OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13041 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.8441, kappa: 0.8441, kb_relative_information_score: 0.3972, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8493, predictive_accuracy: 0.8456, prior_entropy: 6.6439, recall: 0.8456, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8176, kappa: 0.8138, kb_relative_information_score: 979.0025, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8275, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3677, kappa: -0.0101, kb_relative_information_score: 25.5462, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, kappa: 0.5732, kb_relative_information_score: 510.7053, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5775, prior_entropy: 6.6439, recall: 0.5775, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.5903, kappa: 0.5795, kb_relative_information_score: 1118.2477, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6519, predictive_accuracy: 0.5838, prior_entropy: 6.6439, recall: 0.5838, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8218, kappa: 0.8194, kb_relative_information_score: 1406.9492, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8285, predictive_accuracy: 0.8213, prior_entropy: 6.6439, recall: 0.8213, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.051, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, kappa: 0.2298, kb_relative_information_score: 0.0743, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2375, prior_entropy: 6.6439, recall: 0.2375, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.7719, kappa: 0.7652, kb_relative_information_score: 0.2262, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7866, predictive_accuracy: 0.7675, prior_entropy: 6.6439, recall: 0.7675, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4684, kappa: 0.0025, kb_relative_information_score: 64.3974, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.7406, kappa: 0.7254, kb_relative_information_score: 1174.1014, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7766, predictive_accuracy: 0.7281, prior_entropy: 6.6439, recall: 0.7281, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.6984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, kappa: 0.0297, kb_relative_information_score: 0.0292, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0394, prior_entropy: 6.6439, recall: 0.0394, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.8005, kappa: 0.8005, kb_relative_information_score: 1355.2214, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8056, predictive_accuracy: 0.8025, prior_entropy: 6.6439, recall: 0.8025, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.5703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.7279, kappa: 0.7235, kb_relative_information_score: 0.1593, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7426, predictive_accuracy: 0.7263, prior_entropy: 6.6439, recall: 0.7263, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.6341, kappa: 0.6269, kb_relative_information_score: 1141.7343, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6861, predictive_accuracy: 0.6306, prior_entropy: 6.6439, recall: 0.6306, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.7365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5347, kappa: 0.017, kb_relative_information_score: 28.4878, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0269, prior_entropy: 6.6439, recall: 0.0269, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7329, kappa: 0.7216, kb_relative_information_score: 1259.4819, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7726, predictive_accuracy: 0.7244, prior_entropy: 6.6439, recall: 0.7244, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.064, root_relative_squared_error: 0.6435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.5424, kappa: 0.5208, kb_relative_information_score: 664.0573, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6276, predictive_accuracy: 0.5256, prior_entropy: 6.6439, recall: 0.5256, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.9416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, kappa: 0.2229, kb_relative_information_score: 0.0282, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2306, prior_entropy: 6.6439, recall: 0.2306, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.6392, kappa: 0.6458, kb_relative_information_score: 0.4117, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6488, predictive_accuracy: 0.6494, prior_entropy: 6.6439, recall: 0.6494, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7741, kappa: 0.7759, kb_relative_information_score: 0.7347, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.779, predictive_accuracy: 0.7781, prior_entropy: 6.6439, recall: 0.7781, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.8172, kappa: 0.8163, kb_relative_information_score: 0.3999, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8258, predictive_accuracy: 0.8181, prior_entropy: 6.6439, recall: 0.8181, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7756, kappa: 0.767, kb_relative_information_score: 1296.4016, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7957, predictive_accuracy: 0.7694, prior_entropy: 6.6439, recall: 0.7694, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.6114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.529, kappa: 0.4962, kb_relative_information_score: 766.1741, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.615, predictive_accuracy: 0.5013, prior_entropy: 6.6439, recall: 0.5013, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.8879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8404, kappa: 0.8396, kb_relative_information_score: 0.4286, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8463, predictive_accuracy: 0.8413, prior_entropy: 6.6439, recall: 0.8413, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8392, kappa: 0.8396, kb_relative_information_score: 0.9818, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8435, predictive_accuracy: 0.8413, prior_entropy: 6.6439, recall: 0.8413, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, kappa: 0.5284, kb_relative_information_score: 901.5092, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5331, prior_entropy: 6.6439, recall: 0.5331, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.8766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4806, kappa: -0.0032, kb_relative_information_score: 22.9786, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0069, prior_entropy: 6.6439, recall: 0.0069, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.8214, kappa: 0.8188, kb_relative_information_score: 0.2999, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8313, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7764, kappa: 0.7734, kb_relative_information_score: 955.3467, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7846, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.8478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.6934, kappa: 0.6742, kb_relative_information_score: 1201.8241, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7464, predictive_accuracy: 0.6775, prior_entropy: 6.6439, recall: 0.6775, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, kappa: 0.5568, kb_relative_information_score: 0.1442, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5613, prior_entropy: 6.6439, recall: 0.5613, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.5108, kappa: 0.483, kb_relative_information_score: 924.9203, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.582, predictive_accuracy: 0.4881, prior_entropy: 6.6439, recall: 0.4881, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.084, root_relative_squared_error: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4237, kappa: -0.0032, kb_relative_information_score: 31.8473, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0069, prior_entropy: 6.6439, recall: 0.0069, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, kappa: 0.2557, kb_relative_information_score: 311.0046, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2631, prior_entropy: 6.6439, recall: 0.2631, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.565, kappa: 0.577, kb_relative_information_score: 0.2627, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5754, predictive_accuracy: 0.5813, prior_entropy: 6.6439, recall: 0.5813, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4523, kappa: 0.0025, kb_relative_information_score: 11.7962, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8151, kappa: 0.8106, kb_relative_information_score: 0.3128, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8252, predictive_accuracy: 0.8125, prior_entropy: 6.6439, recall: 0.8125, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8273, kappa: 0.827, kb_relative_information_score: 0.5896, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.834, predictive_accuracy: 0.8288, prior_entropy: 6.6439, recall: 0.8288, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, kappa: 0.0997, kb_relative_information_score: 0.0283, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1088, prior_entropy: 6.6439, recall: 0.1088, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3813, kappa: 0.0025, kb_relative_information_score: 7.4312, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3415, kappa: -0.0082, kb_relative_information_score: 70.4183, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0019, prior_entropy: 6.6439, recall: 0.0019, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, kappa: 0.435, kb_relative_information_score: 0.1495, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4406, prior_entropy: 6.6439, recall: 0.4406, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.5277, kappa: 0.5019, kb_relative_information_score: 907.3202, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.642, predictive_accuracy: 0.5069, prior_entropy: 6.6439, recall: 0.5069, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7852, kappa: 0.7841, kb_relative_information_score: 1350.86, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7905, predictive_accuracy: 0.7863, prior_entropy: 6.6439, recall: 0.7863, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.3124, kappa: 0.2854, kb_relative_information_score: 578.9214, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4072, predictive_accuracy: 0.2925, prior_entropy: 6.6439, recall: 0.2925, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, kappa: 0.0025, kb_relative_information_score: 23.4064, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.5601, kappa: 0.5385, kb_relative_information_score: 656.851, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6515, predictive_accuracy: 0.5431, prior_entropy: 6.6439, recall: 0.5431, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.9429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8463, kappa: 0.8466, kb_relative_information_score: 1.0165, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8505, predictive_accuracy: 0.8481, prior_entropy: 6.6439, recall: 0.8481, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.831, kappa: 0.8314, kb_relative_information_score: 1409.1134, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8363, predictive_accuracy: 0.8331, prior_entropy: 6.6439, recall: 0.8331, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, kappa: 0.1237, kb_relative_information_score: 0.0281, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1325, prior_entropy: 6.6439, recall: 0.1325, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.5651, kappa: 0.529, kb_relative_information_score: 948.5161, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6657, predictive_accuracy: 0.5338, prior_entropy: 6.6439, recall: 0.5338, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8033, kappa: 0.8024, kb_relative_information_score: 1376.6143, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8067, predictive_accuracy: 0.8044, prior_entropy: 6.6439, recall: 0.8044, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.5472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.6754, kappa: 0.6654, kb_relative_information_score: 1136.048, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7422, predictive_accuracy: 0.6688, prior_entropy: 6.6439, recall: 0.6688, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.5108, kappa: 0.4836, kb_relative_information_score: 802.8057, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6436, predictive_accuracy: 0.4888, prior_entropy: 6.6439, recall: 0.4888, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, kappa: 0.4457, kb_relative_information_score: 0.0613, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4513, prior_entropy: 6.6439, recall: 0.4513, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.818, kappa: 0.8163, kb_relative_information_score: 0.4139, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8239, predictive_accuracy: 0.8181, prior_entropy: 6.6439, recall: 0.8181, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, kappa: 0.5859, kb_relative_information_score: 0.4105, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.59, prior_entropy: 6.6439, recall: 0.59, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.8133, kappa: 0.8125, kb_relative_information_score: 1372.9838, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.818, predictive_accuracy: 0.8144, prior_entropy: 6.6439, recall: 0.8144, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.5494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7872, kappa: 0.7841, kb_relative_information_score: 1371.0073, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7943, predictive_accuracy: 0.7863, prior_entropy: 6.6439, recall: 0.7863, relative_absolute_error: 0.2742, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.6857, kappa: 0.6723, kb_relative_information_score: 1205.4709, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7375, predictive_accuracy: 0.6756, prior_entropy: 6.6439, recall: 0.6756, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.6896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.8166, kappa: 0.8125, kb_relative_information_score: 0.2957, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8296, predictive_accuracy: 0.8144, prior_entropy: 6.6439, recall: 0.8144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.7626, kappa: 0.7633, kb_relative_information_score: 0.5589, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7691, predictive_accuracy: 0.7656, prior_entropy: 6.6439, recall: 0.7656, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.731, kappa: 0.7323, kb_relative_information_score: 0.3922, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7404, predictive_accuracy: 0.735, prior_entropy: 6.6439, recall: 0.735, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7579, kappa: 0.7475, kb_relative_information_score: 1283.4964, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7933, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8104, kappa: 0.8043, kb_relative_information_score: 1378.1935, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8288, predictive_accuracy: 0.8063, prior_entropy: 6.6439, recall: 0.8063, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.053, root_relative_squared_error: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8223, kappa: 0.8176, kb_relative_information_score: 980.8404, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8311, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.7274, kappa: 0.7235, kb_relative_information_score: 1309.9202, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7393, predictive_accuracy: 0.7263, prior_entropy: 6.6439, recall: 0.7263, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.6154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4782, kappa: -0.0025, kb_relative_information_score: 46.299, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.7595, kappa: 0.762, kb_relative_information_score: 0.3186, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7692, predictive_accuracy: 0.7644, prior_entropy: 6.6439, recall: 0.7644, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.7593, kappa: 0.7607, kb_relative_information_score: 0.3584, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7716, predictive_accuracy: 0.7631, prior_entropy: 6.6439, recall: 0.7631, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.4371, kappa: 0.4066, kb_relative_information_score: 564.7838, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5123, predictive_accuracy: 0.4125, prior_entropy: 6.6439, recall: 0.4125, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.6502, kappa: 0.6313, kb_relative_information_score: 1177.8983, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7017, predictive_accuracy: 0.635, prior_entropy: 6.6439, recall: 0.635, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.7069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, kappa: 0.2973, kb_relative_information_score: 0.0742, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3044, prior_entropy: 6.6439, recall: 0.3044, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, kappa: 0.5549, kb_relative_information_score: 0.1037, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5594, prior_entropy: 6.6439, recall: 0.5594, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, kappa: 0.4886, kb_relative_information_score: 991.9659, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4938, prior_entropy: 6.6439, recall: 0.4938, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8282, kappa: 0.8251, kb_relative_information_score: 981.14, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8362, predictive_accuracy: 0.8269, prior_entropy: 6.6439, recall: 0.8269, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, kappa: 0.0095, kb_relative_information_score: 12.6504, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0194, prior_entropy: 6.6439, recall: 0.0194, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, kappa: -0.0044, kb_relative_information_score: 32.9589, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.8441, kappa: 0.8422, kb_relative_information_score: 0.3901, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8507, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.587, kappa: 0.5612, kb_relative_information_score: 991.0504, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.649, predictive_accuracy: 0.5656, prior_entropy: 6.6439, recall: 0.5656, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8352, kappa: 0.8359, kb_relative_information_score: 0.568, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8403, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.6333, kappa: 0.6067, kb_relative_information_score: 1067.3879, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7185, predictive_accuracy: 0.6106, prior_entropy: 6.6439, recall: 0.6106, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.7695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.7143, kappa: 0.709, kb_relative_information_score: 1255.9709, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7268, predictive_accuracy: 0.7119, prior_entropy: 6.6439, recall: 0.7119, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.7139, kappa: 0.7178, kb_relative_information_score: 0.3977, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7195, predictive_accuracy: 0.7206, prior_entropy: 6.6439, recall: 0.7206, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.806, kappa: 0.8062, kb_relative_information_score: 0.6821, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8118, predictive_accuracy: 0.8081, prior_entropy: 6.6439, recall: 0.8081, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.4653, kappa: 0.4804, kb_relative_information_score: 0.0536, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5224, predictive_accuracy: 0.4856, prior_entropy: 6.6439, recall: 0.4856, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8433, kappa: 0.8428, kb_relative_information_score: 0.6762, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8481, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.7504, kappa: 0.738, kb_relative_information_score: 1277.5457, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7915, predictive_accuracy: 0.7406, prior_entropy: 6.6439, recall: 0.7406, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.6235, kappa: 0.5915, kb_relative_information_score: 1045.6973, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7073, predictive_accuracy: 0.5956, prior_entropy: 6.6439, recall: 0.5956, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4637, kappa: 0.0025, kb_relative_information_score: 35.5067, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, kappa: 0.2468, kb_relative_information_score: 0.0745, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2544, prior_entropy: 6.6439, recall: 0.2544, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8178, kappa: 0.8144, kb_relative_information_score: 981.1285, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8273, predictive_accuracy: 0.8163, prior_entropy: 6.6439, recall: 0.8163, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, kappa: 0.4495, kb_relative_information_score: 715.3472, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.455, prior_entropy: 6.6439, recall: 0.455, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, kappa: 0.4811, kb_relative_information_score: 981.5155, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4863, prior_entropy: 6.6439, recall: 0.4863, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.5842, kappa: 0.5934, kb_relative_information_score: 0.2605, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5905, predictive_accuracy: 0.5975, prior_entropy: 6.6439, recall: 0.5975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7989, kappa: 0.7992, kb_relative_information_score: 0.5798, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8045, predictive_accuracy: 0.8013, prior_entropy: 6.6439, recall: 0.8013, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.6717, kappa: 0.6534, kb_relative_information_score: 1181.1779, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.733, predictive_accuracy: 0.6569, prior_entropy: 6.6439, recall: 0.6569, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.7062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.6917, kappa: 0.6957, kb_relative_information_score: 0.4062, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7005, predictive_accuracy: 0.6988, prior_entropy: 6.6439, recall: 0.6988, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.6405, kappa: 0.6187, kb_relative_information_score: 900.1043, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7129, predictive_accuracy: 0.6225, prior_entropy: 6.6439, recall: 0.6225, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.8526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7781, kappa: 0.7677, kb_relative_information_score: 1313.0539, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8069, predictive_accuracy: 0.77, prior_entropy: 6.6439, recall: 0.77, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.5912,

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