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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21169 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7735, kappa: 0.0786, kb_relative_information_score: -2715.1229, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.787, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.7563, kappa: 0.0048, kb_relative_information_score: -2119.4508, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8182, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.7712, kappa: 0.0677, kb_relative_information_score: -3829.6689, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7928, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6606, f_measure: 0.7788, kappa: 0.1083, kb_relative_information_score: -4642.1806, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.773, predictive_accuracy: 0.8258, prior_entropy: 0.6541, recall: 0.8258, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: -1875.8495, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8186, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.7772, kappa: 0.0961, kb_relative_information_score: -3866.0266, mean_absolute_error: 0.2612, 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: 0.9323, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.7742, kappa: 0.081, kb_relative_information_score: -3940.9743, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7935, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7572, kappa: 0.0084, kb_relative_information_score: -1940.4505, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8239, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: -1940.9274, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8361, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7755, kappa: 0.0867, kb_relative_information_score: -3518.1779, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7921, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9349, 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: 0.6808, f_measure: 0.7768, kappa: 0.0927, kb_relative_information_score: -4110.0633, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7914, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.768, kappa: 0.0962, kb_relative_information_score: -6221.199, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7509, predictive_accuracy: 0.7961, prior_entropy: 0.6541, recall: 0.7961, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7461, kappa: 0.0866, kb_relative_information_score: -6135.5785, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.7482, prior_entropy: 0.6541, recall: 0.7482, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7461, kappa: 0.0866, kb_relative_information_score: -6135.5785, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.7482, prior_entropy: 0.6541, recall: 0.7482, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.7709, kappa: 0.0784, kb_relative_information_score: -5046.1477, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7561, predictive_accuracy: 0.8177, prior_entropy: 0.6541, recall: 0.8177, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.7707, kappa: 0.0898, kb_relative_information_score: -5625.5676, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7534, predictive_accuracy: 0.8085, prior_entropy: 0.6541, recall: 0.8085, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.7665, kappa: 0.0502, kb_relative_information_score: -4118.9974, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7619, predictive_accuracy: 0.8274, prior_entropy: 0.6541, recall: 0.8274, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.766, kappa: 0.0477, kb_relative_information_score: -4062.4378, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7617, predictive_accuracy: 0.8276, prior_entropy: 0.6541, recall: 0.8276, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.7637, kappa: 0.0372, kb_relative_information_score: -3872.7147, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7621, predictive_accuracy: 0.8288, prior_entropy: 0.6541, recall: 0.8288, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6121, f_measure: 0.7698, kappa: 0.0688, kb_relative_information_score: -4694.0352, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7586, predictive_accuracy: 0.8226, prior_entropy: 0.6541, recall: 0.8226, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3802, root_relative_squared_error: 1.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.7681, kappa: 0.0964, kb_relative_information_score: -6102.98, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.751, predictive_accuracy: 0.7962, prior_entropy: 0.6541, recall: 0.7962, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.746, kappa: 0.0862, kb_relative_information_score: -4115.2802, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.7481, prior_entropy: 0.6541, recall: 0.7481, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.7693, kappa: 0.093, kb_relative_information_score: -5986.5547, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7517, predictive_accuracy: 0.8018, prior_entropy: 0.6541, recall: 0.8018, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.399, root_relative_squared_error: 1.0662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.7693, kappa: 0.093, kb_relative_information_score: -5986.5547, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7517, predictive_accuracy: 0.8018, prior_entropy: 0.6541, recall: 0.8018, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.399, root_relative_squared_error: 1.0662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.7711, kappa: 0.077, kb_relative_information_score: -4919.9439, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8203, prior_entropy: 0.6541, recall: 0.8203, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3827, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.769, kappa: 0.0645, kb_relative_information_score: -4588.4715, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.7712, kappa: 0.0849, kb_relative_information_score: -5425.9609, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.755, predictive_accuracy: 0.8139, prior_entropy: 0.6541, recall: 0.8139, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.7681, kappa: 0.059, kb_relative_information_score: -4398.0346, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7594, predictive_accuracy: 0.8249, prior_entropy: 0.6541, recall: 0.8249, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3775, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7669, kappa: 0.0522, kb_relative_information_score: -4180.6363, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.766, kappa: 0.0477, kb_relative_information_score: -4062.4378, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7617, predictive_accuracy: 0.8276, prior_entropy: 0.6541, recall: 0.8276, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.766, kappa: 0.0477, kb_relative_information_score: -4062.4378, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7617, predictive_accuracy: 0.8276, prior_entropy: 0.6541, recall: 0.8276, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.7637, kappa: 0.0372, kb_relative_information_score: -3872.7147, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7621, predictive_accuracy: 0.8288, prior_entropy: 0.6541, recall: 0.8288, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.7702, kappa: 0.0906, kb_relative_information_score: -5805.7797, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7526, predictive_accuracy: 0.806, prior_entropy: 0.6541, recall: 0.806, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3947, root_relative_squared_error: 1.0546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.7649, kappa: 0.0426, kb_relative_information_score: -3959.6336, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7619, predictive_accuracy: 0.8282, prior_entropy: 0.6541, recall: 0.8282, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7461, kappa: 0.0866, kb_relative_information_score: -6135.5785, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.7482, prior_entropy: 0.6541, recall: 0.7482, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7461, kappa: 0.0866, kb_relative_information_score: -6135.5785, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.7482, prior_entropy: 0.6541, recall: 0.7482, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.7711, kappa: 0.077, kb_relative_information_score: -4919.9439, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8203, prior_entropy: 0.6541, recall: 0.8203, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3827, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.746, kappa: 0.0862, kb_relative_information_score: -6230.8892, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.1299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.746, kappa: 0.0862, kb_relative_information_score: -4115.2802, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.7481, prior_entropy: 0.6541, recall: 0.7481, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.768, kappa: 0.0962, kb_relative_information_score: -6221.199, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7509, predictive_accuracy: 0.7961, prior_entropy: 0.6541, recall: 0.7961, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.7712, kappa: 0.0849, kb_relative_information_score: -5425.9609, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.755, predictive_accuracy: 0.8139, prior_entropy: 0.6541, recall: 0.8139, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.768, kappa: 0.0962, kb_relative_information_score: -6221.199, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7509, predictive_accuracy: 0.7961, prior_entropy: 0.6541, recall: 0.7961, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1013,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.763, kappa: 0.0339, kb_relative_information_score: -3799.1113, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7628, predictive_accuracy: 0.8293, prior_entropy: 0.6541, recall: 0.8293, relative_absolute_error: 0.9312, 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: 0.6133, f_measure: 0.769, kappa: 0.0645, kb_relative_information_score: -4588.4715, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6121, f_measure: 0.7698, kappa: 0.0688, kb_relative_information_score: -4694.0352, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7586, predictive_accuracy: 0.8226, prior_entropy: 0.6541, recall: 0.8226, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3802, root_relative_squared_error: 1.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.768, kappa: 0.0962, kb_relative_information_score: -6221.199, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7509, predictive_accuracy: 0.7961, prior_entropy: 0.6541, recall: 0.7961, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.7707, kappa: 0.0898, kb_relative_information_score: -5625.5676, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7534, predictive_accuracy: 0.8085, prior_entropy: 0.6541, recall: 0.8085, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.7681, kappa: 0.0964, kb_relative_information_score: -6102.98, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.751, predictive_accuracy: 0.7962, prior_entropy: 0.6541, recall: 0.7962, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.769, kappa: 0.0645, kb_relative_information_score: -4588.4715, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.7675, kappa: 0.0554, kb_relative_information_score: -4242.9756, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7611, predictive_accuracy: 0.8263, prior_entropy: 0.6541, recall: 0.8263, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.7712, kappa: 0.0849, kb_relative_information_score: -5425.9609, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.755, predictive_accuracy: 0.8139, prior_entropy: 0.6541, recall: 0.8139, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.769, kappa: 0.0645, kb_relative_information_score: -4588.4715, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.7675, kappa: 0.0554, kb_relative_information_score: -4242.9756, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7611, predictive_accuracy: 0.8263, prior_entropy: 0.6541, recall: 0.8263, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.7711, kappa: 0.077, kb_relative_information_score: -4919.9439, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8203, prior_entropy: 0.6541, recall: 0.8203, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3827, root_relative_squared_error: 1.0227,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs