Task
Supervised Classification on cylinder-bands

Supervised Classification on cylinder-bands

Task 14968 Supervised Classification cylinder-bands 12489 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.7447, kappa: 0.4736, kb_relative_information_score: 260.3297, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7505, predictive_accuracy: 0.75, prior_entropy: 0.9826, recall: 0.75, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.8305, kappa: 0.6506, kb_relative_information_score: 353.5294, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8366, predictive_accuracy: 0.8333, prior_entropy: 0.9826, recall: 0.8333, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.8005, kappa: 0.5893, kb_relative_information_score: 318.3207, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8011, predictive_accuracy: 0.8019, prior_entropy: 0.9826, recall: 0.8019, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7616, kappa: 0.5095, kb_relative_information_score: 274.8275, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7616, predictive_accuracy: 0.763, prior_entropy: 0.9826, recall: 0.763, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7543, kappa: 0.4956, kb_relative_information_score: 276.8986, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7775, predictive_accuracy: 0.7648, prior_entropy: 0.9826, recall: 0.7648, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.8084, kappa: 0.606, kb_relative_information_score: 326.6051, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8085, predictive_accuracy: 0.8093, prior_entropy: 0.9826, recall: 0.8093, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4496, f_measure: 0.463, kappa: -0.1007, kb_relative_information_score: -60.6915, mean_absolute_error: 0.537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.463, predictive_accuracy: 0.463, prior_entropy: 0.9826, recall: 0.463, relative_absolute_error: 1.1006, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7328, root_relative_squared_error: 1.4837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, f_measure: 0.4518, kappa: 0.0353, kb_relative_information_score: 82.2147, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7604, predictive_accuracy: 0.5907, prior_entropy: 0.9826, recall: 0.5907, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.4707, kappa: -0.0842, kb_relative_information_score: -52.4071, mean_absolute_error: 0.5296, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.471, predictive_accuracy: 0.4704, prior_entropy: 0.9826, recall: 0.4704, relative_absolute_error: 1.0854, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7278, root_relative_squared_error: 1.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6894, kappa: 0.3646, kb_relative_information_score: 191.9833, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6901, predictive_accuracy: 0.6889, prior_entropy: 0.9826, recall: 0.6889, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5578, root_relative_squared_error: 1.1293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.8362, kappa: 0.6632, kb_relative_information_score: 357.6717, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8366, predictive_accuracy: 0.837, prior_entropy: 0.9826, recall: 0.837, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.4478, kappa: 0.0303, kb_relative_information_score: 80.1436, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7598, predictive_accuracy: 0.5889, prior_entropy: 0.9826, recall: 0.5889, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6412, root_relative_squared_error: 1.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4658, f_measure: 0.4792, kappa: -0.0684, kb_relative_information_score: -42.0516, mean_absolute_error: 0.5204, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.4787, predictive_accuracy: 0.4796, prior_entropy: 0.9826, recall: 0.4796, relative_absolute_error: 1.0665, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7214, root_relative_squared_error: 1.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.468, f_measure: 0.4812, kappa: -0.064, kb_relative_information_score: -39.9805, mean_absolute_error: 0.5185, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.4809, predictive_accuracy: 0.4815, prior_entropy: 0.9826, recall: 0.4815, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7201, root_relative_squared_error: 1.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7929, kappa: 0.5764, kb_relative_information_score: 307.9651, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7935, predictive_accuracy: 0.7926, prior_entropy: 0.9826, recall: 0.7926, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.8398, kappa: 0.6705, kb_relative_information_score: 361.8139, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8405, predictive_accuracy: 0.8407, prior_entropy: 0.9826, recall: 0.8407, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.6165, kappa: 0.2687, kb_relative_information_score: 181.6277, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7939, predictive_accuracy: 0.6796, prior_entropy: 0.9826, recall: 0.6796, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.566, root_relative_squared_error: 1.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6699, kappa: 0.3491, kb_relative_information_score: 214.7654, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7748, predictive_accuracy: 0.7093, prior_entropy: 0.9826, recall: 0.7093, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.0917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.8014, kappa: 0.5922, kb_relative_information_score: 318.3207, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8012, predictive_accuracy: 0.8019, prior_entropy: 0.9826, recall: 0.8019, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.766, kappa: 0.5179, kb_relative_information_score: 281.0408, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7675, predictive_accuracy: 0.7685, prior_entropy: 0.9826, recall: 0.7685, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5125, kb_relative_information_score: -4.7717, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5121, predictive_accuracy: 0.513, prior_entropy: 0.9826, recall: 0.513, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6979, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.8033, kappa: 0.5962, kb_relative_information_score: 320.3918, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8032, predictive_accuracy: 0.8037, prior_entropy: 0.9826, recall: 