OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13041 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: 0.9938, f_measure: 0.684, kappa: 0.7014, kb_relative_information_score: 956.798, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7251, predictive_accuracy: 0.7044, prior_entropy: 6.6439, recall: 0.7044, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.6396, kappa: 0.6263, kb_relative_information_score: 876.1647, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6675, predictive_accuracy: 0.63, prior_entropy: 6.6439, recall: 0.63, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.8461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3082, kappa: -0.0019, kb_relative_information_score: 13.0329, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0081, prior_entropy: 6.6439, recall: 0.0081, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8112, kappa: 0.8062, kb_relative_information_score: 977.8267, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8213, predictive_accuracy: 0.8081, prior_entropy: 6.6439, recall: 0.8081, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, kappa: 0.1654, kb_relative_information_score: 396.7705, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1738, prior_entropy: 6.6439, recall: 0.1738, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.776, kappa: 0.7854, kb_relative_information_score: 1048.4509, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7919, predictive_accuracy: 0.7875, prior_entropy: 6.6439, recall: 0.7875, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.8049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4522, kappa: 0.0025, kb_relative_information_score: 37.6153, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.6919, kappa: 0.6963, kb_relative_information_score: 0.1755, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.702, predictive_accuracy: 0.6994, prior_entropy: 6.6439, recall: 0.6994, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.829, kappa: 0.8295, kb_relative_information_score: 1.1156, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8336, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3335, kappa: -0.0069, kb_relative_information_score: 16.701, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0031, prior_entropy: 6.6439, recall: 0.0031, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.5892, kappa: 0.5947, kb_relative_information_score: 1110.7899, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.602, predictive_accuracy: 0.5988, prior_entropy: 6.6439, recall: 0.5988, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8119, kappa: 0.815, kb_relative_information_score: 1171.2267, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8188, predictive_accuracy: 0.8169, prior_entropy: 6.6439, recall: 0.8169, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.7168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7816, kappa: 0.779, kb_relative_information_score: 1365.3688, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7892, predictive_accuracy: 0.7813, prior_entropy: 6.6439, recall: 0.7813, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.5629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, kappa: 0.6357, kb_relative_information_score: 796.5154, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6394, prior_entropy: 6.6439, recall: 0.6394, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8427, kappa: 0.8428, kb_relative_information_score: 0.7938, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8465, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.7283, kappa: 0.7431, kb_relative_information_score: 1024.9367, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.745, predictive_accuracy: 0.7456, prior_entropy: 6.6439, recall: 0.7456, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7842, kappa: 0.7803, kb_relative_information_score: 959.6864, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7934, predictive_accuracy: 0.7825, prior_entropy: 6.6439, recall: 0.7825, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3165, kappa: -0.0044, kb_relative_information_score: 10.3186, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.8136, kappa: 0.8144, kb_relative_information_score: 1381.2948, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8184, predictive_accuracy: 0.8163, prior_entropy: 6.6439, recall: 0.8163, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.054, root_relative_squared_error: 0.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.7416, kappa: 0.7336, kb_relative_information_score: 0.2627, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7614, predictive_accuracy: 0.7363, prior_entropy: 6.6439, recall: 0.7363, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7385, kappa: 0.7532, kb_relative_information_score: 851.4254, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7702, predictive_accuracy: 0.7556, prior_entropy: 6.6439, recall: 0.7556, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.8991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4411, kappa: -0.0019, kb_relative_information_score: 44.8234, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0081, prior_entropy: 6.6439, recall: 0.0081, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7172, kappa: 0.7348, kb_relative_information_score: 971.6344, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7464, predictive_accuracy: 0.7375, prior_entropy: 6.6439, recall: 0.7375, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.8499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.719, kappa: 0.7323, kb_relative_information_score: 997.0954, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.738, predictive_accuracy: 0.735, prior_entropy: 6.6439, recall: 0.735, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.7227, kappa: 0.7285, kb_relative_information_score: 1174.0662, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7302, predictive_accuracy: 0.7313, prior_entropy: 6.6439, recall: 0.7313, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.7119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4817, kappa: 0.0025, kb_relative_information_score: 72.0946, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.6324, kappa: 0.6471, kb_relative_information_score: 1003.6766, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6469, predictive_accuracy: 0.6506, prior_entropy: 6.6439, recall: 0.6506, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.7052, kappa: 0.7128, kb_relative_information_score: 0.2328, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7243, predictive_accuracy: 0.7156, prior_entropy: 6.6439, recall: 0.7156, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4812, kappa: 0.0025, kb_relative_information_score: 40.5107, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7307, kappa: 0.7184, kb_relative_information_score: 1242.2524, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7811, predictive_accuracy: 0.7213, prior_entropy: 6.6439, recall: 0.7213, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.6585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.812, kappa: 0.8068, kb_relative_information_score: 984.9453, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.821, predictive_accuracy: 0.8088, prior_entropy: 6.6439, recall: 0.8088, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7954, kappa: 0.7948, kb_relative_information_score: 1356.9357, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8034, predictive_accuracy: 0.7969, prior_entropy: 6.6439, recall: 0.7969, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.691, kappa: 0.7096, kb_relative_information_score: 894.8417, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7333, predictive_accuracy: 0.7125, prior_entropy: 6.6439, recall: 0.7125, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.8855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.7218, kappa: 0.7285, kb_relative_information_score: 0.2237, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7413, predictive_accuracy: 0.7313, prior_entropy: 6.6439, recall: 0.7313, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.4749, kappa: 0.4987, kb_relative_information_score: 1017.0944, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4939, predictive_accuracy: 0.5038, prior_entropy: 6.6439, recall: 0.5038, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.8202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.8134, kappa: 0.8131, kb_relative_information_score: 1377.2648, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8178, predictive_accuracy: 0.815, prior_entropy: 6.6439, recall: 0.815, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, kappa: 0.5215, kb_relative_information_score: 986.5354, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5263, prior_entropy: 6.6439, recall: 0.5263, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.828, kappa: 0.8245, kb_relative_information_score: 986.818, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.836, predictive_accuracy: 0.8263, prior_entropy: 6.6439, recall: 0.8263, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8094, kappa: 0.8049, kb_relative_information_score: 972.9438, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8204, predictive_accuracy: 0.8069, prior_entropy: 6.6439, recall: 0.8069, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.7266, kappa: 0.7298, kb_relative_information_score: 873.4825, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7576, predictive_accuracy: 0.7325, prior_entropy: 6.6439, recall: 0.7325, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.83, kappa: 0.8264, kb_relative_information_score: 984.5814, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8379, predictive_accuracy: 0.8281, prior_entropy: 6.6439, recall: 0.8281, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.6813, kappa: 0.6812, kb_relative_information_score: 1158.953, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6893, predictive_accuracy: 0.6844, prior_entropy: 6.6439, recall: 0.6844, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.7273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4129, kappa: -0.0038, kb_relative_information_score: 3.4079, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, kappa: 0.3889, kb_relative_information_score: 421.1858, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.395, prior_entropy: 6.6439, recall: 0.395, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8439, kappa: 0.8403, kb_relative_information_score: 982.5189, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8498, predictive_accuracy: 0.8419, prior_entropy: 6.6439, recall: 0.8419, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.371, kappa: -0.0101, kb_relative_information_score: 18.8087, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, kappa: 0.6237, kb_relative_information_score: 906.7437, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6275, prior_entropy: 6.6439, recall: 0.6275, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, kappa: 0.5631, kb_relative_information_score: 243.1407, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5675, prior_entropy: 6.6439, recall: 0.5675, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.8137, kappa: 0.8093, kb_relative_information_score: 0.2427, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8262, predictive_accuracy: 0.8113, prior_entropy: 6.6439, recall: 0.8113, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.4353, kappa: 0.4514, kb_relative_information_score: 0.0708, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4958, predictive_accuracy: 0.4569, prior_entropy: 6.6439, recall: 0.4569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8336, kappa: 0.8359, kb_relative_information_score: 1154.4665, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8386, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, kappa: 0.4987, kb_relative_information_score: 862.6745, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5038, prior_entropy: 6.6439, recall: 0.5038, relative_absolute_error: 0.8559, 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: 0.9944, f_measure: 0.723, kappa: 0.7298, kb_relative_information_score: 1136.0941, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7417, predictive_accuracy: 0.7325, prior_entropy: 6.6439, recall: 0.7325, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8153, kappa: 0.8182, kb_relative_information_score: 1175.4859, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8274, predictive_accuracy: 0.82, prior_entropy: 6.6439, recall: 0.82, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.071, root_relative_squared_error: 0.7133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7773, kappa: 0.7797, kb_relative_information_score: 1154.9385, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7858, predictive_accuracy: 0.7819, prior_entropy: 6.6439, recall: 0.7819, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.7097, kappa: 0.7229, kb_relative_information_score: 1107.8883, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7274, predictive_accuracy: 0.7256, prior_entropy: 6.6439, recall: 0.7256, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.076, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8391, kappa: 0.8359, kb_relative_information_score: 984.2223, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8458, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.729, kappa: 0.7323, kb_relative_information_score: 1174.3154, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7351, predictive_accuracy: 0.735, prior_entropy: 6.6439, recall: 0.735, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.071, root_relative_squared_error: 0.7134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8345, kappa: 0.8314, kb_relative_information_score: 987.3478, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8413, predictive_accuracy: 0.8331, prior_entropy: 6.6439, recall: 0.8331, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.7343, kappa: 0.7367, kb_relative_information_score: 902.5462, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7568, predictive_accuracy: 0.7394, prior_entropy: 6.6439, recall: 0.7394, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, kappa: 0.5505, kb_relative_information_score: 1000.6809, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.555, prior_entropy: 6.6439, recall: 0.555, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5759, kappa: 0.0025, kb_relative_information_score: 41.5755, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.6174, kappa: 0.6402, kb_relative_information_score: 935.0535, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6639, predictive_accuracy: 0.6438, prior_entropy: 6.6439, recall: 0.6438, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.6077, kappa: 0.6326, kb_relative_information_score: 932.8687, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6655, predictive_accuracy: 0.6363, prior_entropy: 6.6439, recall: 0.6363, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.5006, kappa: 0.5139, kb_relative_information_score: 1045.9173, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5108, predictive_accuracy: 0.5188, prior_entropy: 6.6439, recall: 0.5188, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3016, kappa: -0.0101, kb_relative_information_score: 5.6609, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7719, kappa: 0.779, kb_relative_information_score: 1142.1525, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7854, predictive_accuracy: 0.7813, prior_entropy: 6.6439, recall: 0.7813, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, kappa: 0.548, kb_relative_information_score: 0.1441, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5525, prior_entropy: 6.6439, recall: 0.5525, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, kappa: 0.0196, kb_relative_information_score: 53.0346, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0294, prior_entropy: 6.6439, recall: 0.0294, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, kappa: 0.0448, kb_relative_information_score: 61.3196, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0544, prior_entropy: 6.6439, recall: 0.0544, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4098, kappa: 0.0013, kb_relative_information_score: 22.6302, 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: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.78, kappa: 0.7891, kb_relative_information_score: 1053.5348, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7939, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, kappa: 0.0303, kb_relative_information_score: 15.4599, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.04, prior_entropy: 6.6439, recall: 0.04, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, kappa: 0.3706, kb_relative_information_score: 451.5662, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3769, prior_entropy: 6.6439, recall: 0.3769, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.097, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8348, kappa: 0.8314, kb_relative_information_score: 985.9035, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8429, predictive_accuracy: 0.8331, prior_entropy: 6.6439, recall: 0.8331, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2253, kappa: 0.0006, kb_relative_information_score: 4.3316, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0106, prior_entropy: 6.6439, recall: 0.0106, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4319, kappa: 0.0025, kb_relative_information_score: 27.2883, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.5348, kappa: 0.5379, kb_relative_information_score: 1081.8904, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5424, predictive_accuracy: 0.5425, prior_entropy: 6.6439, recall: 0.5425, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, kappa: 0.6654, kb_relative_information_score: 932.9863, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6688, prior_entropy: 6.6439, recall: 0.6688, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.7075, kappa: 0.7102, kb_relative_information_score: 895.4328, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.719, predictive_accuracy: 0.7131, prior_entropy: 6.6439, recall: 0.7131, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4229, kappa: 0.0025, kb_relative_information_score: 18.0111, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.6626, kappa: 0.6496, kb_relative_information_score: 679.7797, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7132, predictive_accuracy: 0.6531, prior_entropy: 6.6439, recall: 0.6531, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.9354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8232, kappa: 0.8194, kb_relative_information_score: 984.9465, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8313, predictive_accuracy: 0.8213, prior_entropy: 6.6439, recall: 0.8213, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, kappa: 0.0025, kb_relative_information_score: 12.4631, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7407, kappa: 0.7481, kb_relative_information_score: 1083.2711, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.757, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5756, kappa: 0.0025, kb_relative_information_score: 59.5127, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3216, kappa: -0.0101, kb_relative_information_score: 15.4555, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.6292, kappa: 0.6023, kb_relative_information_score: 1076.5352, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7087, predictive_accuracy: 0.6063, prior_entropy: 6.6439, recall: 0.6063, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.7676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7773, kappa: 0.7746, kb_relative_information_score: 937.6238, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7881, predictive_accuracy: 0.7769, prior_entropy: 6.6439, recall: 0.7769, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7314, kappa: 0.7393, kb_relative_information_score: 1084.6764, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.748, predictive_accuracy: 0.7419, prior_entropy: 6.6439, recall: 0.7419, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.7851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, kappa: 0.3074, kb_relative_information_score: 559.7275, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3144, prior_entropy: 6.6439, recall: 0.3144, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8257, kappa: 0.822, kb_relative_information_score: 981.1444, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8337, predictive_accuracy: 0.8238, prior_entropy: 6.6439, recall: 0.8238, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.8106, kappa: 0.8119, kb_relative_information_score: 1.0797, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8165, predictive_accuracy: 0.8138, prior_entropy: 6.6439, recall: 0.8138, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8219, kappa: 0.8188, kb_relative_information_score: 983.7374, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.831, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8241, kappa: 0.8201, kb_relative_information_score: 980.8319, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8328, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8359, kappa: 0.8321, kb_relative_information_score: 988.3715, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8436, predictive_accuracy: 0.8338, prior_entropy: 6.6439, recall: 0.8338, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8206, kappa: 0.8245, kb_relative_information_score: 1169.0339, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8253, predictive_accuracy: 0.8263, prior_entropy: 6.6439, recall: 0.8263, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.7179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.6636, kappa: 0.6679, kb_relative_information_score: 1147.307, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6719, predictive_accuracy: 0.6713, prior_entropy: 6.6439, recall: 0.6713, relative_absolute_error: 0.6307, 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: 0.9815, f_measure: 0.5751, kappa: 0.5391, kb_relative_information_score: 880.5396, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6755, predictive_accuracy: 0.5438, prior_entropy: 6.6439, recall: 0.5438, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.6863, kappa: 0.7045, kb_relative_information_score: 950.3998, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7199, predictive_accuracy: 0.7075, prior_entropy: 6.6439, recall: 0.7075, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.8622,

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