OpenML
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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21169 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2639.9649, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.7555, kappa: 0.0017, kb_relative_information_score: -3147.0627, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7953, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.7551, kb_relative_information_score: -1402.934, mean_absolute_error: 0.2785, 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: 0.9943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -9268.9611, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0625, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -9186.6245, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.063, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7664, kappa: 0.0478, kb_relative_information_score: -2138.4885, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7785, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, f_measure: 0.7583, kappa: 0.0132, kb_relative_information_score: 122.2185, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8161, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5343, f_measure: 0.757, kappa: 0.0079, kb_relative_information_score: -4482.241, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.81, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 1.0221, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.758, kappa: 0.0118, kb_relative_information_score: 134.7312, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8157, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5447, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 87.1497, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8265, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: 147.28, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8122, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, f_measure: 0.7568, kappa: 0.007, kb_relative_information_score: -874.1709, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8107, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: 20.7619, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.7575, kappa: 0.0099, kb_relative_information_score: 145.0802, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8118, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.7585, kappa: 0.014, kb_relative_information_score: -242.8132, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.7583, kappa: 0.0132, kb_relative_information_score: 121.2769, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8177, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: -1400.2131, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7928, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5962, f_measure: 0.7578, kappa: 0.0108, kb_relative_information_score: 121.157, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.813, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, f_measure: 0.7578, kappa: 0.0108, kb_relative_information_score: 123.8935, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.813, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.7576, kappa: 0.0104, kb_relative_information_score: 157.463, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8114, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: 114.7557, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8172, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, f_measure: 0.7573, kappa: 0.0089, kb_relative_information_score: 146.1241, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8161, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5486, f_measure: 0.7587, kappa: 0.0147, kb_relative_information_score: -452.6345, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8084, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.7576, kappa: 0.0102, kb_relative_information_score: 128.4266, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8145, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: 21.3015, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: 23.9408, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5828, f_measure: 0.7575, kappa: 0.01, kb_relative_information_score: 112.5942, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8137, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.7567, kappa: 0.0067, kb_relative_information_score: 144.9844, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8205, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.7575, kappa: 0.0099, kb_relative_information_score: -7.8616, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7924, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, f_measure: 0.7567, kappa: 0.0066, kb_relative_information_score: -560.1868, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7924, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.7568, kappa: 0.007, kb_relative_information_score: -369.2986, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7844, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -275.7557, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.788, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: 108.4306, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8165, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.7558, kappa: 0.0026, kb_relative_information_score: 72.0987, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8342, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, f_measure: 0.7556, kappa: 0.0019, kb_relative_information_score: 72.0029, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8264, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.7569, kappa: 0.0074, kb_relative_information_score: 101.3047, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8103, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.564, f_measure: 0.7572, kappa: 0.0084, kb_relative_information_score: -468.6882, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7763, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: 123.0241, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8178, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 15.3644, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 135.8491, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.7555, kappa: 0.0015, kb_relative_information_score: -3166.6379, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9882, scimark_benchmark: 1852.0126, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.7551, kb_relative_information_score: -2333.5203, mean_absolute_error: 0.2776, 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: 0.9909, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9933, scimark_benchmark: 1843.6938, usercpu_time_millis: 0.509, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1842.8566, usercpu_time_millis: 0.433, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1844.7928, usercpu_time_millis: 0.445, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1834.6378, usercpu_time_millis: 0.442, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1851.8567, usercpu_time_millis: 0.463, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.7564, kappa: 0.0051, kb_relative_information_score: -3137.3842, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8197, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.987, scimark_benchmark: 1849.8294, usercpu_time_millis: 0.698, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1853.3841, usercpu_time_millis: 0.463, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5753, f_measure: 0.7551, kb_relative_information_score: -30.0973, 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: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1849.8294, usercpu_time_millis: 0.485, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1849.8294, usercpu_time_millis: 0.418, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1848.1927, usercpu_time_millis: 0.458, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1851.8567, usercpu_time_millis: 0.489, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1853.9849, usercpu_time_millis: 0.5, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.7553, kappa: 0.0009, kb_relative_information_score: -3141.6963, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8039, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9887, scimark_benchmark: 1850.7491, usercpu_time_millis: 0.647, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1847.8034, usercpu_time_millis: 0.504, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.448,

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