0.8037, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7625, kappa: 0.5107, kb_relative_information_score: 276.8986, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7636, predictive_accuracy: 0.7648, prior_entropy: 0.9826, recall: 0.7648, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.7479, kappa: 0.4817, kb_relative_information_score: 268.6141, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.766, predictive_accuracy: 0.7574, prior_entropy: 0.9826, recall: 0.7574, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.7202, kappa: 0.4239, kb_relative_information_score: 229.2631, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7201, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.7808, kappa: 0.5482, kb_relative_information_score: 297.6096, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.783, predictive_accuracy: 0.7833, prior_entropy: 0.9826, recall: 0.7833, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7032, kappa: 0.4036, kb_relative_information_score: 237.5476, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7713, predictive_accuracy: 0.7296, prior_entropy: 0.9826, recall: 0.7296, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7643, kappa: 0.5143, kb_relative_information_score: 278.9697, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7656, predictive_accuracy: 0.7667, prior_entropy: 0.9826, recall: 0.7667, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.483, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8292, kappa: 0.6492, kb_relative_information_score: 349.3872, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8291, predictive_accuracy: 0.8296, prior_entropy: 0.9826, recall: 0.8296, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.6383, kappa: 0.3024, kb_relative_information_score: 196.1255, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7931, predictive_accuracy: 0.6926, prior_entropy: 0.9826, recall: 0.6926, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5544, root_relative_squared_error: 1.1226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7549, kappa: 0.4946, kb_relative_information_score: 270.6852, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7594, predictive_accuracy: 0.7593, prior_entropy: 0.9826, recall: 0.7593, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8309, kappa: 0.6523, kb_relative_information_score: 351.4583, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8309, predictive_accuracy: 0.8315, prior_entropy: 0.9826, recall: 0.8315, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8488, kappa: 0.6887, kb_relative_information_score: 372.1694, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8503, predictive_accuracy: 0.85, prior_entropy: 0.9826, recall: 0.85, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8466, kappa: 0.6839, kb_relative_information_score: 370.0983, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8492, predictive_accuracy: 0.8481, prior_entropy: 0.9826, recall: 0.8481, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.8331, kappa: 0.6576, kb_relative_information_score: 353.5294, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.833, predictive_accuracy: 0.8333, prior_entropy: 0.9826, recall: 0.8333, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.7146, kappa: 0.4274, kb_relative_information_score: 249.9742, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7898, predictive_accuracy: 0.7407, prior_entropy: 0.9826, recall: 0.7407, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.8102, kappa: 0.6096, kb_relative_information_score: 328.6762, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8104, predictive_accuracy: 0.8111, prior_entropy: 0.9826, recall: 0.8111, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, f_measure: 0.4613, kappa: -0.1039, kb_relative_information_score: -62.7627, mean_absolute_error: 0.5389, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.4614, predictive_accuracy: 0.4611, prior_entropy: 0.9826, recall: 0.4611, relative_absolute_error: 1.1044, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7341, root_relative_squared_error: 1.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8309, kappa: 0.6523, kb_relative_information_score: 351.4583, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8309, predictive_accuracy: 0.8315, prior_entropy: 0.9826, recall: 0.8315, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.4397, kappa: 0.0202, kb_relative_information_score: 76.0014, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7585, predictive_accuracy: 0.5852, prior_entropy: 0.9826, recall: 0.5852, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6441, root_relative_squared_error: 1.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.7657, kappa: 0.5183, kb_relative_information_score: 278.9697, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7655, predictive_accuracy: 0.7667, prior_entropy: 0.9826, recall: 0.7667, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.483, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.4478, kappa: 0.0303, kb_relative_information_score: 80.1436, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7598, predictive_accuracy: 0.5889, prior_entropy: 0.9826, recall: 0.5889, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6412, root_relative_squared_error: 1.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7996, kappa: 0.5886, kb_relative_information_score: 316.2496, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7994, predictive_accuracy: 0.8, prior_entropy: 0.9826, recall: 0.8, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.5623, kappa: 0.1063, kb_relative_information_score: 49.077, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.564, predictive_accuracy: 0.5611, prior_entropy: 0.9826, recall: 0.5611, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6625, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7447, kappa: 0.474, kb_relative_information_score: 262.4008, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7551, predictive_accuracy: 0.7519, prior_entropy: 0.9826, recall: 0.7519, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.7808, kappa: 0.5492, kb_relative_information_score: 303.8229, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8009, predictive_accuracy: 0.7889, prior_entropy: 0.9826, recall: 0.7889, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.7556, kappa: 0.4987, kb_relative_information_score: 278.9697, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7813, predictive_accuracy: 0.7667, prior_entropy: 0.9826, recall: 0.7667, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.483, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8175, kappa: 0.6245, kb_relative_information_score: 336.9606, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8179, predictive_accuracy: 0.8185, prior_entropy: 0.9826, recall: 0.8185, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.8139, kappa: 0.6173, kb_relative_information_score: 332.8184, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8141, predictive_accuracy: 0.8148, prior_entropy: 0.9826, recall: 0.8148, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7466, kappa: 0.4787, kb_relative_information_score: 266.543, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7627, predictive_accuracy: 0.7556, prior_entropy: 0.9826, recall: 0.7556, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.7426, kappa: 0.4763, kb_relative_information_score: 270.6852, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7874, predictive_accuracy: 0.7593, prior_entropy: 0.9826, recall: 0.7593, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.8045, kappa: 0.5979, kb_relative_information_score: 322.4629, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8048, predictive_accuracy: 0.8056, prior_entropy: 0.9826, recall: 0.8056, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4335, f_measure: 0.4468, kappa: -0.1329, kb_relative_information_score: -79.3315, mean_absolute_error: 0.5537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.4473, predictive_accuracy: 0.4463, prior_entropy: 0.9826, recall: 0.4463, relative_absolute_error: 1.1348, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7441, root_relative_squared_error: 1.5066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8178, kappa: 0.6254, kb_relative_information_score: 336.9606, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8179, predictive_accuracy: 0.8185, prior_entropy: 0.9826, recall: 0.8185, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.8346, kappa: 0.66, kb_relative_information_score: 355.6006, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8347, predictive_accuracy: 0.8352, prior_entropy: 0.9826, recall: 0.8352, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.406, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7403, kappa: 0.4645, kb_relative_information_score: 256.1875, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7474, predictive_accuracy: 0.7463, prior_entropy: 0.9826, recall: 0.7463, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.8328, kappa: 0.6564, kb_relative_information_score: 353.5294, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8328, predictive_accuracy: 0.8333, prior_entropy: 0.9826, recall: 0.8333, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7731, kappa: 0.5322, kb_relative_information_score: 289.3252, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7755, predictive_accuracy: 0.7759, prior_entropy: 0.9826, recall: 0.7759, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.8163, kappa: 0.6227, kb_relative_information_score: 334.8895, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8161, predictive_accuracy: 0.8167, prior_entropy: 0.9826, recall: 0.8167, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.6742, kappa: 0.3574, kb_relative_information_score: 218.9076, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.781, predictive_accuracy: 0.713, prior_entropy: 0.9826, recall: 0.713, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.7481, kappa: 0.4845, kb_relative_information_score: 272.7564, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7793, predictive_accuracy: 0.7611, prior_entropy: 0.9826, recall: 0.7611, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.8469, kappa: 0.6847, kb_relative_information_score: 370.0983, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8486, predictive_accuracy: 0.8481, prior_entropy: 0.9826, recall: 0.8481, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.8289, kappa: 0.6483, kb_relative_information_score: 349.3872, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8291, predictive_accuracy: 0.8296, prior_entropy: 0.9826, recall: 0.8296, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8382, kappa: 0.6672, kb_relative_information_score: 359.7428, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8384, predictive_accuracy: 0.8389, prior_entropy: 0.9826, recall: 0.8389, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4352, f_measure: 0.4476, kappa: -0.1289, kb_relative_information_score: -79.3315, mean_absolute_error: 0.5537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.4492, predictive_accuracy: 0.4463, prior_entropy: 0.9826, recall: 0.4463, relative_absolute_error: 1.1348, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7441, root_relative_squared_error: 1.5066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7624, kappa: 0.5102, kb_relative_information_score: 281.0408, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7723, predictive_accuracy: 0.7685, prior_entropy: 0.9826, recall: 0.7685, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8383, kappa: 0.6676, kb_relative_information_score: 359.7428, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8384, predictive_accuracy: 0.8389, prior_entropy: 0.9826, recall: 0.8389, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8246, kappa: 0.6383, kb_relative_information_score: 347.3161, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8316, predictive_accuracy: 0.8278, prior_entropy: 0.9826, recall: 0.8278, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5855, f_measure: 0.5668, kappa: 0.1925, kb_relative_information_score: 148.4901, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.782, predictive_accuracy: 0.65, prior_entropy: 0.9826, recall: 0.65, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.8446, kappa: 0.6799, kb_relative_information_score: 368.0272, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8474, predictive_accuracy: 0.8463, prior_entropy: 0.9826, recall: 0.8463, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.8105, kappa: 0.6106, kb_relative_information_score: 328.6762, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8104, predictive_accuracy: 0.8111, prior_entropy: 0.9826, recall: 0.8111, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,

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