy: 6.6439, recall: 0.7894, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, kappa: 0.0038, kb_relative_information_score: 18.5562, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, kappa: 0.024, kb_relative_information_score: 50.626, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0338, prior_entropy: 6.6439, recall: 0.0338, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.139, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kappa: -0.0044, kb_relative_information_score: 5.5278, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.141, root_relative_squared_error: 1.4173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8448, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8495, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
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: 0.5379, kappa: 0.0758, kb_relative_information_score: 132.805, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.085, prior_entropy: 6.6439, recall: 0.085, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1353, root_relative_squared_error: 1.3596,
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: 0.8383, 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: 0.5006, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.218, 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: 0.2926, 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: 0.9208, f_measure: 0.8443, 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: 0.8505, 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: 0.9195, f_measure: 0.8407, kappa: 0.839, kb_relative_information_score: 1344.4435, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8453, predictive_accuracy: 0.8406, prior_entropy: 6.6439, recall: 0.8406, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, kappa: 0.0398, kb_relative_information_score: 75.6806, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0494, prior_entropy: 6.6439, recall: 0.0494, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1379, root_relative_squared_error: 1.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, kappa: 0.1761, kb_relative_information_score: 292.152, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1844, prior_entropy: 6.6439, recall: 0.1844, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1277, root_relative_squared_error: 1.2836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8386, kappa: 0.8371, kb_relative_information_score: 1341.4369, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8429, predictive_accuracy: 0.8388, prior_entropy: 6.6439, recall: 0.8388, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.5708,
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: 0.8093, f_measure: 0.6242, kappa: 0.6187, kb_relative_information_score: 994.6818, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6421, predictive_accuracy: 0.6225, prior_entropy: 6.6439, recall: 0.6225, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7775, kappa: 0.7614, kb_relative_information_score: 1221.1751, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8094, predictive_accuracy: 0.7638, prior_entropy: 6.6439, recall: 0.7638, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8129, kappa: 0.8093, kb_relative_information_score: 1297.3409, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8232, predictive_accuracy: 0.8113, prior_entropy: 6.6439, recall: 0.8113, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8476, kappa: 0.846, kb_relative_information_score: 1355.4675, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8519, predictive_accuracy: 0.8475, prior_entropy: 6.6439, recall: 0.8475, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.5551,
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: 0.9192, f_measure: 0.8399, 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: 0.8443, 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: 0.5063, 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: 0.9205, f_measure: 0.8425, 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: 0.8473, 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: 0.9195, f_measure: 0.8405, kappa: 0.839, kb_relative_information_score: 1344.4435, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8449, predictive_accuracy: 0.8406, prior_entropy: 6.6439, recall: 0.8406, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.2176, kappa: 0.1982, kb_relative_information_score: 327.2283, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2958, 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: 0.9233, f_measure: 0.8484, kappa: 0.8466, kb_relative_information_score: 1356.4697, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8527, predictive_accuracy: 0.8481, prior_entropy: 6.6439, recall: 0.8481, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.5539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8424, 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: 0.8484, 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: 0.679, kappa: 0.358, kb_relative_information_score: 580.7805, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3644, prior_entropy: 6.6439, recall: 0.3644, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1127, root_relative_squared_error: 1.1332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.7609, kappa: 0.7569, kb_relative_information_score: 1214.1598, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7777, predictive_accuracy: 0.7594, prior_entropy: 6.6439, recall: 0.7594, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8396, 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: 0.8437, 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: 0.5694, kappa: 0.1389, kb_relative_information_score: 233.0232, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1475, prior_entropy: 6.6439, recall: 0.1475, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1306, root_relative_squared_error: 1.3123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kappa: 0.0051, kb_relative_information_score: 20.5605, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.015, prior_entropy: 6.6439, recall: 0.015, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4106,
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: 0.7342, f_measure: 0.4932, kappa: 0.4684, kb_relative_information_score: 756.1624, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5855, predictive_accuracy: 0.4738, prior_entropy: 6.6439, recall: 0.4738, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1026, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.3192, kappa: 0.2229, kb_relative_information_score: 366.3135, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7248, predictive_accuracy: 0.2306, prior_entropy: 6.6439, recall: 0.2306, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.124, root_relative_squared_error: 1.2467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, kappa: 0.1452, kb_relative_information_score: 243.045, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1538, prior_entropy: 6.6439, recall: 0.1538, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8386, kappa: 0.8371, kb_relative_information_score: 1341.4369, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8425, predictive_accuracy: 0.8388, prior_entropy: 6.6439, recall: 0.8388, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.5708,
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: 0.7191, f_measure: 0.4475, kappa: 0.4381, kb_relative_information_score: 708.0577, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4857, predictive_accuracy: 0.4438, prior_entropy: 6.6439, recall: 0.4438, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1055, root_relative_squared_error: 1.0601,
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: 0.9227, f_measure: 0.8469, kappa: 0.8453, kb_relative_information_score: 1354.4653, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8511, predictive_accuracy: 0.8469, prior_entropy: 6.6439, recall: 0.8469, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, 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: 0.5979, f_measure: 0.2684, kappa: 0.1957, kb_relative_information_score: 323.2196, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5236, predictive_accuracy: 0.2038, prior_entropy: 6.6439, recall: 0.2038, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1262, root_relative_squared_error: 1.2683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, kappa: 0.0095, kb_relative_information_score: 27.5758, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0194, prior_entropy: 6.6439, recall: 0.0194, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.14, root_relative_squared_error: 1.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8413, 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: 0.9205, f_measure: 0.8424, 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: 0.8471, 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: 0.9138, f_measure: 0.8294, kappa: 0.8277, kb_relative_information_score: 1326.4042, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8375, predictive_accuracy: 0.8294, prior_entropy: 6.6439, recall: 0.8294, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.5871,
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: 0.9148, f_measure: 0.8312, 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: 0.8395, 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: 0.9214, f_measure: 0.8448, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8495, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.3281, kappa: 0.3087, kb_relative_information_score: 502.6103, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3734, predictive_accuracy: 0.3156, prior_entropy: 6.6439, recall: 0.3156, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.117, root_relative_squared_error: 1.1758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, kappa: 0.0379, kb_relative_information_score: 72.674, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0475, prior_entropy: 6.6439, recall: 0.0475, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.138, root_relative_squared_error: 1.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, kappa: 0.029, kb_relative_information_score: 58.6435, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0388, prior_entropy: 6.6439, recall: 0.0388, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1387, root_relative_squared_error: 1.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, kappa: 0.0284, kb_relative_information_score: 57.6413, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0381, prior_entropy: 6.6439, recall: 0.0381, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1387, root_relative_squared_error: 1.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.838, 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: 0.8425, 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: 0.5994, 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: 0.8813, f_measure: 0.7785, kappa: 0.7626, kb_relative_information_score: 1223.1794, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8092, predictive_accuracy: 0.765, prior_entropy: 6.6439, recall: 0.765, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.838, 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: 0.8424, 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: 0.8838, f_measure: 0.7718, kappa: 0.7677, kb_relative_information_score: 1231.1969, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7857, predictive_accuracy: 0.77, prior_entropy: 6.6439, recall: 0.77, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.6816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8387, kappa: 0.8371, kb_relative_information_score: 1341.4369, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8437, predictive_accuracy: 0.8388, prior_entropy: 6.6439, recall: 0.8388, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7533, kappa: 0.7462, kb_relative_information_score: 1197.1227, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7762, predictive_accuracy: 0.7488, prior_entropy: 6.6439, recall: 0.7488, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.7124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.2181, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2964, 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: 0.9189, f_measure: 0.8391, 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: 0.8426, 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: 0.7039, f_measure: 0.4174, kappa: 0.4078, kb_relative_information_score: 659.9529, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4501, predictive_accuracy: 0.4138, prior_entropy: 6.6439, recall: 0.4138, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1083, root_relative_squared_error: 1.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, kappa: 0.024, kb_relative_information_score: 50.626, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0338, prior_entropy: 6.6439, recall: 0.0338, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.139, root_relative_squared_error: 1.3971,
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: 0.8545, f_measure: 0.7432, kappa: 0.709, kb_relative_information_score: 1137.9939, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.802, predictive_accuracy: 0.7119, prior_entropy: 6.6439, recall: 0.7119, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8416, 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: 0.8464, 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: 0.9214, f_measure: 0.845, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.85, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.727, kappa: 0.6875, kb_relative_information_score: 1103.9197, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8016, predictive_accuracy: 0.6906, prior_entropy: 6.6439, recall: 0.6906, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8043, kappa: 0.8011, kb_relative_information_score: 1284.3125, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8138, predictive_accuracy: 0.8031, prior_entropy: 6.6439, recall: 0.8031, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, kappa: 0.0379, kb_relative_information_score: 72.674, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0475, prior_entropy: 6.6439, recall: 0.0475, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.138, root_relative_squared_error: 1.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8424, 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: 0.8473, 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: 0.5057, kappa: 0.0114, kb_relative_information_score: 30.5824, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0213, prior_entropy: 6.6439, recall: 0.0213, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1399, root_relative_squared_error: 1.4062,
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: 0.5515, kappa: 0.1029, kb_relative_information_score: 175.8988, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1119, prior_entropy: 6.6439, recall: 0.1119, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1333, root_relative_squared_error: 1.3395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8393, 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: 0.8432, 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: 0.923, f_measure: 0.8474, kappa: 0.846, kb_relative_information_score: 1355.4675, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8507, predictive_accuracy: 0.8475, prior_entropy: 6.6439, recall: 0.8475, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.5551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, kappa: 0.202, kb_relative_information_score: 333.2414, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.21, prior_entropy: 6.6439, recall: 0.21, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1257, root_relative_squared_error: 1.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8429, 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: 0.8479, 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: 0.8873, f_measure: 0.7929, kappa: 0.7746, kb_relative_information_score: 1242.2209, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8255, predictive_accuracy: 0.7769, prior_entropy: 6.6439, recall: 0.7769, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.6714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, kappa: 0.0095, kb_relative_information_score: 27.5758, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0194, prior_entropy: 6.6439, recall: 0.0194, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.14, root_relative_squared_error: 1.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5559, kappa: 0.1117, kb_relative_information_score: 189.9294, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1206, prior_entropy: 6.6439, recall: 0.1206, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1326, root_relative_squared_error: 1.3329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.376, kappa: 0.2727, kb_relative_information_score: 445.4859, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7474, predictive_accuracy: 0.28, prior_entropy: 6.6439, recall: 0.28, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.12, root_relative_squared_error: 1.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5152, kappa: 0.0303, kb_relative_information_score: 60.6478, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.04, prior_entropy: 6.6439, recall: 0.04, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1386, root_relative_squared_error: 1.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, 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: 0.9047, f_measure: 0.8153, kappa: 0.8093, kb_relative_information_score: 1297.3409, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8288, predictive_accuracy: 0.8113, prior_entropy: 6.6439, recall: 0.8113, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.334, kappa: 0.2361, kb_relative_information_score: 387.3593, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7322, predictive_accuracy: 0.2438, prior_entropy: 6.6439, recall: 0.2438, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.123, root_relative_squared_error: 1.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8476, kappa: 0.846, kb_relative_information_score: 1355.4675, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8528, predictive_accuracy: 0.8475, prior_entropy: 6.6439, recall: 0.8475, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.5551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7713, kappa: 0.7513, kb_relative_information_score: 1205.1401, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8066, predictive_accuracy: 0.7538, prior_entropy: 6.6439, recall: 0.7538, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0702, root_relative_squared_error: 0.7053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8317, kappa: 0.8289, kb_relative_information_score: 1328.4086, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8389, predictive_accuracy: 0.8306, prior_entropy: 6.6439, recall: 0.8306, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.585,
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: 0.9189, f_measure: 0.8391, 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: 0.8433, 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: 0.6458, f_measure: 0.3116, kappa: 0.2917, kb_relative_information_score: 475.5513, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3593, predictive_accuracy: 0.2988, prior_entropy: 6.6439, recall: 0.2988, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1184, root_relative_squared_error: 1.1902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8423, 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: 0.8489, 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: 0.8842, f_measure: 0.7697, kappa: 0.7683, kb_relative_information_score: 1232.1991, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7888, predictive_accuracy: 0.7706, prior_entropy: 6.6439, recall: 0.7706, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.6807,

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