Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 103917 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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103917 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6846, kappa: 0.2866, kb_relative_information_score: 173.6132, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6974, predictive_accuracy: 0.7098, prior_entropy: 0.9312, recall: 0.7098, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: 8.7828, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.6986, kappa: 0.3245, kb_relative_information_score: 170.0433, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7566, predictive_accuracy: 0.738, prior_entropy: 0.9312, recall: 0.738, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kb_relative_information_score: -11.5296, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 34.2066, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9779, kappa: 0.9509, kb_relative_information_score: 685.5095, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9788, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, kb_relative_information_score: 6.4838, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -5.615, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -31.4799, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 9.8622, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kb_relative_information_score: 7.5899, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kb_relative_information_score: -1.1045, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: 23.7278, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3662, kappa: -0.0005, kb_relative_information_score: -384.8343, mean_absolute_error: 0.6129, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5465, predictive_accuracy: 0.4071, prior_entropy: 0.9312, recall: 0.4071, relative_absolute_error: 1.3529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.7543, root_relative_squared_error: 1.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -30.498, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0163, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -482.2448, mean_absolute_error: 0.6534, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.4425, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.8084, root_relative_squared_error: 1.6987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9717, kappa: 0.9374, kb_relative_information_score: 711.4751, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: 0.4664, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -3.9634, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -51.1373, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0279, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -47.0639, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0256, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.91, kappa: 0.7978, kb_relative_information_score: 458.9646, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9161, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -30.3403, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0162, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 2.5705, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 23.3262, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.5381, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7293, kappa: 0.3906, kb_relative_information_score: 202.7166, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7792, predictive_accuracy: 0.7599, prior_entropy: 0.9312, recall: 0.7599, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, kb_relative_information_score: 0.6662, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 26.7321, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 101.5428, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -17.6035, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.6845, kappa: 0.3036, kb_relative_information_score: 137.6392, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8027, predictive_accuracy: 0.739, prior_entropy: 0.9312, recall: 0.739, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, kb_relative_information_score: -30.0945, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0161, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7603, kappa: 0.4581, kb_relative_information_score: 273.4848, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7712, predictive_accuracy: 0.7735, prior_entropy: 0.9312, recall: 0.7735, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7121, kappa: 0.3503, kb_relative_information_score: 269.7974, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.745, predictive_accuracy: 0.7411, prior_entropy: 0.9312, recall: 0.7411, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.542, kb_relative_information_score: 1.9982, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, kb_relative_information_score: -19.8912, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7014, kappa: 0.33, kb_relative_information_score: 168.4576, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6994, predictive_accuracy: 0.7088, prior_entropy: 0.9312, recall: 0.7088, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -6.7664, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 124.9223, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -10.1359, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7318, kappa: 0.3933, kb_relative_information_score: 219.9745, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7519, predictive_accuracy: 0.7526, prior_entropy: 0.9312, recall: 0.7526, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -482.2448, mean_absolute_error: 0.6534, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.4425, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.8084, root_relative_squared_error: 1.6987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, kb_relative_information_score: 15.2445, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, kb_relative_information_score: -9.8828, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -1.4952, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kb_relative_information_score: -5.7515, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 8.3347, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, kb_relative_information_score: 42.3261, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kb_relative_information_score: 2.5993, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7253, kappa: 0.3813, kb_relative_information_score: 160.8394, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7259, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, kb_relative_information_score: -17.4667, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -2.2961, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -30.8221, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -49.5656, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.027, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.5488, kappa: 0.0387, kb_relative_information_score: -56.7021, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5652, predictive_accuracy: 0.5397, prior_entropy: 0.9312, recall: 0.5397, relative_absolute_error: 1.0162, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6785, root_relative_squared_error: 1.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -6.6983, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9779, kappa: 0.951, kb_relative_information_score: 695.8089, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9785, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.7176, kappa: 0.3629, kb_relative_information_score: 167.5383, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7528, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kb_relative_information_score: 13.4078, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: 4.1062, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9811, kappa: 0.9582, kb_relative_information_score: 811.035, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9814, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.3038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.3891, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 9.849, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.5423, kappa: 0.0338, kb_relative_information_score: 41.3807, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6455, predictive_accuracy: 0.6587, prior_entropy: 0.9312, recall: 0.6587, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -482.2448, mean_absolute_error: 0.6534, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.4425, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.8084, root_relative_squared_error: 1.6987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -13.8695, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 9.3308, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7098, kappa: 0.3461, kb_relative_information_score: 133.3694, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7481, predictive_accuracy: 0.7411, prior_entropy: 0.9312, recall: 0.7411, relative_absolute_error: 0.877, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, kb_relative_information_score: 3.8529, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -44.6644, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0242, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9034, kappa: 0.7821, kb_relative_information_score: 442.6457, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9166, predictive_accuracy: 0.9071, prior_entropy: 0.9312, recall: 0.9071, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -0.8337, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.776, kappa: 0.4943, kb_relative_information_score: 301.3096, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7834, predictive_accuracy: 0.786, prior_entropy: 0.9312, recall: 0.786, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, kb_relative_information_score: 8.1115, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.6952, kappa: 0.3116, kb_relative_information_score: 175.1993, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.697, predictive_accuracy: 0.7098, prior_entropy: 0.9312, recall: 0.7098, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, kb_relative_information_score: -11.4235, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, kb_relative_information_score: -21.8012, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, kb_relative_information_score: -8.5225, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7451, kappa: 0.4234, kb_relative_information_score: 266.3286, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7559, predictive_accuracy: 0.7599, prior_entropy: 0.9312, recall: 0.7599, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -43.2186, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0234, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 3.718, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5307, kappa: 0.0138, kb_relative_information_score: -100.4064, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5537, predictive_accuracy: 0.5198, prior_entropy: 0.9312, recall: 0.5198, relative_absolute_error: 1.06, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.4561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.6875, kappa: 0.3044, kb_relative_information_score: 127.5354, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7681, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.5411, kappa: 0.0072, kb_relative_information_score: -68.2032, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.5504, predictive_accuracy: 0.5344, prior_entropy: 0.9312, recall: 0.5344, relative_absolute_error: 1.0277, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6823, root_relative_squared_error: 1.4338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.7007, kappa: 0.3229, kb_relative_information_score: 117.8994, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7093, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7559, kappa: 0.4481, kb_relative_information_score: 358.5571, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7663, predictive_accuracy: 0.7693, prior_entropy: 0.9312, recall: 0.7693, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kb_relative_information_score: 5.0736, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 12.5365, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, kb_relative_information_score: -44.3094, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 7.3069, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.6446, kappa: 0.1962, kb_relative_information_score: 106.3555, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6502, predictive_accuracy: 0.6733, prior_entropy: 0.9312, recall: 0.6733, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 45.0191, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8372, kappa: 0.633, kb_relative_information_score: 408.2915, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8458, predictive_accuracy: 0.8434, prior_entropy: 0.9312, recall: 0.8434, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.7099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -20.2331, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0107, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7323, kappa: 0.3956, kb_relative_information_score: 242.3266, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7362, predictive_accuracy: 0.7443, prior_entropy: 0.9312, recall: 0.7443, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7321, kappa: 0.3939, kb_relative_information_score: 184.1679, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7469, predictive_accuracy: 0.7505, prior_entropy: 0.9312, recall: 0.7505, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.6352, kappa: 0.1929, kb_relative_information_score: 148.5511, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7029, predictive_accuracy: 0.6962, prior_entropy: 0.9312, recall: 0.6962, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.936,

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