Task
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 34539 Supervised Classification Amazon_employee_access 21099 runs submitted
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21099 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.9428, kappa: 0.4642, kb_relative_information_score: -28.7762, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9417, predictive_accuracy: 0.944, prior_entropy: 0.3191, recall: 0.944, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.9315, kappa: 0.2736, kb_relative_information_score: -11665.1835, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9282, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.212, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.935, kappa: 0.3267, kb_relative_information_score: -10105.4096, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9318, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.21, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.931, kappa: 0.2587, kb_relative_information_score: -12484.6079, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.929, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.9313, kappa: 0.2694, kb_relative_information_score: -11803.8849, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9282, predictive_accuracy: 0.9434, prior_entropy: 0.3191, recall: 0.9434, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.9326, kappa: 0.291, kb_relative_information_score: -11070.1166, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9292, predictive_accuracy: 0.9434, prior_entropy: 0.3191, recall: 0.9434, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.9249, kappa: 0.1638, kb_relative_information_score: -14674.2085, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.9412, kappa: 0.4122, kb_relative_information_score: -6608.4974, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9384, predictive_accuracy: 0.9468, prior_entropy: 0.3191, recall: 0.9468, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.9437, kappa: 0.451, kb_relative_information_score: -5381.9944, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9413, predictive_accuracy: 0.9474, prior_entropy: 0.3191, recall: 0.9474, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.928, kappa: 0.211, kb_relative_information_score: -13478.631, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9272, predictive_accuracy: 0.9439, prior_entropy: 0.3191, recall: 0.9439, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.9236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.9379, kappa: 0.3675, kb_relative_information_score: -9171.894, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9349, predictive_accuracy: 0.9453, prior_entropy: 0.3191, recall: 0.9453, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.939, kappa: 0.3898, kb_relative_information_score: -8843.0203, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9359, predictive_accuracy: 0.9449, prior_entropy: 0.3191, recall: 0.9449, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.9263, kappa: 0.1867, kb_relative_information_score: -14057.2193, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.9402, kappa: 0.4352, kb_relative_information_score: 2434.6232, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9386, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.9303, kappa: 0.2463, kb_relative_information_score: -12239.7553, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9287, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.9314, kappa: 0.2735, kb_relative_information_score: -11638.8728, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9282, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.212, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.928, kappa: 0.2108, kb_relative_information_score: -13511.5984, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9271, predictive_accuracy: 0.9439, prior_entropy: 0.3191, recall: 0.9439, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.9236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.9322, kappa: 0.2839, kb_relative_information_score: -11400.616, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.929, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.9236, kappa: 0.1424, kb_relative_information_score: -15175.7385, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9254, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.9381, kappa: 0.3718, kb_relative_information_score: -9139.1388, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.935, predictive_accuracy: 0.9452, prior_entropy: 0.3191, recall: 0.9452, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.926, kappa: 0.18, kb_relative_information_score: -14174.721, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9436, prior_entropy: 0.3191, recall: 0.9436, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.9367, kappa: 0.3528, kb_relative_information_score: -9734.8384, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9334, predictive_accuracy: 0.9445, prior_entropy: 0.3191, recall: 0.9445, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.9263, kappa: 0.1867, kb_relative_information_score: -14123.6064, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.9277, kappa: 0.2085, kb_relative_information_score: -13222.3412, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9265, predictive_accuracy: 0.9436, prior_entropy: 0.3191, recall: 0.9436, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.9324, kappa: 0.2899, kb_relative_information_score: -11091.436, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.929, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.9031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.9314, kappa: 0.2699, kb_relative_information_score: -11714.3797, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9284, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.9105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.9432, kappa: 0.443, kb_relative_information_score: -5446.4622, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9408, predictive_accuracy: 0.9474, prior_entropy: 0.3191, recall: 0.9474, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.9402, kappa: 0.4349, kb_relative_information_score: 1820.3415, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9386, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.9322, kappa: 0.2843, kb_relative_information_score: -11460.1827, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.929, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.9236, kappa: 0.1426, kb_relative_information_score: -15153.1495, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.9303, kappa: 0.2463, kb_relative_information_score: -12227.3335, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9287, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.9228, kappa: 0.1328, kb_relative_information_score: -15185.6338, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9234, predictive_accuracy: 0.943, prior_entropy: 0.3191, recall: 0.943, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.9249, kappa: 0.1638, kb_relative_information_score: -14649.1348, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.9313, kappa: 0.268, kb_relative_information_score: -11546.345, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9284, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.212, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.9398, kappa: 0.396, kb_relative_information_score: -8190.5362, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9368, predictive_accuracy: 0.9458, prior_entropy: 0.3191, recall: 0.9458, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.9384, kappa: 0.3814, kb_relative_information_score: -8955.9541, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9352, predictive_accuracy: 0.9446, prior_entropy: 0.3191, recall: 0.9446, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.9307, kappa: 0.254, kb_relative_information_score: -11786.0103, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9287, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.9426, kappa: 0.4609, kb_relative_information_score: 5987.7315, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9414, predictive_accuracy: 0.9441, prior_entropy: 0.3191, recall: 0.9441, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.216, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.9309, kappa: 0.2598, kb_relative_information_score: -11558.2704, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9284, predictive_accuracy: 0.9438, prior_entropy: 0.3191, recall: 0.9438, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.9102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.922, kappa: 0.1199, kb_relative_information_score: -15687.1701, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9235, predictive_accuracy: 0.943, prior_entropy: 0.3191, recall: 0.943, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.9413, kappa: 0.4172, kb_relative_information_score: -7757.1394, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9385, predictive_accuracy: 0.9463, prior_entropy: 0.3191, recall: 0.9463, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.9322, kappa: 0.2839, kb_relative_information_score: -11391.9268, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.929, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.9048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.9339, kappa: 0.3114, kb_relative_information_score: -10593.2872, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9305, predictive_accuracy: 0.9436, prior_entropy: 0.3191, recall: 0.9436, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.9369, kappa: 0.3563, kb_relative_information_score: -9779.6316, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9337, predictive_accuracy: 0.9446, prior_entropy: 0.3191, recall: 0.9446, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.9354, kappa: 0.3351, kb_relative_information_score: -9967.8418, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9321, predictive_accuracy: 0.944, prior_entropy: 0.3191, recall: 0.944, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.9315, kappa: 0.2736, kb_relative_information_score: -11701.6128, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9282, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.212, root_relative_squared_error: 0.9077,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.9256, kappa: 0.1767, kb_relative_information_score: -13739.3306, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9251, predictive_accuracy: 0.9433, prior_entropy: 0.3191, recall: 0.9433, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.943, kappa: 0.4425, kb_relative_information_score: -3978.9839, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9406, predictive_accuracy: 0.9471, prior_entropy: 0.3191, recall: 0.9471, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.922, kappa: 0.1199, kb_relative_information_score: -15692.0107, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9235, predictive_accuracy: 0.943, prior_entropy: 0.3191, recall: 0.943, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.923, kappa: 0.1376, kb_relative_information_score: -14865.1669, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9227, predictive_accuracy: 0.9427, prior_entropy: 0.3191, recall: 0.9427, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.9325, kappa: 0.2903, kb_relative_information_score: -11038.8357, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9291, predictive_accuracy: 0.9433, prior_entropy: 0.3191, recall: 0.9433, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.9024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.9418, kappa: 0.4467, kb_relative_information_score: -2014.6211, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.94, predictive_accuracy: 0.9441, prior_entropy: 0.3191, recall: 0.9441, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.942, kappa: 0.4551, kb_relative_information_score: 7145.7551, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9407, predictive_accuracy: 0.9434, prior_entropy: 0.3191, recall: 0.9434, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.9309, kappa: 0.2597, kb_relative_information_score: -11527.1068, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9283, predictive_accuracy: 0.9438, prior_entropy: 0.3191, recall: 0.9438, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.9303, kappa: 0.2463, kb_relative_information_score: -12248.8901, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9287, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.9313, kappa: 0.2693, kb_relative_information_score: -11749.9211, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9284, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.9108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.9307, kappa: 0.2542, kb_relative_information_score: -11832.1694, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9288, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.9313, kappa: 0.268, kb_relative_information_score: -11568.8347, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9284, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.212, root_relative_squared_error: 0.9076,

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