Task
Supervised Classification on confidence

Supervised Classification on confidence

Task 3559 Supervised Classification confidence 374 runs submitted
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  • study_1 study_107 study_123 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7765, kappa: 0.7333, kb_relative_information_score: 54.6247, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7785, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.7098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.7968, kappa: 0.7667, kb_relative_information_score: 49.7292, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7997, predictive_accuracy: 0.8056, prior_entropy: 2.585, recall: 0.8056, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.821, kappa: 0.8, kb_relative_information_score: 58.7789, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8418, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7686, kappa: 0.75, kb_relative_information_score: 55.8079, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7753, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.21, root_relative_squared_error: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8202, kappa: 0.8, kb_relative_information_score: 49.3293, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8432, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.6291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8343, kappa: 0.8, kb_relative_information_score: 57.7542, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.837, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.6205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.7772, kappa: 0.7333, kb_relative_information_score: 53.3681, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7819, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8488, kappa: 0.8167, kb_relative_information_score: 60.1987, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8546, predictive_accuracy: 0.8472, prior_entropy: 2.585, recall: 0.8472, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.187, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.7764, kappa: 0.7333, kb_relative_information_score: 53.9085, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7768, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.6641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8621, kappa: 0.8333, kb_relative_information_score: 60.8429, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.865, predictive_accuracy: 0.8611, prior_entropy: 2.585, recall: 0.8611, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.191, root_relative_squared_error: 0.5126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8291, kappa: 0.8, kb_relative_information_score: 58.3011, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8292, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.5962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.7812, kappa: 0.7333, kb_relative_information_score: 54.721, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7866, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8337, kappa: 0.8, kb_relative_information_score: 58.0391, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.836, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8049, kappa: 0.7667, kb_relative_information_score: 58.0795, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.809, predictive_accuracy: 0.8056, prior_entropy: 2.585, recall: 0.8056, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8482, kappa: 0.8167, kb_relative_information_score: 59.8669, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8511, predictive_accuracy: 0.8472, prior_entropy: 2.585, recall: 0.8472, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8049, kappa: 0.7667, kb_relative_information_score: 58.0795, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.809, predictive_accuracy: 0.8056, prior_entropy: 2.585, recall: 0.8056, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8482, kappa: 0.8167, kb_relative_information_score: 59.8669, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8511, predictive_accuracy: 0.8472, prior_entropy: 2.585, recall: 0.8472, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8272, kappa: 0.8, kb_relative_information_score: 58.8879, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8316, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.191, root_relative_squared_error: 0.5126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.465, kappa: 0.4, kb_relative_information_score: 21.2659, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.4705, predictive_accuracy: 0.5, prior_entropy: 2.585, recall: 0.5, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.8916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.7915, kappa: 0.75, kb_relative_information_score: 54.8756, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7955, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.7765, kappa: 0.75, kb_relative_information_score: 54.3336, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7782, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, f_measure: 0.0637, kappa: -0.0333, kb_relative_information_score: 0.2624, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.0468, predictive_accuracy: 0.1389, prior_entropy: 2.585, recall: 0.1389, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8837, kappa: 0.8667, kb_relative_information_score: 60.2806, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8935, predictive_accuracy: 0.8889, prior_entropy: 2.585, recall: 0.8889, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8837, kappa: 0.8667, kb_relative_information_score: 60.2806, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8935, predictive_accuracy: 0.8889, prior_entropy: 2.585, recall: 0.8889, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8837, kappa: 0.8667, kb_relative_information_score: 60.2806, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8935, predictive_accuracy: 0.8889, prior_entropy: 2.585, recall: 0.8889, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.7777, kappa: 0.7333, kb_relative_information_score: 53.3753, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7823, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8482, kappa: 0.8167, kb_relative_information_score: 59.3677, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8511, predictive_accuracy: 0.8472, prior_entropy: 2.585, recall: 0.8472, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.207, root_relative_squared_error: 0.5555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.6492, kappa: 0.6, kb_relative_information_score: 24.4948, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6556, predictive_accuracy: 0.6667, prior_entropy: 2.585, recall: 0.6667, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.5805, kappa: 0.5, kb_relative_information_score: 23.0293, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.5996, predictive_accuracy: 0.5833, prior_entropy: 2.585, recall: 0.5833, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.8803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8482, kappa: 0.8167, kb_relative_information_score: 59.8669, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8511, predictive_accuracy: 0.8472, prior_entropy: 2.585, recall: 0.8472, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.7549, kappa: 0.7, kb_relative_information_score: 51.0852, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7737, predictive_accuracy: 0.75, prior_entropy: 2.585, recall: 0.75, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.6407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.5906, kappa: 0.5167, kb_relative_information_score: 23.2784, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6152, predictive_accuracy: 0.5972, prior_entropy: 2.585, recall: 0.5972, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8349, kappa: 0.8, kb_relative_information_score: 60.0834, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8408, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.19, root_relative_squared_error: 0.5097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8362, kappa: 0.8, kb_relative_information_score: 56.5954, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8425, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.6029, kappa: 0.5333, kb_relative_information_score: 23.2424, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6232, predictive_accuracy: 0.6111, prior_entropy: 2.585, recall: 0.6111, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.7777, kappa: 0.7333, kb_relative_information_score: 53.3753, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7823, predictive_accuracy: 0.7778, prior_entropy: 2.585, recall: 0.7778, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4082, f_measure: 0.0836, kappa: -0.0333, kb_relative_information_score: 0.2814, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.0703, predictive_accuracy: 0.1389, prior_entropy: 2.585, recall: 0.1389, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3736, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8201, kappa: 0.7833, kb_relative_information_score: 55.4859, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8313, predictive_accuracy: 0.8194, prior_entropy: 2.585, recall: 0.8194, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.5896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7879, kappa: 0.75, kb_relative_information_score: 55.4737, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7883, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7228, kappa: 0.7167, kb_relative_information_score: 52.3665, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7475, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6839, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.7022, kappa: 0.65, kb_relative_information_score: 49.1385, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7033, predictive_accuracy: 0.7083, prior_entropy: 2.585, recall: 0.7083, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.7736, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.3121, kappa: 0.1333, kb_relative_information_score: 14.7087, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6832, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.3166, scimark_benchmark: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.3121, kappa: 0.1333, kb_relative_information_score: 14.7087, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6832, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.3166, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8014, kappa: 0.7667, kb_relative_information_score: 55.6318, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8007, predictive_accuracy: 0.8056, prior_entropy: 2.585, recall: 0.8056, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5586, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8014, kappa: 0.7667, kb_relative_information_score: 55.6318, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8007, predictive_accuracy: 0.8056, prior_entropy: 2.585, recall: 0.8056, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5586, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.7483, kappa: 0.7167, kb_relative_information_score: 50.2136, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7654, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6466, scimark_benchmark: 928.8135, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8362, kappa: 0.8, kb_relative_information_score: 56.5954, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8425, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.5601, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7228, kappa: 0.7167, kb_relative_information_score: 52.3665, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7475, predictive_accuracy: 0.7639, prior_entropy: 2.585, recall: 0.7639, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6839, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.3121, kappa: 0.1333, kb_relative_information_score: 14.7087, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6832, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.3166, scimark_benchmark: 1354.1768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.3121, kappa: 0.1333, kb_relative_information_score: 14.7087, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.6832, predictive_accuracy: 0.2778, prior_entropy: 2.585, recall: 0.2778, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.3166, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8362, kappa: 0.8, kb_relative_information_score: 56.5954, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8425, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.5601, scimark_benchmark: 1322.5413, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7775, kappa: 0.75, kb_relative_information_score: 55.1241, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.7829, predictive_accuracy: 0.7917, prior_entropy: 2.585, recall: 0.7917, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.23, root_relative_squared_error: 0.6171, scimark_benchmark: 1324.7884,

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