Task
Supervised Classification on machine_cpu

Supervised Classification on machine_cpu

Task 3599 Supervised Classification machine_cpu 652 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.928, kappa: 0.816, kb_relative_information_score: 163.388, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8838, kappa: 0.7005, kb_relative_information_score: 116.2079, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8832, predictive_accuracy: 0.8852, prior_entropy: 0.8417, recall: 0.8852, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.7109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9128, kappa: 0.7754, kb_relative_information_score: 143.1527, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9126, predictive_accuracy: 0.9139, prior_entropy: 0.8417, recall: 0.9139, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9419, kappa: 0.8503, kb_relative_information_score: 174.8186, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9383, kappa: 0.8441, kb_relative_information_score: 167.8589, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9393, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9123, kappa: 0.7727, kb_relative_information_score: 151.9174, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9126, predictive_accuracy: 0.9139, prior_entropy: 0.8417, recall: 0.9139, relative_absolute_error: 0.2651, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.9386, kappa: 0.8458, kb_relative_information_score: 164.3093, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9407, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9372, kappa: 0.8387, kb_relative_information_score: 158.2441, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9372, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9435, kappa: 0.8584, kb_relative_information_score: 168.9239, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9462, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 153.708, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9386, kappa: 0.8458, kb_relative_information_score: 170.8878, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9407, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.234, root_relative_squared_error: 0.5284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.9043, kappa: 0.7561, kb_relative_information_score: 153.8815, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9043, predictive_accuracy: 0.9043, prior_entropy: 0.8417, recall: 0.9043, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.9426, kappa: 0.8536, kb_relative_information_score: 170.7896, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9426, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.5546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9429, kappa: 0.8553, kb_relative_information_score: 169.3524, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9434, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9266, kappa: 0.8095, kb_relative_information_score: 160.9601, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9278, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9139, kappa: 0.7805, kb_relative_information_score: 155.6798, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9139, predictive_accuracy: 0.9139, prior_entropy: 0.8417, recall: 0.9139, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.274, root_relative_squared_error: 0.6186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.9123, kappa: 0.7727, kb_relative_information_score: 158.7271, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9126, predictive_accuracy: 0.9139, prior_entropy: 0.8417, recall: 0.9139, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.6214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9386, kappa: 0.8458, kb_relative_information_score: 172.6298, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9407, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9368, kappa: 0.8368, kb_relative_information_score: 163.6095, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9373, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9313, kappa: 0.8211, kb_relative_information_score: 169.4823, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9568, kappa: 0.8896, kb_relative_information_score: 165.9817, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9567, predictive_accuracy: 0.9569, prior_entropy: 0.8417, recall: 0.9569, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9209, kappa: 0.7931, kb_relative_information_score: 132.7304, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9241, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4718, f_measure: 0.6188, kb_relative_information_score: -0.6521, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9276, kappa: 0.8139, kb_relative_information_score: 160.76, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9274, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9276, kappa: 0.8139, kb_relative_information_score: 160.76, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9274, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9077, kappa: 0.7615, kb_relative_information_score: 154.0351, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9076, predictive_accuracy: 0.9091, prior_entropy: 0.8417, recall: 0.9091, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.9197, kappa: 0.7881, kb_relative_information_score: 163.6858, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 167.4791, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9337, kappa: 0.833, kb_relative_information_score: 170.5752, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9352, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.915, kappa: 0.7762, kb_relative_information_score: 155.549, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9214, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9386, kappa: 0.8458, kb_relative_information_score: 172.6298, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9407, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 167.4791, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9386, kappa: 0.8458, kb_relative_information_score: 168.358, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9407, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.9244, kappa: 0.8001, kb_relative_information_score: 166.469, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9346, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9292, kappa: 0.8221, kb_relative_information_score: 166.2252, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9313, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.5019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 159.7147, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.9197, kappa: 0.7881, kb_relative_information_score: 163.6858, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9386, kappa: 0.8458, kb_relative_information_score: 172.6298, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9407, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9197, kappa: 0.7984, kb_relative_information_score: 160.9026, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.922, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9197, kappa: 0.7984, kb_relative_information_score: 160.9026, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.922, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9197, kappa: 0.7984, kb_relative_information_score: 160.9026, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.922, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9197, kappa: 0.7984, kb_relative_information_score: 160.9026, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.922, predictive_accuracy: 0.9187, prior_entropy: 0.8417, recall: 0.9187, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.644,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.7225, kappa: 0.2529, kb_relative_information_score: 31.6732, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8105, predictive_accuracy: 0.7799, prior_entropy: 0.8417, recall: 0.7799, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.9205,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9117, kappa: 0.77, kb_relative_information_score: 154.8195, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.913, predictive_accuracy: 0.9139, prior_entropy: 0.8417, recall: 0.9139, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5778, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9322, kappa: 0.8253, kb_relative_information_score: 166.4745, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9323, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.5104, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.9083, kappa: 0.7643, kb_relative_information_score: 145.2811, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9079, predictive_accuracy: 0.9091, prior_entropy: 0.8417, recall: 0.9091, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.6415, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9215, kappa: 0.7956, kb_relative_information_score: 153.741, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9231, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.5511, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 160.8517, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.5055, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.9197, kappa: 0.7881, kb_relative_information_score: 163.6858, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6247, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.9197, kappa: 0.7881, kb_relative_information_score: 163.6858, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6247, scimark_benchmark: 1259.7271, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 164.1064, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4849, scimark_benchmark: 994.4617, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 153.708, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5996, scimark_benchmark: 1290.5371, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.922, kappa: 0.798, kb_relative_information_score: 156.4048, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9226, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5173, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9261, kappa: 0.8072, kb_relative_information_score: 163.7424, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9287, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5264, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.9407, kappa: 0.8449, kb_relative_information_score: 158.5819, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9448, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.5365, scimark_benchmark: 1840.6094,

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