Task
Supervised Classification on diggle_table_a2

Supervised Classification on diggle_table_a2

Task 3683 Supervised Classification diggle_table_a2 538 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8537, kappa: 0.7061, kb_relative_information_score: 236.1406, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.8592, predictive_accuracy: 0.8548, prior_entropy: 0.997, recall: 0.8548, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.971, kappa: 0.9417, kb_relative_information_score: 284.6708, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 0.997, recall: 0.971, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 307.0841, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.0867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8537, kappa: 0.7061, kb_relative_information_score: 221.8185, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.8592, predictive_accuracy: 0.8548, prior_entropy: 0.997, recall: 0.8548, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9774, kappa: 0.9546, kb_relative_information_score: 292.7076, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.997, recall: 0.9774, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9806, kappa: 0.9611, kb_relative_information_score: 289.9181, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.136, root_relative_squared_error: 0.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 292.9521, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.997, recall: 0.9903, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.097, root_relative_squared_error: 0.1943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 300.3933, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.997, recall: 0.9903, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.2068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8949, kappa: 0.7899, kb_relative_information_score: 245.0433, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9135, predictive_accuracy: 0.8968, prior_entropy: 0.997, recall: 0.8968, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8537, kappa: 0.7061, kb_relative_information_score: 221.5005, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.8592, predictive_accuracy: 0.8548, prior_entropy: 0.997, recall: 0.8548, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9806, kappa: 0.9611, kb_relative_information_score: 286.8401, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.2778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.913, kappa: 0.8253, kb_relative_information_score: 256.0302, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9132, predictive_accuracy: 0.9129, prior_entropy: 0.997, recall: 0.9129, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 306.3634, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.1293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 298.1383, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.1305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4838, f_measure: 0.3698, kb_relative_information_score: -0.0596, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.997, recall: 0.5323, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9806, kappa: 0.9611, kb_relative_information_score: 291.105, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.2778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9839, kappa: 0.9676, kb_relative_information_score: 297.0366, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.997, recall: 0.9839, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.2242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9871, kappa: 0.9741, kb_relative_information_score: 300.5665, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9872, predictive_accuracy: 0.9871, prior_entropy: 0.997, recall: 0.9871, relative_absolute_error: 0.0312, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.1997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9742, kappa: 0.9481, kb_relative_information_score: 293.9931, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9745, predictive_accuracy: 0.9742, prior_entropy: 0.997, recall: 0.9742, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8537, kappa: 0.7061, kb_relative_information_score: 221.797, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.8592, predictive_accuracy: 0.8548, prior_entropy: 0.997, recall: 0.8548, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8537, kappa: 0.7061, kb_relative_information_score: 221.7189, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.8592, predictive_accuracy: 0.8548, prior_entropy: 0.997, recall: 0.8548, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9774, kappa: 0.9546, kb_relative_information_score: 290.5028, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.997, recall: 0.9774, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8537, kappa: 0.7061, kb_relative_information_score: 221.7406, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.8592, predictive_accuracy: 0.8548, prior_entropy: 0.997, recall: 0.8548, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.913, kappa: 0.8253, kb_relative_information_score: 255.6666, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9132, predictive_accuracy: 0.9129, prior_entropy: 0.997, recall: 0.9129, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 306.4627, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0357, root_relative_squared_error: 0.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.913, kappa: 0.8253, kb_relative_information_score: 255.6666, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9132, predictive_accuracy: 0.9129, prior_entropy: 0.997, recall: 0.9129, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8916, kappa: 0.7832, kb_relative_information_score: 243.5951, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9113, predictive_accuracy: 0.8935, prior_entropy: 0.997, recall: 0.8935, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8537, kappa: 0.7061, kb_relative_information_score: 221.7406, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.8592, predictive_accuracy: 0.8548, prior_entropy: 0.997, recall: 0.8548, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9152, kappa: 0.8299, kb_relative_information_score: 235.9715, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9257, predictive_accuracy: 0.9161, prior_entropy: 0.997, recall: 0.9161, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.4959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 305.3823, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0398, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3698, kb_relative_information_score: 18.2614, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.997, recall: 0.5323, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6839, root_relative_squared_error: 1.3707, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9935, kappa: 0.987, kb_relative_information_score: 305.9643, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.997, recall: 0.9935, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.161, scimark_benchmark: 1631.1992, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.925, kappa: 0.8495, kb_relative_information_score: 263.7142, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9349, predictive_accuracy: 0.9258, prior_entropy: 0.997, recall: 0.9258, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5459, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3698, kb_relative_information_score: 18.2614, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.997, recall: 0.5323, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6839, root_relative_squared_error: 1.3707, scimark_benchmark: 1630.2972, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.925, kappa: 0.8495, kb_relative_information_score: 263.7142, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9349, predictive_accuracy: 0.9258, prior_entropy: 0.997, recall: 0.9258, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5459, scimark_benchmark: 1378.6187, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9935, kappa: 0.987, kb_relative_information_score: 305.9643, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.997, recall: 0.9935, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.161, scimark_benchmark: 1366.3623, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 303.7309, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.997, recall: 0.9903, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.1587, scimark_benchmark: 1908.2191, usercpu_time_millis: 1203.125, usercpu_time_millis_training: 1203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9935, kappa: 0.987, kb_relative_information_score: 301.1428, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.997, recall: 0.9935, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.1573, scimark_benchmark: 1908.2191, usercpu_time_millis: 1125, usercpu_time_millis_training: 1125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9839, kappa: 0.9676, kb_relative_information_score: 296.7366, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.997, recall: 0.9839, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.2429, scimark_benchmark: 1313.9006, usercpu_time_millis: 720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 710,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9871, kappa: 0.9741, kb_relative_information_score: 300.5664, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9872, predictive_accuracy: 0.9871, prior_entropy: 0.997, recall: 0.9871, relative_absolute_error: 0.0312, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.1997, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9806, kappa: 0.9611, kb_relative_information_score: 291.105, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.2778, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8985, kappa: 0.7967, kb_relative_information_score: 247.6189, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9137, predictive_accuracy: 0.9, prior_entropy: 0.997, recall: 0.9, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.9286, kappa: 0.8565, kb_relative_information_score: 265.7261, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9333, predictive_accuracy: 0.929, prior_entropy: 0.997, recall: 0.929, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8848, kappa: 0.7699, kb_relative_information_score: 239.5713, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9069, predictive_accuracy: 0.8871, prior_entropy: 0.997, recall: 0.8871, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9513, kappa: 0.9022, kb_relative_information_score: 279.8095, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9556, predictive_accuracy: 0.9516, prior_entropy: 0.997, recall: 0.9516, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9903, kappa: 0.9805, kb_relative_information_score: 303.9524, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9905, predictive_accuracy: 0.9903, prior_entropy: 0.997, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.1972, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9774, kappa: 0.9547, kb_relative_information_score: 295.9047, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.978, predictive_accuracy: 0.9774, prior_entropy: 0.997, recall: 0.9774, relative_absolute_error: 0.0453, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3012, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9839, kappa: 0.9676, kb_relative_information_score: 288.9574, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.984, predictive_accuracy: 0.9839, prior_entropy: 0.997, recall: 0.9839, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2572, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8537, kappa: 0.7061, kb_relative_information_score: 221.8185, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.8592, predictive_accuracy: 0.8548, prior_entropy: 0.997, recall: 0.8548, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7366, scimark_benchmark: 1732.2066,

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