OpenML
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: 0.8066, f_measure: 0.7607, kappa: 0.5089, kb_relative_information_score: 272.5837, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7605, predictive_accuracy: 0.7611, prior_entropy: 0.9826, recall: 0.7611, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7779, kappa: 0.5427, kb_relative_information_score: 134.3884, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7786, predictive_accuracy: 0.7796, prior_entropy: 0.9826, recall: 0.7796, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0922, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7874, kappa: 0.5653, kb_relative_information_score: 177.4802, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7881, predictive_accuracy: 0.787, prior_entropy: 0.9826, recall: 0.787, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0922, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8119, kappa: 0.6122, kb_relative_information_score: 66.7064, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8167, predictive_accuracy: 0.8148, prior_entropy: 0.9826, recall: 0.8148, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.724, kappa: 0.432, kb_relative_information_score: -5.2916, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7372, predictive_accuracy: 0.7333, prior_entropy: 0.9826, recall: 0.7333, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8355, kappa: 0.6608, kb_relative_information_score: 36.95, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8447, predictive_accuracy: 0.8389, prior_entropy: 0.9826, recall: 0.8389, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8232, kappa: 0.6355, kb_relative_information_score: 75.2446, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8283, predictive_accuracy: 0.8259, prior_entropy: 0.9826, recall: 0.8259, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0922, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.732, kappa: 0.4489, kb_relative_information_score: 250.8043, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7317, predictive_accuracy: 0.7333, prior_entropy: 0.9826, recall: 0.7333, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.79, kappa: 0.5672, kb_relative_information_score: 74.6943, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7926, predictive_accuracy: 0.7926, prior_entropy: 0.9826, recall: 0.7926, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8246, kappa: 0.639, kb_relative_information_score: 26.8621, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8257, predictive_accuracy: 0.8259, prior_entropy: 0.9826, recall: 0.8259, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, kb_relative_information_score: -0.0804, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.695, kappa: 0.371, kb_relative_information_score: 108.9592, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6971, predictive_accuracy: 0.7, prior_entropy: 0.9826, recall: 0.7, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.4388, kappa: 0.0165, kb_relative_information_score: 7.8636, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6736, predictive_accuracy: 0.5833, prior_entropy: 0.9826, recall: 0.5833, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.805, kappa: 0.5981, kb_relative_information_score: 36.6791, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8079, predictive_accuracy: 0.8074, prior_entropy: 0.9826, recall: 0.8074, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7898, kappa: 0.5667, kb_relative_information_score: 17.1844, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7929, predictive_accuracy: 0.7926, prior_entropy: 0.9826, recall: 0.7926, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8204, kappa: 0.6296, kb_relative_information_score: 103.436, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.829, predictive_accuracy: 0.8241, prior_entropy: 0.9826, recall: 0.8241, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7722, kappa: 0.5555, kb_relative_information_score: 174.7553, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8113, predictive_accuracy: 0.7722, prior_entropy: 0.9826, recall: 0.7722, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0922, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7657, kappa: 0.5183, kb_relative_information_score: 124.5914, mean_absolute_error: 0.395, 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: 0.8096, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8236, kappa: 0.6363, kb_relative_information_score: 307.6582, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8274, predictive_accuracy: 0.8259, prior_entropy: 0.9826, recall: 0.8259, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0922, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4214, kappa: -0.0074, kb_relative_information_score: -1.9176, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.3329, predictive_accuracy: 0.5741, prior_entropy: 0.9826, recall: 0.5741, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8323, kappa: 0.6542, kb_relative_information_score: 80.6453, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8388, predictive_accuracy: 0.8352, prior_entropy: 0.9826, recall: 0.8352, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7544, kappa: 0.4948, kb_relative_information_score: 259.8424, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7542, predictive_accuracy: 0.7556, prior_entropy: 0.9826, recall: 0.7556, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7711, kappa: 0.528, kb_relative_information_score: 255.4921, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7737, predictive_accuracy: 0.7741, prior_entropy: 0.9826, recall: 0.7741, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, kb_relative_information_score: 0.3702, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7788, kappa: 0.544, kb_relative_information_score: 45.9231, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7812, predictive_accuracy: 0.7815, prior_entropy: 0.9826, recall: 0.7815, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0922, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.464, f_measure: 0.4206, kappa: -0.0111, kb_relative_information_score: -2.8348, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.3325, predictive_accuracy: 0.5722, prior_entropy: 0.9826, recall: 0.5722, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8384, kappa: 0.6669, kb_relative_information_score: 62.1315, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8432, predictive_accuracy: 0.8407, prior_entropy: 0.9826, recall: 0.8407, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.8009, kappa: 0.5894, kb_relative_information_score: 209.6981, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8048, predictive_accuracy: 0.8037, prior_entropy: 0.9826, recall: 0.8037, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.7655, kappa: 0.5178, kb_relative_information_score: 122.5769, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7654, predictive_accuracy: 0.7667, prior_entropy: 0.9826, recall: 0.7667, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8479, kappa: 0.6865, kb_relative_information_score: 78.3558, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8526, predictive_accuracy: 0.85, prior_entropy: 0.9826, recall: 0.85, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7078, kappa: 0.4003, kb_relative_information_score: 17.765, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7264, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7464, kappa: 0.4776, kb_relative_information_score: 131.3481, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7574, predictive_accuracy: 0.7537, prior_entropy: 0.9826, recall: 0.7537, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0922, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8325, kappa: 0.6547, kb_relative_information_score: 310.3114, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8382, predictive_accuracy: 0.8352, prior_entropy: 0.9826, recall: 0.8352, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8442, kappa: 0.6787, kb_relative_information_score: 241.2292, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8487, predictive_accuracy: 0.8463, prior_entropy: 0.9826, recall: 0.8463, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7086,
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: 0.8202, f_measure: 0.7655, kappa: 0.5178, kb_relative_information_score: 240.0139, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7654, predictive_accuracy: 0.7667, prior_entropy: 0.9826, recall: 0.7667, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.8068, kappa: 0.6018, kb_relative_information_score: 82.2535, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.81, predictive_accuracy: 0.8093, prior_entropy: 0.9826, recall: 0.8093, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0922, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.701, kappa: 0.384, kb_relative_information_score: 25.3199, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7011, predictive_accuracy: 0.7037, prior_entropy: 0.9826, recall: 0.7037, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7557, kappa: 0.4971, kb_relative_information_score: 4.548, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.756, predictive_accuracy: 0.7574, prior_entropy: 0.9826, recall: 0.7574, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8281, kappa: 0.6458, kb_relative_information_score: 5.0857, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8299, predictive_accuracy: 0.8296, prior_entropy: 0.9826, recall: 0.8296, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.579, kappa: 0.2026, kb_relative_information_score: 2.232, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.742, predictive_accuracy: 0.6519, prior_entropy: 0.9826, recall: 0.6519, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.487, root_relative_squared_error: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7724, kappa: 0.5314, kb_relative_information_score: 277.6148, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7729, predictive_accuracy: 0.7741, prior_entropy: 0.9826, recall: 0.7741, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8199, kappa: 0.6287, kb_relative_information_score: 89.0682, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8305, predictive_accuracy: 0.8241, prior_entropy: 0.9826, recall: 0.8241, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.8012, kappa: 0.5986, kb_relative_information_score: 180.0634, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8095, predictive_accuracy: 0.8, prior_entropy: 0.9826, recall: 0.8, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.762, kappa: 0.5107, kb_relative_information_score: 266.1699, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7618, predictive_accuracy: 0.763, prior_entropy: 0.9826, recall: 0.763, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7773, kappa: 0.541, kb_relative_information_score: 129.0618, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.779, predictive_accuracy: 0.7796, prior_entropy: 0.9826, recall: 0.7796, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7285, kappa: 0.4404, kb_relative_information_score: -6.0917, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7359, predictive_accuracy: 0.7352, prior_entropy: 0.9826, recall: 0.7352, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7493, kappa: 0.4898, kb_relative_information_score: -10.3552, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7524, predictive_accuracy: 0.7481, prior_entropy: 0.9826, recall: 0.7481, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8129, kappa: 0.6145, kb_relative_information_score: 64.4333, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.815, predictive_accuracy: 0.8148, prior_entropy: 0.9826, recall: 0.8148, relative_absolute_error: 0.9103, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.6005, kappa: 0.2304, kb_relative_information_score: -2.3649, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7289, predictive_accuracy: 0.6611, prior_entropy: 0.9826, recall: 0.6611, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7418, kappa: 0.4685, kb_relative_information_score: 42.9224, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7547, predictive_accuracy: 0.75, prior_entropy: 0.9826, recall: 0.75, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0922, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.772, kappa: 0.5303, kb_relative_information_score: 254.989, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7731, predictive_accuracy: 0.7741, prior_entropy: 0.9826, recall: 0.7741, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.823, kappa: 0.635, kb_relative_information_score: 255.767, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8288, predictive_accuracy: 0.8259, prior_entropy: 0.9826, recall: 0.8259, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.6489, kappa: 0.3077, kb_relative_information_score: 33.5905, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7436, predictive_accuracy: 0.6907, prior_entropy: 0.9826, recall: 0.6907, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8274, kappa: 0.6441, kb_relative_information_score: 17.8081, mean_absolute_error: 0.4759, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8312, predictive_accuracy: 0.8296, prior_entropy: 0.9826, recall: 0.8296, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7473, kappa: 0.4807, kb_relative_information_score: 257.962, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.747, predictive_accuracy: 0.7481, prior_entropy: 0.9826, recall: 0.7481, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8068, kappa: 0.6018, kb_relative_information_score: 42.3135, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.81, predictive_accuracy: 0.8093, prior_entropy: 0.9826, recall: 0.8093, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7599, kappa: 0.5054, kb_relative_information_score: -9.4909, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7712, predictive_accuracy: 0.7667, prior_entropy: 0.9826, recall: 0.7667, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7922, kappa: 0.5719, kb_relative_information_score: 37.0088, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7942, predictive_accuracy: 0.7944, prior_entropy: 0.9826, recall: 0.7944, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7726, kappa: 0.531, kb_relative_information_score: 289.928, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7761, predictive_accuracy: 0.7759, prior_entropy: 0.9826, recall: 0.7759, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8177, kappa: 0.6241, kb_relative_information_score: 16.6912, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8223, predictive_accuracy: 0.8204, prior_entropy: 0.9826, recall: 0.8204, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7664, kappa: 0.5206, kb_relative_information_score: 1.2784, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7662, predictive_accuracy: 0.7667, prior_entropy: 0.9826, recall: 0.7667, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8198, kappa: 0.6286, kb_relative_information_score: 106.1743, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8236, predictive_accuracy: 0.8222, prior_entropy: 0.9826, recall: 0.8222, relative_absolute_error: 0.8484, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0922, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7861, kappa: 0.5649, kb_relative_information_score: 151.7487, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7893, predictive_accuracy: 0.7852, prior_entropy: 0.9826, recall: 0.7852, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0922, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8497, kappa: 0.6901, kb_relative_information_score: 69.932, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8548, predictive_accuracy: 0.8519, prior_entropy: 0.9826, recall: 0.8519, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8038, kappa: 0.596, kb_relative_information_score: 125.2244, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8052, predictive_accuracy: 0.8056, prior_entropy: 0.9826, recall: 0.8056, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8155, kappa: 0.6195, kb_relative_information_score: 231.2813, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8211, predictive_accuracy: 0.8185, prior_entropy: 0.9826, recall: 0.8185, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7533, kappa: 0.4918, kb_relative_information_score: 121.9439, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7541, predictive_accuracy: 0.7556, prior_entropy: 0.9826, recall: 0.7556, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7476, kappa: 0.4799, kb_relative_information_score: -8.4031, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7484, predictive_accuracy: 0.75, prior_entropy: 0.9826, recall: 0.75, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7483, kappa: 0.481, kb_relative_information_score: 264.8778, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7509, predictive_accuracy: 0.7519, prior_entropy: 0.9826, recall: 0.7519, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7768, kappa: 0.5399, kb_relative_information_score: 289.8186, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7794, predictive_accuracy: 0.7796, prior_entropy: 0.9826, recall: 0.7796, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7677, kappa: 0.5225, kb_relative_information_score: 275.5468, mean_absolute_error: 0.237, 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: 0.4856, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.566, kappa: 0.138, kb_relative_information_score: 80.0358, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6097, predictive_accuracy: 0.613, prior_entropy: 0.9826, recall: 0.613, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.562, f_measure: 0.4223, kappa: -0.0037, kb_relative_information_score: 0.2233, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.3334, predictive_accuracy: 0.5759, prior_entropy: 0.9826, recall: 0.5759, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7549, kappa: 0.4966, kb_relative_information_score: 126.709, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7546, predictive_accuracy: 0.7556, prior_entropy: 0.9826, recall: 0.7556, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.8118, kappa: 0.616, kb_relative_information_score: 188.7548, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8135, predictive_accuracy: 0.8111, prior_entropy: 0.9826, recall: 0.8111, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.7392, kappa: 0.4622, kb_relative_information_score: 56.9004, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7445, predictive_accuracy: 0.7444, prior_entropy: 0.9826, recall: 0.7444, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.7999, kappa: 0.5878, kb_relative_information_score: 67.2396, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8016, predictive_accuracy: 0.8019, prior_entropy: 0.9826, recall: 0.8019, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.5901, kappa: 0.2153, kb_relative_information_score: 0.8111, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7284, predictive_accuracy: 0.6556, prior_entropy: 0.9826, recall: 0.6556, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7749, kappa: 0.5372, kb_relative_information_score: 282.8186, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7748, predictive_accuracy: 0.7759, prior_entropy: 0.9826, recall: 0.7759, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8066, kappa: 0.6013, kb_relative_information_score: 131.131, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8103, predictive_accuracy: 0.8093, prior_entropy: 0.9826, recall: 0.8093, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.842, kappa: 0.6743, kb_relative_information_score: 72.4005, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8476, predictive_accuracy: 0.8444, prior_entropy: 0.9826, recall: 0.8444, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.444, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.761, kappa: 0.5078, kb_relative_information_score: -8.4992, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.775, predictive_accuracy: 0.7685, prior_entropy: 0.9826, recall: 0.7685, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.0922, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8143, kappa: 0.6172, kb_relative_information_score: 298.0757, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8176, predictive_accuracy: 0.8167, prior_entropy: 0.9826, recall: 0.8167, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8017, kappa: 0.5914, kb_relative_information_score: 281.815, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8036, predictive_accuracy: 0.8037, prior_entropy: 0.9826, recall: 0.8037, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8228, kappa: 0.6346, kb_relative_information_score: -9.7252, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8294, predictive_accuracy: 0.8259, prior_entropy: 0.9826, recall: 0.8259, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7911, kappa: 0.5698, kb_relative_information_score: -4.2643, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7918, predictive_accuracy: 0.7926, prior_entropy: 0.9826, recall: 0.7926, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7674, kappa: 0.5251, kb_relative_information_score: -15.124, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7688, predictive_accuracy: 0.7667, prior_entropy: 0.9826, recall: 0.7667, relative_absolute_error: 1.0174, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.0051,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs