Task
Supervised Classification on analcatdata_bankruptcy

Supervised Classification on analcatdata_bankruptcy

Task 3565 Supervised Classification analcatdata_bankruptcy 109 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 28.4024, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 29.6408, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 32.7885, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8397, kappa: 0.68, kb_relative_information_score: 30.6753, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7108,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.839, kappa: 0.68, kb_relative_information_score: 31.5205, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8489, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 33.8472, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 34.9878, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8798, kappa: 0.76, kb_relative_information_score: 36.5356, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8824, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8397, kappa: 0.68, kb_relative_information_score: 34.1873, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8595, kappa: 0.72, kb_relative_information_score: 32.0262, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8653, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8595, kappa: 0.72, kb_relative_information_score: 36.1381, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8653, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.839, kappa: 0.68, kb_relative_information_score: 31.0885, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8489, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.358, root_relative_squared_error: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8397, kappa: 0.68, kb_relative_information_score: 28.9995, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8572, kappa: 0.72, kb_relative_information_score: 35.0521, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8906, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 32.174, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8397, kappa: 0.68, kb_relative_information_score: 14.3854, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3037, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 30.4613, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9398, kappa: 0.88, kb_relative_information_score: 37.4935, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9464, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.232, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 38.2356, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9006, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 17.7136, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 40, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 32.9612, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.382, root_relative_squared_error: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8586, kappa: 0.72, kb_relative_information_score: 31.786, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.875, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8572, kappa: 0.72, kb_relative_information_score: 36, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8906, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8572, kappa: 0.72, kb_relative_information_score: 36, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8906, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.839, kappa: 0.68, kb_relative_information_score: 31.0242, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8489, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.839, kappa: 0.68, kb_relative_information_score: 30.6853, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8489, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8782, kappa: 0.76, kb_relative_information_score: 38, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9032, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 32.9612, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.382, root_relative_squared_error: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9199, kappa: 0.84, kb_relative_information_score: 37.6951, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9227, predictive_accuracy: 0.92, prior_entropy: 1, recall: 0.92, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.5612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4184, f_measure: 0.4141, kappa: -0.16, kb_relative_information_score: -0.1888, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4167, predictive_accuracy: 0.42, prior_entropy: 1, recall: 0.42, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 30.7122, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8397, kappa: 0.68, kb_relative_information_score: 34, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.7399, kappa: 0.48, kb_relative_information_score: 24, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7404, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0198, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 10, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 10, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 1389.353, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -10, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.5492, scimark_benchmark: 1635.1496, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.7399, kappa: 0.48, kb_relative_information_score: 24, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.7404, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0198, scimark_benchmark: 1379.0972, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 42.956, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9407, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.4753, scimark_benchmark: 1918.4916, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 38.5131, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9006, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5222, scimark_benchmark: 1918.4916, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8798, kappa: 0.76, kb_relative_information_score: 38, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8824, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 1427.64, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.88, kappa: 0.76, kb_relative_information_score: 36.7888, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5473, scimark_benchmark: 1446.9893, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 36.1336, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9006, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5189, scimark_benchmark: 1255.8196, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 36, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7483, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 36, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7483, usercpu_time_millis: 14.2, usercpu_time_millis_testing: 3.28, usercpu_time_millis_training: 10.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 34, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8, usercpu_time_millis: 97.67, usercpu_time_millis_testing: 46.61, usercpu_time_millis_training: 51.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8397, kappa: 0.68, kb_relative_information_score: 34, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8, usercpu_time_millis: 24.93, usercpu_time_millis_testing: 4.58, usercpu_time_millis_training: 20.35,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.839, kappa: 0.68, kb_relative_information_score: 31.0096, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8489, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7257, scimark_benchmark: 1337.3219, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8358, kappa: 0.68, kb_relative_information_score: 34, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8788, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8782, kappa: 0.76, kb_relative_information_score: 38, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9032, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 38.0778, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9407, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.254, root_relative_squared_error: 0.508, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8798, kappa: 0.76, kb_relative_information_score: 36.0357, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8824, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6614, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 34.883, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7335, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8397, kappa: 0.68, kb_relative_information_score: 33.4355, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8031, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 29.651, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7855, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.7997, kappa: 0.6, kb_relative_information_score: 24.1394, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8019, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8539, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 33.5031, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9006, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5776, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.839, kappa: 0.68, kb_relative_information_score: 31.5064, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8489, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7114, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 32.9612, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.382, root_relative_squared_error: 0.764, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.839, kappa: 0.68, kb_relative_information_score: 31.0096, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8489, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7257, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8358, kappa: 0.68, kb_relative_information_score: 34, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8788, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8782, kappa: 0.76, kb_relative_information_score: 38, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9032, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 38.0778, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9407, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.254, root_relative_squared_error: 0.508, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8798, kappa: 0.76, kb_relative_information_score: 36.0357, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8824, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6614, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 34.883, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7335, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8397, kappa: 0.68, kb_relative_information_score: 33.4355, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8422, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8031, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 29.651, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7855, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.7997, kappa: 0.6, kb_relative_information_score: 24.1394, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8019, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8539, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 33.5031, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9006, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5776, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.839, kappa: 0.68, kb_relative_information_score: 31.5064, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8489, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7114, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 32.9612, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.382, root_relative_squared_error: 0.764, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 29.8797, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8785, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 34.8675, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5357, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 31.3714, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.837, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 27.7347, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7708, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8996, kappa: 0.8, kb_relative_information_score: 34.7867, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9058, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5234, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8798, kappa: 0.76, kb_relative_information_score: 35.9095, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8824, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6205, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 40, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8358, kappa: 0.68, kb_relative_information_score: 34, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8788, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8, scimark_benchmark: 888.1823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8798, kappa: 0.76, kb_relative_information_score: 36.0357, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8824, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6614, scimark_benchmark: 1041.1354, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 28.6946, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.785, scimark_benchmark: 1084.2297, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9195, kappa: 0.84, kb_relative_information_score: 42, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.931, predictive_accuracy: 0.92, prior_entropy: 1, recall: 0.92, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5657, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8792, kappa: 0.76, kb_relative_information_score: 38, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.89, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8595, kappa: 0.72, kb_relative_information_score: 32.3946, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8653, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6483, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.839, kappa: 0.68, kb_relative_information_score: 31.0242, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8489, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7253, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8595, kappa: 0.72, kb_relative_information_score: 32.5201, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8653, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6431, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.839, kappa: 0.68, kb_relative_information_score: 31.5205, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8489, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7111, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 8.265, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8833, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 17.7136, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7456, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3171, mean_absolute_error: 0.5022, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0047, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.3171, mean_absolute_error: 0.5022, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0047, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 34.883, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7335, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 34.883, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7335, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 32.9612, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7359, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 32.9612, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.382, root_relative_squared_error: 0.764, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8798, kappa: 0.76, kb_relative_information_score: 31.689, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.5, number_of_instances: 50, precision: 0.8824, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5794, scimark_benchmark: 1840.6094,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs