Task
Supervised Classification on page-blocks

Supervised Classification on page-blocks

Task 3884 Supervised Classification page-blocks 576 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9505, kappa: 0.7412, kb_relative_information_score: 3313.5655, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9536, predictive_accuracy: 0.9487, prior_entropy: 0.4768, recall: 0.9487, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.7064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9518, kappa: 0.7463, kb_relative_information_score: 3285.5647, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9542, predictive_accuracy: 0.9503, prior_entropy: 0.4768, recall: 0.9503, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9742, kappa: 0.8587, kb_relative_information_score: 4134.1383, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9741, predictive_accuracy: 0.9744, prior_entropy: 0.4768, recall: 0.9744, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9259, kappa: 0.5543, kb_relative_information_score: 2227.9226, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9298, predictive_accuracy: 0.9348, prior_entropy: 0.4768, recall: 0.9348, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.7237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9704, kappa: 0.8377, kb_relative_information_score: 4086.8854, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9702, predictive_accuracy: 0.9706, prior_entropy: 0.4768, recall: 0.9706, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.5336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9587, kappa: 0.7662, kb_relative_information_score: 3470.279, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9586, predictive_accuracy: 0.9604, prior_entropy: 0.4768, recall: 0.9604, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.6214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9755, kappa: 0.8661, kb_relative_information_score: 4455.8354, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9754, predictive_accuracy: 0.9755, prior_entropy: 0.4768, recall: 0.9755, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9369, kappa: 0.6375, kb_relative_information_score: 2164.687, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9362, predictive_accuracy: 0.9406, prior_entropy: 0.4768, recall: 0.9406, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9713, kappa: 0.8401, kb_relative_information_score: 4194.9278, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9713, predictive_accuracy: 0.972, prior_entropy: 0.4768, recall: 0.972, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.151, root_relative_squared_error: 0.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9712, kappa: 0.8412, kb_relative_information_score: 4262.9951, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.971, predictive_accuracy: 0.9717, prior_entropy: 0.4768, recall: 0.9717, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9326, kappa: 0.619, kb_relative_information_score: 2760.1073, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9312, predictive_accuracy: 0.9353, prior_entropy: 0.4768, recall: 0.9353, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9586, kappa: 0.7643, kb_relative_information_score: 3562.6026, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9588, predictive_accuracy: 0.9605, prior_entropy: 0.4768, recall: 0.9605, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9369, kappa: 0.6464, kb_relative_information_score: 2923.0912, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9357, predictive_accuracy: 0.9388, prior_entropy: 0.4768, recall: 0.9388, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.7828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.9252, kappa: 0.5402, kb_relative_information_score: 3055.9549, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9371, predictive_accuracy: 0.9368, prior_entropy: 0.4768, recall: 0.9368, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9762, kappa: 0.8699, kb_relative_information_score: 4184.7642, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9761, predictive_accuracy: 0.9762, prior_entropy: 0.4768, recall: 0.9762, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9733, kappa: 0.8515, kb_relative_information_score: 3708.3137, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9732, predictive_accuracy: 0.9739, prior_entropy: 0.4768, recall: 0.9739, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8493, kb_relative_information_score: -2.0896, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 0.4768, recall: 0.8977, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9535, kappa: 0.7354, kb_relative_information_score: 3155.5376, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9535, predictive_accuracy: 0.9558, prior_entropy: 0.4768, recall: 0.9558, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9563, kappa: 0.7529, kb_relative_information_score: 3393.845, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9562, predictive_accuracy: 0.9582, prior_entropy: 0.4768, recall: 0.9582, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9587, kappa: 0.7662, kb_relative_information_score: 3481.0039, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9586, predictive_accuracy: 0.9604, prior_entropy: 0.4768, recall: 0.9604, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9728, kappa: 0.8514, kb_relative_information_score: 4236.98, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9727, predictive_accuracy: 0.973, prior_entropy: 0.4768, recall: 0.973, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8956, kappa: 0.4147, kb_relative_information_score: 1429.7144, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.893, predictive_accuracy: 0.8988, prior_entropy: 0.4768, recall: 0.8988, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.9293, kappa: 0.5707, kb_relative_information_score: 2061.6887, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.937, predictive_accuracy: 0.9388, prior_entropy: 0.4768, recall: 0.9388, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.7137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.927, kappa: 0.553, kb_relative_information_score: 3005.3905, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9372, predictive_accuracy: 0.9377, prior_entropy: 0.4768, recall: 0.9377, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.8236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8957, kappa: 0.4171, kb_relative_information_score: 1431.0417, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.8933, predictive_accuracy: 0.8986, prior_entropy: 0.4768, recall: 0.8986, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9772, kappa: 0.8755, kb_relative_information_score: 4153.4887, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9772, predictive_accuracy: 0.9773, prior_entropy: 0.4768, recall: 0.9773, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.133, root_relative_squared_error: 0.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.9232, kappa: 0.5449, kb_relative_information_score: 2730.9894, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9237, predictive_accuracy: 0.9308, prior_entropy: 0.4768, recall: 0.9308, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.8683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.9255, kappa: 0.5507, kb_relative_information_score: 2889.8532, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9301, predictive_accuracy: 0.9348, prior_entropy: 0.4768, recall: 0.9348, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.8427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9328, kappa: 0.6685, kb_relative_information_score: 2404.1383, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9446, predictive_accuracy: 0.9271, prior_entropy: 0.4768, recall: 0.9271, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8972, kappa: 0.4272, kb_relative_information_score: 1525.7678, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.8951, predictive_accuracy: 0.8997, prior_entropy: 0.4768, recall: 0.8997, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9728, kappa: 0.8514, kb_relative_information_score: 4236.98, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9727, predictive_accuracy: 0.973, prior_entropy: 0.4768, recall: 0.973, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8957, kappa: 0.4171, kb_relative_information_score: 1431.0417, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.8933, predictive_accuracy: 0.8986, prior_entropy: 0.4768, recall: 0.8986, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.9657, kappa: 0.813, kb_relative_information_score: 4110.2158, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.4768, recall: 0.9657, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.6115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 1423.9738, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 0.4768, recall: 0.8977, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.9657, kappa: 0.813, kb_relative_information_score: 4110.2158, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.4768, recall: 0.9657, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.6115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 1423.9738, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 0.4768, recall: 0.8977, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.9657, kappa: 0.813, kb_relative_information_score: 4110.2158, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.4768, recall: 0.9657, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.6115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 1423.9738, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 0.4768, recall: 0.8977, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.9657, kappa: 0.813, kb_relative_information_score: 4110.2158, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.4768, recall: 0.9657, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.6115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 1423.9738, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 0.4768, recall: 0.8977, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.8908, kappa: 0.3032, kb_relative_information_score: 1023.8014, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.91, predictive_accuracy: 0.915, prior_entropy: 0.4768, recall: 0.915, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9723, kappa: 0.8477, kb_relative_information_score: 4068.0809, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.4768, recall: 0.9726, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.9653, kappa: 0.8107, kb_relative_information_score: 4103.2364, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9652, predictive_accuracy: 0.9655, prior_entropy: 0.4768, recall: 0.9655, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9496, kappa: 0.7189, kb_relative_information_score: 2863.0698, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9489, predictive_accuracy: 0.9509, prior_entropy: 0.4768, recall: 0.9509, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6624, scimark_benchmark: 1922.3298, usercpu_time_millis: 15781.25, usercpu_time_millis_training: 15781.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9685, kappa: 0.8278, kb_relative_information_score: 3948.3912, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9684, predictive_accuracy: 0.9686, prior_entropy: 0.4768, recall: 0.9686, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.5369, scimark_benchmark: 1892.0925, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9785, kappa: 0.8826, kb_relative_information_score: 4162.3189, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9785, predictive_accuracy: 0.9786, prior_entropy: 0.4768, recall: 0.9786, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.4377, scimark_benchmark: 1892.0925, usercpu_time_millis: 1421.875, usercpu_time_millis_testing: 171.875, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9505, kappa: 0.7412, kb_relative_information_score: 3313.5655, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9536, predictive_accuracy: 0.9487, prior_entropy: 0.4768, recall: 0.9487, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.7064, scimark_benchmark: 1892.0925, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9734, kappa: 0.8543, kb_relative_information_score: 4239.2059, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9733, predictive_accuracy: 0.9735, prior_entropy: 0.4768, recall: 0.9735, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5041, scimark_benchmark: 1892.0925, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9471, kappa: 0.6981, kb_relative_information_score: 2727.2503, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9468, predictive_accuracy: 0.9498, prior_entropy: 0.4768, recall: 0.9498, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.6531, scimark_benchmark: 1370.9452, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9704, kappa: 0.8377, kb_relative_information_score: 4086.8854, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9702, predictive_accuracy: 0.9706, prior_entropy: 0.4768, recall: 0.9706, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.5336, scimark_benchmark: 1834.908, usercpu_time_millis: 328.125, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.9432, kappa: 0.6761, kb_relative_information_score: 2406.0851, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9427, predictive_accuracy: 0.9461, prior_entropy: 0.4768, recall: 0.9461, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.709, scimark_benchmark: 1834.908, usercpu_time_millis: 1437.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9615, kappa: 0.786, kb_relative_information_score: 3580.8021, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9611, predictive_accuracy: 0.9624, prior_entropy: 0.4768, recall: 0.9624, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5544, scimark_benchmark: 1834.908, usercpu_time_millis: 812.5, usercpu_time_millis_training: 812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9615, kappa: 0.786, kb_relative_information_score: 3580.8021, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9611, predictive_accuracy: 0.9624, prior_entropy: 0.4768, recall: 0.9624, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5544, scimark_benchmark: 1788.6668, usercpu_time_millis: 1078.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9572, kappa: 0.7611, kb_relative_information_score: 3472.118, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9568, predictive_accuracy: 0.9583, prior_entropy: 0.4768, recall: 0.9583, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5801, scimark_benchmark: 1788.6668, usercpu_time_millis: 640.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9703, kappa: 0.8388, kb_relative_information_score: 4059.0867, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9704, predictive_accuracy: 0.9702, prior_entropy: 0.4768, recall: 0.9702, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.5334, scimark_benchmark: 1788.6668, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.9265, kappa: 0.6025, kb_relative_information_score: 1131.5129, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.927, predictive_accuracy: 0.926, prior_entropy: 0.4768, recall: 0.926, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.7891, scimark_benchmark: 1788.6668, usercpu_time_millis: 1281.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9314, kappa: 0.6002, kb_relative_information_score: 1988.5587, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9313, predictive_accuracy: 0.9368, prior_entropy: 0.4768, recall: 0.9368, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.224, root_relative_squared_error: 0.7392, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.9237, kappa: 0.5441, kb_relative_information_score: 2788.758, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9259, predictive_accuracy: 0.9322, prior_entropy: 0.4768, recall: 0.9322, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.8591, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.927, kappa: 0.553, kb_relative_information_score: 3005.3905, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9372, predictive_accuracy: 0.9377, prior_entropy: 0.4768, recall: 0.9377, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.8236, scimark_benchmark: 1573.0975, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9431, kappa: 0.6643, kb_relative_information_score: 3031.2588, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9463, predictive_accuracy: 0.9485, prior_entropy: 0.4768, recall: 0.9485, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6379, scimark_benchmark: 1447.2612, usercpu_time_millis: 2046.875, usercpu_time_millis_testing: 2031.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.9507, kappa: 0.7118, kb_relative_information_score: 3627.7869, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9532, predictive_accuracy: 0.9547, prior_entropy: 0.4768, recall: 0.9547, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.188, root_relative_squared_error: 0.6203, scimark_benchmark: 1840.6094, usercpu_time_millis: 1734.375, usercpu_time_millis_testing: 1703.125, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9561, kappa: 0.7454, kb_relative_information_score: 3868.7381, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9581, predictive_accuracy: 0.9593, prior_entropy: 0.4768, recall: 0.9593, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5769, scimark_benchmark: 1840.6094, usercpu_time_millis: 1484.375, usercpu_time_millis_testing: 1484.375,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs