Task
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7782, kappa: 0.1025, kb_relative_information_score: -2731.0781, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7781, predictive_accuracy: 0.8292, prior_entropy: 0.6541, recall: 0.8292, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.7739, kappa: 0.0798, kb_relative_information_score: -2534.7545, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7918, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, kb_relative_information_score: -56240.3034, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.6464, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.2378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, kb_relative_information_score: -53596.0153, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.6008, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, f_measure: 0.7776, kappa: 0.1039, kb_relative_information_score: -38722.8608, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7703, predictive_accuracy: 0.8246, prior_entropy: 0.6541, recall: 0.8246, relative_absolute_error: 1.4009, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7691, kappa: 0.0582, kb_relative_information_score: -2037.5275, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8044, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.778, kappa: 0.1056, kb_relative_information_score: -3426.9772, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7708, predictive_accuracy: 0.8247, prior_entropy: 0.6541, recall: 0.8247, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7725, kappa: 0.0732, kb_relative_information_score: -2302.5878, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7936, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.7659, kappa: 0.0448, kb_relative_information_score: -58211.886, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7983, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 1.6841, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.2643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7701, kappa: 0.0627, kb_relative_information_score: -55060.2301, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8025, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 1.6301, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4597, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.7725, kappa: 0.0743, kb_relative_information_score: -38154.9972, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7832, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 1.3837, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.413, root_relative_squared_error: 1.1037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7718, kappa: 0.0698, kb_relative_information_score: -2188.2108, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8037, predictive_accuracy: 0.8352, prior_entropy: 0.6541, recall: 0.8352, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, kb_relative_information_score: -27558.4489, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.2443, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3858, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7733, kappa: 0.0764, kb_relative_information_score: -2205.6068, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7983, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, f_measure: 0.7718, kappa: 0.0986, kb_relative_information_score: -43786.9893, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7549, predictive_accuracy: 0.8065, prior_entropy: 0.6541, recall: 0.8065, relative_absolute_error: 1.4734, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4313, root_relative_squared_error: 1.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.779, kappa: 0.106, kb_relative_information_score: -3069.9799, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7792, predictive_accuracy: 0.8295, prior_entropy: 0.6541, recall: 0.8295, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.7781, kappa: 0.0988, kb_relative_information_score: -2601.8178, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7907, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7694, kappa: 0.0599, kb_relative_information_score: -47469.0041, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7966, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 1.5089, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4314, root_relative_squared_error: 1.1528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.7594, kappa: 0.0178, kb_relative_information_score: -59117.0734, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7695, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 1.7003, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.2755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7608, kappa: 0.0236, kb_relative_information_score: -35998.0309, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8114, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 1.3466, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3996, root_relative_squared_error: 1.0678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.7756, kappa: 0.0908, kb_relative_information_score: -35947.8849, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7744, predictive_accuracy: 0.8284, prior_entropy: 0.6541, recall: 0.8284, relative_absolute_error: 1.3609, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.415, root_relative_squared_error: 1.1089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7707, kappa: 0.0652, kb_relative_information_score: -2196.5667, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8035, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.7712, kappa: 0.0928, kb_relative_information_score: -33250.181, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7541, predictive_accuracy: 0.8082, prior_entropy: 0.6541, recall: 0.8082, relative_absolute_error: 1.3352, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.7709, kappa: 0.0917, kb_relative_information_score: -47607.4625, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7537, predictive_accuracy: 0.8079, prior_entropy: 0.6541, recall: 0.8079, relative_absolute_error: 1.5174, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4361, root_relative_squared_error: 1.1653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.7727, kappa: 0.0751, kb_relative_information_score: -61505.2717, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7835, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 1.7452, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.3076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.7739, kappa: 0.0892, kb_relative_information_score: -12592.7206, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7626, predictive_accuracy: 0.8213, prior_entropy: 0.6541, recall: 0.8213, relative_absolute_error: 1.0298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3908, root_relative_squared_error: 1.0442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7686, kappa: 0.0559, kb_relative_information_score: -2008.6839, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8073, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7737, kappa: 0.0785, kb_relative_information_score: -2497.4407, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7983, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.7691, kappa: 0.112, kb_relative_information_score: -57549.2423, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7542, predictive_accuracy: 0.7915, prior_entropy: 0.6541, recall: 0.7915, relative_absolute_error: 1.6757, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.2623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.773, kappa: 0.0753, kb_relative_information_score: -2487.421, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7718, kappa: 0.0697, kb_relative_information_score: -2262.4318, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.802, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7796, kappa: 0.1153, kb_relative_information_score: -3562.6106, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.771, predictive_accuracy: 0.8233, prior_entropy: 0.6541, recall: 0.8233, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7638, kappa: 0.0361, kb_relative_information_score: -54943.8837, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8006, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 1.627, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.2257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, f_measure: 0.7681, kappa: 0.1038, kb_relative_information_score: -53813.216, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7522, predictive_accuracy: 0.7927, prior_entropy: 0.6541, recall: 0.7927, relative_absolute_error: 1.614, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7775, kappa: 0.0974, kb_relative_information_score: -3284.9865, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7823, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, kb_relative_information_score: -53135.3872, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.594, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4505, root_relative_squared_error: 1.2039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.7719, kappa: 0.0701, kb_relative_information_score: -2215.8376, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8036, predictive_accuracy: 0.8352, prior_entropy: 0.6541, recall: 0.8352, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.7689, kappa: 0.0576, kb_relative_information_score: -60167.3295, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7939, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 1.7197, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4825, root_relative_squared_error: 1.2892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7675, kappa: 0.0516, kb_relative_information_score: -2002.7649, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7668, kappa: 0.0485, kb_relative_information_score: -46272.3995, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 1.49, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4271, root_relative_squared_error: 1.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.7775, kappa: 0.0974, kb_relative_information_score: -3026.7634, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7828, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7661, kappa: 0.0463, kb_relative_information_score: -63396.2835, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7846, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 1.7814, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.499, root_relative_squared_error: 1.3334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6165, f_measure: 0.7721, kappa: 0.0914, kb_relative_information_score: -47659.573, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7557, predictive_accuracy: 0.8121, prior_entropy: 0.6541, recall: 0.8121, relative_absolute_error: 1.5172, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4357, root_relative_squared_error: 1.1643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.7574, kappa: 0.0096, kb_relative_information_score: -57185.3627, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7946, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 1.6644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4679, root_relative_squared_error: 1.2503,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7722, kappa: 0.0724, kb_relative_information_score: -56394.703, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7883, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 1.6533, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4656, root_relative_squared_error: 1.2441,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.7551, kb_relative_information_score: -3694.7743, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9852, scimark_benchmark: 1846.985, usercpu_time_millis: 14.455, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 13.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: -1857.6056, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8276, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9658, scimark_benchmark: 1854.4431, usercpu_time_millis: 60.177, usercpu_time_millis_testing: 4.457, usercpu_time_millis_training: 55.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7551, kb_relative_information_score: -2401.4573, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9725, scimark_benchmark: 1853.5297, usercpu_time_millis: 57.873, usercpu_time_millis_testing: 2.989, usercpu_time_millis_training: 54.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.7551, kb_relative_information_score: -2693.7146, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9783, scimark_benchmark: 1844.149, usercpu_time_millis: 45.606, usercpu_time_millis_testing: 2.677, usercpu_time_millis_training: 42.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.7551, kb_relative_information_score: -1708.1513, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9839, scimark_benchmark: 1842.6198, usercpu_time_millis: 55.677, usercpu_time_millis_testing: 5.526, usercpu_time_millis_training: 50.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.7756, kappa: 0.0873, kb_relative_information_score: -3704.821, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7905, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9688, scimark_benchmark: 1858.6076, usercpu_time_millis: 53.115, usercpu_time_millis_testing: 2.481, usercpu_time_millis_training: 50.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7551, kb_relative_information_score: -1969.6253, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9719, scimark_benchmark: 1850.8706, usercpu_time_millis: 67.637, usercpu_time_millis_testing: 5.055, usercpu_time_millis_training: 62.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 0.8531, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 33.717, usercpu_time_millis_testing: 5.733, usercpu_time_millis_training: 27.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.7555, kappa: 0.0014, kb_relative_information_score: -3077.5843, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7823, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.974, scimark_benchmark: 1843.7454, usercpu_time_millis: 45.897, usercpu_time_millis_testing: 1.589, usercpu_time_millis_training: 44.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -0.0045, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1845.9978, usercpu_time_millis: 42.074, usercpu_time_millis_testing: 8.609, usercpu_time_millis_training: 33.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.7551, kb_relative_information_score: -3958.0702, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9854, scimark_benchmark: 1832.0698, usercpu_time_millis: 53.665, usercpu_time_millis_testing: 2.819, usercpu_time_millis_training: 50.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.7551, kb_relative_information_score: -1507.1048, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9886, scimark_benchmark: 1846.1643, usercpu_time_millis: 44.323, usercpu_time_millis_testing: 5.113, usercpu_time_millis_training: 39.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.7551, kb_relative_information_score: -2035.8071, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9875, scimark_benchmark: 1799.2518, usercpu_time_millis: 79.806, usercpu_time_millis_testing: 6.031, usercpu_time_millis_training: 73.775,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs