Task
Supervised Classification on gas-drift

Supervised Classification on gas-drift

Task 9986 Supervised Classification gas-drift 9604 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9692, kappa: 0.9627, kb_relative_information_score: 13380.9804, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 2.5457, recall: 0.9692, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.2505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9625, kappa: 0.9545, kb_relative_information_score: 13284.332, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 2.5457, recall: 0.9625, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.2673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9713, kappa: 0.9652, kb_relative_information_score: 13490.5828, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9713, predictive_accuracy: 0.9713, prior_entropy: 2.5457, recall: 0.9713, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.2391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9723, kappa: 0.9664, kb_relative_information_score: 13450.7268, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 2.5457, recall: 0.9723, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.2383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.958, kappa: 0.9491, kb_relative_information_score: 13170.1863, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9581, predictive_accuracy: 0.958, prior_entropy: 2.5457, recall: 0.958, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.2838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9612, kappa: 0.9529, kb_relative_information_score: 13245.837, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9612, predictive_accuracy: 0.9612, prior_entropy: 2.5457, recall: 0.9612, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9688, kappa: 0.9621, kb_relative_information_score: 13410.3394, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9688, predictive_accuracy: 0.9688, prior_entropy: 2.5457, recall: 0.9688, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.2449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9648, kappa: 0.9573, kb_relative_information_score: 13338.7554, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9649, predictive_accuracy: 0.9648, prior_entropy: 2.5457, recall: 0.9648, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9715, kappa: 0.9654, kb_relative_information_score: 13456.8717, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 2.5457, recall: 0.9715, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.2543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9698, kappa: 0.9634, kb_relative_information_score: 13431.1266, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 2.5457, recall: 0.9698, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9614, kappa: 0.9531, kb_relative_information_score: 13255.7257, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 2.5457, recall: 0.9614, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9617, kappa: 0.9536, kb_relative_information_score: 13248.0481, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9618, predictive_accuracy: 0.9618, prior_entropy: 2.5457, recall: 0.9618, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9666, kappa: 0.9594, kb_relative_information_score: 13331.3982, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 2.5457, recall: 0.9666, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.2578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9497, kappa: 0.939, kb_relative_information_score: 13063.9239, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9498, predictive_accuracy: 0.9497, prior_entropy: 2.5457, recall: 0.9497, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.3026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9718, kappa: 0.9658, kb_relative_information_score: 13459.2429, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 2.5457, recall: 0.9718, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.2443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9591, kappa: 0.9504, kb_relative_information_score: 13188.0086, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9592, predictive_accuracy: 0.9591, prior_entropy: 2.5457, recall: 0.9591, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9719, kappa: 0.9659, kb_relative_information_score: 13474.5346, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 2.5457, recall: 0.9719, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.2425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9685, kappa: 0.9618, kb_relative_information_score: 13408.9431, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 2.5457, recall: 0.9685, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.2471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9623, kappa: 0.9543, kb_relative_information_score: 13282.9668, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9624, predictive_accuracy: 0.9623, prior_entropy: 2.5457, recall: 0.9623, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9741, kappa: 0.9685, kb_relative_information_score: 13499.0913, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 2.5457, recall: 0.974, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.2367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9728, kappa: 0.9669, kb_relative_information_score: 13501.6254, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 2.5457, recall: 0.9728, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.2381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9694, kappa: 0.9628, kb_relative_information_score: 13418.2519, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 2.5457, recall: 0.9694, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.2436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9716, kappa: 0.9655, kb_relative_information_score: 13455.9312, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9717, predictive_accuracy: 0.9716, prior_entropy: 2.5457, recall: 0.9716, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9649, kappa: 0.9573, kb_relative_information_score: 13308.9108, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9649, predictive_accuracy: 0.9648, prior_entropy: 2.5457, recall: 0.9648, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9541, kappa: 0.9443, kb_relative_information_score: 13131.2153, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9542, predictive_accuracy: 0.9541, prior_entropy: 2.5457, recall: 0.9541, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9545, kappa: 0.9447, kb_relative_information_score: 13131.1761, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9545, predictive_accuracy: 0.9544, prior_entropy: 2.5457, recall: 0.9544, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9661, kappa: 0.9589, kb_relative_information_score: 13321.4189, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9662, predictive_accuracy: 0.9661, prior_entropy: 2.5457, recall: 0.9661, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.2604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9708, kappa: 0.9646, kb_relative_information_score: 13433.3497, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 2.5457, recall: 0.9708, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.2421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9731, kappa: 0.9674, kb_relative_information_score: 13483.7647, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 2.5457, recall: 0.9731, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.2477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9585, kappa: 0.9497, kb_relative_information_score: 13204.3139, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 2.5457, recall: 0.9585, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9588, kappa: 0.95, kb_relative_information_score: 