OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 7295 Supervised Classification Click_prediction_small 39610 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, average_cost: 16.2809, f_measure: 0.767, kappa: 0.0497, kb_relative_information_score: -2948.0517, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1298.0274, total_cost: 650390, usercpu_time_millis: 2175.194, usercpu_time_millis_testing: 90.619, usercpu_time_millis_training: 2084.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, average_cost: 16.8384, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2376.8665, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7336, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1286.7407, total_cost: 672660, usercpu_time_millis: 367.504, usercpu_time_millis_testing: 22.465, usercpu_time_millis_training: 345.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2017.5495, mean_absolute_error: 0.2703, 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: 0.9648, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9738, scimark_benchmark: 1323.9319, total_cost: 672800, usercpu_time_millis: 507.42, usercpu_time_millis_testing: 42.879, usercpu_time_millis_training: 464.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, average_cost: 16.7212, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.6192, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1309.1959, total_cost: 667980, usercpu_time_millis: 283.223, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 283.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, average_cost: 16.6086, f_measure: 0.7603, kappa: 0.0215, kb_relative_information_score: -1578.758, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8061, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9608, scimark_benchmark: 1293.6684, total_cost: 663480, usercpu_time_millis: 2230.359, usercpu_time_millis_testing: 48.103, usercpu_time_millis_training: 2182.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, average_cost: 16.6229, f_measure: 0.7598, kappa: 0.0194, kb_relative_information_score: -2832.9011, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.787, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1341.1592, total_cost: 664050, usercpu_time_millis: 52.902, usercpu_time_millis_testing: 1.327, usercpu_time_millis_training: 51.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, average_cost: 16.8424, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -1799.3247, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.968, scimark_benchmark: 1334.3613, total_cost: 672820, usercpu_time_millis: 1850.241, usercpu_time_millis_testing: 89.175, usercpu_time_millis_training: 1761.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1913.0048, mean_absolute_error: 0.2684, 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: 0.9582, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1315.7105, total_cost: 672800, usercpu_time_millis: 920.815, usercpu_time_millis_testing: 58.414, usercpu_time_millis_training: 862.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, average_cost: 16.5768, f_measure: 0.761, kappa: 0.0242, kb_relative_information_score: -2513.7872, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8023, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1319.9308, total_cost: 662210, usercpu_time_millis: 2032.021, usercpu_time_millis_testing: 72.29, usercpu_time_millis_training: 1959.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, average_cost: 16.3976, f_measure: 0.7647, kappa: 0.0398, kb_relative_information_score: -2168.4225, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.961, scimark_benchmark: 1329.3573, total_cost: 655050, usercpu_time_millis: 3206.648, usercpu_time_millis_testing: 64.671, usercpu_time_millis_training: 3141.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, average_cost: 16.2589, f_measure: 0.7675, kappa: 0.0517, kb_relative_information_score: -3075.548, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9637, scimark_benchmark: 1300.7371, total_cost: 649510, usercpu_time_millis: 83.527, usercpu_time_millis_testing: 5.319, usercpu_time_millis_training: 78.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, average_cost: 16.7215, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2754.4399, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8144, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9824, scimark_benchmark: 1290.5727, total_cost: 667990, usercpu_time_millis: 614.261, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 614.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, average_cost: 15.6641, f_measure: 0.7788, kappa: 0.1003, kb_relative_information_score: -816.9388, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8028, predictive_accuracy: 0.8363, prior_entropy: 0.6541, recall: 0.8363, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.356, root_relative_squared_error: 0.9513, scimark_benchmark: 1309.4677, total_cost: 625750, usercpu_time_millis: 1470.456, usercpu_time_millis_testing: 32.749, usercpu_time_millis_training: 1437.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2767.1878, mean_absolute_error: 0.2762, 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: 0.9859, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9788, scimark_benchmark: 1280.0485, total_cost: 672800, usercpu_time_millis: 1673.164, usercpu_time_millis_testing: 19.42, usercpu_time_millis_training: 1653.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -19718.6766, mean_absolute_error: 0.325, 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: 1.1604, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3788, root_relative_squared_error: 1.0122, scimark_benchmark: 1259.9126, total_cost: 672800, usercpu_time_millis: 1249.872, usercpu_time_millis_testing: 16.657, usercpu_time_millis_training: 1233.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, average_cost: 16.721, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -1884.7414, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8024, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1273.281, total_cost: 667970, usercpu_time_millis: 75.858, usercpu_time_millis_testing: 4.6, usercpu_time_millis_training: 71.