OpenML
Supervised Classification on one-hundred-plants-shape

Supervised Classification on one-hundred-plants-shape

Task 9955 Supervised Classification one-hundred-plants-shape 13592 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: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, kappa: 0.2304, kb_relative_information_score: 378.3397, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2381, prior_entropy: 6.6439, recall: 0.2381, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1234, root_relative_squared_error: 1.2406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kappa: -0.0088, kb_relative_information_score: -1.4875, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0013, prior_entropy: 6.6439, recall: 0.0013, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1413, root_relative_squared_error: 1.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, kappa: 0.012, kb_relative_information_score: 31.5845, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0219, prior_entropy: 6.6439, recall: 0.0219, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1399, root_relative_squared_error: 1.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, kappa: 0.0196, kb_relative_information_score: 43.6107, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0294, prior_entropy: 6.6439, recall: 0.0294, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1393, root_relative_squared_error: 1.4003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7178, kappa: 0.7172, kb_relative_information_score: 1151.0223, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.729, predictive_accuracy: 0.72, prior_entropy: 6.6439, recall: 0.72, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.6043, kappa: 0.6143, kb_relative_information_score: 987.6666, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6223, predictive_accuracy: 0.6181, prior_entropy: 6.6439, recall: 0.6181, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7157, kappa: 0.7184, kb_relative_information_score: 1153.0266, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7307, predictive_accuracy: 0.7213, prior_entropy: 6.6439, recall: 0.7213, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7504,
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: 0.5896, kappa: 0.1793, kb_relative_information_score: 297.1629, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1875, prior_entropy: 6.6439, recall: 0.1875, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1275, root_relative_squared_error: 1.2812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kappa: -0.0051, kb_relative_information_score: 4.5256, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.005, prior_entropy: 6.6439, recall: 0.005, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1411, root_relative_squared_error: 1.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.6267, kappa: 0.6319, kb_relative_information_score: 1015.7277, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.648, predictive_accuracy: 0.6356, prior_entropy: 6.6439, recall: 0.6356, relative_absolute_error: 0.3681, 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: 0.8359, f_measure: 0.685, kappa: 0.6717, kb_relative_information_score: 1078.8652, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7163, predictive_accuracy: 0.675, prior_entropy: 6.6439, recall: 0.675, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.6299, kappa: 0.6351, kb_relative_information_score: 1020.7386, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6506, predictive_accuracy: 0.6388, prior_entropy: 6.6439, recall: 0.6388, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.085, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.5361, kappa: 0.5253, kb_relative_information_score: 846.3588, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5782, predictive_accuracy: 0.53, prior_entropy: 6.6439, recall: 0.53, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.097, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.3133, kappa: 0.2929, kb_relative_information_score: 477.5557, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3866, predictive_accuracy: 0.3, prior_entropy: 6.6439, recall: 0.3, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1183, root_relative_squared_error: 1.1892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7212, kappa: 0.7247, kb_relative_information_score: 1163.0485, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7361, predictive_accuracy: 0.7275, prior_entropy: 6.6439, recall: 0.7275, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, kappa: 0.1692, kb_relative_information_score: 281.128, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1775, prior_entropy: 6.6439, recall: 0.1775, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1283, root_relative_squared_error: 1.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kappa: -0.0019, kb_relative_information_score: 9.5365, 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: 1.0019, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1408, root_relative_squared_error: 1.4156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, kappa: 0.3258, kb_relative_information_score: 529.6692, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3325, prior_entropy: 6.6439, recall: 0.3325, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1155, root_relative_squared_error: 1.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kappa: 0.0025, kb_relative_information_score: 16.5518, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, kappa: 0.1686, kb_relative_information_score: 280.1258, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1769, prior_entropy: 6.6439, recall: 0.1769, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1283, root_relative_squared_error: 1.2895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, kappa: 0.4154, kb_relative_information_score: 671.9791, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4213, prior_entropy: 6.6439, recall: 0.4213, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1076, root_relative_squared_error: 1.0813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5117, kappa: 0.0234, kb_relative_information_score: 49.6238, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0331, prior_entropy: 6.6439, recall: 0.0331, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1391, root_relative_squared_error: 1.3976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5502, kappa: 0.1004, kb_relative_information_score: 171.8901, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1094, prior_entropy: 6.6439, recall: 0.1094, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1335, root_relative_squared_error: 1.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.6902, kappa: 0.6787, kb_relative_information_score: 1089.8892, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.719, predictive_accuracy: 0.6819, prior_entropy: 6.6439, recall: 0.6819, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, kappa: 0.1888, kb_relative_information_score: 312.1956, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1969, prior_entropy: 6.6439, recall: 0.1969, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1267, root_relative_squared_error: 1.2738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, kappa: 0.3068, kb_relative_information_score: 499.6037, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3138, prior_entropy: 6.6439, recall: 0.3138, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1172, root_relative_squared_error: 1.1774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0019, kb_relative_information_score: 15.5496, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7151, kappa: 0.7191, kb_relative_information_score: 1154.0288, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7306, predictive_accuracy: 0.7219, prior_entropy: 6.6439, recall: 0.7219, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, kappa: 0.2014, kb_relative_information_score: 332.2393, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2094, prior_entropy: 6.6439, recall: 0.2094, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1257, root_relative_squared_error: 1.2638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, kappa: 0.4148, kb_relative_information_score: 670.9769, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4206, prior_entropy: 6.6439, recall: 0.4206, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1076, root_relative_squared_error: 1.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, kappa: 0.4842, kb_relative_information_score: 781.217, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4894, prior_entropy: 6.6439, recall: 0.4894, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, kappa: 0.4937, kb_relative_information_score: 796.2497, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4988, prior_entropy: 6.6439, recall: 0.4988, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1001, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, kappa: 0.0745, kb_relative_information_score: 130.8006, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0838, prior_entropy: 6.6439, recall: 0.0838, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1354, root_relative_squared_error: 1.3605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, kappa: 0.1749, kb_relative_information_score: 290.1476, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1831, prior_entropy: 6.6439, recall: 0.1831, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1278, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, kappa: 0.4059, kb_relative_information_score: 656.9464, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4119, prior_entropy: 6.6439, recall: 0.4119, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1085, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.532, kappa: 0.5442, kb_relative_information_score: 876.4243, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5663, predictive_accuracy: 0.5488, prior_entropy: 6.6439, recall: 0.5488, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.095, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, kappa: 0.1111, kb_relative_information_score: 188.9272, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.12, prior_entropy: 6.6439, recall: 0.12, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1327, root_relative_squared_error: 1.3333,
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: 0.7573, f_measure: 0.5745, kappa: 0.5145, kb_relative_information_score: 829.3217, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7125, predictive_accuracy: 0.5194, prior_entropy: 6.6439, recall: 0.5194, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.098, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.656, kappa: 0.661, kb_relative_information_score: 1061.828, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6767, predictive_accuracy: 0.6644, prior_entropy: 6.6439, recall: 0.6644, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.8234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kappa: -0.0063, kb_relative_information_score: 2.5213, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0038, prior_entropy: 6.6439, recall: 0.0038, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kappa: -0.0063, kb_relative_information_score: 2.5213, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0038, prior_entropy: 6.6439, recall: 0.0038, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, kappa: 0.1471, kb_relative_information_score: 246.0516, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1556, prior_entropy: 6.6439, recall: 0.1556, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.1835, kappa: 0.1616, kb_relative_information_score: 269.1018, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2749, predictive_accuracy: 0.17, prior_entropy: 6.6439, recall: 0.17, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1288, root_relative_squared_error: 1.2949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, kappa: 0.149, kb_relative_information_score: 249.0581, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1575, prior_entropy: 6.6439, recall: 0.1575, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1298, root_relative_squared_error: 1.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, kappa: 0.2121, kb_relative_information_score: 349.2764, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.22, prior_entropy: 6.6439, recall: 0.22, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1249, root_relative_squared_error: 1.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.4468, kappa: 0.4539, kb_relative_information_score: 733.1122, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4911, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.104, root_relative_squared_error: 1.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.6094, kappa: 0.5991, kb_relative_information_score: 963.6142, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6604, predictive_accuracy: 0.6031, prior_entropy: 6.6439, recall: 0.6031, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.6608, kappa: 0.666, kb_relative_information_score: 1069.8455, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6774, predictive_accuracy: 0.6694, prior_entropy: 6.6439, recall: 0.6694, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, kappa: 0.3302, kb_relative_information_score: 536.6845, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3369, prior_entropy: 6.6439, recall: 0.3369, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1152, root_relative_squared_error: 1.1574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, kappa: 0.4848, kb_relative_information_score: 782.2192, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.49, prior_entropy: 6.6439, recall: 0.49, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.101, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7219, kappa: 0.7247, kb_relative_information_score: 1163.0485, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7367, predictive_accuracy: 0.7275, prior_entropy: 6.6439, recall: 0.7275, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.5119, kappa: 0.5284, kb_relative_information_score: 851.3697, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5462, predictive_accuracy: 0.5331, prior_entropy: 6.6439, recall: 0.5331, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7087, kappa: 0.7115, kb_relative_information_score: 1142.0026, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7217, predictive_accuracy: 0.7144, prior_entropy: 6.6439, recall: 0.7144, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 13.5453, 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: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.5431, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7195, kappa: 0.7216, kb_relative_information_score: 1158.0376, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7296, predictive_accuracy: 0.7244, prior_entropy: 6.6439, recall: 0.7244, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, kappa: 0.1414, kb_relative_information_score: 237.0319, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.15, prior_entropy: 6.6439, recall: 0.15, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1304, root_relative_squared_error: 1.3104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.6754, kappa: 0.678, kb_relative_information_score: 1088.887, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6949, predictive_accuracy: 0.6813, prior_entropy: 6.6439, recall: 0.6813, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kappa: -0.0013, kb_relative_information_score: 10.5387, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0088, prior_entropy: 6.6439, recall: 0.0088, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1408, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kappa: 0.0044, kb_relative_information_score: 19.5584, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0144, prior_entropy: 6.6439, recall: 0.0144, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.5431, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, kappa: 0.4059, kb_relative_information_score: 656.9464, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4119, prior_entropy: 6.6439, recall: 0.4119, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1085, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, kappa: 0.0568, kb_relative_information_score: 102.7395, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0663, prior_entropy: 6.6439, recall: 0.0663, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1367, root_relative_squared_error: 1.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, kappa: 0.19, kb_relative_information_score: 314.2, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1981, prior_entropy: 6.6439, recall: 0.1981, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1266, root_relative_squared_error: 1.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7179, kappa: 0.7203, kb_relative_information_score: 1156.0332, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7265, predictive_accuracy: 0.7231, prior_entropy: 6.6439, recall: 0.7231, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, kappa: 0.4583, kb_relative_information_score: 740.1275, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4638, prior_entropy: 6.6439, recall: 0.4638, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1036, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.706, kappa: 0.7045, kb_relative_information_score: 1130.9786, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7214, predictive_accuracy: 0.7075, prior_entropy: 6.6439, recall: 0.7075, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 13.5453, 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: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.6124, kappa: 0.6048, kb_relative_information_score: 972.6338, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.645, predictive_accuracy: 0.6088, prior_entropy: 6.6439, recall: 0.6088, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, kappa: 0.1686, kb_relative_information_score: 280.1258, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1769, prior_entropy: 6.6439, recall: 0.1769, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1283, root_relative_squared_error: 1.2895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5316, kappa: 0.0631, kb_relative_information_score: 112.7613, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0725, prior_entropy: 6.6439, recall: 0.0725, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1362, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, kappa: 0.06, kb_relative_information_score: 107.7504, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0694, prior_entropy: 6.6439, recall: 0.0694, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1364, root_relative_squared_error: 1.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, kappa: 0.1547, kb_relative_information_score: 258.0778, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1631, prior_entropy: 6.6439, recall: 0.1631, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1294, root_relative_squared_error: 1.3003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7054, kappa: 0.7071, kb_relative_information_score: 1134.9874, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7176, predictive_accuracy: 0.71, prior_entropy: 6.6439, recall: 0.71, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5117, kappa: 0.0234, kb_relative_information_score: 49.6238, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0331, prior_entropy: 6.6439, recall: 0.0331, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1391, root_relative_squared_error: 1.3976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7156, kappa: 0.7197, kb_relative_information_score: 1155.031, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7266, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.6974, kappa: 0.6995, kb_relative_information_score: 1122.9612, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7111, predictive_accuracy: 0.7025, prior_entropy: 6.6439, recall: 0.7025, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.7752,
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: 0.7393, kappa: 0.4785, kb_relative_information_score: 772.1973, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4838, prior_entropy: 6.6439, recall: 0.4838, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1016, root_relative_squared_error: 1.0212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, kappa: 0.1559, kb_relative_information_score: 260.0821, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1644, prior_entropy: 6.6439, recall: 0.1644, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1293, root_relative_squared_error: 1.2993,
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: 0.4968, kappa: -0.0063, kb_relative_information_score: 2.5213, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0038, prior_entropy: 6.6439, recall: 0.0038, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, kappa: 0.0928, kb_relative_information_score: 159.8639, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1019, prior_entropy: 6.6439, recall: 0.1019, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.134, root_relative_squared_error: 1.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.6655, kappa: 0.6395, kb_relative_information_score: 1027.7538, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7139, predictive_accuracy: 0.6431, prior_entropy: 6.6439, recall: 0.6431, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.8491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, kappa: 0.2904, kb_relative_information_score: 473.547, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2975, prior_entropy: 6.6439, recall: 0.2975, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1185, root_relative_squared_error: 1.1913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kappa: 0.0088, kb_relative_information_score: 26.5736, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0188, prior_entropy: 6.6439, recall: 0.0188, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1401, root_relative_squared_error: 1.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.6915, kappa: 0.6938, kb_relative_information_score: 1113.9415, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7081, predictive_accuracy: 0.6969, prior_entropy: 6.6439, recall: 0.6969, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7051, kappa: 0.7058, kb_relative_information_score: 1132.983, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7184, predictive_accuracy: 0.7088, prior_entropy: 6.6439, recall: 0.7088, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.7671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.6185, kappa: 0.625, kb_relative_information_score: 1004.7037, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6394, predictive_accuracy: 0.6288, prior_entropy: 6.6439, recall: 0.6288, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, kappa: 0.1471, kb_relative_information_score: 246.0516, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1556, prior_entropy: 6.6439, recall: 0.1556, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.6848, 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: 0.6989, 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: 0.72, kappa: 0.44, kb_relative_information_score: 711.0642, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4456, prior_entropy: 6.6439, recall: 0.4456, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1053, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7241, kappa: 0.7279, kb_relative_information_score: 1168.0594, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7374, predictive_accuracy: 0.7306, prior_entropy: 6.6439, recall: 0.7306, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.7377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.5992, kappa: 0.6067, kb_relative_information_score: 975.6404, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6231, predictive_accuracy: 0.6106, prior_entropy: 6.6439, recall: 0.6106, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.8869,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs