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: 0.6878, f_measure: 0.7759, kappa: 0.0879, kb_relative_information_score: -2599.4989, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, 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: 0.3614, root_relative_squared_error: 0.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.7742, kappa: 0.0824, kb_relative_information_score: -54363.6153, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7802, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 1.6331, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.7719, kappa: 0.0703, kb_relative_information_score: -2193.9827, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.803, predictive_accuracy: 0.8351, prior_entropy: 0.6541, recall: 0.8351, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7705, kappa: 0.0644, kb_relative_information_score: -2319.4791, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8024, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.773, kappa: 0.0753, kb_relative_information_score: -2257.425, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, kb_relative_information_score: -55577.1956, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.6347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4603, root_relative_squared_error: 1.2301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.7668, kappa: 0.0488, kb_relative_information_score: -62045.9073, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7917, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 1.7548, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.3139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7692, kappa: 0.0587, kb_relative_information_score: -2054.7587, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.759, kappa: 0.016, kb_relative_information_score: -51246.6272, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8081, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 1.5648, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4437, root_relative_squared_error: 1.1857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, kb_relative_information_score: -57806.0739, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.6747, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.2571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7721, kappa: 0.0714, kb_relative_information_score: -2216.0057, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7763, kappa: 0.09, kb_relative_information_score: -2696.8022, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7956, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, f_measure: 0.7691, kappa: 0.1044, kb_relative_information_score: -58136.4456, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7529, predictive_accuracy: 0.7952, prior_entropy: 0.6541, recall: 0.7952, relative_absolute_error: 1.6843, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.474, root_relative_squared_error: 1.2666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7766, kappa: 0.0924, kb_relative_information_score: -2353.9626, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7871, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7732, kappa: 0.0764, kb_relative_information_score: -2191.2312, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.794, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.7684, kappa: 0.0558, kb_relative_information_score: -62359.3996, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7897, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 1.7609, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.3183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7695, kappa: 0.06, kb_relative_information_score: -2097.1931, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8048, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9228, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.7773, kappa: 0.0986, kb_relative_information_score: -3145.8656, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7761, predictive_accuracy: 0.8286, prior_entropy: 0.6541, recall: 0.8286, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.7635, kappa: 0.0349, kb_relative_information_score: -45406.1179, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7993, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 1.4759, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.1327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7707, kappa: 0.0652, kb_relative_information_score: -2287.6336, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8003, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.7705, kappa: 0.0644, kb_relative_information_score: -2096.7585, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8034, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.0179, mean_absolute_error: 0.2801, 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, 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: 0.6796, f_measure: 0.7769, kappa: 0.094, kb_relative_information_score: -2591.4802, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7858, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.7759, kappa: 0.0883, kb_relative_information_score: -2476.7708, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7926, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.7721, kappa: 0.0724, kb_relative_information_score: -59155.1281, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7853, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 1.7021, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.2777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.0182, mean_absolute_error: 0.2801, 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, 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: 0.6864, f_measure: 0.7717, kappa: 0.0701, kb_relative_information_score: -48217.5517, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7898, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 1.5215, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4345, root_relative_squared_error: 1.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.7702, kappa: 0.0922, kb_relative_information_score: -33873.1926, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7527, predictive_accuracy: 0.8052, prior_entropy: 0.6541, recall: 0.8052, relative_absolute_error: 1.3441, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4094, root_relative_squared_error: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.7672, kappa: 0.1051, kb_relative_information_score: -58130.5626, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.752, predictive_accuracy: 0.7896, prior_entropy: 0.6541, recall: 0.7896, relative_absolute_error: 1.6843, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4741, root_relative_squared_error: 1.2667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.7757, kappa: 0.0892, kb_relative_information_score: -2795.7093, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7816, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7704, kappa: 0.0636, kb_relative_information_score: -1967.7429, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8051, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7708, kappa: 0.0657, kb_relative_information_score: -2270.9884, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8007, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7787, kappa: 0.1055, kb_relative_information_score: -2988.5736, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7771, predictive_accuracy: 0.8285, prior_entropy: 0.6541, recall: 0.8285, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7729, kappa: 0.0747, kb_relative_information_score: -2309.8958, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8035, predictive_accuracy: 0.8354, prior_entropy: 0.6541, recall: 0.8354, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.7757, kappa: 0.0899, kb_relative_information_score: -3215.5253, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7783, predictive_accuracy: 0.8301, prior_entropy: 0.6541, recall: 0.8301, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.7726, kappa: 0.0733, kb_relative_information_score: -2407.7892, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8013, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.7786, kappa: 0.1089, kb_relative_information_score: -3361.6789, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7713, predictive_accuracy: 0.8245, prior_entropy: 0.6541, recall: 0.8245, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7687, kappa: 0.0565, kb_relative_information_score: -53521.2843, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8003, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 1.6083, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.2166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.7711, kappa: 0.0667, kb_relative_information_score: -2080.8515, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.801, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7738, kappa: 0.0785, kb_relative_information_score: -2090.8902, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.7768, kappa: 0.0946, kb_relative_information_score: -3352.9754, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.781, predictive_accuracy: 0.8308, prior_entropy: 0.6541, recall: 0.8308, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7752, kappa: 0.0847, kb_relative_information_score: -2598.3915, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.8355, prior_entropy: 0.6541, recall: 0.8355, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7682, kappa: 0.0546, kb_relative_information_score: -2033.349, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8044, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7745, kappa: 0.0821, kb_relative_information_score: -2736.9266, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7962, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7673, kappa: 0.0508, kb_relative_information_score: -1992.8305, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8046, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7715, kappa: 0.0687, kb_relative_information_score: -2144.4824, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8039, predictive_accuracy: 0.8351, prior_entropy: 0.6541, recall: 0.8351, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9609,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.7665, kappa: 0.0972, kb_relative_information_score: -44534.9276, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7502, predictive_accuracy: 0.7914, prior_entropy: 0.6541, recall: 0.7914, relative_absolute_error: 1.4889, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.167,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7624, kappa: 0.0299, kb_relative_information_score: -59101.8676, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8094, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 1.6993, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.2744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.7709, kappa: 0.0669, kb_relative_information_score: -58078.0134, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7852, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 1.6823, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4728, root_relative_squared_error: 1.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7755, kappa: 0.087, kb_relative_information_score: -2644.9271, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7893, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7673, kappa: 0.0509, kb_relative_information_score: -53279.4539, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 1.5998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7688, kappa: 0.0573, kb_relative_information_score: -2047.1725, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8021, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: -75.0892, 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: 0.9996, 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: 0.6974, f_measure: 0.7702, kappa: 0.0628, kb_relative_information_score: -2083.4704, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8063, predictive_accuracy: 0.8351, prior_entropy: 0.6541, recall: 0.8351, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -104075.7212, mean_absolute_error: 0.8316, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, predictive_accuracy: 0.1684, prior_entropy: 0.6541, recall: 0.1684, relative_absolute_error: 2.9687, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.9119, root_relative_squared_error: 2.4367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.7711, kappa: 0.0678, kb_relative_information_score: -57135.1035, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7837, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 1.6651, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4683, root_relative_squared_error: 1.2514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7715, kappa: 0.0757, kb_relative_information_score: -61131.0212, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7617, predictive_accuracy: 0.8234, prior_entropy: 0.6541, recall: 0.8234, relative_absolute_error: 1.7372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.487, root_relative_squared_error: 1.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7751, kappa: 0.0867, kb_relative_information_score: -55549.0106, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7804, predictive_accuracy: 0.8309, prior_entropy: 0.6541, recall: 0.8309, relative_absolute_error: 1.6407, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4629, root_relative_squared_error: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7751, kappa: 0.0844, kb_relative_information_score: -2246.1586, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7971, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.7782, kappa: 0.1049, kb_relative_information_score: -60859.9779, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7736, predictive_accuracy: 0.8266, prior_entropy: 0.6541, recall: 0.8266, relative_absolute_error: 1.7318, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.2972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7755, kappa: 0.0864, kb_relative_information_score: -2801.9842, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7939, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.7742, kappa: 0.0944, kb_relative_information_score: -34307.4138, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7607, predictive_accuracy: 0.818, prior_entropy: 0.6541, recall: 0.818, relative_absolute_error: 1.3443, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4056, root_relative_squared_error: 1.0837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.0182, mean_absolute_error: 0.2801, 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, 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: 0.6591, f_measure: 0.7621, kappa: 0.1448, kb_relative_information_score: -61288.3775, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7605, predictive_accuracy: 0.7638, prior_entropy: 0.6541, recall: 0.7638, relative_absolute_error: 1.7402, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.3035,

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

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

OpenML APIs