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, average_cost: 16.549, f_measure: 0.7616, kappa: 0.0266, kb_relative_information_score: -2541.7936, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8011, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1263.2744, total_cost: 661100, usercpu_time_millis: 3506.948, usercpu_time_millis_testing: 109.041, usercpu_time_millis_training: 3397.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, average_cost: 16.7212, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3385.8215, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1255.7528, total_cost: 667980, usercpu_time_millis: 932.618, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 932.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -42619.9328, mean_absolute_error: 0.4002, 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: 1.4287, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.1077, scimark_benchmark: 1285.8492, total_cost: 672800, usercpu_time_millis: 274.145, usercpu_time_millis_testing: 3.856, usercpu_time_millis_training: 270.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, average_cost: 16.2153, f_measure: 0.7684, kappa: 0.0556, kb_relative_information_score: -3209.5015, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8015, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9618, scimark_benchmark: 1294.2613, total_cost: 647770, usercpu_time_millis: 526.089, usercpu_time_millis_testing: 26.628, usercpu_time_millis_training: 499.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, average_cost: 16.721, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3511.3917, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9819, scimark_benchmark: 1271.5291, total_cost: 667970, usercpu_time_millis: 556.345, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 556.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, average_cost: 14.8275, f_measure: 0.7889, kappa: 0.151, kb_relative_information_score: -293.261, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.79, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1288.738, total_cost: 592330, usercpu_time_millis: 10217.515, usercpu_time_millis_testing: 170.882, usercpu_time_millis_training: 10046.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, average_cost: 16.7212, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3262.8909, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1274.7199, total_cost: 667980, usercpu_time_millis: 1155.491, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 1155.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, average_cost: 16.7212, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3265.2585, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1306.5214, total_cost: 667980, usercpu_time_millis: 378.795, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 378.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, average_cost: 16.6214, f_measure: 0.7599, kappa: 0.0197, kb_relative_information_score: -2351.757, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7905, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1301.4994, total_cost: 663990, usercpu_time_millis: 3875.352, usercpu_time_millis_testing: 82.23, usercpu_time_millis_training: 3793.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, average_cost: 16.0546, f_measure: 0.7715, kappa: 0.0686, kb_relative_information_score: -2786.4295, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7994, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1292.7781, total_cost: 641350, usercpu_time_millis: 2626.28, usercpu_time_millis_testing: 36.684, usercpu_time_millis_training: 2589.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, average_cost: 16.5923, f_measure: 0.7607, kappa: 0.0229, kb_relative_information_score: -2521.7445, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8051, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1325.2448, total_cost: 662830, usercpu_time_millis: 225.151, usercpu_time_millis_testing: 8.187, usercpu_time_millis_training: 216.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, average_cost: 16.7265, f_measure: 0.7578, kappa: 0.0108, kb_relative_information_score: -3009.1242, mean_absolute_error: 0.2714, 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: 0.9689, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1282.4554, total_cost: 668190, usercpu_time_millis: 444.413, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 444.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, average_cost: 16.6702, f_measure: 0.7589, kappa: 0.0157, kb_relative_information_score: -2297.9689, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1304.1942, total_cost: 665940, usercpu_time_millis: 2221.422, usercpu_time_millis_testing: 64.79, usercpu_time_millis_training: 2156.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, average_cost: 16.8161, f_measure: 0.7556, kappa: 0.0019, kb_relative_information_score: -1023.3758, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7464, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1342.5702, total_cost: 671770, usercpu_time_millis: 12301.57, usercpu_time_millis_testing: 37.263, usercpu_time_millis_training: 12264.307,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, 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: 1314.0224, total_cost: 672800, usercpu_time_millis: 3.66, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 3.571,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, 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: 1311.8268, total_cost: 672800, usercpu_time_millis: 2.493, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 2.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, 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: 1299.7832, total_cost: 672800, usercpu_time_millis: 2.738, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 2.696,

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