Task
Supervised Classification on analcatdata_wildcat

Supervised Classification on analcatdata_wildcat

Task 3614 Supervised Classification analcatdata_wildcat 810 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: 0.8203, f_measure: 0.7119, kappa: 0.277, kb_relative_information_score: 49.5865, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7069, predictive_accuracy: 0.7239, prior_entropy: 0.8699, recall: 0.7239, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7503, kappa: 0.3734, kb_relative_information_score: 39.6941, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7478, predictive_accuracy: 0.7607, prior_entropy: 0.8699, recall: 0.7607, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4, root_relative_squared_error: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.753, kappa: 0.3944, kb_relative_information_score: 35.482, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7516, predictive_accuracy: 0.7546, prior_entropy: 0.8699, recall: 0.7546, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7294, kappa: 0.3274, kb_relative_information_score: 26.5887, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7256, predictive_accuracy: 0.7362, prior_entropy: 0.8699, recall: 0.7362, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7507, kappa: 0.3985, kb_relative_information_score: 45.7926, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7535, predictive_accuracy: 0.7485, prior_entropy: 0.8699, recall: 0.7485, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7406, kappa: 0.3641, kb_relative_information_score: 44.7316, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7392, predictive_accuracy: 0.7423, prior_entropy: 0.8699, recall: 0.7423, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.742, kappa: 0.3587, kb_relative_information_score: 48.4779, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7386, predictive_accuracy: 0.7485, prior_entropy: 0.8699, recall: 0.7485, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7243, kappa: 0.3163, kb_relative_information_score: 44.9652, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7205, predictive_accuracy: 0.7301, prior_entropy: 0.8699, recall: 0.7301, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.7271, kappa: 0.3111, kb_relative_information_score: 41.1364, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7244, predictive_accuracy: 0.7423, prior_entropy: 0.8699, recall: 0.7423, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.742, kappa: 0.3587, kb_relative_information_score: 51.4805, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7386, predictive_accuracy: 0.7485, prior_entropy: 0.8699, recall: 0.7485, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7192, kappa: 0.2898, kb_relative_information_score: 48.1636, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7163, predictive_accuracy: 0.7362, prior_entropy: 0.8699, recall: 0.7362, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7453, kappa: 0.3877, kb_relative_information_score: 44.082, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7492, predictive_accuracy: 0.7423, prior_entropy: 0.8699, recall: 0.7423, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7546, kappa: 0.4021, kb_relative_information_score: 55.0152, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7546, predictive_accuracy: 0.7546, prior_entropy: 0.8699, recall: 0.7546, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.6964, kappa: 0.2245, kb_relative_information_score: 47.9591, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7018, predictive_accuracy: 0.7301, prior_entropy: 0.8699, recall: 0.7301, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7619, kappa: 0.4095, kb_relative_information_score: 44.9264, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7591, predictive_accuracy: 0.7669, prior_entropy: 0.8699, recall: 0.7669, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7425, kappa: 0.3467, kb_relative_information_score: 43.0094, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7445, predictive_accuracy: 0.7607, prior_entropy: 0.8699, recall: 0.7607, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.8486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5918, kb_relative_information_score: -0.4486, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.5065, predictive_accuracy: 0.7117, prior_entropy: 0.8699, recall: 0.7117, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7737, kappa: 0.4504, kb_relative_information_score: 57.4908, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7745, predictive_accuracy: 0.773, prior_entropy: 0.8699, recall: 0.773, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7561, kappa: 0.4095, kb_relative_information_score: 45.838, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7578, predictive_accuracy: 0.7546, prior_entropy: 0.8699, recall: 0.7546, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7211, kappa: 0.3143, kb_relative_information_score: 40.6711, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7189, predictive_accuracy: 0.7239, prior_entropy: 0.8699, recall: 0.7239, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7401, kappa: 0.3439, kb_relative_information_score: 43.7886, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7386, predictive_accuracy: 0.7546, prior_entropy: 0.8699, recall: 0.7546, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7561, kappa: 0.4095, kb_relative_information_score: 48.2816, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7578, predictive_accuracy: 0.7546, prior_entropy: 0.8699, recall: 0.7546, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7507, kappa: 0.3985, kb_relative_information_score: 45.9444, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7535, predictive_accuracy: 0.7485, prior_entropy: 0.8699, recall: 0.7485, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7507, kappa: 0.3985, kb_relative_information_score: 45.7388, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7535, predictive_accuracy: 0.7485, prior_entropy: 0.8699, recall: 0.7485, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.7111, kappa: 0.2682, kb_relative_information_score: 47.1932, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.708, predictive_accuracy: 0.7301, prior_entropy: 0.8699, recall: 0.7301, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.1469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7441, kappa: 0.3671, kb_relative_information_score: 52.5336, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7412, predictive_accuracy: 0.7485, prior_entropy: 0.8699, recall: 0.7485, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.6616, kappa: 0.1466, kb_relative_information_score: 49.8111, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7397, predictive_accuracy: 0.7362, prior_entropy: 0.8699, recall: 0.7362, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.1338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7453, kappa: 0.3877, kb_relative_information_score: 45.6751, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7492, predictive_accuracy: 0.7423, prior_entropy: 0.8699, recall: 0.7423, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7561, kappa: 0.4095, kb_relative_information_score: 48.2816, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7578, predictive_accuracy: 0.7546, prior_entropy: 0.8699, recall: 0.7546, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.6616, kappa: 0.1466, kb_relative_information_score: 49.8111, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7397, predictive_accuracy: 0.7362, prior_entropy: 0.8699, recall: 0.7362, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.1338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7325, kappa: 0.3784, kb_relative_information_score: 38.5892, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7501, predictive_accuracy: 0.7239, prior_entropy: 0.8699, recall: 0.7239, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7507, kappa: 0.3985, kb_relative_information_score: 45.7388, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7535, predictive_accuracy: 0.7485, prior_entropy: 0.8699, recall: 0.7485, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.6218, kappa: 0.0513, kb_relative_information_score: 39.3394, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.6564, predictive_accuracy: 0.7117, prior_entropy: 0.8699, recall: 0.7117, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.537, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5918, kb_relative_information_score: 39.3394, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.5065, predictive_accuracy: 0.7117, prior_entropy: 0.8699, recall: 0.7117, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.537, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.6218, kappa: 0.0513, kb_relative_information_score: 39.3394, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.6564, predictive_accuracy: 0.7117, prior_entropy: 0.8699, recall: 0.7117, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.537, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5918, kb_relative_information_score: 39.3394, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.5065, predictive_accuracy: 0.7117, prior_entropy: 0.8699, recall: 0.7117, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.537, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.6218, kappa: 0.0513, kb_relative_information_score: 39.3394, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.6564, predictive_accuracy: 0.7117, prior_entropy: 0.8699, recall: 0.7117, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.537, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5918, kb_relative_information_score: 39.3394, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.5065, predictive_accuracy: 0.7117, prior_entropy: 0.8699, recall: 0.7117, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.537, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.6218, kappa: 0.0513, kb_relative_information_score: 39.3394, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.6564, predictive_accuracy: 0.7117, prior_entropy: 0.8699, recall: 0.7117, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.537, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5918, kb_relative_information_score: 39.3394, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.5065, predictive_accuracy: 0.7117, prior_entropy: 0.8699, recall: 0.7117, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.537, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.6022, kappa: -0.0007, kb_relative_information_score: 5.9372, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.5888, predictive_accuracy: 0.6933, prior_entropy: 0.8699, recall: 0.6933, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.816, kappa: 0.5403, kb_relative_information_score: 61.1489, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.8159, predictive_accuracy: 0.8221, prior_entropy: 0.8699, recall: 0.8221, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.723, kappa: 0.323, kb_relative_information_score: 44.5753, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7222, predictive_accuracy: 0.7239, prior_entropy: 0.8699, recall: 0.7239, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.1599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5918, kb_relative_information_score: 39.3394, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.5065, predictive_accuracy: 0.7117, prior_entropy: 0.8699, recall: 0.7117, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.537, root_relative_squared_error: 1.1854, scimark_benchmark: 1697.6783,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5918, kb_relative_information_score: 39.3394, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.5065, predictive_accuracy: 0.7117, prior_entropy: 0.8699, recall: 0.7117, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.537, root_relative_squared_error: 1.1854, scimark_benchmark: 1368.2162, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7317, kappa: 0.3505, kb_relative_information_score: 33.8381, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7336, predictive_accuracy: 0.7301, prior_entropy: 0.8699, recall: 0.7301, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8703, 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: 0.7888, f_measure: 0.7054, kappa: 0.2477, kb_relative_information_score: 31.5047, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7109, predictive_accuracy: 0.7362, prior_entropy: 0.8699, recall: 0.7362, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8852, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.6616, kappa: 0.1466, kb_relative_information_score: 49.8111, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7397, predictive_accuracy: 0.7362, prior_entropy: 0.8699, recall: 0.7362, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.1338, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.7192, kappa: 0.2898, kb_relative_information_score: 49.8111, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7163, predictive_accuracy: 0.7362, prior_entropy: 0.8699, recall: 0.7362, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.1338, scimark_benchmark: 1349.9949, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7427, kappa: 0.3529, kb_relative_information_score: 42.0045, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7401, predictive_accuracy: 0.7546, prior_entropy: 0.8699, recall: 0.7546, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8817, scimark_benchmark: 952.1674, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7294, kappa: 0.3274, kb_relative_information_score: 26.5887, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7256, predictive_accuracy: 0.7362, prior_entropy: 0.8699, recall: 0.7362, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9627, scimark_benchmark: 1083.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.724, kappa: 0.295, kb_relative_information_score: 44.0232, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.737, predictive_accuracy: 0.7546, prior_entropy: 0.8699, recall: 0.7546, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8581, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7363, kappa: 0.3277, kb_relative_information_score: 50.9584, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7444, predictive_accuracy: 0.7607, prior_entropy: 0.8699, recall: 0.7607, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9525, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.724, kappa: 0.295, kb_relative_information_score: 41.1497, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.737, predictive_accuracy: 0.7546, prior_entropy: 0.8699, recall: 0.7546, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.0169, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7833, kappa: 0.4574, kb_relative_information_score: 56.8008, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7822, predictive_accuracy: 0.7914, prior_entropy: 0.8699, recall: 0.7914, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.8157, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7211, kappa: 0.3143, kb_relative_information_score: 40.2555, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7189, predictive_accuracy: 0.7239, prior_entropy: 0.8699, recall: 0.7239, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.9066, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7737, kappa: 0.4504, kb_relative_information_score: 57.4908, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7745, predictive_accuracy: 0.773, prior_entropy: 0.8699, recall: 0.773, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8682, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5058, f_measure: 0.614, kappa: 0.0144, kb_relative_information_score: 23.6318, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.5984, predictive_accuracy: 0.6748, prior_entropy: 0.8699, recall: 0.6748, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5702, root_relative_squared_error: 1.2588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5888, kappa: -0.0122, kb_relative_information_score: 36.7215, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.5052, predictive_accuracy: 0.7055, prior_entropy: 0.8699, recall: 0.7055, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5427, root_relative_squared_error: 1.1979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7583, kappa: 0.4057, kb_relative_information_score: 60.2828, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7565, predictive_accuracy: 0.7607, prior_entropy: 0.8699, recall: 0.7607, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0798,

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