OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 23487 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9678, kappa: 0.9533, kb_relative_information_score: 747.9868, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9688, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.3101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9559, kappa: 0.9358, kb_relative_information_score: 704.3791, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9564, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.3562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.7902, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.7269, kappa: 0.6083, kb_relative_information_score: 472.4191, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7308, predictive_accuracy: 0.7277, prior_entropy: 1.7898, recall: 0.7277, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.95, kappa: 0.9272, kb_relative_information_score: 698.3138, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9502, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 1.9867, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9629, kappa: 0.9463, kb_relative_information_score: 794.2194, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.964, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.3114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 814.2169, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.1347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9488, kappa: 0.9255, kb_relative_information_score: 733.0472, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 1.7898, recall: 0.9489, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 810.6146, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.1266, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 32.1801, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 1.0595, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9405, kappa: 0.9133, kb_relative_information_score: 711.669, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9407, predictive_accuracy: 0.9405, prior_entropy: 1.7898, recall: 0.9405, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9394, kappa: 0.9118, kb_relative_information_score: 85.9875, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 1.7898, recall: 0.9394, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 820.1517, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.1199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 643.9297, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9809, kappa: 0.9723, kb_relative_information_score: 685.374, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 811.3033, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.061, root_relative_squared_error: 0.1471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 695.0277, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9787, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9413, kappa: 0.9142, kb_relative_information_score: 740.8929, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9446, predictive_accuracy: 0.9405, prior_entropy: 1.7898, recall: 0.9405, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.3534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kappa: 0.0006, kb_relative_information_score: 1.8746, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3698, prior_entropy: 1.7898, recall: 0.3698, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 822.5642, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9417, kappa: 0.9152, kb_relative_information_score: 86.5165, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9416, predictive_accuracy: 0.9417, prior_entropy: 1.7898, recall: 0.9417, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.879, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9439, kappa: 0.9184, kb_relative_information_score: 723.4326, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9444, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.3566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 727.2333, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9696, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9541, kappa: 0.9322, kb_relative_information_score: 763.5962, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9573, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.962, kappa: 0.9446, kb_relative_information_score: 798.6118, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9621, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 37.6826, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 1.0538, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4185, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.981, kappa: 0.9723, kb_relative_information_score: 817.1106, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.0285, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 822.4977, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9643, kappa: 0.9481, kb_relative_information_score: 44.2381, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 1.045, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.415, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 819.9704, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kappa: 0.0006, kb_relative_information_score: 2.0856, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3698, prior_entropy: 1.7898, recall: 0.3698, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.6083, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9833, kappa: 0.9758, kb_relative_information_score: 767.7332, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9838, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.2468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 822.1283, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.1076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 53.0042, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 1.0365, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, kappa: 0.7593, kb_relative_information_score: 29.959, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.8371, prior_entropy: 1.7898, recall: 0.8371, relative_absolute_error: 1.0605, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9406, kappa: 0.9135, kb_relative_information_score: 769.7042, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 1.7898, recall: 0.9405, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.4066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 822.0262, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.1078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, kb_relative_information_score: 5.3061, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9416, kappa: 0.9152, kb_relative_information_score: 769.1604, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9415, predictive_accuracy: 0.9417, prior_entropy: 1.7898, recall: 0.9417, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 679.2629, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 823.3373, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0315, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.1031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.975, kappa: 0.9636, kb_relative_information_score: 686.407, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 820.9149, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9738, kappa: 0.962, kb_relative_information_score: 622.2566, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9746, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kb_relative_information_score: 2.2727, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, kappa: 0.496, kb_relative_information_score: 200.7234, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6683, prior_entropy: 1.7898, recall: 0.6683, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kb_relative_information_score: 1.2938, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 817.9151, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9834, kappa: 0.9758, kb_relative_information_score: 202.9068, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.9377, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9643, kappa: 0.9483, kb_relative_information_score: 789.9452, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9655, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.2754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.8211, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1197,

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

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

OpenML APIs