Task
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 12985 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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12985 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7608, kappa: 0.7557, kb_relative_information_score: 1337.5734, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7712, predictive_accuracy: 0.7581, prior_entropy: 6.6439, recall: 0.7581, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8265, kappa: 0.8226, kb_relative_information_score: 982.53, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8348, predictive_accuracy: 0.8244, prior_entropy: 6.6439, recall: 0.8244, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.806, kappa: 0.8068, kb_relative_information_score: 0.6867, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8114, predictive_accuracy: 0.8088, prior_entropy: 6.6439, recall: 0.8088, 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: 0.9901, f_measure: 0.6815, kappa: 0.6761, kb_relative_information_score: 1240.8789, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6963, predictive_accuracy: 0.6794, prior_entropy: 6.6439, recall: 0.6794, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.067, root_relative_squared_error: 0.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.6455, kappa: 0.6528, kb_relative_information_score: 0.2506, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6592, predictive_accuracy: 0.6563, prior_entropy: 6.6439, recall: 0.6563, 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: 0.9835, f_measure: 0.6226, kappa: 0.6351, kb_relative_information_score: 0.1354, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6464, predictive_accuracy: 0.6388, prior_entropy: 6.6439, recall: 0.6388, 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: 0.8503, kappa: 0.089, kb_relative_information_score: 0.0286, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0981, prior_entropy: 6.6439, recall: 0.0981, 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: 0.9921, f_measure: 0.7891, kappa: 0.7854, kb_relative_information_score: 0.2834, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8002, predictive_accuracy: 0.7875, prior_entropy: 6.6439, recall: 0.7875, 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: 0.9932, f_measure: 0.693, kappa: 0.6736, kb_relative_information_score: 1189.3287, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7503, predictive_accuracy: 0.6769, prior_entropy: 6.6439, recall: 0.6769, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.6949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.6817, kappa: 0.6635, kb_relative_information_score: 1129.4075, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7304, predictive_accuracy: 0.6669, prior_entropy: 6.6439, recall: 0.6669, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.4331, kappa: 0.4501, kb_relative_information_score: 0.0721, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4956, predictive_accuracy: 0.4556, prior_entropy: 6.6439, recall: 0.4556, 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: 0.9926, f_measure: 0.6965, kappa: 0.6806, kb_relative_information_score: 1103.6871, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7381, predictive_accuracy: 0.6838, prior_entropy: 6.6439, recall: 0.6838, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7964, kappa: 0.7967, kb_relative_information_score: 0.4937, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8046, predictive_accuracy: 0.7988, prior_entropy: 6.6439, recall: 0.7988, 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: 0.9697, f_measure: 0.4752, kappa: 0.4886, kb_relative_information_score: 0.0707, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5337, predictive_accuracy: 0.4938, prior_entropy: 6.6439, recall: 0.4938, 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: 0.7603, kappa: 0.7513, kb_relative_information_score: 1325.9935, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.781, predictive_accuracy: 0.7538, prior_entropy: 6.6439, recall: 0.7538, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.829, kappa: 0.8295, kb_relative_information_score: 1.1156, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8336, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, 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: 0.344, kappa: -0.0101, kb_relative_information_score: 17.5757, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, 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: 0.9792, kappa: 0.4848, kb_relative_information_score: 984.2406, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.49, prior_entropy: 6.6439, recall: 0.49, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, kappa: 0.2178, kb_relative_information_score: 0.0743, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2256, prior_entropy: 6.6439, recall: 0.2256, 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: 0.9938, f_measure: 0.7829, kappa: 0.7835, kb_relative_information_score: 0.2887, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7949, predictive_accuracy: 0.7856, prior_entropy: 6.6439, recall: 0.7856, 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: 0.9943, f_measure: 0.8249, kappa: 0.8232, kb_relative_information_score: 0.323, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8305, predictive_accuracy: 0.825, prior_entropy: 6.6439, recall: 0.825, 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: 0.9769, kappa: 0.3226, kb_relative_information_score: 662.8419, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3294, prior_entropy: 6.6439, recall: 0.3294, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.569, kappa: 0.584, kb_relative_information_score: 0.1422, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6012, predictive_accuracy: 0.5881, prior_entropy: 6.6439, recall: 0.5881, 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: 0.9744, f_measure: 0.4688, kappa: 0.4419, kb_relative_information_score: 874.0003, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5528, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.7582, kappa: 0.7607, kb_relative_information_score: 0.3399, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7653, 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: 0.9921, f_measure: 0.6746, kappa: 0.661, kb_relative_information_score: 1196.6886, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7208, predictive_accuracy: 0.6644, prior_entropy: 6.6439, recall: 0.6644, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.6977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.328, kappa: -0.0101, kb_relative_information_score: 35.0736, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, kappa: 0.5253, kb_relative_information_score: 999.201, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.53, prior_entropy: 6.6439, recall: 0.53, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.8189, kappa: 0.8157, kb_relative_information_score: 0.2928, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8294, predictive_accuracy: 0.8175, prior_entropy: 6.6439, recall: 0.8175, 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: 0.7166, kappa: 0.053, kb_relative_information_score: 110.8468, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0625, prior_entropy: 6.6439, recall: 0.0625, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.099, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.4753, kappa: 0.4457, kb_relative_information_score: 697.5117, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5506, predictive_accuracy: 0.4513, prior_entropy: 6.6439, recall: 0.4513, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.792, kappa: 0.7917, kb_relative_information_score: 1345.8882, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7965, predictive_accuracy: 0.7938, prior_entropy: 6.6439, recall: 0.7938, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.5818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.329, kappa: -0.0101, kb_relative_information_score: 59.7938, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3476, kappa: -0.0101, kb_relative_information_score: 56.322, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8236, kappa: 0.8201, kb_relative_information_score: 978.1231, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8305, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.8369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.773, kappa: 0.7708, kb_relative_information_score: 1332.7535, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7781, predictive_accuracy: 0.7731, prior_entropy: 6.6439, recall: 0.7731, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.6003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.7293, kappa: 0.7317, kb_relative_information_score: 0.1242, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7499, predictive_accuracy: 0.7344, prior_entropy: 6.6439, recall: 0.7344, 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: 0.7501, kappa: 0.7468, kb_relative_information_score: 1319.7243, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7575, predictive_accuracy: 0.7494, prior_entropy: 6.6439, recall: 0.7494, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.061, root_relative_squared_error: 0.6128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8191, kappa: 0.8188, kb_relative_information_score: 0.8411, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8236, 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: 0.8222, kappa: 0.0657, kb_relative_information_score: 0.0288, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.075, prior_entropy: 6.6439, recall: 0.075, 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: 0.9922, f_measure: 0.7422, kappa: 0.7449, kb_relative_information_score: 0.5714, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7487, predictive_accuracy: 0.7475, prior_entropy: 6.6439, recall: 0.7475, 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: 0.9959, f_measure: 0.8134, kappa: 0.8131, kb_relative_information_score: 1377.2648, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8178, predictive_accuracy: 0.815, prior_entropy: 6.6439, recall: 0.815, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.7518, kappa: 0.7544, kb_relative_information_score: 0.3642, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7601, predictive_accuracy: 0.7569, prior_entropy: 6.6439, recall: 0.7569, 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: 0.8759, kappa: 0.1376, kb_relative_information_score: 430.2608, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1463, prior_entropy: 6.6439, recall: 0.1463, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, kappa: 0.2721, kb_relative_information_score: 488.7722, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2794, prior_entropy: 6.6439, recall: 0.2794, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.7329, kappa: 0.7412, kb_relative_information_score: 0.1693, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7443, predictive_accuracy: 0.7438, prior_entropy: 6.6439, recall: 0.7438, 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: 0.996, f_measure: 0.8222, kappa: 0.8226, kb_relative_information_score: 0.8545, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8258, predictive_accuracy: 0.8244, prior_entropy: 6.6439, recall: 0.8244, 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: 0.9934, f_measure: 0.7452, kappa: 0.7481, kb_relative_information_score: 0.7703, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7488, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, 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: 0.9461, kappa: 0.286, kb_relative_information_score: 475.1091, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2931, prior_entropy: 6.6439, recall: 0.2931, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8076, kappa: 0.803, kb_relative_information_score: 980.7422, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8157, predictive_accuracy: 0.805, prior_entropy: 6.6439, recall: 0.805, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, kappa: 0.1439, kb_relative_information_score: 298.8652, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1525, prior_entropy: 6.6439, recall: 0.1525, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8342, kappa: 0.8346, kb_relative_information_score: 1.1364, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8377, predictive_accuracy: 0.8363, prior_entropy: 6.6439, recall: 0.8363, 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: 0.9894, f_measure: 0.6391, kappa: 0.6282, kb_relative_information_score: 1127.1113, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7055, predictive_accuracy: 0.6319, prior_entropy: 6.6439, recall: 0.6319, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.6283, kappa: 0.6155, kb_relative_information_score: 1097.6695, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6972, predictive_accuracy: 0.6194, prior_entropy: 6.6439, recall: 0.6194, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.7716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8188, kappa: 0.8138, kb_relative_information_score: 985.0421, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8281, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3292, kappa: -0.0032, kb_relative_information_score: 15.7212, 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: 0.9998, 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: 0.9306, kappa: 0.221, kb_relative_information_score: 322.6667, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2288, prior_entropy: 6.6439, recall: 0.2288, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, kappa: 0.2247, kb_relative_information_score: 0.0743, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2325, prior_entropy: 6.6439, recall: 0.2325, 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: 0.9415, kappa: 0.2159, kb_relative_information_score: 313.8258, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2238, prior_entropy: 6.6439, recall: 0.2238, relative_absolute_error: 0.979, 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: 0.9965, f_measure: 0.8265, kappa: 0.8226, kb_relative_information_score: 983.1682, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8359, predictive_accuracy: 0.8244, prior_entropy: 6.6439, recall: 0.8244, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8296, kappa: 0.8302, kb_relative_information_score: 1.155, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.833, predictive_accuracy: 0.8319, prior_entropy: 6.6439, recall: 0.8319, 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: 0.9964, f_measure: 0.8178, kappa: 0.8188, kb_relative_information_score: 1.1753, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8216, 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: 0.996, f_measure: 0.8233, kappa: 0.8232, kb_relative_information_score: 1386.531, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8284, predictive_accuracy: 0.825, prior_entropy: 6.6439, recall: 0.825, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.5343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.6919, kappa: 0.6963, kb_relative_information_score: 0.1755, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.702, predictive_accuracy: 0.6994, prior_entropy: 6.6439, recall: 0.6994, 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: 0.958, kappa: 0.4148, kb_relative_information_score: 0.1494, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4206, prior_entropy: 6.6439, recall: 0.4206, 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: 0.9733, kappa: 0.2879, kb_relative_information_score: 636.4603, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.295, prior_entropy: 6.6439, recall: 0.295, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.9523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.6068, kappa: 0.6035, kb_relative_information_score: 1148.2516, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6469, predictive_accuracy: 0.6075, prior_entropy: 6.6439, recall: 0.6075, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.7361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.6932, kappa: 0.697, kb_relative_information_score: 0.4047, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 6.6439, recall: 0.7, 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: 0.46, kappa: -0.0025, kb_relative_information_score: 21.2724, 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: 0.9997, 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: 0.9963, f_measure: 0.825, kappa: 0.8201, kb_relative_information_score: 982.5484, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.836, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.8154, 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: 0.9965, f_measure: 0.8212, kappa: 0.8176, kb_relative_information_score: 981.6166, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8304, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.736, kappa: 0.7374, kb_relative_information_score: 0.34, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7415, predictive_accuracy: 0.74, prior_entropy: 6.6439, recall: 0.74, 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: 0.9916, f_measure: 0.7616, kappa: 0.7563, kb_relative_information_score: 0.2882, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7737, predictive_accuracy: 0.7588, prior_entropy: 6.6439, recall: 0.7588, 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: 0.9964, f_measure: 0.7948, kappa: 0.7879, kb_relative_information_score: 1368.8917, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8152, predictive_accuracy: 0.79, prior_entropy: 6.6439, recall: 0.79, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.7743, kappa: 0.7696, kb_relative_information_score: 0.2484, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7883, predictive_accuracy: 0.7719, prior_entropy: 6.6439, recall: 0.7719, 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: 0.2133, kappa: 0.0038, kb_relative_information_score: 2.4495, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, kappa: 0.0025, kb_relative_information_score: 69.0733, 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: 0.9988, 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: 0.9933, f_measure: 0.6873, kappa: 0.6711, kb_relative_information_score: 1210.9846, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7395, predictive_accuracy: 0.6744, prior_entropy: 6.6439, recall: 0.6744, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.6747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.6526, kappa: 0.6591, kb_relative_information_score: 0.251, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6707, predictive_accuracy: 0.6625, prior_entropy: 6.6439, recall: 0.6625, 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: 0.9935, f_measure: 0.7901, kappa: 0.7891, kb_relative_information_score: 1337.5472, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.794, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.5923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7515, kappa: 0.7424, kb_relative_information_score: 1275.1929, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7791, predictive_accuracy: 0.745, prior_entropy: 6.6439, recall: 0.745, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, kappa: 0.5638, kb_relative_information_score: 1110.3841, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5681, prior_entropy: 6.6439, recall: 0.5681, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.7276, kappa: 0.7298, kb_relative_information_score: 0.7663, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7321, predictive_accuracy: 0.7325, prior_entropy: 6.6439, recall: 0.7325, 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: 0.3079, kappa: -0.0076, kb_relative_information_score: 13.1535, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.6179, kappa: 0.6035, kb_relative_information_score: 1012.81, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.711, predictive_accuracy: 0.6075, prior_entropy: 6.6439, recall: 0.6075, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8236, kappa: 0.8169, kb_relative_information_score: 1389.2097, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.839, predictive_accuracy: 0.8188, prior_entropy: 6.6439, recall: 0.8188, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, kappa: 0.4937, kb_relative_information_score: 0.0708, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4988, prior_entropy: 6.6439, recall: 0.4988, 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: 0.817, kappa: 0.0896, kb_relative_information_score: 243.6199, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0988, prior_entropy: 6.6439, recall: 0.0988, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8136, kappa: 0.815, kb_relative_information_score: 1.0497, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8185, predictive_accuracy: 0.8169, prior_entropy: 6.6439, recall: 0.8169, 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: 0.9961, f_measure: 0.8128, kappa: 0.8087, kb_relative_information_score: 984.0681, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8211, predictive_accuracy: 0.8106, prior_entropy: 6.6439, recall: 0.8106, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.4896, kappa: 0.4527, kb_relative_information_score: 735.0169, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6002, predictive_accuracy: 0.4581, prior_entropy: 6.6439, recall: 0.4581, relative_absolute_error: 0.8775, 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: 0.9843, f_measure: 0.5808, kappa: 0.5562, kb_relative_information_score: 944.9678, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6472, predictive_accuracy: 0.5606, prior_entropy: 6.6439, recall: 0.5606, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.7853, kappa: 0.7809, kb_relative_information_score: 0.3025, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7995, predictive_accuracy: 0.7831, prior_entropy: 6.6439, recall: 0.7831, 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: 0.3452, kappa: -0.0076, kb_relative_information_score: 28.3558, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 0.9998, 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: 0.996, f_measure: 0.7942, kappa: 0.7866, kb_relative_information_score: 1359.1788, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8123, predictive_accuracy: 0.7888, prior_entropy: 6.6439, recall: 0.7888, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7738, kappa: 0.7715, kb_relative_information_score: 1342.6412, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7803, predictive_accuracy: 0.7738, prior_entropy: 6.6439, recall: 0.7738, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.5908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.7049, kappa: 0.7115, kb_relative_information_score: 0.2298, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7222, predictive_accuracy: 0.7144, prior_entropy: 6.6439, recall: 0.7144, 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: 0.9937, f_measure: 0.7644, kappa: 0.7645, kb_relative_information_score: 0.5021, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7737, predictive_accuracy: 0.7669, prior_entropy: 6.6439, recall: 0.7669, 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: 0.3675, kappa: 0.0025, kb_relative_information_score: 8.8348, 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: 0.9905, f_measure: 0.7364, kappa: 0.7348, kb_relative_information_score: 0.1909, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7483, predictive_accuracy: 0.7375, prior_entropy: 6.6439, recall: 0.7375, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,

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