13218.3928, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9588, predictive_accuracy: 0.9588, prior_entropy: 2.5457, recall: 0.9588, relative_absolute_error: 0.0624, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9604, kappa: 0.9519, kb_relative_information_score: 13251.5208, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9604, predictive_accuracy: 0.9604, prior_entropy: 2.5457, recall: 0.9604, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9542, kappa: 0.9444, kb_relative_information_score: 13127.7526, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 2.5457, recall: 0.9542, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9582, kappa: 0.9493, kb_relative_information_score: 13205.1304, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9582, predictive_accuracy: 0.9582, prior_entropy: 2.5457, recall: 0.9582, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9663, kappa: 0.9591, kb_relative_information_score: 13365.1998, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 2.5457, recall: 0.9663, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.2593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9503, kappa: 0.9397, kb_relative_information_score: 13077.606, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9504, predictive_accuracy: 0.9503, prior_entropy: 2.5457, recall: 0.9503, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9699, kappa: 0.9635, kb_relative_information_score: 13451.7066, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 2.5457, recall: 0.9699, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9579, kappa: 0.949, kb_relative_information_score: 13203.9412, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.958, predictive_accuracy: 0.9579, prior_entropy: 2.5457, recall: 0.9579, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9569, kappa: 0.9477, kb_relative_information_score: 13172.0103, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9569, predictive_accuracy: 0.9569, prior_entropy: 2.5457, recall: 0.9569, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.2863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9613, kappa: 0.9531, kb_relative_information_score: 13228.8956, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 2.5457, recall: 0.9613, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9678, kappa: 0.9609, kb_relative_information_score: 13402.3765, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 2.5457, recall: 0.9678, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9593, kappa: 0.9506, kb_relative_information_score: 13200.9821, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9594, predictive_accuracy: 0.9593, prior_entropy: 2.5457, recall: 0.9593, relative_absolute_error: 0.0651, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.2785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9614, kappa: 0.9532, kb_relative_information_score: 13246.156, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 2.5457, recall: 0.9614, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.2723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9512, kappa: 0.9407, kb_relative_information_score: 13094.8872, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9513, predictive_accuracy: 0.9511, prior_entropy: 2.5457, recall: 0.9511, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9579, kappa: 0.9489, kb_relative_information_score: 13170.0477, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.958, predictive_accuracy: 0.9579, prior_entropy: 2.5457, recall: 0.9579, relative_absolute_error: 0.0682, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.2838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9602, kappa: 0.9518, kb_relative_information_score: 13238.4931, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 2.5457, recall: 0.9602, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2766,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9736, kappa: 0.9679, kb_relative_information_score: 13481.3637, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9736, predictive_accuracy: 0.9735, prior_entropy: 2.5457, recall: 0.9735, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2379,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9671, kappa: 0.9601, kb_relative_information_score: 13336.8072, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 2.5457, recall: 0.9671, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2575,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9741, kappa: 0.9686, kb_relative_information_score: 13493.121, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9742, predictive_accuracy: 0.9741, prior_entropy: 2.5457, recall: 0.9741, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.2349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9611, kappa: 0.9528, kb_relative_information_score: 13254.5367, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 2.5457, recall: 0.9611, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9575, kappa: 0.9485, kb_relative_information_score: 13163.0641, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9576, predictive_accuracy: 0.9575, prior_entropy: 2.5457, recall: 0.9575, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.2852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9487, kappa: 0.9378, kb_relative_information_score: 13055.9276, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 2.5457, recall: 0.9487, relative_absolute_error: 0.0783, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9554, kappa: 0.9458, kb_relative_information_score: 13146.4573, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 2.5457, recall: 0.9554, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.2907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9661, kappa: 0.9588, kb_relative_information_score: 13344.145, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9662, predictive_accuracy: 0.9661, prior_entropy: 2.5457, recall: 0.9661, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.2607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9665, kappa: 0.9594, kb_relative_information_score: 13333.0899, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 2.5457, recall: 0.9665, relative_absolute_error: 0.0516, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.2581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9692, kappa: 0.9627, kb_relative_information_score: 13408.6386, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 2.5457, recall: 0.9692, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.2469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.959, kappa: 0.9503, kb_relative_information_score: 13194.3153, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9591, predictive_accuracy: 0.959, prior_entropy: 2.5457, recall: 0.959, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.2801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9657, kappa: 0.9583, kb_relative_information_score: 13343.9007, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9657, predictive_accuracy: 0.9656, prior_entropy: 2.5457, recall: 0.9656, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9695, kappa: 0.963, kb_relative_information_score: 13389.6363, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 2.5457, recall: 0.9695, relative_absolute_error: 0.0464, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.2469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9618, kappa: 0.9536, kb_relative_information_score: 13234.4121, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9618, predictive_accuracy: 0.9618, prior_entropy: 2.5457, recall: 0.9618, relative_absolute_error: 0.0617, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.1017, root_relative_squared_error: 0.2744,

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

OpenML APIs